Economic Developments in 2015: 11 19 The Malaysian Economy 44 60
Economic Developments in 2015: 11 19 The Malaysian Economy 44 60
THE INTERNATIONAL ECONOMIC                             growth and 3.8% for global trade. As the year
ENVIRONMENT                                            progressed, however, it became apparent that
                                                       the global economy continued to underperform.
In 2015, the global economic and financial             In some large emerging economies, underlying
environment was shaped by three major                  domestic constraints, including high indebtedness,
developments. First, global commodity prices fell      outweighed the benefits to domestic demand from
sharply to post-crisis lows. This had significant      low commodity prices. This was compounded
repercussions for the growth prospects of both the     by heightened volatility in the financial markets,
commodity-exporting and commodity-importing            which dampened consumer, business and investor
economies, as well as the inflation outcomes in        sentiments. The improvement in major advanced
these economies. Second, international financial       economies remained modest, weighed down by
markets experienced heightened volatility driven       the lingering legacies of the financial crisis, which
by policy shifts in major economies, speculative       included the high private sector indebtedness,
activity, heightened risk aversion, and the drastic    strained fiscal positions and slack in the labour
fall in the prices of oil and other key commodities.   markets. As a result, the global growth outlook
Third, global growth moderated. The modest             was successively revised downwards throughout
improvements in the advanced economies were            the year. In addition, the growth of global trade
insufficient to offset the moderation in growth        saw a particularly large downward revision,
in emerging economies. Emerging economies,             registering its slowest pace of expansion in the
nevertheless, remained the key contributor to          post-crisis period.
global growth with a share of 73%. Against a
backdrop of diverse uncertainties arising from         In the US, economic activity gained further
elevated concerns over growth, inflation and           traction, driven mainly by an improvement
external spillovers, the policy outlook became         in the labour and housing markets. Of
more challenging during the year. Policymakers         significance, the economy produced more than
in many economies also faced fiscal constraints,       200,000 new jobs on average each month.
resulting in continued overdependence on               The unemployment rate fell to 5%, the lowest
monetary policy to support growth. This was            rate since 2008. In the housing market, sales,
particularly the case in some of the advanced          new construction and prices also trended
economies, where the policy rates have become          higher. These developments supported the
negative. As a consequence, monetary policy            improvement in household balance sheets.
decisions and measures became a huge driving           The decline in gasoline prices to an average of
factor in the financial markets.
                                                             Chart 1.1
                                                       4.5                                                2012
                                                                                                                                ANNUAL REPORT 2015
                                Notwithstanding the weakness in the commodity-                          sectors with excess capacity. The economy faced
                                related sectors, investment activity was sustained                      stronger headwinds arising from weak external
                                by spending in the services sector which accounts                       demand and higher financial market uncertainty,
                                for almost three-quarters of total investment.                          particularly in the second half of the year. Notably,
                                Given the gradual strengthening of economic                             periodic episodes of sharp corrections in the
                                fundamentals, the Federal Reserve (Fed) signalled                       Chinese equity markets, with unexpected spillovers
                                the imminent start of interest rate normalisation                       from policy measures and adjustments, combined
                                throughout the year. Finally in December, the Fed                       with heightened concerns over the global growth
                                raised its Federal Funds Rate (FFR) for the first time                  prospects, triggered a sharp increase in global risk
                                since 2006, temporarily removing some uncertainty                       aversion that pushed the CBOE Volatility Index (VIX)
                                from global financial markets.                                          to a four-year high in August. Nevertheless, the
                                                                                                        impact of economic rebalancing efforts and
                                In PR China, growth remained on a moderating                            weaker sentiments on PR China’s overall growth
                                trend in 2015 as the continued rebalancing                              were partly offset by the announcement of
                                                                                                        pro-growth measures during the year, amid
                                      Table 1.1                                                         sustained consumer spending and a continued
                                                                                                        expansion of the services sector.
                                World Economy: Key Economic Indicators
                                                          Real GDP Growth            Inflation          In Europe, growth improved at a modest pace
                                                        (Annual change, %)      (Annual change, %)      during the year due to unresolved structural
                                                          2014       2015e        2014          2015e   constraints. Growth in the UK economy was
                                World Growth              3.4          3.1           -            -     supported mainly by a steady improvement
                                World Trade               3.4          2.6           -            -
                                                                                                        in private consumption. Nonetheless, while
                                                                                                        unemployment fell to its lowest level in almost
                                Advanced                                                                ten years, wage growth remained subdued. On
                                 Economies
                                                                                                        the other hand, investment activity moderated.
                                    United States         2.4          2.4         1.6           0.1    In particular, the recovery in the housing
                                    Japan                 0.0          0.5         2.8           0.8    market slowed following robust growth in the
                                    Euro area             0.9          1.6         0.4           0.0    previous two years. The euro area experienced
                                    United Kingdom        2.9          2.2         1.5           0.0    a more pronounced economic recovery in 2015,
                                Emerging Asia1            6.2          5.8         2.5           1.8    supported by both domestic demand and exports.
                                                                                                        Notably, private consumption rose in all the core
                                Other Advanced
                                                                                                        euro area economies, supported by a gradual
                                 Asian Economies          3.4          2.0         1.6           0.5
                                                                                                        improvement in labour market conditions, low
                                    Korea                 3.3          2.6         1.3           0.7
                                                                                                        oil prices and favourable credit conditions.
                                    Chinese Taipei        3.9          0.7         1.2          -0.3    Nevertheless, the pace of growth remained
                                    Singapore             3.3          2.0         1.0          -0.5    uneven and some smaller euro area economies
                                    Hong Kong SAR         2.6          2.4         4.4           3.0    experienced negative growth. Furthermore,
                                The People's                                                            the region continued to suffer from bouts of
                                 Republic of China        7.3          6.9         2.0           1.4    heightened volatility arising from unresolved
                                ASEAN-4                   4.5          4.6         4.7           3.6    sovereign debt concerns in Greece. In the second
                                    Malaysia              6.0          5.0         3.2           2.1    quarter of the year, investor concerns were
                                    Thailand              0.8          2.8         1.9          -0.9
                                                                                                        reignited by a disagreement between international
                                                                                                        creditors and the ruling Greek government over
                                    Indonesia             5.0          4.8         6.4           6.4
                                                                                                        structural reforms, raising the prospect of a Greek
ANNUAL REPORT 2015
                                                              150
Crude oil prices declined sharply to an average
                                                              100
of USD541 per barrel in 2015 (2014: USD99 per
barrel). Higher production by major oil-producing              50
                                external environment and moderating domestic            requirement ratio by 125 and 250 basis points to
                                economic activity, the overall global policy stance     4.35% and 17.50%, respectively, to help reduce
                                became more accommodative in most regions.              the funding costs for financial institutions, and
                                In the advanced economies, the uneven growth            thereby the financing costs of the corporate
                                momentum between economies resulted in a                sector. Concurrently, the PBoC also continued
                                divergence in the direction of monetary policy.         to undertake financial reforms, including the
                                While the US raised interest rates for the first time   implementation of deposit insurance, the
                                in nine years, the euro area and Japan increased        removal of ceiling rates on deposits and the
                                monetary stimulus through their respective asset        introduction of a more market-oriented exchange
                                purchase programmes and negative interest rates.        rate framework. To support economic growth,
                                In Asia, several economies reduced key policy           Chinese policymakers announced targeted fiscal
                                rates and introduced targeted fiscal measures to        measures during the year. These included tax
                                support growth. Additionally, policymakers in the       reductions on consumer goods and automobiles,
                                region continued to advance structural reforms          preferential tax policies for SMEs, lower
                                to strengthen macroeconomic fundamentals and            restrictions on the property market and additional
                                enhance medium-term growth sustainability.              funding for infrastructure investments.
                                The divergence in monetary policy stance                Policies in Asia were shaped by domestic
                                between the advanced economies became                   concerns amid a more challenging external
                                more apparent in 2015. In the US, supported by          environment, with several central banks in the
                                growing indications of improving labour market          region lowering key policy rates. Given more
                                conditions, the Fed began to communicate                subdued inflationary pressures, Bank Indonesia,
                                its intention to begin normalising monetary             the Bank of Thailand and the Reserve Bank of
                                policy during the year. Nevertheless, the Federal       India reduced their key policy rates by 50, 50
                                Open Market Committee (FOMC) maintained                 and 125 basis points, respectively. Similarly, in
                                its FFR in the first three quarters, highlighting       Singapore, the Monetary Authority of Singapore
                                concerns over the impact of global economic and         reduced the slope of the S$ nominal effective
                                financial developments on growth and inflation.         exchange rate policy band in January and
                                However, with lower financial market volatility         October. Amid moderating domestic demand
                                and improvements in US economic activity in             and weak exports, central banks in Korea and
                                the fourth quarter, the FOMC increased the FFR          Chinese Taipei also lowered their key policy
                                target range by 25 basis points to 0.25 – 0.50%         rates by 50 and 25 basis points, respectively.
                                in December. In contrast, amid subdued inflation,       In contrast, following the Fed’s decision to
                                the European Central Bank (ECB) continued to            increase the FFR, the Hong Kong Monetary
                                implement an asset purchase programme of                Authority increased the Base Rate by 25 basis
                                EUR60 billion per month, which is forecasted to         points in December.
                                remain until March 2017. In addition, the interest
                                rate on the deposit facility was lowered by 10          In addition to monetary easing, a number of
                                basis points to -0.3% towards the end of the year.      Asian economies, including Chinese Taipei,
                                In Japan, the Bank of Japan (BoJ) continued with        Thailand, Indonesia and Korea, announced fiscal
                                its annual asset purchases of JPY80 trillion amid       measures to support domestic economic activity.
                                disinflation concerns. To encourage a decline in        These measures were in the areas of providing
                                long-term interest rates, the BoJ supplemented          financing support for small businesses, higher
                                these purchases by extending the maturity of            public investment and rebates to encourage
                                current Japanese government bond purchases to           purchases of durable consumer goods. To further
ANNUAL REPORT 2015
                                7–12 years (previous: 7–10 years) from January          strengthen macroeconomic fundamentals
                                2016 onwards and increased the purchases of             and enhance medium-term growth prospects,
                                exchange-traded funds and real estate investment        Asian policymakers also continued with the
                                trusts. Across other advanced economies, central        implementation of structural reforms. In
                                banks in Australia, Canada, Denmark, New                particular, policymakers in the region introduced
                                Zealand, Norway and Sweden also reduced key             measures to accelerate infrastructure investment,
                                policy rates following higher downside risks to         deregulate labour markets, improve the ease of
                                inflation and growth.                                   doing business and promote entrepreneurship.
14
                                    Recent Slowdown in Global Trade: Cyclical Bane or Structural Shift?
Chart 1 Chart 2
Global Trade in 2015 Expanded at its Slowest                                                                                        Trade Elasticity Has Been on a Declining Trend in
Pace Since the Crisis                                                                                                               the Recent Decade
Annual change (%)                                                                                Annual change (%)                  Trade elasticity (ratio)
15                                                                                                                            10    3.0
                                                                                                                              8
10
                                                                                                                              6     2.5
                                                                                                                                                1990-2000
                                                                                                                              4                 Average: 2.1
5
                                                                                                                                    2.0
                                                                                                                              2
0                                                                                                                             0
                                                                                                                                    1.5
                                                                                                                              -2                                                                                2002-07
                                                                                                                                                      1983-89
-5                                                                                                                                                    Average: 1.4                                              Average: 1.6
                                                                                                                              -4
                                                                                                                                    1.0
                                                                                                                              -6                                                                                                         2011-15
-10                                                                                                                                                                                                                                      Average: 1.0
                                                                                                                              -8    0.5
-15 -10
                                                                                                                                    0.0
      1983
             1985
                    1987
                           1989
                                  1991
                                         1993
                                                1995
                                                       1997
                                                              1999
                                                                     2001
                                                                            2003
                                                                                   2005
                                                                                          2007
                                                                                                 2009
                                                                                                        2011
                                                                                                               2013
                                                                                                                      2015e
1983
1985
1987
1989
1991
1993
1995
1997
1999
2001
2003
2005
2007
2009
2011
2013
                                                                                                                                                                                                                                                        2015e
       World trade volume                                     World real GDP (RHS)
e Estimates e Estimates
Source: International Monetary Fund (IMF) Source: International Monetary Fund (IMF)
In the pre-GFC period, the advanced economies collectively accounted for almost two-thirds of
total global imports (Chart 3) and almost 60% of global import growth. However, the sharp growth
contraction and the impairment of the financial systems experienced by these economies during the
crisis resulted in a protracted compression in demand, which constrained the pace of expansion in
                                                                                                                                                                                                                                                                ANNUAL REPORT 2015
In particular, the weak recovery in investment growth has major implications for global trade activity
given that investment goods typically have higher import content relative to consumption goods
(Constantinescu et al., 2015). In the advanced economies, while consumer spending has been on
a recovering trend, investment growth has remained weak. In Europe, domestic demand has been
further weakened by the implementation of fiscal austerity measures and weak investor sentiments
amid prolonged concerns surrounding the European sovereign debt crisis.
                                                                                                                                                                                                                                                                15
                                       Chart 3                                                                    Chart 4
ECONOMIC DEVELOPMENTS IN 2015
                                Pre-GFC, Advanced Regions Had a Higher Share                              Post-GFC Import Demand From the Advanced
                                of Global Trade                                                           Economies Has Remained Weak
                                % share                                                                   Contribution to growth (percentage points)
                                100       3                   3                         4                 25
                                          3                   3                         3
                                 90             7                        7                      9         20
                                 80            18                        16                    15         15
                                 70
                                 60                                                                       10
                                               28                        28
                                 50                                                            33          5
                                 40                                                                        0
                                 30
                                                                                                          -5
                                 20            42                        42                    36
                                 10                                                                       -10
                                  0                                                                       -15
                                               2005
2007
                                                                                               2014
                                                                                                          -20
                                                                                                          -25
2000
2001
2002
2003
2004
2005
2006
2007
2008
2009
2010
2011
2012
2013
                                                                                                                                                                                                                    2014
                                      Europe          Asia                    North America
                                      Others      Commonwealth of             South and Central America         Europe               Asia            North America                    Others            World (annual
                                                  Independent States                                                                                                                                    change, %)
                                Source: World Trade Organization (WTO)                                    Source: World Trade Organization (WTO)
                                It should be highlighted that despite persistent demand weakness in the advanced economies, global
                                trade activity in the post-GFC period did not experience a collapse. A key supporting factor of global
                                trade growth was the recovery in trade in the emerging economies (Marinov and Marinova, 2013),
                                amid a strong growth rebound in these economies in the period immediately after the crisis. Between
                                2010 - 2011, the emerging economies accounted for almost four-fifths of global GDP growth.
                                More recently, however, global trade is facing stronger headwinds. In 2015, several large emerging
                                economies experienced a moderation in growth due to a confluence of factors. This included the
                                significant decline in commodity prices, on-going structural reform measures and country-specific
                                factors, which weighed on both the domestic and external demand of these economies. Heightened
                                uncertainty during the year, arising from policy shifts and financial market adjustments in several major
                                economies also adversely affected global sentiments, contributing to a further weakness in global
                                trade, which continued to grow but only at a modest pace.
                                Beyond these cyclical weaknesses, there are also structural factors at play, in particular the diminishing
                                impact of major catalytic factors that were important drivers of the high global trade growth observed
                                in the 1990s and early 2000s. First, the proliferation of global value chains (GVCs) catalysed a
                                rapid increase in global trade of intermediate goods (WTO, 2011). This was in part spurred by the
                                information and communication technology (ICT) revolution, which greatly reduced the cost of
                                managing, transacting and coordinating production across borders (WTO, 2011). As a result, firms
                                were better able to leverage on the comparative advantages of different countries through outsourcing
                                and dispersing the different stages of production internationally.
                                Second, major trade liberalisation breakthroughs, including the formation of the European Union (EU)1
                                and the World Trade Organisation (WTO) resulted in the lowering of tariffs and regulatory barriers.
                                This provided further impetus to the expansion of GVCs. For Europe, the more liberalised trade
                                environment between the EU members has contributed to a tripling of intra-European trade from
ANNUAL REPORT 2015
                                Third, the accession of PR China into the WTO in 2001 marked a major shift in the global trade
                                landscape. The opening up of the Chinese economy facilitated a rapid expansion of its manufacturing
                                1
                                    The European Union (EU) was formed in 1992 upon the signing of the Maastricht Treaty. To date, the EU has 28 member
                                    states with Croatia being the latest addition to the union in 2013.
16
sector amid large inflows of foreign direct investment. The offshoring phenomenon accelerated as
firms became better at maximising the economies of scale offered by the GVCs. This was further
It is hypothesised that the catalytic effects of these factors may have peaked, resulting in a lower
elasticity of global trade with respect to global growth. Of late, there are signs of an emerging trend
towards more onshoring or re-shoring of manufacturing activity. Anecdotal evidence suggests that
multi-national corporations are increasingly relocating production back to the US and Europe2.
Asia’s Experience
In the past few decades, given its long history of global orientation and trade openness, Asia has
benefitted tremendously from the rapid expansion of international trade activity. The diversity of
resources in the region enabled each economy to specialise at different stages of both regional and
global production networks3. This inherent strength of the region was further reinforced by the close
geographical proximity of Asian economies to fast-growing PR China amid continued deepening of
trade linkages with the Chinese economy (Chart 5). Intra-regional trade rose from 32% of total trade
in 1990 to 43% in 2007, while Asia’s merchandise trade grew at an annual average rate of 8.9% in
1990 - 2000 and 16.3% in 2002 - 2007.
As with the advanced economies, trade activity in Asia was adversely affected during the GFC.
Nevertheless, the Asian economies experienced a swift rebound in demand in the few years following
the GFC. The strong economic recovery could be attributed in part to increasing trade within the Asian
region and between Asia and the other emerging economies that also registered favourable growth
following the crisis. For example, Asia’s trade with Latin America, the Middle East and Africa increased
from 12% in 2007 to 15% of its total trade in 2014. Nevertheless, most recently, a confluence of
headwinds, including the persistent demand weakness in the advanced economies, as well as structural
factors, such as maturing GVCs, have contributed to a continued moderation in trade growth in the region.
Furthermore, PR China’s economic transition is posing an additional challenge for Asian economies, in
particular for the exporters of raw materials and intermediate goods. The slowdown in PR China’s final
demand will affect the export performance of its trade partners. Additionally, PR China’s structural
transformation process amid increasingly competitive domestic firms have led to import substitution
of some of the parts and components that are usually sourced from other economies, including
from those in Asia (Kee and Tang, 2015). This is evidenced by the moderation in PR China’s imports of
intermediate goods from a pre-crisis average growth of 26.5% to just 3.5% from 2012 to 2014 (Chart 6).
Asia’s Prospects
With the effect of past trends diminishing, the future direction of global trade will depend on the
interplay between the various ongoing and emerging structural shifts in the global economy and trade
landscape. These include PR China’s economic transition towards a more consumption-based growth,
a rising middle income population in the emerging economies and new multilateral trade agreements.
To successfully adapt to this fast evolving environment requires agility. This in turns necessitates economies to
have strong institutions, sufficient policy flexibility as well as diversified sources of trade and growth.
                                                                                                                                   ANNUAL REPORT 2015
Following the Asian Financial Crisis, policymakers in Asia undertook wide-ranging structural reforms
to strengthen economic resilience and improve their growth prospects. In particular, policymakers
2
    A BCG survey of senior US-based manufacturing executives showed that more manufacturers are planning to add production
    capacity in the US, compared to any other country. The share of manufacturers that are in the process of reshoring producton
    back to the US is also increasing (Boston Consulting Group, 2015).
3
    The varying stages of development among the Asian nations enable each of them to take advantage of its distinctiveness to
    develop a supportive ecosystem, as explained by the ``flying geese model” (Kojima, 2000).
                                                                                                                                   17
                                     Chart 5                                                                                      Chart 6
ECONOMIC DEVELOPMENTS IN 2015
Malaysia
Singapore
Korea
Thailand
                                                                                                              Indonesia
                                       Hong Kong
                                          SAR
                                                                                                                          -10
                                      2005         2014
                                                                                                                          -20
                                Note: 2014 final demand for the region estimated based on 2011 figures available
1999
2000
2001
2002
2003
2004
2005
2006
2007
2008
2009
2010
2011
2012
2013
                                                                                                                                                                                                                                         2014
                                      on OECD TiVA
                                Source: OECD Trade in Value Added (TiVA) - October 2015 database and
                                        Bank Negara Malaysia estimates                                                    Source: UN COMTRADE
                                embarked on efforts to develop a vibrant manufacturing base, to move up the value chain and
                                to improve efficiency and competitiveness. At the same time, measures were also implemented
                                to strengthen domestic demand in the region, including increasing labour market flexibility and
                                enhancing social safety nets.
                                Conclusion
                                This article puts forth cyclical and structural factors that have caused the global trade growth and the
                                intensity of trade to decline in recent years. At this point, with the global economy still undergoing
                                some critical transitions, it is difficult to conclude whether these trends in global trade will continue.
                                Nevertheless, it is imperative for economies to continuously embark on policy initiatives geared
                                towards enhancing their competitiveness, in order to benefit from the more globalised world and to
                                position the economy to confront the increasingly challenging global environment.
                                References
                                Boston Consulting Group. (2015). `U.S. Is Now the Preferred Location for New Factory Capacity to
                                Serve U.S. Market as Interest in Reshoring Stays Strong´. Accessed on 16 February 2016 at http://www.
                                bcg.com/news/press/10december2015-2015-manufacturing-survey.aspx
                                Constantinescu, C., Mattoo, A. and Ruta, M. (2015). `The Global Trade Slowdown: Cyclical or
                                Structural?´ IMF Working Paper, No. 15/6. International Monetary Fund, Washington D.C.
                                Kee, H.L., and Tang H. (2015). `Domestic Value Added in Exports: Theory and Firm Evidence from
                                China´. Policy Research Working Paper WPS 7491. The World Bank Group, Washington, D.C.
                                Kojima, K. (2000). `The ``Flying Geese´´ Model of Asian Economic Development: Origin, Theoretical
                                Extensions, and Regional Policy Implications´. Journal of Asian Economics 11 (2000) 375–40.
ANNUAL REPORT 2015
                                Marinov, M. and Marinova, S. (2013). `The Global Crisis and the World: The Cases of Emerging and
                                Developed Economies´. Emerging Economies and Firms in the Global Crisis. Palgrave Macmillan UK.
                                World Trade Organisation (2011). `Trade Patterns and Global Value Chains in East Asia: From Trade in
                                Goods to Trade in Tasks´. WTO, Geneva, Switzerland.
18
       Chart 1.3                                                                  concerns about the rising cost of living and weak
                                                                                  sentiments, household spending was supported
The range of policy measures employed during                                      Private investment growth was slower as capital
the year underscored the challenge faced by                                       expenditure was affected by the moderation
policymakers in striking a balance between                                        in domestic and global growth, and cautious
addressing short-term risks and long-term growth                                  business sentiments. While the low oil prices
challenges. Policy formulation and implementation                                 affected upstream mining investment, the continued
were further complicated by volatile capital flows                                progress of ongoing and new investment projects in
and pressures in the foreign exchange markets.                                    the services and manufacturing sectors, especially in
The fact that policy space in many countries was                                  the export-oriented industries, provided support to
more constrained following the strong measures                                    the overall investment performance.
rolled out in the immediate aftermath of the
global financial crisis in 2008-2009 also added                                   Despite the challenging conditions, the public sector
to some uncertainty in the financial markets.                                     continued to provide support to growth while
Combined with the on-going imbalances in many                                     remaining committed to the steady reduction in fiscal
major economies, the operating environment in                                     deficit. Measures by the Government to freeze new
2015 remained challenging, and this is likely to                                  hiring and cut costs to reduce discretionary spending
weigh on prospects for 2016.                                                      contributed to the sustained growth in public
                                                                                  consumption in 2015. Public investment improved
THE MALAYSIAN ECONOMY                                                             to register a smaller contraction because of higher
                                                                                  capital spending by both the public corporations and
Overview                                                                          the Federal Government. Growth was underpinned
Despite the challenging economic environment                                      by ongoing as well as new projects.
in 2015, the Malaysian economy grew by 5.0%
(2014: 6.0%), supported by the continued                                          On the supply side, all major economic sectors
expansion of domestic demand. Growth of                                           registered more moderate growth, with the exception
domestic demand was stronger during the                                           of the mining sector. The moderation reflected the
early part of the year, partly reflecting the                                     slower expansion in industries related to domestic
frontloading of consumption spending prior to                                     demand. However, export-oriented manufacturing
the implementation of the Goods and Services                                      and trade-related services industries benefited from
                                                                                                                                          ANNUAL REPORT 2015
Tax (GST) in April 2015. In the second half of the                                the modest improvement in external trade, especially
year, as growth in domestic demand moderated, a                                   with the major advanced economies.
modest improvement in external demand provided
additional impetus to economic growth.                                            The external sector remained resilient in 2015.
                                                                                  In the first half of the year, the external trade
Domestic demand was primarily driven by the                                       performance was largely weighed down by the
private sector. Private consumption continued to                                  decline in commodity prices and the sluggish
expand, albeit at a more moderate pace. Despite                                   demand for commodities and commodity-related
                                                                                                                                          19
                                    Table 1.2
ECONOMIC DEVELOPMENTS IN 2015
                                2
                                  Exclude stocks
                                3
                                  All assets and liabilities in foreign currencies have been revalued into ringgit at rates of exchange ruling on the balance sheet date and the gain/loss has
                                  been reflected accordingly in the Bank’s account
                                4
                                  Effective 2011, the Consumer Price Index has been revised to the new base year 2010=100, from 2005=100 previously
                                5
                                  Effective 2015, the Producer Price Index has been revised to the new base year 2010=100, from 2005=100 previously
                                6
                                  Based on average USD exchange rate for the period of January-February 2016
                                p Preliminary
                                f Forecast
                                Note: Numbers may not necessarily add up due to rounding
                                Source: Department of Statistics, Malaysia and Bank Negara Malaysia
20
     Table 1.3
EXTERNAL DEBT 1
                                                          2015p    2014    2015p     2014    2015p                                    2015p      2014 2015p 2014 2015p
                                                          % of    Annual change      Contribution to
                                                          GDP         (%)             growth (ppt)                                     % of     Annual change Contribution to
                                Domestic Demand1          91.6      5.9       5.1     5.4      4.6                                     GDP          (%)        growth (ppt)1
                                    Private sector                                                         Services                     53.5      6.5    5.1      3.5     2.8
                                                          69.2      7.9       6.1     5.3      4.2
                                     expenditure
                                                                                                           Manufacturing                23.0      6.2    4.9      1.4     1.1
                                       Consumption        52.4      7.0       6.0     3.6      3.1
                                       Investment         16.9     11.0       6.4     1.8      1.1         Mining and quarrying          8.9      3.3    4.7      0.3     0.4
                                                                                                           Agriculture                   8.8      2.1    1.0      0.2     0.1
                                    Public sector
                                                          22.4      0.4       2.1     0.1      0.5
                                     expenditure                                                           Construction                  4.4     11.8    8.2      0.5     0.3
                                       Consumption        13.5      4.4       4.3     0.6      0.6         Real Gross Domestic
                                       Investment          8.9      -4.7     -1.0    -0.5     -0.1           Product (GDP)     100.01             6.0    5.0      6.0     5.0
                                    Gross Fixed Capital                                                    1
                                                                                                             Figures may not necessarily add up due to rounding and exclusion
                                    Formation             25.8      4.8       3.7     1.3      1.0
                                                                                                             of import duties component
                                Change in Stocks                                     -0.6      0.6         p Preliminary
                                                                                                           Source: Department of Statistics, Malaysia
                                Net Exports of
                                 Goods and Services        8.6     12.8      -3.7     1.1     -0.3
                                       Exports            73.0      5.1       0.7     3.9      0.5
                                                                                                           countries’ experiences in implementing GST,
                                       Imports            64.4      4.2       1.3     2.8      0.8
                                                                                                           households frontloaded purchases prior to the
                                Real Gross Domestic
                                 Product (GDP)            100.0     6.0      5.0      6.0      5.0         commencement of the tax in the first quarter
                                                                                                           of 2015, particularly in the transport, food and
                                1
                                  Excluding stocks                                                         beverages, and communication categories.
                                p Preliminary
                                                                                                           From the second quarter onwards, private
                                Note: Figures may not necessarily add up due to rounding                   consumption growth moderated as households
                                Source: Department of Statistics, Malaysia
                                                                                                           adjusted to the new tax. Upward adjustments
                                                                                                           to administered prices, including cigarettes, toll
                                manufactured products. In the second half                                  rates and public transport fares also contributed
                                of the year, external trade improved due to a                              to the moderation in spending. In addition,
                                rebound in export growth arising from higher                               weaker sentiments due to greater uncertainty
                                demand for manufactured products and                                       in the global and domestic environment, and
                                commodities, and the positive valuation effect                             the ringgit depreciation, further weighed down
                                from the ringgit depreciation. For the whole                               private consumption growth during the second
                                year, the trade surplus was higher, supported by                           half of the year.
                                both manufactured and commodity products.
                                                                                                       1
                                   Impact of Goods and Services Tax on Private Consumption in Malaysia
Chart 1 Chart 2
Surge in Car Sales in March 2015 was Followed by                                                                      Higher Growth of Index of Retail Trade and Its
a Decline in April 2015                                                                                               Sub-component in 1Q 2015, before Moderating
                                                                                                                      in 2Q-3Q 2015
Annual change (%)
                                               Pre-GST          Post-GST                                              Annual change (%)
20                                                                                                                                                                                          Pre-GST Post-GST
                                                      14.0                                                            20
10                                                                                                                    15
                 2007-2015: 5.4%
    0                                                                                                                 10
                                                                                                                           2009 - 2015: 6.2%
                                                                                                                       5
-10
                                                                                                                       0
-20
                                                                                                                      -5
                                                                                                                            1Q-13
2Q-13
3Q-13
4Q-13
1Q-14
2Q-14
3Q-14
1Q-15
2Q-15
                                                                                                                                                                                                               3Q-15
                                                                                                                                                                                    4Q-14
-30
                                                                Apr-15
                                                                                           Jul-15
                                                       Mar-15
                                    Jan-15
                                                                                  Jun-15
        Oct-14
Feb-15
                                                                                                             Sep-15
                          Dec-14
                 Nov-14
                                                                                                    Aug-15
                                                                         May-15
The surge in household spending was also reflected in other consumption indicators. In February -
March 2015, credit card spending increased significantly by 21.8%, while narrow money (M1) rose
by 9% (Chart 3). On aggregate, private consumption expanded strongly by 8.8% in the first quarter
of 2015, significantly higher than its long-run average growth of 6.7% (1990-2014). This was similar
to the experiences in Japan and Singapore, whereby the frontloading of purchases prior to the GST
implementation boosted private consumption growth above its long-term average by two to four
                                                                                                                                                                                                                       ANNUAL REPORT 2015
percentage points.
As expected, the surge in consumption expenditure during the period leading up to the GST
introduction was only temporary. As with the experiences of other economies2 that introduced a
1
    GST replaces the Sales and Services Tax in Malaysia to enhance the efficiency and effectiveness of the existing taxation system.
2
    Following the introduction of GST, Australia (2000) and New Zealand (1986), for example, experienced a temporary boost in
    private consumption pre-GST implementation followed by a decline in retail sales during the quarter of GST implementation.
                                                                                                                                                                                                                       23
                                         Chart 3                                                                                                                     Chart 4
ECONOMIC DEVELOPMENTS IN 2015
Nov-14
Dec-14
Jan-15
Feb-15
Mar-15
Apr -15
May-15
Jun-15
Jul-15
Aug -15
                                                                                                                                                Sep -15
                                                                                                                                                               2
1Q-14
2Q-14
3Q-14
4Q-14
1Q-15
2Q-15
3Q-15
                                                                                                                                                                                                                                         4Q-15
                                         Credit card spend ing                         M1 (RHS)
                                new consumption tax, private consumption growth in Malaysia moderated during the quarter of
                                implementation (Chart 4; 2Q 2015: 6.4%). Households adjusted to the rise in prices by changing their
                                consumption patterns, particularly by cutting down on discretionary spending. Retail trade experienced
                                a broad-based moderation across most consumer goods, particularly household equipment, food,
                                beverages and tobacco. Credit card spending and M1 also registered lower growth rates of 0.6% and
                                8.4%, respectively, during April – May 2015. Similarly, after the accelerated growth of 14% in March 2015,
                                passenger car sales contracted by 10.8% in 2Q 2015 compared with the same period in the previous year.
                                In the case of Malaysia, the period after the introduction of the GST saw new shocks that complicated
                                the adjustment process. Most of these shocks were exogenous, particularly the decline in commodity
                                prices, weakening of the ringgit, and were precipitated by external events unforeseen during the
                                period prior to the implementation of the GST. These factors were compounded by several factors
                                including, the upward revision of administered prices in the period after the implementation of the
                                GST, culminating in an increase in the cost of living and a steady decline in consumer confidence. As
                                expected, household spending moderated in second quarter of 2015 to 6.4% and reached a trough of
                                4.1% in the third quarter, before recovering to 4.9% in the fourth quarter of the year.
ANNUAL REPORT 2015
                                It should be noted that when the Government first announced the planned implementation of GST
                                back in October 2013, it also proposed a package of measures designed to help households and
                                businesses to cope with the transition. For households, these included the reduction of individual
                                income tax rates by one to three percentage points and the disbursement of higher cash transfers to
                                low- and middle-income households. Additionally, the exclusion of essential goods and services from
                                3
                                        In Canada, when the GST was introduced during an economic recession in January 1991, private consumption growth
                                        registered three consecutive quarters of contraction before recovering.
24
the GST helped to alleviate some of the burden of adjustments faced by households, particularly the
lower income groups. Subsequently, in October 2015, the Government proposed for an increase in
Conclusion
The introduction of GST in Malaysia led to a temporary change in household spending patterns, and
the adjustment process is still continuing at the time of writing. As expected, consumption spending
was frontloaded in anticipation of higher prices after the introduction of the GST. The post-GST period
has seen a downward adjustment in consumer spending. This period of adjustment could be more
prolonged than earlier anticipated, following additional exogenous shocks to the economy in the form
of a more subdued global growth environment, a fall in commodity prices and a depreciation of the
ringgit exchange rate. These shocks had cumulatively resulted in increased uncertainty and affected
business and household sentiments. Nevertheless, looking ahead, the impact of GST is expected to
decline, as continued income growth and stable job market conditions provide fundamental support
to household spending. Supporting measures by the Government would also provide some impetus
to consumption activity. It is envisaged that private consumption will continue to grow in the near to
medium term, albeit at a more moderate rate compared to the average growth of 7.1% for the past
five years.
References
Reserve Bank of Australia. (2000). `Box A: Transitional Effects on Demand of the GST: the Canadian,
Japanese and New Zealand Experience´. Semi-Annual Statement on Monetary Policy.
The Treasury of the Australian Government. (2003). `Preliminary assessment of the impact of The New
Tax System´. Economic Roundup Autumn 2003.
Statistics New Zealand. (2010). `How GST Affected Retail Sales in the 1980s´.
                                The labour market remained broadly stable in 2015, as the continued expansion across all economic
                                sectors sustained the demand for labour. The unemployment rate edged higher to 3.2% (2014: 2.9%),
                                as more cautious business sentiments led to softer employment prospects towards the second half of the
                                year (Table 1). The labour force participation rate was stable at 67.6% (2014: 67.5%).
                                          Table 1
                                Selected Labour Market Indicators
                                                                                                   2011            2012                   2013               2014                    2015p
                                    Employment (‘000 persons)                                     12,284          12,723                 13,210             13,532                   13,759
                                    Labour force (‘000 persons)                                   12,676          13,120                 13,635             13,932                   14,215
                                    Unemployment rate (% of labour force)                             3.1             3.0                    3.1                2.9                      3.2
                                    Layoffs (persons)                                             12,689          20,031                 14,465             12,406                  21,7131
                                    Foreign workers (‘000 persons)                                 1,573           1,572                  2,250              2,073                    2,135
                                p Preliminary
                                1
                                  Constitutes workers affected by retrenchments and voluntary separation scheme (VSS) offerings in the January-October 2015 period and
                                  including layoffs arising from the national airline’s corporate restructuring
Source: Department of Statistics, Malaysia; Ministry of Human Resources; Ministry of Home Affairs; and Bank Negara Malaysia estimates
                                The number of workers laid off totalled 21,713 persons, or approximately 0.2% of total employment.
                                Most of the layoffs (retrenchments and voluntary separation scheme (VSS) offerings) in 2015 were mainly
                                attributable to the decline in global oil prices and reorientation of multinational firms’ business strategies.
                                These layoffs were conducted on a global and regional scale, particularly among oil and gas companies and
                                manufacturers in the E&E sub-sector. Among domestic companies, the national airline implemented a large
                                corporate transformation exercise, while financial services firms took steps to enhance their operational
                                efficiency, in line with global trends in the financial services industry.
                                Total employment continued to expand to 13.8 million workers (2014: 13.5 million workers). The net
                                addition of 226,000 jobs came mainly from the services sector (223,000 jobs), particularly in the distributive
                                trade, education, and human health and social work sub-sectors. The construction sector registered net
                                employment gains of 54,000 jobs, while employment growth in the oil and gas sector remained steady (net
                                gain of 19,000 jobs), despite large scale-backs during the year (Chart 1). In terms of skill levels, employment
                                gains were mainly concentrated in the high-skilled occupations, reflecting a continued shift of the Malaysian
                                economy towards becoming a higher value-added economy (Chart 2). However, demand for low-value
Chart 1 Chart 2
                                Net Employment Gains1 by Sectors, 2013-2015                                       Employment Growth by Skill Levels, 2011-2015
                                '000 jobs                                                                         Cumulative increase in employment, since 1Q 2011
                                                                                                  333 314         ('000 persons)
                                350
                                                                                                            223
                                                                                                                  2,000
                                200
150 1,500
                                100                                               80                              1,000
                                                      51                                     54
                                    50
                                                                  6         19                                      500
                                     0
                                                                       -3
ANNUAL REPORT 2015
                                                -13                                    -18                            0
                                -50                -44
                                           Manufacturing          Mining         Construction       Services       -500
                                                                                                                            1Q 2Q 3Q 4Q 1Q 2Q 3Q 4Q 1Q 2Q 3Q 4Q 1Q 2Q 3Q 4Q 1Q 2Q 3Q 4Q
                                         2013              2014       2015p
                                                                                                                                  2011       2012          2013            2014           2015p
                                p Preliminary
                                                                                                                       Low-skilled         Mid-skilled      High-skilled          Total
                                1
                                    Net employment gains are the difference between employment level in a
                                    given year compared to the previous year                                      p Preliminary
                                Source: Department of Statistics, Malaysia and Bank Negara Malaysia estimates     Source: Department of Statistics, Malaysia and Bank Negara Malaysia estimates
26
  production and low-skilled workers remained high, as evidenced by the number of registered
  Labour productivity, as measured by real value-added per worker, grew by 3.2% (2014: 3.5%),
  driven mainly by productivity increases in the manufacturing sector (7.0%; 2014: 3.8%). Labour
  productivity growth in the construction and services sectors, however, were modest at 3.6% and
  2.4%, respectively (2014: 13.4% and 2.5%).
was stable at 5.9% (2014: 4.7%), underpinned            and ongoing projects in the manufacturing and
by strong wage growth in the export-oriented            services sectors.
sectors, while the growth of wages in the
domestic-oriented sectors remained modest.
                                                        Overall investment activity
Public consumption recorded a sustained growth
of 4.3% in 2015 (2014: 4.4%). Spending on               moderated due to slower growth in
emoluments was lower, partly attributable to
the freezing of new hiring for selected positions
                                                        private sector capital expenditure
and the absence of bonus payments to civil
servants. Continued efforts to rationalise and
optimise Government expenditure resulted in lower       Investment in the manufacturing sector (24%
discretionary spending, particularly on supply of       share of private investment) expanded further,
other materials and rental payments. Nevertheless,      supported mainly by the export-oriented industries
total spending on supplies and services was higher      which benefited from the continued demand
during the year, supported by maintenance and           of manufactured exports. The manufacturing
minor repair work, and communication and utilities.     investment approved by MIDA in 2015 remained
                                                        high at RM74.7 billion (2014: RM71.9 billion),
Gross fixed capital formation (GFCF)                    with projects mainly in the petrochemical, natural
expanded by 3.7% in 2015 (2014: 4.8%), due              gas and E&E sub-sectors.
mainly to slower private sector investment. The
environment of low and volatile oil prices had          In the services sector (51% share of private
affected investment in the upstream mining              investment), investment was underpinned by
sector, resulting in oil and gas firms revising their   capital expenditure in the distributive trade,
capital expenditure plans during the year. By type      transport and storage, and tourism-related
of assets, investment in structures registered a        sub-sectors. This was reflected in the rapid
lower growth of 6.9% (2014: 9.9%) mainly due            pace of development within the regional
to the slower pace of construction activity in both     corridors, such as the Iskandar region (i.e. oil
the residential and non-residential sub-sectors.        and gas terminals, and healthcare services).
Growth in machinery and equipment expenditure           Investment in telecommunication services was
remained in contraction (-0.3%; 2014: -0.5%)            supported by the ongoing network expansion
with spending being mainly on transport, office         and infrastructure upgrades nationwide for
and telecommunication equipment.                        the rollout of 4G/LTE networks by major
                                                        telecommunication service providers. Dwellings
Private investment registered a slower growth of        investment, however, registered a modest
6.4% (2014: 11.0%), weighed down partly by the          expansion in line with the slower residential
                                                        construction activity.
                                                                                                                ANNUAL REPORT 2015
                                Introduction
                                Over the past decade, Malaysia has successfully attracted large amounts of investment into the
                                export-oriented industries, producing not only a wide range of products but also integrating Malaysia
                                into the global supply chain. Investment in the export sector has been a key success factor in ensuring
                                that Malaysia’s manufactured exports remain competitive in a changing global environment and that
                                the Malaysian economy progressively moves towards high value-added activity. This article looks at the
                                major trends of investments in the export-oriented industries in Malaysia.
                                Chart 1 provides the export orientation of different sectors within the economy. Broadly, the
                                agriculture, mining and manufacturing sectors are mostly export-oriented, while the construction and
                                services sectors are largely domestic-oriented. Within the manufacturing sector, the export-oriented
                                industries include those involved in the production of electronic and electrical (E&E), petroleum,
                                chemical, rubber, plastic, fabricated metal, iron and steel products. In the services sector, whilst most
                                of the economic activity is related to supporting domestic activity, the logistics, information and
                                communication, as well as distributive trade industries (particularly wholesale trade), also cater to the
                                export sector.
Chart 1
Exports Domestic
                                                     Primary-related products
                                                                    2
                                                                                                                69%
0% 50% 100%
                                Note:
                                1
                                  Calculated based on the proportion of an industry’s value-added that is exported using the 2010 Input-Output table. If more than 50% of an industry’s
                                  value-added is exported, it is classified as export-oriented; otherwise it is classified as domestic-oriented.
                                2
                                  Primary-related products refer to textiles, wood, petroleum, chemical, rubber and plastic products, while construction-related products refer to non-metallic,
                                  basic metal and fabricated metal products.
In the services sector, investments in the export-oriented industries represent 35% of services
investment and 20% of total GFCF. These investments include, among others, capital spending for the
expansion of port facilities, upgrading of logistics equipment and warehousing facilities, as well as the
construction of oil and gas storage terminals.
Chart 2
While the growth of investment in the mining sector has been moderating, investments in the export-
oriented manufacturing and services industries have recorded strong growth, averaging above 8%
from 2011 to 2014 (see Table 1). For the manufacturing sector, investment was driven mainly by
capital expenditure in the primary-related and E&E sub-sectors (2011-2014 average growth: 13.6%
and 5.6%, respectively). During the same period, investment in the export-oriented services sector was
                                                Table 1
                                          Growth of GFCF in the Manufacturing and
                                          Services Sectors
                                                                                                 Average growth
                                                    Sectors and sub-sectors
                                                                                                  (2011-2014)
                                          Manufacturing                                                  8.3
                                            E&E-related                                                  5.6
                                            Primary-related                                             13.6
                                            Construction-related                                        -1.8
                                                                                                                                                     ANNUAL REPORT 2015
                                          Services                                                       8.0
                                            Wholesale and retail trade                                   9.5
                                            Transport and communication                                 11.1
                                          Overall GFCF                                                   9.6
                                          Source: Department of Statistics, Malaysia and Bank Negara Malaysia
                                                  estimates
                                                                                                                                                     29
                                                                                                                                                     3
                                undertaken mainly by the transport and communications sub-sectors (2011-2014 average growth:
                                11.1%) to build new infrastructure and upgrade existing equipment.
ECONOMIC DEVELOPMENTS IN 2015
Chart 3
                                Similarly, in the services sector, further progress has been made in successfully attracting investments
                                to logistic services and in establishing Malaysia as a global and regional operations hub for large
                                multinational corporations (MNCs). In 2014, 234 global corporations were approved to set up
                                operation in Malaysia, with another 224 approvals in 20151.
Iskandar region has attracted investments in E&E manufacturing, as well as in oil and gas storage facilities.
                                Conclusion
                                Despite the challenges faced by the global economy, ongoing multi-year investments in the
                                export-oriented industries are expected to continue. In particular, investment by industries in the
                                advanced manufacturing and modern services sectors, including manufacturers of automotive sensors
                                1
                                    Source: Malaysian Investment Development Authority (MIDA)
30
 4
     Table 2
                                                                                 • Metal products
  East Coast Economic Region (ECER)              Heavy industry and automotive
                                                                                 • Automotive components
                                                                                 • Petrochemical products
  Iskandar Malaysia                              Downstream oil and gas
                                                                                 • Oil and gas refinery
and medical devices, and advanced logistic services, are expected to progress further. These industries
would also benefit from the modest growth in the global economy. This sustained investment will
enable the manufacturing and services sectors to move up higher on the value chain and ensure that
Malaysia’s exports remain globally competitive.
                                On the supply side, all major economic sectors registered a more moderate pace of growth in 2015,
                                attributable mainly to the slower domestic demand. However, growth in external demand, particularly from
                                the advanced economies, had benefited the export-oriented manufacturing industries and trade-related
                                services sub-sectors.
                                The construction sector grew at a moderate pace in 2015 (8.2%; 2014: 11.8%), due mainly to the
                                slower growth in the residential sub-sector. Construction activity in the residential sub-sector was
                                affected by fewer property launches during the year. Nonetheless, growth in the civil engineering
                                sub-sector picked up, reflecting the progress of existing infrastructure projects as well as the
                                commencement of a large petrochemical project in Johor. Growth in the construction sector was also
                                supported by the non-residential sub-sector, which was underpinned by projects in both the industrial
                                and commercial property segments.
                                In the agriculture sector, growth moderated to 1.0% (2014: 2.1%) due to lower crude palm oil (CPO)
ANNUAL REPORT 2015
                                output following unfavourable weather conditions. This includes excessive rains in the first quarter
                                of 2015, causing floods in the east coast of Peninsular Malaysia, and the strong haze and El Nino
                                weather phenomenon in the second half of the year, which led to lower yields.
                                The mining sector recorded a higher growth of 4.7% (2014: 3.3%) as a result of higher production
                                of crude oil (654,200 barrels per day, the highest since 2010). This was driven by new output from
                                the large Gumusut Kakap deepwater oilfield at offshore Sabah, which commenced operations in the
                                fourth quarter of 2014.
32
                    Assessing Demand-Supply Conditions in the Malaysian Property Market
Chart 1 Chart 2
Widening Housing Supply Shortfall over the                                                …as New Housing Supply was Unable to Match
past Decade…                                                                             Increase in Number of Households over the
                                                                                         past Five Years
Million                                                                                 '000
                                                                        7.4
8                                                                                       200
                           Number of households                                                                       167                166
      5.7
                                                                                        150
6                                                                                                         117
                                                                        4.9
      3.7                                                                               100                                                          80
4
                               Housing stock                                                                         50
                                                                                         50
2
                                                                                           0
                                                                                                         2005-2008 avg.                  2011-2015 avg.
0                                                                                        -50
                                                                                                                                               -86
-2 -100
      -2.1                 Housing supply gap*                          -2.5                   Net increase in number of households   Completion of new houses
-4
     2005 2006 2007 2008 2009 2010 2011 2012 2013 2014 2015                                    Housing supply gap*
*Housing supply gap = Housing stock – Outstanding number of households OR Completion of new houses – Net increase in number of households
A negative figure suggests a shortfall in housing supply
Source: National Property Information Centre, CEIC and Bank Negara Malaysia estimates
                                                                                                                                                                 ANNUAL REPORT 2015
1
     Key states refer to the major employment centres in Malaysia.
2
     The estimate assumes that all households are looking to own and are able to afford a house. Currently, there are about
     two houses for every three households, suggesting some accommodation sharing among households, which underpins the
     demand for house ownership.
3
     This refers to the increase in the number of households at one point in time versus another point in time (i.e. new household
     formation minus household dissolution through one or two heads of households joining into a single household and/or
     through the death of a single-person head of household).
4
     The lower house-building activity reflects partly lower property launches and sales by developers.
                                                                                                                                                                 33
                                The shortage in housing supply has been particularly acute in the affordable housing category. In
                                2014, half of Malaysian households earned a monthly income of RM4,585 and below. According to
ECONOMIC DEVELOPMENTS IN 2015
                                The imbalance between demand and supply, particularly in the affordable housing segment,
                                has contributed to a rapid increase in house prices7. This has compounded housing affordability
                                issues, particularly for the low- and middle-income population. Between 2009 and 2014,
                                average house prices in Malaysia rose by 7.9% in CAGR8 terms, exceeding the growth in average
                                household income of 7.3% over the same period. This contrasts sharply with the period in 2004
                                to 2007 when incomes were rising more than the growth of house prices (Chart 4). With an
                                uneven pace of growth between house prices and income, the affordability of houses across
                                the key states in Malaysia has progressively declined. Houses in Malaysia, on aggregate, were
Chart 3 Chart 4
                                Since 2010, New Launches in Malaysia Have Been                        House Prices Have Grown at a Faster Pace than
                                Increasingly Skewed towards Houses Priced                             Income Levels
                                above RM500,000                                                       CAGR, %
                                '000 units                                                            10
                                100
                                                                                                                                                               7.9
                                                                                                       8                                                                    7.3
                                    75
                                                                                               36%
                                                                                                       6
                                    50            9%                      24%
                                                 19%                                                   4
                                                                          34%                  43%                                 3.2
                                    25                                                                               2.5
                                                 72%
                                                                          42%                          2
                                                                                               21%
                                    0
                                                 2008                     2011                 2014    0
                                                                                                                        2004-2007                                2009-2014
                                         Less than RM250,000               RM250,000 - RM500,000
                                                                                                           Average house prices           Average household income
                                         Above RM500,000
                                                                                                      Source: National Property Information Centre and Department of Statistics, Malaysia
                                Source: National Property Information Centre                                  Household Income and Basic Amenities Survey Reports
ANNUAL REPORT 2015
                                5
                                     The oversupply of higher-end residential property is evident particularly in some areas in the key states and in selected
                                     property segments (i.e. luxury condominiums).
                                6
                                     Houses priced from RM540,000 are considered affordable for households earning at least RM15,000 a month (5.4% of
                                     Malaysia’s total population in 2014).
                                7
                                     Another contributing factor to the rapid increase in house prices over the past few years was the use of marketing tools
                                     by developers and low real property gains tax (RPGT) rates. For example, the Developer Interest-Bearing Scheme (DIBS) not
                                     only artificially inflated property prices, but also encouraged speculators to enter the property market with very small capital
                                     outlays. In November 2013, DIBS was prohibited by Bank Negara Malaysia, along with the introduction of more punitive RPGT
                                     rates by the Government.
                                8
                                     The Compound Annual Growth Rate (CAGR) is the average annual growth rate over a specified period of time.
34
considered seriously unaffordable in 2014 (house price-to-income ratio of 4.4) according to the
``Median Multiple´´ methodology. In the key states, houses were severely unaffordable in Kuala
The gap between actual house prices and the levels that are considered affordable to the
majority of Malaysian households requires comprehensive resolution. In 2014, the median house
price prevailing in the market was RM242,000, which was RM76,940 more than what would be
an affordable price for a median household9. Amongst the key states, the gap was most severe
in Kuala Lumpur at RM215,680 (Chart 5). In the major urban employment centres in these key
states, the situation is even more acute (Chart 6).
         Table 1
House Prices are Severely Unaffordable in Kuala Lumpur and Pulau Pinang
                                        House Price-to-Income Ratio
    Location
                                             2012                       2014                                                                       House Price-to-Income
                                                                                                  Rating
                                                                                                                                                           Ratio
    Kuala Lumpur                               4.9                       5.4
Source: Department of Statistics, Malaysia Household Income and Basic Amenities Survey Reports, National Property Information Centre and
        12th Annual Demographia International Housing Affordability Survey 2016
Chart 5 Chart 6
House Prices in Key States are beyond the Reach                                                 …and Even More so in the Key Urban
of Most Malaysians in 2014…                                                                     Employment Centres
RM '000                                                                                         RM '000
700                                                                                             700
                                                                                                               560                                                         600
600                                                                                             600
                             490                                                                                                    470
500                                                                                             500
                                                                                                                                                        335
400                                                                                             400
              242                            300                               295
                                                              260
300                                                                                             300
200                                                                                             200
                             274
              165                            224              187              169                             274                  233
100           165            274             224              187              169              100                                                     198                173
                                                                                                                                                                           173
    0                                                                                               0
           Malaysia     Kuala Lumpur       Selangor           Johor       Pulau Pinang                  Kuala Lumpur City        Petaling            Johor Bahru       Georgetown
           (4,585)         (7,620)          (6,214)          (5,197)         (4,702)                         [7,620]             [6,484]               [5,497]           [4,792]
        Ideal median house prices         Actual median house prices                                    Ideal median house prices           Actual city* median house prices
                                                                                                                                                                                    ANNUAL REPORT 2015
Note: Figures in parentheses ( ) refer to each state’s median household monthly income in 2014
      Figures in square brackets [ ] refer to the state’s urban median household monthly income in 2014, used as a proxy to the median household income in each urban city
*The cities in each state are based upon the delineation of (i) District: Petaling (Shah Alam, Subang Jaya and Petaling Jaya) in Selangor and Johor Bahru in Johor;
 (ii) Mukim: Kuala Lumpur Town Centre in Kuala Lumpur and Georgetown in Pulau Pinang
Source: Department of Statistics, Malaysia, National Property Information Centre and Bank Negara Malaysia estimates
9
    Houses priced up to a maximum of three times the annual median household income is considered affordable (RM165,060).
                                                                                                                                                                                    35
                                                                                 Information Box: Housing Loan Affordability
ECONOMIC DEVELOPMENTS IN 2015
                                     The assessment of housing affordability can alternatively be measured by the households’ ability to
                                     service mortgage loans using their income. The debt-to-income measure, which has been increasingly
                                     adopted by a number of countries with high household debt levels, establishes an upper limit to
                                     a household’s total loan in relation to its disposable income10. In this approach, we compare the
                                     maximum loan11 amount that a bank can extend to a median household against the actual median
                                     house prices. The results concur with our findings using the ``Median Multiple´´ approach.
                                     A median household in Kuala Lumpur and Penang has insufficient capacity to service a mortgage
                                     loan based on the median house prices in these areas (Chart A). In the key urban employment
                                     centres, that capacity is even less (Chart B).
Chart A Chart B
                                     House Prices in Kuala Lumpur and Penang are                                             Even More Severe Situation in the Key Urban
                                     Unaffordable to a Median Household                                                      Employment Centres
                                     RM '000                                                                                 RM '000
                                     700                                                                                      700
                                                                                                                                            560                                                       600
                                     600                                                                                      600
                                                                490
                                                                                                                                                               470
                                     500                                                                                      500
                                                                                                                              400                                                  335
                                     400
                                                                               300                             295
                                                 242                                           260
                                     300                                                                                      300
                                        0                                                                                        0
                                               Malaysia    Kuala Lumpur      Selangor          Johor       Pulau Pinang              Kuala Lumpur City       Petaling         Johor Bahru          Georgetown
                                               (4,585)        (7,620)         (6,214)         (5,197)         (4,702)                     [7,620]            [6,484]            [5,497]              [4,792]
Max. affordables house prices Actual median house prices Max. affordables house prices Actual city* median house prices
                                     Note: Figures in parentheses ( ) refer to each state’s median household monthly income in 2014
                                           Figures in square brackets [ ] refer to the state’s urban median household monthly income in 2014, used as a proxy to the median household income in each urban city
                                     * The cities in each state are based upon the delineation of (i) District: Petaling (Shah Alam, Subang Jaya and Petaling Jaya) in Selangor and Johor Bahru in Johor,
                                      (ii) Mukim: Kuala Lumpur Town Centre in Kuala Lumpur and Georgetown in Pulau Pinang
Source: Department of Statistics, Malaysia, National Property Information Centre and Bank Negara Malaysia estimates
                                Moving forward, a substantial increase in the supply of affordable housing is necessary. An estimated
                                202,571 new houses12 will be required annually between 2016 and 2020 to match the estimated
                                growth in households during this period, approximately 2.5 times the number of houses built annually
ANNUAL REPORT 2015
                                10
                                   Alfelt, Gustav, et.al. (2015). There is no general definition of how a debt-to-income limit should be designed and its effects
                                   can vary depending on its construction. For example, a debt-to-income limit can be introduced to either target individual
                                   households or the banks’ lending stock. Furthermore, the definition of debt and income may differ across countries.
                                11
                                   The loan size is based on 30% housing debt service ratio* (using income net of statutory deductions), 35-year loan tenure,
                                   housing loan-to-value ratio of 90% and lending rate of 5%.
                                12
                                   The estimate reflects a continuation of historical trends in terms of household formation and the capacity of households to
                                   exercise choice in owning a house. Net household growth is thus assumed to continue to expand at its long-term average
                                   (between 2005 and 2015) of 2.6% annually between 2016 and 2020.
                                   * Most young buyers tend to be indebted with existing debt obligations (i.e. car loan, outstanding credit card repayments),
                                     implying a lesser amount of disposable income that can be allocated for a housing loan.
36
in the previous five years (Chart 7). The shrinking size of households13, combined with continued
                                                                                                                                                    2015
growth in incomes and population, as well as rapid urbanisation, are expected to remain as important
                                                                                                                                                 IN 2015
drivers of the overall demand for houses, especially in the major urban areas. Consistent with the
                                                                                                                                    DEVELOPMENTS IN
underlying demand, especially in the major urban and employment centres, it is crucial to formulate a
                                                                                                                           ECONOMIC DEVELOPMENTS
holistic planning and implementation system to provide sufficient quality housing that is affordable for
the low- and middle-income households.
Chart 7
                                                                                                                           ECONOMIC
                                    Years to Match the Estimated Growth
                                    in Households
                                    '000
                                    250
                                                                                                  203    203
                                    200
                                                          167            166
                                    150
                                                  117
                                    100                                           80
50
                                      0
                                                 Avg. 2005-2008         Avg. 2011-2015e         Avg. 2016f-2020f
                                           Net increase in number of households           Completion of new houses
                                    e Estimate
                                    f Forecast
                                    Source: National Property Information Centre, CEIC and Bank Negara Malaysia
                                             estimates
Office segment
One of the measures of a commercial property’s health is the vacancy rate, or how much
commercial space is unused, where a higher rate commonly indicates that supply exceeds
demand. In 2015, the Klang Valley recorded a vacancy rate of 20.4% for its office space.
This stands in stark contrast to the regional average of 6.6% and the national level of 16.3%
(Chart 8). In tandem with the high level of vacancy rate in the Klang Valley, monthly rentals of
prime office space in Kuala Lumpur is the lowest amongst regional cities, at only USD2.60 per
square foot (Chart 9). Despite the low monthly rentals, some recently completed Grade A office
buildings in Kuala Lumpur have not achieved satisfactory occupancy rates. Savills Research, in its
May 2015 Property Market Overview Report, found that several Grade A office buildings which
were completed between 2011 and 2014 have only managed to record occupancy rates of
between 50% to 75%.
Over the next few years, the significant incoming supply of large projects could aggravate the
oversupply situation in the Klang Valley office segment. According to the 4Q 2015 Quarterly
Property Market Report by Jones Lang Wootton, a total of 63 new office buildings are scheduled to
                                                                                                                                         2015
                                                                                                                                  REPORT 2015
be completed in the Klang Valley over the next three years, where an average of 4.9 million square
feet of new office space will be added to the market each year. This is significantly higher than
                                                                                                                           ANNUAL REPORT
the historical average of 2.8 million square feet of new office space added to the market annually
between 2001 and 2015 (Chart 10).
                                                                                                                           ANNUAL
13
      In 1970, there was an average of 5.5 people per household. By 2020, the average is projected to be four people per
     household. Hence, the number of households will increase at a faster rate compared to population growth.
     (Source: Khazanah Research Institute, Making Housing Affordable, 2015).
                                                                                                                           37
                                       Chart 8                                                                                                 Chart 9
ECONOMIC DEVELOPMENTS IN 2015
                                Vacancy Rate in Klang Valley is Substantially Higher                                                   …and Monthly Rental is the Lowest amongst
                                Compared to National and Regional Averages…                                                            Regional Cities
                                25                                                                                                     16
                                                                                    Klang Valley                        20.4
                                                                                                                                       12                             11.6
                                20                                                                                                                                                  10.6
                                                                                                                        16.3                                                                                                                                    Regional average: 8.1
                                                                                                                                                                                                    8.5           8.4
                                                                                                                                        8
                                15
                                                                                                        Malaysia        10.8                                                                                                   5.8
                                                                                                                                                                                                                                           4.7                  4.6           3.6         3.0          2.6
                                                                                Other states                                            4
                                10
                                                                                                                                        0
                                  5
                                                                                            Regional average*: 6.6
Hong Kong
Beijing
Singapore
Shanghai
Seoul
Taipei
Jakarta
Hanoi
Manila
                                                                                                                                                                                                                                                                                                       Kuala Lumpur
                                  0
-5
                                -10
                                      1991       1995            1999           2003      2007          2011           2015
Source: National Property Information Centre and Colliers International Source: Savills Research
Chart 10
                                Klang Valley Office Supply to Increase Significantly between 2016 and 2018
                                Mn sqft                                                                                                                                                                                                                                                                         %
                                5.5        Avg. (1991-2000): 5.3 mn sqft                                                                                                                                                                                                                                      30
2017f
                                                                                                                                                                                                                                                                                               2018f
                                          1996
1997
1998
1999
2000
2001
2002
2003
2004
2005
2006
2007
2008
2009
2010
2011
2012
2013
2014
2015
f Forecast
*New supply in 2016-2018 does not include Tun Razak Exchange, Bukit Bintang City Centre and Bandar Malaysia
Source: National Property Information Centre, Jones Lang Wootton and Bank Negara Malaysia estimates
                                Retail segment
                                Signs of oversupply are also emerging in the retail segment in the major Malaysian urban areas, particularly
ANNUAL REPORT 2015
                                in Pulau Pinang, Johor and the Klang Valley. Although the vacancy rates in some of these areas have been
                                improving in recent years, the vacancy rates of between 12.4% in the Klang Valley to 28.2% in Pulau
                                Pinang remain relatively higher compared to other regional economies (Chart 11). The high vacancy rate is
                                symptomatic of a mismatch between the demand and supply for shopping malls in Malaysia’s major cities.
                                As an illustration, Johor Bahru, Pulau Pinang and the Klang Valley have amongst the lowest household
                                income and population levels compared to other regional cities (Chart 12). However, the prime retail space
                                per capita in these Malaysian cities is notably higher than in the more populous regional cities such as
                                Shanghai and Beijing, and also those with higher incomes, such as Singapore and Hong Kong (Chart 13).
38
       Chart 11
Pulau Pinang
Johor
Klang Valley
Shanghai
Singapore
Beijing
                                                                                                                                                                                                               Bangkok
         2001
2003
2005
2007
2009
2011
2013
                                                                                         2015
                                                                                                        *Regional average refers to 2014 data
Source: National Property Information Centre                                                            Source: National Property Information Centre, Jones Lang LaSalle and Singapore
                                                                                                                Urban Redevelopment Authority (URA)
Chart 12 Chart 13
Income and Population Levels of Malaysia’s Major                                                    …but Prime Retail Space per Capita are amongst
Urban Areas Trail that of Most Regional Cities…                                                     the Highest in Asia
Mean household income (2014), USD                                                                   Sqft per capita, 2015
9000
                              Singapore                                                             6
8000                                                                                                         5.5
7000                                                                                                5                         4.6
6000                                                                                                                                        3.9                   3.9
                                                                                                    4                                                                          3.7       3.6
5000                                        2                                                   3                                                                                                Regional avg.*: 3.2
                              Hong Kong                                3           Shanghai
                                                             Beijing
4000                                                                                                3
                                                                                                                                                                                                    2.4
3000
             Johor Bahru               Klang Valley                                                 2                                                                                                         1.6
2000
                                                 1
                P. Pinang          Bangkok                                                          1
1000
     0                                                                                              0
         0                5               10           15                  20             25                 Pulau Singapore Klang Bangkok Johor                                     Hong Shanghai Beijing
                                                                                                            Pinang           Valley        Bahru**                                   Kong
                                                                                Million persons
Note: 1 2013 data                                                                                   * Refers to simple average for Bangkok, Beijing, Hong Kong, Shanghai and Singapore
      2
        Median household income for economically active households                                  ** Includes Mukim Bandar Johor Bahru, Plentong and Tebrau
      3
        Disposable income for urban households
                                                                                                    Data for regional cities refer to 2Q 2015
Household income data (in local currency) for each city is converted using average
exchange rate in 2014 with the exception of Bangkok (2013)
                                                                                                    Source: Jones Lang Wootton, Jones Lang LaSalle, Department of Statistics, Malaysia,
Source: Department of Statistics, Malaysia, Regional Authorities, Haver and Newsflows               World Atlas and Bank Negara Malaysia estimates
                                                                                                                                                                                                                         ANNUAL REPORT 2015
Data sourced from the National Property Information Centre (NAPIC) shows that there are
currently 55 shopping malls under construction in Malaysia, with 35 of these in the Klang Valley,
Pulau Pinang and Johor. In 2016 to 2018, an additional 30.9 million square feet of retail space will be
completed in these locations, equivalent to about 40% of existing retail space. By 2018, prime retail space
per capita in the Klang Valley and Johor Bahru is projected to increase by about 43% and 119% respectively
from their already relatively high levels (Chart 14). The emergence of more new shopping malls is
likely to increase competition for tenants, resulting in higher vacancy rates, lower rentals and
increased risk of dilapidation.
                                                                                                                                                                                                                         39
                                                                         Chart 14
ECONOMIC DEVELOPMENTS IN 2015
                                                                 10
                                                                                                                                      8.1
                                                                  8
                                                                                    5.9                      5.7
                                                                             5.5
                                                                  6
                                                                                                      3.9                      3.7
                                                                  4
                                                                  0
                                                                             Pulau Pinang            Klang Valley             Johor Bahru*
                                                                 Note:    Population in Pulau Pinang, Klang Valley and Johor Bahru for 2018 is
                                                                          extrapolated using the average population growth in Malaysia between
                                                                          2011 and 2015
                                                                 f Forecast
                                                                 * Includes Mukim Bandar Johor Bahru, Plentong and Tebrau
                                Oversupply of commercial space may have potential spillover impact on other sectors in
                                the economy
                                The currently challenging economic conditions could pose additional risks to the demand for
                                commercial space. In the office segment, a prolonged period of low global oil prices would
                                dampen the demand for office space of the oil and gas sector. In the Klang Valley, the oil and
                                gas sector is the largest private sector office-occupier, filling up about 16% of total office space
                                (Jones Lang Wootton, 2015). In the retail segment, the ability of retailers to attract footfall and
                                consumer spending could become more challenging amid weaker consumer sentiments.
                                The implications of a significant rise in vacancy rates could extend beyond the commercial
                                property sector, with likely spillovers to other sectors of the economy (Chart 15). A sharp increase
                                in vacancy rates may result in tighter cash-flow conditions amongst developers, which are
                                typically owners of commercial properties. This could have adverse consequences for other sub-
                                sectors within the construction sector and other related industries14. Further weakness in these
                                related sectors could potentially affect employment prospects, impacting the ability of some
                                households to service their loans.
                                In several countries, the disorderly unravelling of commercial property booms had resulted in
                                considerable bank loan losses. In the early 1990s, Sweden, Finland, Norway and Japan experienced
ANNUAL REPORT 2015
                                an abrupt and severe unwinding of commercial property booms. This had resulted in severe spillovers
                                on other economic sectors in these economies, leading to a decline in economic activity. During the
                                2008/09 Global Financial Crisis, commercial property was also a major driver of loan losses in Australia,
                                France, Ireland and New Zealand, despite generally accounting for a much smaller share of banks’
                                loan books compared to residential property. This was attributable to a sharper pace of contraction in
                                commercial property prices compared to house prices (Matua, 2015).
                                14
                                     These include production-related construction materials and construction-related services.
40
                                       Chart 15
Developers
                                        4                                     2
                                                                    5
                                            Households                            Construction
                                                                 Banks               sector
                                                              Other related
                                                               industries
Housing market
In Korea and Singapore, the establishment of a single entity focussed on affordable housing
matters resulted in an alleviation of the mismatch between housing demand and supply. The
entities in these countries, the Land and Housing Corporation in Korea, as well as the Housing
and Development Board (HDB) in Singapore, are responsible for spearheading, centralising
and coordinating national and state initiatives related to affordable housing. The consolidation
of the various affordable housing entities under one agency had not only allowed for more
effective resource planning in these countries, but had also lowered development costs through
economies of scale.
Singapore had also successfully reduced its overall construction costs with an extensive adoption
of the Industrialised Building Systems (IBS)15 in its public housing projects. The use of IBS in
about 80% of all the HDB buildings had resulted in labour cost savings of more than 45%
compared to conventional methods16. The construction period of HDB buildings had also been
significantly reduced, with improvement in the quality of buildings given lower labour intensity
and construction standardisation.
In other countries, the rental market is generally accorded equal priority in national housing policies,
serving as an important alternative to homeownership. This is evident particularly in countries with
unaffordable house price levels17 (Chart 16). In Switzerland, Germany and Australia, the vibrant private
rental markets have contributed towards ensuring sufficient supply of houses to meet the needs of
                                                                                                                                   ANNUAL REPORT 2015
households with diverse income levels and preferences, as well as the shifting demographics. With
changing social preferences in a highly globalised world, renting offers households the flexibility and
mobility to move for career and education opportunities.
15
     IBS is a construction process that utilises techniques, products, components or building systems that involve prefabricated
     components and on-site installation.
16
     Thanoon, Waleed., et al. (2003).
17
     House price-to-income ratio of more than 3.0.
                                                                                                                                   41
                                     Chart 16
ECONOMIC
ECONOMIC DEVELOPMENTS
                                Countries with Unaffordable House Prices Generally Have a Strong Focus on the Rental Market
                                                                                                                                                                                                            2
                                House Price-to-Income (HPI) Ratio1                                                                                                Renters (% of Households)
                                 8    19.0 16.8                                                                                                                   60   56
         DEVELOPMENTS IN
                                                              16.7
                                 7                                                                                                                                                    49          48
                                                                                                                                                                  50
                                                                                                                              HPI of >3 is considered                                                                                                 Average of selected
                                 6                                           5.6                                                                                                                                                                       economies: 37%
                                                                                         5.2                                         unaffordable                                                           38          37
                                                                                                       5.0                                                        40                                                         35
                                 5
                                                                                                                   4.4                                                                                                                     31        31          31
                                 4                                                                                              3.9       3.9                     30
                                                                                                                                                  3.5                                                                                                                     24
                                                                                                                                                        2.8
                                 3
                                                                                                                                                                  20
                                 2                                                                                                                                                                                                                                                     11
                      IN 2015
                                                                                                                                                                  10
                                 1
                         2015
0 0
                                                                                                                                                                                                                        US
                                                                                                                                                                                                                Japan
                                                                                                                                                                                                                                                                 Canada
                                                                                                                                                                                                                                           Ireland
                                                                                                                                                                                                  Germany
                                                                                                                                                                                                                                                     Australia
                                                                                                                                                  US
                                                                                                                                                                                      Hong Kong
                                                                                                                                                                        Switzerland
                                                                                                                                          Japan
                                                                                                                                                                                                                                                                          Malaysia**
                                                                                                                                 Canada
Ireland
                                                                                                                                                                                                                             New Zealand
                                                                             Australia
                                                                                                                                                                                                                                                                                       Singapore***
                                                   Germany*
                                                                                                                   Malaysia
                                       Hong Kong
                                                                                                       Singapore
                                                               Switzerland
New Zealand
                                Note:
                                1
                                  Data as at 3Q 2015, with the exception of Switzerland (2012) and Germany (2013)
                                2
                                  2014 data, with the exception of Canada (2011), Japan, New Zealand, Singapore and Switzerland (2013)
                                * Median house price in Germany refers to the median price of single-family houses in Frankfurt, with a built-up of 150 square metres
                                ** For Malaysia, the figure includes households living in quarters
                                ***The high homeownership rate in Singapore reflects the dominance of public housing. About 80% of its population lives in Housing Development Board (HDB) units,
                                   where 95% are owner occupiers (Phang, 2010)
                                Source:12th Annual Demographia International Housing Affordability Survey 2016, National Property Information Centre, Department of Statistics, Malaysia,
                                       National Authorities, Global Property Guide and Trading Economics
                                In addition, the experience in lower Manhattan in New York City has highlighted the benefits of converting
                                old commercial buildings to facilitate a better utilisation of land within the city centre. Between 1995 and
                                2014, more than 17 million square feet of old commercial buildings were converted into a multitude of other
                                uses, including rental residential units, hotels and restaurants18.While the initial momentum of the conversion
                                was underpinned by the city’s financial incentive programmes19, conversions continued vigorously despite the
                                expiration of the incentives in 2006. These programmes had not only helped to revitalise the city, but also
                                supported the emergence of a residential community within the area. The local authority had also geared
                                its efforts towards reducing the vacancy rates of its office space by providing incentive programmes for
                                businesses to relocate to lower Manhattan20. Reflecting the success of these incentives, the occupancy rates
                                of office space had improved, with a more diverse tenant base, transitioning from its traditional pool of
                                financial, insurance and real estate companies towards those in the media, technology, non-profit and
                                education sectors (CBRE, 2014). Commercial to residential property conversions were also successfully
                                implemented in some areas in London, Toronto, Tokyo and Sydney. In these areas, the rising demand for
                                environmentally-friendly buildings, urban policy, office obsolescence and a tight housing market were the
                                most important drivers of the conversion exercises (Remøy and Wilkinson, 2015).
ANNUAL
ANNUAL REPORT
                                18
                                     CBRE Global Research and Consulting (2014).
                                19
                                     The redevelopments were initially aided by financial incentive programmes. The 421G programme, which was introduced in
                                     1995, provided tax incentives to encourage developers to convert office buildings constructed before 1975 into residential
       REPORT 2015
                                     properties. While some of these residential projects were targeted to the affluent community, the Lower Manhattan
                                     Development Corporation had also allocated over USD50 million to develop affordable housing in the area. This programme
                                     was stopped in 2006, as it had effectively revitalised lower Manhattan (Mechanic, 2012).
              2015
                                20
                                     These programmes include the Commercial Rent Tax Special Reduction, the Lower Manhattan Relocation Employment
                                     Assistance Programme (LM-REAP) and the Lower Manhattan Energy Programme (LMEP).
42
Conclusion
Malaysia is experiencing an undersupply of affordable houses particularly in the major urban areas, but
In the housing market, ensuring that the low- and middle-income households have access to quality
affordable housing involves not only commitment from the Government, but also the support of the private
sector. The experiences of other countries illustrate that constructing more public housing forms only a part
of the solution. There is a need for the consolidation of multiple providers of affordable housing across
the state and national levels and an equal focus on the rental market. In addition, macroprudential and
fiscal measures that are in place, such as the loan-to-value (LTV) measures, Responsible Lending Guideline,
higher real property gains taxes (RPGT) and the prohibition of Developer Interest-Bearing Scheme (DIBS),
remain instrumental towards maintaining the long-term sustainability of the property market and mitigating
potential risks to financial stability.
References
Alfelt, Gustav, Björn Lagerwall and Dilan Ölcer. (2015). `An analysis of the debt-to-income limit as a
policy measure´. Sveriges Riksbank Economic Commentaries, No. 8.
CBRE Global Research and Consulting. (2014). `Downtown Manhattan: A market transformed´.
Research Note, January 2014.
Jones Lang Wootton. (2015). The Quarterly Subscribers’ Forum, Kuala Lumpur.
Khazanah Research Institute. (2015). `Making Housing Affordable´. Kuala Lumpur: Khazanah
Research Institute.
Kragh-Sørensen, Kasper and Haakon Selheim. (2014). `What do banks lose money on during crises?´
Norges Bank Staff Memo, No.3.
Matua, Te. (2015). `Commercial property and financial stability´. Reserve Bank of New Zealand Bulletin,
78 (2).
Mechanic, Marc. (2012). `The future of lower Manhattan´. Lehigh University, Pennsylvania.
Phang, Sock-Yong. (2010). `Lessons from Singapore’s Central Provident Fund´. 4th Global Conference
on Housing Finance in Emerging Markets, World Bank, Washington DC.
Remøy, Hilde and Sara Wilkinson. (2015). `Adaptive reuse of offices´. 22nd Annual European Real
Estate Society (ERES) Conference, Istanbul.
                                                                                                                ANNUAL REPORT 2015
Thanoon, Waleed, Lee Wah Peng, Mohd Razali Abdul Kadir, Mohd Saleh Jaafar and Mohd Sapuan
Salit. (2003). `The essential characteristics of industrialised building systems´. International Conference
on Industrialised Building Systems, Kuala Lumpur.
                                                                                                                43
                                fixed assets by both the public corporations and              Table 1.6
                                the Federal Government. As a result, public
                                                                                         Balance of Payments1
ECONOMIC DEVELOPMENTS IN 2015
                                declines in commodity prices and sluggish                machinery, appliances and parts, manufacture of
                                demand for commodities and commodity-                    metal as well as iron and steel products, from both
                                related manufactured products resulted in a              advanced and regional countries also contributed
                                contraction of 3.1% in Malaysia’s gross exports.         positively to overall export performance.
                                In particular, LNG demand from Japan was
                                weak due to warmer-than-average weather,                 Gross imports also declined in the first half
                                while rubber demand from China was affected              of the year (1H 2015: -2.6%). Imports of
                                by the slowdown in domestic consumption.                 intermediate goods, which accounted for 58.2%
44
of gross imports, were weighed down mainly by the                      export destination for Malaysia, exports to ASEAN
sharp decline in fuel-related inputs following lower                   economies, which accounted for about one-third of
                                 Share      2013     2014     2015p          E&E          Non E&E         Commodities         Exports (annual change, %)
                                 2015
                                  (%)        Annual change (%)         Source: Department of Statistics, Malaysia
Gross exports                    100.0        2.5      6.3      1.9
  Manufactures                     80.2       5.1      7.1      6.5          Chart 1.5
   Electronics and
     electrical (E&E)              35.6       2.5      8.1      8.5    Import Performance
   Non-E&E                         44.6       7.1      6.4      5.0    Annual change (%), contribution to growth (percentage points)
                                                                       15
  Commodities                      19.2      -4.6      3.9    -13.4
                                                                       10
   Minerals                        10.6       3.7      6.2    -20.6
                                                                         5
   Agriculture                      8.6     -14.4      0.5      -2.7
                                                                         0
Gross imports                    100.0        6.9      5.3      0.4
                                                                                                                                                           ANNUAL REPORT 2015
                                                                        -5
   Intermediate goods              58.2       4.3      7.6      -2.3
                                                                       -10
   Capital goods                   14.0       2.2     -2.4      0.0             1Q    2Q      3Q    4Q    1Q    2Q      3Q   4Q   1Q    2Q      3Q   4Q
Source: Department of Statistics, Malaysia and Bank Negara Malaysia    Source: Department of Statistics, Malaysia
                                                                                                                                                           45
                                For the year 2015, growth of exports and imports                           savings-investment (S-I) surplus during the
                                moderated to 1.9% and 0.4%, respectively                                   year. Gross national savings (GNS) grew by 0.1%
ECONOMIC DEVELOPMENTS IN 2015
                                (2014: 6.3% and 5.3%, respectively). As the                                (2014: 8.1%) to 28.8% of GNI (2014: 30.3%),
                                slowdown in imports outpaced the moderation in                             while total gross capital formation expanded
                                exports, the trade surplus was higher at RM94.6                            at a faster pace of 4.9% (2014: 4.7%). The
                                billion (2014: RM82.5 billion). The sizeable trade                         slower growth in GNS was attributable to both a
                                surplus emanated from both manufactured and                                bigger decline in public savings (-28.7%; 2014:
                                commodity products. Commodities continued                                  -5.9%) and a more moderate growth in private
                                to contribute to the trade surplus, as lower                               sector savings (11.2%: 2014: 14.7%). This was
                                commodity exports were also accompanied                                    due mainly to the lower operating surplus of
                                by a decline in commodity-related imports,                                 companies in the commodity-related sectors. On
                                while exports of CPO and LNG have minimal                                  the other hand, public gross capital formation
                                corresponding imports.                                                     turned around to register a positive growth of
                                                                                                           1.9% during the year (2014: -3.2%). Together
                                The services account registered a larger deficit                           with the decline in public sector savings, this
                                due mainly to lower net receipts from the travel                           resulted in a widening of the public S-I deficit to
                                account and higher net payments for other                                  -RM39.7 billion (2014: -RM13.1 billion). Private
                                imported services for trade and investment-related                         gross capital formation, however, expanded at a
                                activity. Tourism receipts fell in 2015 as tourist                         slower pace of 7.5% (2014: 10.1%) arising from
                                arrivals into Malaysia were lower, while there was
                                an increase in outbound travel. During the year,                                 Chart 1.7
                                there was a larger deficit in the secondary income
                                account due to larger outward remittances by                               Current Account Balance
                                foreign workers. The deficit in the primary income                         RM billion                                                                 % of GNI
                                                                                                            40                                                                                4
                                With the trade surplus exceeding the deficits in
                                the services and income accounts, the current                                0                                                                                0
                                                                                                           250
                                -50                                                                                                        Gross Capital Formation
                                           2010         2011         2012         2013       2014   2015                                                                                  Private
                                                                                                           200
                                                                                                                                                                                          Savings
                                      Manufactures             Petroleum products                          150
                                                                                                                                                Public Savings
                                                                                                           100
                                      Crude petroleum          Liquefied natural gas (LNG)
                                                                                                            50
                                                                                                                        Savings-Investment Gap
                                      Palm oil                 Others                                        0
                                                                                                            2010            2011        2012            2013         2014          2015p
                                      Trade balance                                                        p Preliminary
                                Source: Department of Statistics, Malaysia                                 Source: Department of Statistics, Malaysia and Ministry of Finance, Malaysia
46
        ASEAN has Provided Positive Support to Malaysia’s Trade, Despite Weak Global Demand
Chart 1 Chart 2
..and diversification into higher value-added                                           Malaysia’s imports from ASEAN were also higher in
products, and increasingly for final regional demand                                    the recent period..
Chart 3 Chart 4
..and increasingly catered to Malaysia’s final                                          Continued positive support from ASEAN despite
demand                                                                                 weak global demand following the 2008 crisis
Chart 5 Chart 6
Malaysia's Imports from ASEAN by Type of Goods                                         Malaysia's Total Trade with Selected Asian
%                                                                                      Trading Partners
100                                                                                    Annual change (%),
                                20.2                                                   contribution to growth (percentage points)
                                                                     28.2
 80                                                                                    10
                                                                                        8
 60                                                                                     6
                                                                                        4
 40                             79.8                                 71.8               2
                                                                                        0
 20
                                                                                                                                                                                        ANNUAL REPORT 2015
                                                                                       -2
                                                                                                     2011              2012            2013              2014           2015
    0
                             2000                                    2015                   ASEAN                      PR China          Chinese Taipei         Korea
Intermediate goods Final demand Hong Kong Total trade (annual change, %)
                                savings increased at a faster pace than capital                                      of equity capital injections and drawdown of
                                formation, the private sector S-I gap registered                                     intercompany loans, while earnings retained
                                a larger surplus of RM73.7 billion in 2015                                           for the purpose of reinvestments were
                                (2014: RM60.4 billion).                                                              sustained. The bulk of the FDI inflows went
                                                                                                                     into the manufacturing sector, primarily in the
                                Significant two-way capital flows                                                    E&E industries and for the acquisition of assets
                                Against the backdrop of continued uncertainty                                        in the petrochemical-related industries. Despite
                                in global financial markets, the external sector                                     lower crude oil prices, FDI into the mining
                                experienced significant two-way cross-border capital                                 sector remained sizeable, reflecting mainly
                                flows for most of 2015. There were significant                                       the injection of working capital to support
                                outflows of foreign portfolio funds during the year.                                 on-going upstream exploration and extraction
                                Conversely, Malaysia continued to receive a steady                                   activities in oil and gas fields located offshore
                                inflow of foreign direct investments. Malaysian                                      from Sabah and Sarawak. The remainder of FDI
                                companies and resident investors also continued                                      comprised mainly investment in the services
                                to expand their international presence and acquire                                   sector, particularly in the finance and insurance
                                portfolio assets abroad, albeit at a slower pace. The                                and information and communication sub-
                                other investments account recorded a higher net                                      sectors. In terms of source countries, these FDI
                                outflow due mainly to higher outflows by the private                                 flows originated mostly from the advanced
                                sector. Overall, the financial account recorded a net                                economies, particularly Japan, the United States
                                outflow of RM53.3 billion (2014: net outflows of                                     and Singapore.
                                RM81.6 billion).
                                                                                                                     On the assets side, outward direct investment
                                Despite greater headwinds to the global                                              registered a lower net outflow of RM37.4 billion, or
                                economy, Malaysia remained a competitive                                             3.3% of GNI (2014: net outflow of RM53.1 billion
                                destination for foreign entities and                                                 or 5.0% of GNI). The lower outflows primarily
                                multinational corporations to invest in and                                          reflected a moderation in direct investment
                                expand their productive capacity. On the                                             abroad (DIA) by Malaysian companies which
                                liabilities side, inward direct investment registered                                amounted to RM39.3 billion during the year.
                                a net inflow of RM37.6 billion, equivalent to 3.3%                                   The moderation in DIA was attributed mainly
                                of GNI (2014: net inflow of RM34.6 billion, or                                       to lower injections of equity capital amid
                                3.3% of GNI). A large proportion of the inflow                                       continued extension of inter-company loans to
                                Net Foreign Direct Investment by Sectors1                                            Net Direct Investment Abroad by Sectors1
                                                                       Others2                                                                     Others2
                                             Non-financial services     2.8%                                                                       10.5%
                                                    8.2%
                                                                                                                                                                                        -
                                       Financial services                                        Mining
                                                                                                                         Non-financial services
                                            11.4%                                                32.8%
                                                                                                                                13.3%
                                                                        2015p                                                                             2015p
                                                                      RM39.5 billion                                                                    RM39.3 billion
                                                                                                                                                                                         Mining
                                                                                                                                                                                         62.2%
ANNUAL REPORT 2015
                                                                                                                          Financial services
                                                                                                                               14.0%
                                                  Manufacturing
                                                     44.8%
                                1
                                  Foreign direct investment as defined according to the 5th Edition of the Balance   1
                                                                                                                      Direct investment abroad as defined according to the 5th Edition of the Balance
                                  of Payments Manual (BPM5) by the International Monetary Fund (IMF)                  of Payments Manual (BPM5) by the International Monetary Fund (IMF)
                                2
                                  Refers to agriculture and construction sectors                                     2
                                                                                                                      Refers to agriculture, construction and manufacturing sectors
                                p Preliminary                                                                        p Preliminary
Chart 1 Chart 2
FDI from ROW FDI from ASEAN DIA to ROW DIA to ASEAN
FDI from ASEAN is mostly undertaken by                                                 DIA to ASEAN is more diversified, mainly to
subsidiaries of MNCs located in Singapore                                              Singapore, Indonesia and Thailand
Chart 3 Chart 4
ASEAN Direct Investment Position in Malaysia                                           Malaysia's Direct Investment Position in ASEAN
by Country                                                                             by Country
RM billion                                             Rest of ASEAN                   RM billion                                        Rest of ASEAN
                                                           2.8%            Singapore                                                         10.5%                    Singapore
600                                                                          97.2%     700                                                                              48.2%
                        507.6                                                                                  588.4                  Thailand
500                                                                                    600
                        21.2%                                                                                                          9.1%
                                                                                       500                     29.6%
400
                                                            ASEAN FDI as at            400                                                          DIA to ASEAN
300       255.0                                               4Q 2015p:                                                                            as at 4Q 2015p:
                                                                                       300
200       18.1%                                             RM107.7 billion                     231.8                                              RM174.1 billion
                                                                                       200      32.7%
                                                              (21.2% of                                                                               (29.6% of
100                                                                                    100
                                                               FDI stock)                                                                             DIA stock)
    0                                                                                    0
                                                                                                 2008       4Q 2015p                 Indonesia
           2008        4Q 2015p                                                                                                        32.3%
        FDI from ROW          FDI from ASEAN                                                 DIA to ROW         DIA to ASEAN
FDI from ASEAN is channeled mainly into                                                Bulk of DIA to ASEAN is in the services sector,
manufacturing and financial services                                                    particularly financial services
Chart 5 Chart 6
ASEAN Direct Investment Position in Malaysia                                           Malaysia's Direct Investment Position in ASEAN
by Sector1                                                                             by Sector2
                         Non-financial Others Agriculture
                                             3
                                                                                                                                         Mining
                           services     1.5%                                                                        Others4
                                                7.3%                                                                                     11.5%
                           13.5%                                                                                    16.3%
                                                                                                                                                 Manufacturing
                                                                                                                                                    7.3%
                  Financial          ASEAN FDI as at                                                Non-financial           DIA to ASEAN
                  services             4Q 2015p:                                                      services             as at 4Q 2015p:
                   22.5%             RM107.7 billion                                                  16.6%                RM174.1 billion
                                                            Manufacturing
                                                               55.2%                                                                               Financial
                                                                                                                                                   services
                                                                                                                                                    48.2%
                                                                                                                                                                                  ANNUAL REPORT 2015
1
  Foreign Direct Investment as defined according to the 5th Edition of the Balance of Payments Manual (BPM5) by the International Monetary Fund (IMF)
2
  Direct Investment Abroad as defined according to the 5th Edition of the Balance of Payments Manual (BPM5) by the International Monetary Fund (IMF)
3
  Refers to construction and mining sectors
4
  Refers to agriculture and construction sectors
p Preliminary
Source: Department of Statistics, Malaysia
                                                                                                                                                                                  49
                                subsidiaries abroad. The bulk of DIA continued                                  portfolio assets, resulting in net outflows
                                to be channelled into the mining sector. These                                  amounting to RM29.1 billion during the first three
ECONOMIC DEVELOPMENTS IN 2015
                                Source: Department of Statistics, Malaysia                                      The other investment account registered higher
                                                                                                                net outflows of RM24.9 billion for the year as a
50
whole (2014: net outflows of RM23.6 billion),          and portfolio investment abroad in 2015. These
due mainly to net outflows in the banking and          outflows have more than offset the current
the diversified composition of foreign currency        debt and only 40.1% of GDP (Asian Financial
reserve assets, the reserves level in USD terms had    Crisis (AFC): 60.0% of GDP). The composition of
correspondingly declined, amid the strengthening       the offshore borrowing has also changed. While
of USD against most other currencies during the        non-bank private corporations were the main
same period. In general, the lower international       borrower during the AFC, their share has declined
reserves in USD terms reflect the relatively higher    in recent years as more have sought financing
outflows of non-resident portfolio investment and      from the more developed domestic financial
continued, albeit lower, resident direct investment    markets. A large share of offshore borrowing
                                                                                                              51
                                        Chart 1.12                                                                               Table 1.8
ECONOMIC DEVELOPMENTS IN 2015
                                                                                                                             mainly foreign currency loans raised, and bond and notes issued
                                as at end-2015, which are available to meet their                                            offshore
                                external obligations. Their external exposure is                                           2
                                                                                                                             Comprise trade credits, IMF allocation of SDRs and miscellaneous
                                                                                                                           3
                                                                                                                             Short-term offshore borrowing, NR holdings of short-term
                                also generally hedged, either naturally through                                              domestic debt securities, NR deposits, short-term trade credits and
                                foreign currency earnings, or through the use of                                             miscellaneous
                                                                                                                           4
                                                                                                                             Equivalent to short-term offshore borrowing
                                financial instruments. Furthermore, the offshore                                           5
                                                                                                                             Based on international reserves as at 29 February 2016
                                borrowing is used mainly to finance the expansion                                          Note: NR refers to non-residents
                                of productive capacity and for better management                                           Source: Ministry of Finance, Malaysia and Bank Negara Malaysia
                                of financial resources within corporate groups. In
                                the case of intercompany loans, these borrowings                                           (end-2014: RM371.1 billion). Excluding the foreign
                                are generally on concessionary terms with flexible                                         exchange revaluation changes, offshore borrowing
                                repayment schedule.                                                                        increased at a more moderate pace of 4.0% during
                                                                                                                           the year, contributing two percentage points to the
ANNUAL REPORT 2015
                                External debt increased by 11.5% in 2015, attributed                                       overall increase in the external debt. This reflects,
                                mainly to the valuation effects from the depreciation                                      in particular, the net drawdown of intercompany
                                of the ringgit against most currencies during the first                                    borrowing by several private corporations in the
                                three quarters of the year. The ringgit depreciation                                       oil and gas sector. The net drawdown of offshore
                                affected mainly offshore borrowing, which increased                                        borrowing by the public corporations during the
                                by RM92.6 billion or 24.9% to RM463.6 billion                                              year was attributed largely to the new issuances of
                                                                                                                           international debt securities as well as sukuk by an
                                2
                                    	 Malaysia’s international investment position.                                        oil and gas company in the first quarter of 2015.
52
 Chart 1.13
                                                        Public corporations
             Non-bank            End-1998                                                            End-2015
                                                              30.1%
              48.3%            RM170.0 billion                                                     RM463.6 billion
                               60.0% of GDP                                                        40.1% of GDP
                                           Bank
                                                                                                       Bank
                                          12.7%
                                                                                                      45.6%
Source: Bank Negara Malaysia
                                                                                                 NR holdings of domestic
Non-resident holdings of domestic debt                                        0
                                                                                         -1.6    debt securities
securities declined by RM11.9 billion or 5.3%                                            -1.9    NR deposits
                                                                                                                                       -0.4   Bank
                                Short-term external debt (STED) stood at RM351.9 billion, being equivalent to 30.4% of GDP as at
                                end-2015 (end-2009: RM166.3 billion or 23.3% of GDP), and accounting for 42.2% of the total
                                external debt (end-2009: 42.8%). The upward trend in short-term external debt between 2009 and
                                end-June 2014 reflected mainly the larger non-resident (NR) holdings of short-term domestic debt
                                securities and deposits. Between July 2014 and end-2015, short-term external debt rose because of
                                the valuation effects of the weaker ringgit exchange rate against most currencies. Measured against
                                the international reserves, the reserves coverage of the short-term external debt declined to 1.2 times
                                as at end-2015 (end-2009: 2.0 times).
Chart 1 Chart 2
                                250                                                                             1.5
                                                                                                                          100
                                200                                                                                                              169.5                                   5.5
                                150                                                                             1.0
                                                                                                                           50
                                                                                                                                                                                         65.5
                                100
                                                                                                                0.5
                                    50                                                                                      0
                                                                                                                                                     -4.0
                                    0                                                                           0.0                                                                     -66.12
                                            2009      2010       2011    2012     2013     2014       2015                -50
                                                                                                                                 Total increase: +190.3                                  +4.9
                                         Interbank borrowing            NR deposits         Trade credits
                                                                                                                      -100
                                                                                                                                            2009-June 2014                        July 2014-end-2015
                                         NR holdings of short-term      Intercompany       Others                               Net borrowing (+)/          Valuation effects         Other factors1
                                         domestic debt securities       loans
                                                                                                                                repayment (-)
                                         Reserves/Short-term                                                          1
                                                                                                                        Include price changes especially on domestic debt securities held by non-residents,
                                         External Debt (RHS)                                                            and other adjustments associated mainly with data classification, coverage
                                                                                                                        and updates
                                                                                                                      2
                                                                                                                        Mainly liquidation of NR holdings of short-term domestic debt securities
                                Source: Bank Negara Malaysia
                                                                                                                      Source: Bank Negara Malaysia
Chart 3 Chart 4
25 2.0
                                20                                      19.6
                                                                                                                      1.5
                                               Overall: 15.8                                                                                                   1.2
                                15
                                                               11.3                       14.9       12.4             1.0
ANNUAL REPORT 2015
                                10
                                                                                                                                                 0.4
                                                    4.0                                                               0.5
                                                                                                                                     0.2
                                    5
                                                                                                                      0.0
                                    0
                                                                                                                                 Singapore Hong Kong        Malaysia    Indonesia     Thailand         South
                                         Interbank borrowing               NR deposits              Trade credits                                                                                      Korea
                                                                                                                                                                                                               1
    Despite the increase, short-term external debt remains manageable. This assessment is based on
    key characteristics of the external liabilities and the borrowers. Borrowers, especially banks and
    The accumulation of external assets by banks and corporations represents the decentralisation of
    international reserves, which is also evident in the growing foreign currency deposits in the domestic
    banking system. About two-third of these deposits is accounted by business enterprises, whose foreign
    currency deposits has increased at a compounded annual growth rate of 23.0% during 2007-2015 to
    RM90.4 billion as at end-2015. Consequently, not all of the short-term external debt obligations create
    claims on the international reserves.
Chart 5 Chart 6
    Malaysia's International Investment Position                                            The Sizeable External Assets of Malaysia's Banks
    RM billion                                                               RM billion
                                                                                            and Corporations Underscore their Debt
                                                                                            Servicing Capacity
    2,000                                                                            200
                                                                                                                    External assets, excluding reserves,
    1,500                                                                            150    %                  as a share of countries’ total external assets
                                                                                            80
    1,000                                                                            100                                                                        72.1
        500                                                                          50     70
0 0 60
        -500                                                                         -50    50
    -1,000                                                                           -100
                                                                                            40
    -1,500                                                                           -150
                                                                                            30
    -2,000                                                                           -200
                2001   2003   2005      2007        2009   2011    2013     2015            20
                                                                                                      2010            2011             2012            2013            2014
Assets excluding international reserves International reserves Malaysia South Korea Thailand
Source: Department of Statistics, Malaysia Source: Haver Analytics and Department of Statistics, Malaysia
    The adverse effects of exchange rate changes on the short-term external debt are also largely
    contained. About 25% of the short-term external debt is denominated in ringgit and therefore is not
    affected by the valuation changes. Of the remaining external debt that is denominated in foreign
    currency, which is largely hedged, about 70% is held by banks.
    Banking sector accounted for the largest share of short-term external debt
    The banking sector accounted for about 70% of the short-term external debt. This debt is mainly
                                                                                                                                                                              ANNUAL REPORT 2015
    in the form of interbank borrowings and NR deposits in the domestic banking institutions. To a
    much lesser extent, the banks’ short-term external debt also includes other short-term external debt
    comprising short-term loans from offshore banks and miscellaneous payables4.
    1
         Including public corporations.
    2
         Malaysia’s international investment position.
    3
         Trade credits, deposits placed abroad, intercompany loan and other short-term assets.
    4
         Include, among others, insurance claims yet to be disbursed and interest payable on bonds and deposits.
                                                                                                                                                                              55
2
                                                                        Chart 7
ECONOMIC DEVELOPMENTS IN 2015
                                                                                    BNM          NR holdings
                                                                                           of domestic debt securities
                                                                                                    7.7%
                                                                           Intercompany loans
                                                                                  4.2%
                                                                        Trade credits
                                                                           15.3%
                                                                         Non-bank
                                                                        corporations                                              Interbank
                                                                                                                                  borrowing
                                                                                                                                    45.8%
                                                                            Other
                                                                            3.7%
                                                                                                                           Banking
                                                                                                                         Institutions
                                                                                          NR deposits
                                                                                            23.2%
                                Non-bank corporations constitute the second largest owners of short-term external debt (22%), mainly
                                in the form of trade credits and intercompany loans. Non-resident controlled companies accounted for
                                about 78.7% of the non-bank corporations’ short-term external debt. Bank Negara Malaysia is the country’s
                                third largest owner of short-term external debt due to the high non-resident ownership of Bank Negara
                                Monetary Notes (BNMNs). The remaining and relatively smaller holdings of short-term domestic debt
                                securities by non-residents are concentrated in the Government’s Treasury Bills.
                                Borrowers’ debt servicing capacity has shown resilience to exchange rate shocks
                                (a) Banking sector – Prudent and active management of liquidity and foreign exchange risks
                                    Interbank borrowing and the placements of funds by foreign entities constitute short-term debt
                                    liabilities of the domestic banking institutions. Partly, this reflects the banks’ intragroup liquidity
                                    management operations which involve the centralised pooling of excess liquidity across the various
                                    overseas banking operations. There are also placements of deposits from foreign parent entities
                                    in the locally incorporated foreign banks. For banks in Labuan5, which accounted for about 40%
                                    of total interbank borrowing and NR deposits placements, their debt reflects mainly borrowing by
                                    non-resident controlled banks from intra-group entities operating in the regional financial centres,
                                    namely in Hong Kong and Singapore. The risks associated with these placements and borrowings
                                    are prudently managed through the banks’ liquidity management practices. These include, but
                                    are not limited to, internal limits on funding and maturity mismatches and the establishment of
                                    contingent funding lines with parent banks to absorb foreign currency funding shocks. Of great
                                    significance, the risk of maturity mismatch is contained given that the banks’ short-term external
                                    assets have grown in tandem with the growth in their short-term external debt.
ANNUAL REPORT 2015
                                     In addition to foreign currency assets, banks are prudently managing the foreign exchange risks
                                     of their debt. This was evident in the banks’ low net open positions relative to total capital, which
                                     incorporates foreign exchange exposures across all tenures (short- and long-term) and sources
                                     (domestic and abroad).
                                5
                                    Effective from the first quarter of 2008, entities in Labuan International Business and Financial Centre (Labuan IBFC) have
                                    been treated as residents, instead of as non-residents previously, in the compilation of external debt.
56
                                                                                                                                                                  3
                                        Chart 8
                               4
                                    M       J     S   D      M    J     S    D     M    J     S    D     M     J    S       D
    (b) Non-bank corporations – availability of export earnings, flexible and concessionary intercompany
        loans and hedged external exposures
        Trade credits and intercompany loans constitute the bulk of non-bank corporations’ short-term
        external debt. As with any trade-related activity, trade credit liabilities arise from the deferred
        settlement of outstanding invoices. These trade credits were normally granted by foreign trade
        partners to importers with sound financial standing and low credit risk. As bulk of imports are
        intermediate goods for the production of goods for export, a majority of companies with trade
        credits have foreign currency export earnings. Available data shows that export earnings of 60%
        of these companies exceed their respective trade credits. In addition, about half of the remaining
        companies have export earnings that partially offset their trade credits.
Chart 9
                               150                                                                                      500
                                                                                                                        400
                               100                                                                                      300
                                                                                                                        200
                                   50
                                                                                                                        100
                                    0                                                                                   0
                                           2009       2010       2011       2012       2013       2014       2015
                                                                                                                                    15.8%               7.2%
                                                               22.8%                         18.4%
                                                                                                                                                               6.1%
5.5%
                                                    15.9%
                                                                                                                          6.0%
                                                                                                42.9%
                                                                                                                                                               43.8%
                                     Based on a recent BNM survey, a significant proportion of intercompany loans are provided on
                                     flexible and concessionary terms. These include, in particular, no fixed repayment schedules
                                     and zero or low interest rates that are much lower than the prevailing market rates. These
                                     flexibilities and concessionary terms enable corporations to meet their debt obligations
                                     without much difficulty.
                                     The foreign currency external debt obligations of corporations are largely hedged, either
                                     naturally through foreign currency earnings or through financial instruments, thereby limiting
                                     any potential adverse impact from the weaker ringgit on their debt servicing capacity.
                                     NR holdings of BNMNs fell from a peak of RM85.7 billion as at end-August 2014 to RM14.0 billion
                                     in mid-August 2015. As at end-2015, NR holdings of BNMNs had again increased but moderately
                                     to RM23.7 billion. Partly in response to the reduction in liquidity arising from the short-term capital
                                     outflows, the Bank had stopped new issuances and allowed the instruments to mature in the first
ANNUAL REPORT 2015
                                     half of 2015. Only in the latter half of 2015 did the Bank re-issue BNMNs when capital flows began
                                     to stabilise in late August 2015. In addition to BNMNs, the Bank is well-equipped with a host of
                                     monetary policy instruments to manage domestic liquidity.
                                Conclusion
                                Malaysia’s short-term external debt is manageable. Malaysian entities have increasingly acquired assets
                                abroad over the years amid the progressive liberalisation of the foreign exchange administration rules.
58
                                                                                                                                                                             5
    Given the level of external assets and foreign currency earnings, the external debt obligations of these
    corporations and banks do not create claims on the Central Bank’s international reserves. Furthermore,
                                in providing sustained demand for domestic                the lower headline inflation was largely due
                                financial assets as foreign investors rebalanced          to the impact of the lower global energy and
                                their exposures. In addition, the Bank’s                  commodity prices, which more than offset the
                                monetary operations and the judicious use of              effects from a weaker ringgit exchange rate,
                                several policy instruments helped to ensure the           the implementation of GST, and several upward
                                availability of sufficient liquidity to support the       adjustments in administered prices made
                                orderly functioning of the money and foreign              towards the end of the year.
60
      Chart 1.16                                                                  While headline inflation was lower in 2015, price
                                                                                  increases during the year were more pervasive.
Source: Department of Statistics, Malaysia and Bank Negara Malaysia               Percentage of CPI Items Registering Different
                                                                                  Inflation Ranges
                                                                                  80%
Notwithstanding the volatility in headline                                        60%
inflation, core inflation3 was stable averaging
                                                                                  40%
2.3% during the year (2014: 2.3%). The stability
                                                                                  20%
of core inflation reflected the moderate
                                                                                  0%
domestic demand conditions, the absence
                                                                                  20%
of excessive wage pressures, and the benign
                                                                                                                                                                         ANNUAL REPORT 2015
                                                                                  40%
global inflation environment.
                                                                                  60%
                                                                                  80%
3
    	 Core inflation attempts to measure the underlying inflation                         J      F      M    A     M          J          J    A      S       O   N   D
      rate. For Malaysia, core inflation is computed by excluding                                                                 2015
      price-volatile and price-administered items whose price
                                                                                        Inflation ≤ 0         0 < Inflation ≤ 2              2 < Inflation ≤ 4
      movements are more likely to be affected by temporary
      shocks and volatile supply factors rather than persistent
                                                                                        4 < Inflation ≤ 6     Inflation > 6
      changes in underlying factors affecting demand and supply
      conditions. In addition, core inflation also excludes the                   Source: Department of Statistics, Malaysia and Bank Negara Malaysia
      estimated direct impact of GST.
                                                                                                                                                                         61
                                    Chart 1.19                                                                          Table 1.9
                                                                                                                    Inflation by Categories
ECONOMIC DEVELOPMENTS IN 2015
                                global oil prices, which more than offset the                                       consumer goods and services. The price increases
                                impact of the weaker ringgit on imported                                            were especially notable in the furnishings,
                                refined fuels for domestic usage. Inflation in the                                  household equipment and routine household
                                housing, water, electricity, gas and other fuels                                    maintenance, communication and miscellaneous
                                category was also lower at 2.5% (2014: 3.4%)                                        goods and services categories. While the price
                                due to the downward revisions in electricity                                        increases were broad-based across most CPI
                                tariffs in the first quarter of 2015.                                               categories, the overall impact was still contained
                                                                                                                    as GST contributed only 0.7 percentage point
                                The implementation of GST at 6% on 1 April 2015                                     to headline inflation in 2015. This was lower
                                led to higher inflation for most categories of                                      than the initial estimate of 1.0 percentage point.
                                                                                                                    The lower-than-expected impact was partly due
                                    Chart 1.20                                                                      to the absorption of GST by some firms at the
                                                                                                                    initial stage of implementation. In addition, the
                                Domestic Fuel Prices in 2015
                                                                                                                    spillover effects from GST were small amidst
                                RM per litre
                                                                                                                    active enforcement of the Price Control and
                                2.60
                                2.50
                                                                                                                    Anti-Profiteering Act 2011 by the Government to
                                2.40                                                                                ensure that price increases were not excessive.
                                2.30
                                2.20
                                2.10
                                                                                                                    Inflation during the year was also influenced
                                2.00                                                                                by the shortages in the supplies of fresh food
ANNUAL REPORT 2015
                                                                     Note: The nominal effective exchange rate (NEER) against import partners is
                           KTM railway                                     calculated based on the weighted average of the bilateral exchange rates
                                             +4 sen/km       36.4          against Malaysia’s top 15 import partners. A positive figure indicates a
                             charges
                                                                           depreciation in ringgit against Malaysia’s main import partners relative to
    2 December 2015                                                        the year before.
                                             Average increase of
                       LRT and Monorail                              Source: Department of Statistics, Malaysia, International Monetary Fund (IMF),
                                             10% depending on
                        railway charges                                      Bloomberg and Bank Negara Malaysia
                                             length of commute
also contributed to the inflationary pressures.                      production of selected crops and overall low energy
However, given that most of these adjustments                        costs. Notwithstanding the weaker ringgit, the
were implemented towards the end of the year, the                    lower global commodity prices had led to an overall
impact on overall inflation for 2015 was small.                      reduction in the costs of inputs for local producers.
                                                                     Prices of both raw and intermediate materials faced
During the year, the ringgit depreciated by 16.6%                    by producers, for example, declined by 15.6% and
against the currencies of Malaysia’s major import                    3.4%5, respectively during the year (2014: -1.0%
partners. However, despite the depreciation, the                     and 2.6% respectively), resulting in the Producer Price
impact on domestic inflation, both through the                       Index (PPI) declining by 4.8% in 2015 (2014: 1.4%).
direct and indirect channels, was modest. Through                    The impact of the weaker ringgit through the indirect
the direct channel, the weaker ringgit resulted in an                channel was also contained by the small share of
increase in the prices of imported finished goods.                   imported intermediate inputs in the producers’ cost
Excluding fuel, imported CPI increased by a higher                   structure6 (See Box Article on The Impact of Exchange
rate of 3.0% in 2015 (2014: 0.9%). This was driven                   Rate Depreciation on Inflation in Malaysia).
mainly by higher prices of imported food items,
which rose by 5.7% (2014: 2.4%). However, the                        Domestically, the more moderate domestic
impact on overall inflation was contained as these                   demand pressure due to the slower expansion of
imported goods only constitute a small share of the                  private consumption and the absence of excessive
CPI basket at 7.2%.                                                  wage growth, has also helped contain inflationary
                                                                     pressures during the year. Firms’ production
The indirect impact of the weaker ringgit through                    capacity remained more than sufficient to meet
imports of raw and intermediate inputs was also                      the increase in consumer demand, as reflected
modest, being offset by the much larger decline                      by the relatively stable capacity utilisation rate of
in global commodity prices. The IMF Primary                          77% in 2015 (2014: 79%) in the manufacturing
Commodity Price Index fell by a double-digit rate of                 sector. Information from the Bank’s surveys also
35.3% in 2015. The decline in prices was registered                  indicated that firms were hesitant to fully pass on
                                                                                                                                                              ANNUAL REPORT 2015
across most types of commodities due mainly to                       the higher cost pressures to consumers given the
ample supplies amidst the weak global demand.                        environment of weaker demand.
Global food prices were lower as reflected by the
decline of 17.1% in the IMF Food Price Index4                        5
                                                                       	 Bank Negara Malaysia estimates. These prices incorporate
(2014: -4.1%) due mainly to the record high                               both prices of imported and locally sourced raw and
                                                                          intermediate materials.
                                                                     6
                                                                        	 Based on estimation from the Input-Output Tables 2010
4
    	 The IMF Food Price Index includes the price index of cereal,        for Malaysia, about 20% of the gross output is imported
      vegetable oils, meat, seafood, sugar, bananas and oranges.          intermediate inputs.
                                                                                                                                                              63
                                                                                                                                                         1
                                                                             Inflation and the Cost of Living
ECONOMIC DEVELOPMENTS IN 2015
                                The cost of living, on the other hand, refers to the amount of expenditure on goods and services
                                incurred by households, including their financial obligations, to maintain a certain standard of living2.
                                This spending or cost of living is determined by both household spending patterns and the prices faced
                                by households. Spending patterns differ across households as the patterns are primarily influenced
                                by household income, demography, family structure and area of residence3. Price changes faced by
                                households, in turn, vary by geographical factors.
                                As the CPI masks the heterogeneity in household spending patterns and the variations in
                                price changes of goods and services faced by households, the inflation rate is considered as
                                an approximation of the rate of increase in the cost of living. To the extent that the dispersion
                                in spending patterns and variation in price changes are insignificant, the CPI is a reasonable
                                gauge of the cost of living. In a situation where the dispersion in spending patterns and price
                                changes are large, the inflation rate could be a weak approximation of the rate of increase in
                                the cost of living. In this regard, the CPI could understate or overstate the cost of living for some
                                segments of households4. Given the heterogeneity in spending patterns and significant variations
                                in the prices of goods and services, a more meaningful analysis of the cost of living requires
                                assessing changes in spending patterns and costs across the various household categories and
                                geographical locations. The most common dimension is to assess the changes in the cost of living
                                over time, across different income groups and across states or regions in a country.
                                II. An analysis of the cost of living using household surveys and disaggregated CPI data
                                Using data from the Household Income and Basic Amenities Survey (HIS/BA) and the Household
                                Expenditure Survey (HES)5 for 2009 and 2014; as well as the disaggregated state-level6 CPI data, this
                                1
                                    The composition of goods and services in the CPI basket and their respective weights are determined based on the aggregate
                                    household expenditure patterns obtained from a nationwide expenditure survey. In Malaysia, the CPI basket is revised every
                                                                                                                                                                        ANNUAL REPORT 2015
ANNUAL REPORT 2015
                                    five years based on the Household Expenditure Survey as per international practice. The latest CPI weights, based on the 2014
                                    survey, were released in January 2016.
                                2
                                    The standard of living measures the quality of life or the level of material prosperity enjoyed by individuals.
                                3
                                    Other factors could include education level and ethnicity.
                                4
                                    Empirical studies show that the CPI can also at times overstate the cost of living because of substitution bias. Due to the fixed
                                    CPI basket, it may not capture the substitution to cheaper goods and services, which could effectively lead to a decline in cost
                                    of living, despite higher prices.
                                5
                                    Both the HIS/BA and the HES are carried out using a personal interview approach, covering urban and rural areas for all states.
                                    The surveys are carried out by probability sampling that represents all households in Malaysia.
                                6
                                    CPI by states is published by the Department of Statistics, Malaysia, with data series available since 2011.
64
                                study analyses the cost of living for different groups of households in Malaysia. The HIS/BA is conducted
                                every two to three years to collect statistics pertaining to the pattern of income distribution of Malaysian
ECONOMIC DEVELOPMENTS IN 2015
                                Chart 1 shows the differences in spending patterns across different income groups for households
                                in Malaysia based on the most recent HES survey. The lower income groups allocate more of their
                                expenditure to food, and less to transport, healthcare, education and discretionary spending compared
                                to the higher income groups. Households in highly urbanised states7,8 such as Kuala Lumpur and
                                Selangor spend more on housing, whereas households in the less urbanised states9 such as Pahang
                                and Kelantan spend more on food.
Chart 1
80%
60%
40%
20%
                                    0%
                                             Bottom 20         21-40            41-60              61-80             Top 20                          Highly           Semi-                Less
                                                                                                                                                   urbanised        urbanised           urbanised
                                                                                                                                                     states           states              states
                                                                          By income group                                                                            By state
Food and non-alcoholic beverages Housing, water, electricity, gas and other fuels Transport Health and Education Discretionary spending*
                                *Discretionary spending includes spending on alcoholic beverages and tobacco,clothing and footwear, furnishings, household equipment and routine household
                                maintenance, communication, recreation services and culture, restaurants and hotels and miscellaneous goods and services.
                                Note: 1. The highly urbanised states have urbanisation level of above 70%, semi-urbanised states between 55% to 69% and less urbanised states below 55%.
                                      2. Expenditure in the food and non-alcoholic beverages category includes expenditure for food away from home.
Source: 2014 Household Expenditure Survey, 2010 Population and Housing Census of Malaysia (Census 2010) and Bank Negara Malaysia estimates
                                Prices may also vary significantly across different locations. Differences in prices reflect mainly variations
                                in distribution, labour and rental costs, and relative demand and supply conditions. For example, based
                                on the state-level CPI data published by the Department of Statistics Malaysia, rental rates in the
                                more highly urbanised states are typically higher and increase at a faster rate than the less urbanised
                                states. Similarly, price increases particularly in the food and non-alcoholic beverages, restaurants and
                                hotels, education and recreation services and culture categories are also generally higher in the highly
                                urbanised states. As a result, highly urbanised states such as Kuala Lumpur, Johor, Pulau Pinang and
                                Selangor registered higher inflation rates (Table 1).
                                Household inflation rates for 2015 are derived by combining the information obtained from spending
                                patterns across income groups and the price changes across states (Table 2). The findings show that
                                                                                                                                                                                                          ANNUAL REPORT 2015
ANNUAL REPORT 2015
inflation rates do vary across households and can be materially different from the national average.
                                7
                                     Highly urbanised states are states that register urbanisation levels of above 70%. The level of urbanisation is computed in the
                                     2010 Population and Housing Census of Malaysia (Census 2010). These states include Kuala Lumpur, Selangor and Putrajaya,
                                     Pulau Pinang, Melaka and Johor.
                                8
                                     For the purpose of this article, the definition of states refers to the 13 states and three federal territories, as categorised in the
                                     HIS and HES.
                                9
                                     The less urbanised states are states that register urbanisation levels of below 55%. These states include Sabah, Sarawak,
                                     Pahang and Kelantan.
                                                                                                                                                                                                          65
                                       Table 1
ECONOMIC DEVELOPMENTS IN 2015
                                • Higher inflation rates in the highly urbanised states. The national average inflation rate was
                                  generally lower than inflation rates of households in highly urbanised states such as Kuala Lumpur,
                                  Selangor and Putrajaya, Pulau Pinang and Johor in 2015. Households in these states account for
                                  43% of the total population of Malaysia. The national average inflation rate was higher than
                                  the inflation rates experienced by households in some semi- and less urbanised states, namely
                                  Perak, Kedah, Perlis, Sabah and Sarawak. Households in these states account for 36% of the total
                                  Malaysian population.
                                • Higher inflation rates for the lower income groups across most states in Malaysia. Households
                                  in the bottom 20% of the income group experienced inflation rates that were 0.12 to 1.10 percentage
                                  points higher than households in the top 20% of the income group. For highly urbanised states,
                                  the differentials were higher, averaging 0.6 percentage point (0.4 percentage point for the less
                                  urbanised states). As the lower income groups spend a larger share of their expenditure on food, they
                                  experienced higher inflation due to the higher food inflation in 2015 (3.6%, 2014: 3.3%). The lower
                                  income groups also benefitted less from the decline in domestic fuel prices during the year given the
                                  lower share of expenditure on fuel. Thus, the lower income households living in highly urbanised states
                                  tend to experience the largest increase in their cost of living10.
                                The change in the cost of living was also assessed using the actual household expenditure data from the
                                2014 HES. Based on this analysis, aggregate household expenditure, including for financial obligations11,
                                rose at a compounded annual growth rate (CAGR) of 8.5% during the period 2010 - 2014. The higher
                                expenditure growth relative to the CAGR of CPI of 2.6% for the same period suggests that growth in
                                                                                                                                                                    ANNUAL REPORT 2015
ANNUAL REPORT 2015
                                expenditure was not only driven by higher prices, but also by an increase in the volume of consumption
                                of goods and services. The strong growth in expenditure was observed across all income groups
                                (Chart 2). Aggregate discretionary spending, in particular, rose strongly by 9.0% (Chart 4), contributed
                                mainly by higher spending on restaurants and hotels, recreational services and communication (Chart 5).
                                10
                                     This finding holds for the period 2011-2015.
                                11
                                     Financial obligations include transfer payments such as contribution to the Employee Provident Fund (EPF) and income tax
                                     payments; as well as the repayment of loans.
66
                                                                                                                                                                1
                                       Table 2
ECONOMIC DEVELOPMENTS IN 2015
MALAYSIA 2.1
                                 Note: 1. The highly urbanised states have urbanisation level of above 70%, semi-urbanised states between 55% to 69% and
                                          less urbanised states below 55%.
                                       2. While the urbanisation level is high in Labuan, its inflation rate is reported together with Sabah as the expenditure patterns and prices
                                          of goods and services in the two states are similiar.
                                       3. Household inflation rates are derived based on the share of household expenditure by category obtained from the 2014 Household
                                          Expenditiure Survey and the disaggregated state-level inflation rates.
                                 Source: 2014 Household Expenditure Survey, Department of Statistics, Malaysia and Bank Negara Malaysia estimates
                                • Dissaver households. There are households, mainly from the lower income groups, that spend more
                                  than their income.
                                                                                                                                                                                      ANNUAL REPORT 2015
ANNUAL REPORT 2015
                                • The bottom 40% of households12. Financial obligations of these households, including loan
                                  repayments, have registered relatively strong growth. Consequently, these households, who only have
                                  a relatively small amount of savings13, are vulnerable to both income and price shocks.
                                12
                                     The bottom 40% of households are households which fall under the bottom 40% of the nation’s income distribution, which
                                     is below RM3,649 based on the 2014 HIS/BA.
                                13
                                     About 28% of the bottom 40% of households do not save on a monthly basis, while 11% of them save RM100 or less a month.
                                                                                                                                                                                      67
                                        Chart 2                                                                              Chart 3
ECONOMIC DEVELOPMENTS IN 2015
10.0 10000
8.0 8,000
6.0 6,000
4.0 4,000
2.0 2,000
                                 0.0                                                                                         0
                                            Total     Bottom       21-40      41-60         61-80         Top 20                     Total    Bottom 20     21-40      41-60         61-80      Top 20
                                                        20
                                                                                                   Income percentile                                                                    Income percentile
                                Source: 2014 and 2009 Household Income and Basic Amenities Survey, 2014 and            Source: 2014 Household Income and Basic Amenities Survey, 2014
                                        2009 Household Expenditure Survey, and Bank Negara Malaysia estimates                  Household Expenditure Survey, and Bank Negara Malaysia estimates
Chart 4 Chart 5
                                12.0
                                                                                                                                                                                           Furnishings,
                                                                                                                                                                                            household
                                10.0
                                                                                                                                                                                          equipment and
                                                                                                                                                                                              routine
                                 8.0                                                                                                                                                        household
                                                                                                                                                                                           maintenance
                                 6.0                                                                                                                                                            9%
                                 4.0                                                                                   Restaurants
                                                                                                                       and hotels                                                        Communication
                                 2.0                                                                                      36%                                                               10%
                                 0.0
                                             Total      Bottom     21-40      41-60       61-80         Top 20                                              Recreational services and culture
                                                          20                                                                                                              14%
                                                                                               Income percentile
                                Source: 2014 and 2009 Household Expenditure Survey and Bank Negara Malaysia            Source: 2009 and 2014 Household Expenditure Survey and Bank Negara Malaysia
                                        estimates                                                                              estimates
                                • Households earning fixed incomes, including pensioners. While aggregate income grew at an
                                  average of 8.8%, there are segments of the total population who experienced a much lower or no
                                  income growth.
                                                                                                                                                                                                            ANNUAL REPORT 2015
ANNUAL REPORT 2015
                                The analysis has shown that the inflation rates experienced by households vary due to differences in
                                spending patterns and price changes. In particular, households in the lower income groups living in
                                highly urbanised states experienced higher inflation. At the aggregated level, the rise in the cost of
                                living, on average, has been accompanied by a commensurate increase in income. At a disaggregated
                                level, however, analysis of both income and expenditure data shows that there are segments of the
                                society that are vulnerable to the increase in the cost of living, and these are households who dissaved;
                                the bottom 40% of households; and households earning fixed incomes.
68
                                Conclusion
                                In addressing the issue of the rising cost of living, the policy approach must be multi-dimensional,
ECONOMIC DEVELOPMENTS IN 2015
                                References
                                Boskin M J, E R Dulberger, R J Gordon, Z Griliches, D W Jorgensen (1998). `Consumer Prices, the
                                Consumer Price Index, and the Cost of Living´, Journal of Economic Perspectives, Vol 12, No 1.
Department of Statistics, Malaysia (2014). `Household Income and Basic Amenities Survey´.
Department of Statistics, Malaysia (2009). `Household Income and Basic Amenities Survey´.
                                Jacobs D, Perera D, Williams T (2014). `Inflation and the Cost of Living´, Reserve Bank of Australia
                                Bulletin (March Quarter).
                                Phillips B, J Li, M Taylor (2012). `Prices These Days! The Cost of Living in Australia´, AMP.NATSEM
                                Income and Wealth Report, Issue 31, May, Sydney, AMP.
                                Schultze C, Mackie C (Eds.) (2002). `At What Price?: Conceptualizing and Measuring Cost-of-Living
                                and Price Indexes, Panel on Conceptual, Measurement, and Other Statistical Issues in Developing
                                Cost-of-Living Indexes´, Committee on National Statistics, Division of Behavioral and Social Sciences
                                and Education, National Research Council, National Academy Press, Washington D.C.
                                                                                                                                           69
                                                           The Impact of Exchange Rate Depreciation on Inflation in Malaysia
ECONOMIC DEVELOPMENTS IN 2015
                                This article is divided into two parts. The first part presents findings from estimations of the exchange
                                rate pass-through (ERPT) to inflation in Malaysia and the second part provides insights on why inflation
                                could be high in certain episodes of exchange rate depreciation but low in others.
Chart 1
Headline inflation
                                8                                                         RM/USD (RHS)                                                                                                    40
                                                                                          NEER against import partners (RHS)
6 30
4 20
2 10
0 0
-2 -10
                                -4                                                                                                                                                                        -20
                                      1995
1996
1997
1998
1999
2000
2001
2002
2003
2004
2005
2006
2007
2008
2009
2010
2011
2012
2013
2014
2015
                                Note: The nominal effective exchange rate (NEER) against import partners is calculated based on the weighted average of the bilateral exchange rates against
                                      Malaysia’s top 15 import partners. A positive figure indicates a depreciation in the ringgit against Malaysia’s main import partners relative to the year before.
indirect channel via imported inputs in the production chain (Diagram 1)1.
                                (i) Direct channel. Fluctuations in the exchange rate directly impact prices of imported finished goods.
                                    The depreciation of the ringgit, against the currencies of Malaysia’s import partners, increases the
                                    costs of importing finished goods from these economies.
                                1
                                     In this article, CPI refers to the Consumer Price Index, CPI-Import is the imported finished goods component of CPI excluding
                                     fuel, PPI is Producer Price Index, PPI-Import is the imported component of PPI, and PPI-Local is the domestic component of PPI.
70
                                (ii) Indirect channel. Exchange rate movements affect input costs of firms that use imported inputs
                                     in the production of local goods and services. These imported inputs could be in the form of raw
ECONOMIC DEVELOPMENTS IN 2015
                                In addition, prices of goods and services that are affected by movements of the exchange rate, through
                                either one or both of the channels, could have spillover effects on prices of other goods and services in
                                the CPI. This can consequently lead to a general increase in prices2.
Diagram 1
                                                            direct
                                                                                                                    Fuel products in CPI
                                                                                                                • 8.7% of CPI
                                                                                                                • Depends on global oil prices and ER
                                                            direct
                                                                                                                 Imported finished goods
                                     Exchange rate                                                                        in CPI                                               CPI
                                          (ER)                                                                                                                              Inflation
                                                                                                                                                        Spillover effects
                                                                                                                                                         to other prices
                                                                                                                • 7.2% of CPI
                                                                                                                • Depends on global inflation and ER
                                                           indirect
                                                                                                                  Local finished goods and
                                                                               Imported inputs in PPI
                                                                                                                        services in CPI
                                The conceptual relationship between exchange rate movements and inflation is illustrated in Chart 2
                                where depreciation has an inflationary impact while appreciation has a disinflationary impact. The impact
                                of changes in the exchange rate on inflation can differ in strength between periods of appreciation
                                and depreciation3. This asymmetry arises because firms typically react more to pass on the increases in
                                the cost of imports to consumer prices following an exchange rate depreciation but firms tend to be
                                less responsive when there is a reduction in costs due to an exchange rate appreciation. In addition,
                                should exchange rate depreciation exceed a certain threshold, firms can change their behaviour
                                significantly, resulting in a larger impact on inflation.
                                Using historical data over the last two decades, a scatter plot shows a weak positive relationship
                                between the exchange rate4 and inflation (Chart 3). This suggests that changes in the exchange rate
                                may have a small impact on domestic inflation. Applying standard methodologies from the literature,
                                the ERPT was empirically estimated5 using the nominal effective exchange rate (NEER) with quarterly
                                data from 1995 to 2015. The results are summarised as follows:
                                2
                                    Changes in the exchange rate could also affect domestic inflation indirectly through the substitution effect. If the exchange
                                                                                                                                                                                        ANNUAL REPORT 2015
ANNUAL REPORT 2015
                                    rate depreciation makes imported goods more expensive, consumers may switch to domestic products and this can exert
                                    upward pressures on prices of domestically produced goods. In addition, the depreciation could also lead to higher demand
                                    for exports and result in stronger aggregate demand that can create inflationary pressures.
                                3
                                    Pricing strategies of firms tend to be different during periods of depreciation and appreciation, which will determine the
                                    asymmetric effects of exchange rate pass-through to inflation. Inflationary impact during depreciation tends to be larger in
                                    size compared to the disinflationary impact during appreciation.
                                4
                                    Unless otherwise stated, the exchange rate in this article refers to the nominal effective exchange rate (NEER).
                                5
                                    The empirical specification follows a linear Phillips curve equation, which controls for lagged inflation, global commodity
                                    prices and the output gap. The estimations are carried out using the NEER and results are robust for the nominal bilateral
                                    exchange rate (RM/USD).
                                                                                                                                                                                        71
                                              Chart 2                                                                                  Chart 3
ECONOMIC DEVELOPMENTS IN 2015
                                                                                                                                 Depreciation
                                                                            Some                 threshold                                      20
                                                                            inflationary
                                                                            impact from                                                         15
                                                                            depreciation                     Inflation
                                                                                                                                                10
                                    Appreciation
                                                                                           High inflation                                        5
                                                          Some
                                                          disinflationary                                                                        0
                                                                                                                                                      0   1   2      3         4         5          6        7
                                                                                                                                 Appreciation
                                                          impact from
                                                          appreciation                                                                           -5
                                                                                                                                                -10
                                                                                                                                                                                             Core inflation,
                                                                                                                                                                                             Annual change (%)
                                                                                                                                                -15
Source: Bank Negara Malaysia Source: Department of Statistics, Malaysia, Bloomberg and Bank Negara Malaysia
Chart 4 Chart 5
                                Import Content of CPI Items and Their Price                                                    Exchange Rate Changes and Inflation
                                Sensitivity to Exchange Rate Changes                                                           NEER,
                                Sensitivity (%)                                                                                Annual change (%)
                                0.30
                                                                                                                                                 8
                                0.25
                                                                                                                                                 6
                                                                                                                                 Depreciation
                                0.20
                                                                                                                                                 4
0.15 2
                                0.10                                                                                                             0
                                                                                                                                                          1   2      3         4         5          6          7
                                0.05                                                                                                            -2                                               Core inflation,
                                                                                                                                 Appreciation
                                Source: Department of Statistics, Malaysia, Bloomberg and Bank Negara Malaysia                 Source: Department of Statistics, Malaysia, Bloomberg and Bank Negara Malaysia
                                        estimates                                                                                      estimates
                                (i) Exchange rate pass-through to core inflation is low. A 10% depreciation in the exchange rate is
                                    associated with an increase in core inflation between 0.2% and 0.6%6. Over time, the degree of ERPT
                                    has remained low and relatively stable7.
                                (ii) Analysis of disaggregated CPI data shows no significant positive relationship between
                                     import content and sensitivity8 to the exchange rate. Conventional wisdom suggests that prices
                                                                                                                                                                                                                   ANNUAL REPORT 2015
ANNUAL REPORT 2015
of items with higher import content would be more sensitive to exchange rate changes compared
                                6
                                    The range refers to short-run ERPT. Variations in the estimates of pass-through arise from different specifications of the
                                    estimating equation (e.g. number of lags for inflation, number of lags for exchange rate and the number of control variables,
                                    such as demand conditions, and their lags).
                                7
                                    The ERPT remained stable when comparing two sample periods, 1995-2002 against 2003-2015. Mihaljek and Klau (2008)
                                    also conclude that the ERPT in Malaysia has been low and stable when comparing two sample periods, 1994-2000 against
                                    1994-2006.
                                8
                                    Sensitivity refers to the degree of ERPT for the individual CPI items at the 4-digit level.
72
                                      to items with lower import content. The scatter plot (Chart 4), however, shows that this relationship
                                      is weak9. Examining the individual items of the CPI basket shows that most goods and services
                                      have moderate import content10 and estimations of the ERPT for these items indicate that a 10%
                                      depreciation is associated with higher inflation of at most 3%.
                                (iii) Analysis by stage of processing using disaggregated PPI data suggests that exchange rate
                                      pass-through via the indirect channel is also low and incomplete. The ERPT is estimated at two
                                      different stages of the production chain, which begins at the firm level and ends at the consumer
                                      level (Diagram 2). At the first stage of the production chain, the ERPT to input costs is estimated to be
                                      low and incomplete, whereby a 10% change in the exchange rate is associated with a 1.3% change
                                      in the costs of imported raw and intermediate inputs. At the second stage, the pass-through from
                                      input prices to consumer prices is even smaller, whereby a 10% increase in input prices leads to an
                                      increase in prices of consumer goods by only 0.4%.
Diagram 2
                                Exchange Rate, Global Commodity Prices and Prices Along the Production Chain
                                                         Strong pass-through (STAGE 1)                                                       Weak pass-through (STAGE 2)
                                     Exchange rate
                                                                                                            Rental & machinery
                                         (9.3%)                      Prices of imported raw                                                                   Firms’ market structure
                                                                         and intermediate
                                                                             materials                    Imported inputs, which
                                                                              (0.6%)                      is 22% of total cost                  Consumer goods, at               Consumer goods,
                                    Global commodity                                                                                              producer level                   at retail level
                                          prices                                                                                                     (1.3%)                             (2.6%)
                                       (–32.2%)                                                            Local inputs, which is
                                                                                                           44% of total cost
                                Note: Numbers in the parenthesis () represent the average of the annual change in the variables during the depreciation episode between October 2014 and December 2015.
                                      For local commodity prices, data is from October 2014 to September 2015.
Source: Department of Statistics, Malaysia, International Monetary Fund (IMF), Bloomberg and Bank Negara Malaysia estimates
                                (iv) Exchange rate depreciation and appreciation have asymmetric impact on inflation. It is
                                     important to note that estimations of the ERPT capture both periods of depreciation and appreciation.
                                     Studies, however, have shown that the size of the impact on inflation tends to be larger during periods of
                                     depreciation compared to periods of appreciation. The asymmetric relationship between exchange
                                     rate changes and inflation (as conceptually illustrated in Chart 2) is also observed in the Malaysian
                                     data (Chart 5)11. Empirical estimations to distinguish ERPT during depreciation and appreciation episodes
                                     in Malaysia show that ERPT is indeed larger during periods of depreciation.
                                (v) Lack of robust evidence to suggest threshold effects between exchange rate depreciation
                                    and inflation. Firms tend to absorb the initial increase in costs if they view the depreciation as small
                                    or transitory. As the exchange rate depreciation becomes prolonged and exceeds a certain threshold,
                                    firms may change their price-setting behaviour. At this stage, price sensitivity to the exchange rate
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ANNUAL REPORT 2015
                                    depreciation may also increase disproportionately. In the case of Malaysia, however, threshold effects are
                                    not conclusively observed. Evidence of threshold effects would indicate that as the size of the exchange
                                    rate depreciation becomes larger, inflation would also increase at a much faster pace and to some extent
                                9
                                     This follows from Forbes (2015). In addition, Choudhri and Hakura (2006) and Aron, MacDonald and Muellbauer (2014) find
                                     no significant link between ERPT and openness (import-to-GDP ratio, import dependence and number of importers).
                                10
                                     Source: Input-Output Tables 2010 for Malaysia. Most items in the CPI basket have import content less than 40%.
                                11
                                     The data fits a logarithmic trendline as the rising rate of change in the exchange rate coincides with higher inflation.
                                                                                                                                                                                                          73
                                        Chart 6                                                                           Chart 7
ECONOMIC DEVELOPMENTS IN 2015
                                2.5                                                                              -2
                                                                                                                 -3
                                2.0
                                                                                                                 -4
                                1.5
                                                                                                                 -5
                                1.0                                                                                   J   F M A M J        J    A S O N D J       F M A M J        J   A S O N D
                                                                                                                                         2014                                   2015
                                0.5
                                Source: Department of Statistics, Malaysia, Bloomberg and                        Source: Ministry of Domestic Trade, Co-operatives and Consumerism,
                                        Bank Negara Malaysia estimates                                                   Department of Statistics, Malaysia, Bloomberg and Bank Negara Malaysia
                                                                                                                         estimates
                                       non-linearly. Chart 6 shows that core inflation in Malaysia remained stable, averaging close to 2% when
                                       the exchange rate depreciation was below 6%. As the exchange rate depreciation exceeded 6%, core
                                       inflation edged up to average at 3.6%. This, however, was driven mainly by data in the period 1997-
                                       1998. Although this observation may seemingly indicate some threshold effects, empirical estimations12
                                       suggest that the results are not statistically significant. This could be primarily due to the fact that from
                                       the sample data, Malaysia has limited experience of both high inflation and large exchange
                                       rate depreciation.
                                In summary, the degree of ERPT has remained relatively low in Malaysia. This is consistent with a previous
                                study13 by the Bank in 2011 and general findings for Malaysia in the literature. The low ERPT can be
                                attributed to the following factors:
                                • Presence of administered-price policies. About 17.5% of the items in the CPI basket are subject to
                                  administered-price policies14. The Government also implements other measures to ensure price increases
                                  are not excessive. These measures include the issuance of more import permits to increase food supplies
                                  during periods of shortages, price reduction campaigns and the enforcement of the Price Control and
                                  Anti-Profiteering Act 2011.
                                  – This for example has resulted in low sensitivity of fuel inflation to global oil prices and the exchange
                                     rate. Prior to December 2014, domestic fuel prices were classified as one of the price-administered
                                     items. While fuel for domestic consumption is primarily imported from abroad, their prices were not
                                     sensitive to changes in global oil prices and the exchange rate due to the presence of fuel subsidies.
                                     This contained the ERPT to inflation. It is, however, important to note that since the removal of the fuel
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                                12
                                      Estimations are based on threshold regressions from Hansen (1999 and 2000) where the Phillips curve equation is estimated
                                      for a series of exchange rate changes that could reflect potential threshold effects.
                                13
                                      See Box Article on ``Impact of Ringgit Appreciation on Import Prices and Inflation´´ in BNM Annual Report 2011.
                                14
                                      The pricing mechanisms of administered items in the CPI are mainly governed by the Price Control and Anti-Profiteering Act
                                      2011, which replaced the Price Control Act 1946. In general, there are two types of price-administered items in the CPI. The
                                      first comprises items where the Government determines the retail prices for these goods. Examples include flour and cooking oil,
                                      which are also subsidised by the Government. The second comprises items that require Government approval for changes to
                                      be made on their prices. Examples include cigarettes, electricity tariffs and public transport fares. With the administered-price
                                      mechanisms in place, the impact of shocks on domestic prices is smaller, less direct and less immediate.
74
                                         subsidies and the implementation of the managed-float pricing mechanism for fuel prices in December
                                         2014, movements in both global oil prices and the exchange rate have had a more direct and faster
ECONOMIC DEVELOPMENTS IN 2015
                                • Limited import content. Imported finished goods captured in CPI-Import have a low share in the
                                  consumption basket of the average household (7.2%). From the supply side, based on the Input-Output
                                  Tables 2010 for Malaysia, intermediate imported inputs account for about 20% of total gross output
                                  and PPI-Import accounts for 33% of the total PPI basket. Hence, the limited dependency on imports
                                  contributes, in part, to the low ERPT to domestic prices.
                                • Pricing-to-market. Price-setting behaviour of firms is greatly influenced by global and domestic market
                                  structures. These factors include the degree of competition, product differentiation and substitutability,
                                  and the strategic reactions of other firms. Increased competition, due to greater globalisation and
                                  liberalisation of markets, has generally increased the elasticity of demand and supply and, in turn,
                                  lowered the pricing power of firms. Hence, in response to higher costs amid exchange rate depreciation,
                                  firms tend to absorb the higher costs by varying their profit margins or improving cost management
                                  by increasing efficiency or switching to cheaper substitutes. In assessing the impact of these factors,
                                  anecdotal evidence in Malaysia suggests that firms tend to typically wait for at least six months to assess
                                  the strength of demand before reviewing their prices, and either adjust their profit margins or pass on
                                  the higher costs. However, some retailers, notably importers of finished goods, tend to fully pass on the
                                  higher costs to consumer prices if there are no local substitutes.
                                Analysing the stylised facts recorded during these episodes highlights that the final overall impact on inflation
                                has to be assessed with consideration to other important factors beyond the ERPT. These factors include the
                                trajectory of the exchange rate depreciation, and other determinants of inflation such as global commodity
                                prices and domestic demand conditions. In the Malaysian experience, these other factors are certainly pivotal
                                in determining the inflationary impact on the economy, which can be clearly contrasted between these
                                depreciation episodes. In particular, during these two episodes there were some ERPT but the mitigating
                                factors in the current episode, namely the prolonged decline in global commodity prices, played a more
                                significant role in containing the overall impact on inflation.
                                April 1997 - December 1998: Sharp ringgit depreciation caused a spike in import costs and led
                                to an acceleration in inflation
                                During this period, the NEER depreciated by an average of 13.1%16. The depreciation trajectory was
                                sudden and steep amid large and sharp fluctuations in the exchange rate. Globally, commodity prices
                                were also on a declining trend, but at a more modest pace compared to the more recent period. While
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                                domestic demand conditions weakened as the economy contracted sharply following the adverse
                                impact from the AFC, there was notable evidence of demand-driven inflationary pressures at the onset
                                15
                                     The net impact on inflation would, however, depend on the magnitude and direction of the changes in both global oil prices
                                     and the exchange rate. See Chart 7.
                                16
                                     Between April 1997 and December 1998, the NEER had depreciated by 31.9%. The depreciation of 13.1% refers to the
                                     average of annual change in the NEER on a monthly basis, which is used as a like-for-like comparison against inflation.
                                     Inflation is also measured in a similar manner.
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                                       Table 1
ECONOMIC DEVELOPMENTS IN 2015
                                1
                                     With the exception of output gap, petrol and diesel prices, all other indicators refer to average of the annual change during the period. Output
                                     gap captures the average deviation of actual output from potential output during the period. Prices for RON95 petrol and diesel refer to the
                                     average prices during the period.
                                2
                                     Core CPI inflation attempts to measure the underlying inflation. It is computed by excluding price-volatile and price-administered items whose
                                     price movements are more likely affected by temporary shocks and volatile supply factors rather than persistent changes in underlying factors
                                     affecting demand and supply conditions. In addition, core inflation also excludes the estimated direct impact of GST.
                                3
                                     Output gap captures the percentage deviation of actual output from potential output, which is an estimate of the highest level of output that
                                     an economy is capable of producing in a non-inflationary environment.
                                4
                                     The nominal effective exchange rate (NEER) against import partners is calculated based on the weighted average of the bilateral exchange rates
                                     against Malaysia’s top 15 import partners. A positive figure indicates a depreciation in the ringgit against Malaysia’s import partners relative
                                     to the year before.
                                5
                                     Global CPI inflation refers to the aggregate inflation of Malaysia’s top 15 import partners, weighted by the share of imports from these economies.
                                Source: Ministry of Domestic Trade, Co-operatives and Consumerism, Department of Statistics, Malaysia, International Monetary Fund (IMF),
                                        Bloomberg and Bank Negara Malaysia estimates
                                of the crisis. In particular, there was a large positive output gap that was reflected in labour market
                                tightness, strong import growth and supply bottlenecks17. Together with the sharp ringgit depreciation,
                                the domestic developments created a substantial spike in the cost of imports over a short interval of
                                time and these were quickly passed on to consumer prices. Specifically, these factors precipitated the
                                marked increase in the prices of imported finished goods (CPI-Import), which accelerated by 9.1% in
                                1998 (1997: 1.8%) and prices of imported inputs (PPI-Import), which surged by 9.3% (1997: 2.8%).
                                The quick and sharp rise in the cost of imports also showed that the moderate decline in commodity prices
                                was insufficient to offset the inflationary impact from the large and sharp ringgit depreciation. As a result,
                                headline inflation increased significantly from 2.1% in July 1997 to peak at 6.2% in June 1998 (averaging
                                5.3% in 1998). Both headline and core inflation remained persistently above 4% throughout 1998.
                                In comparison to the AFC, the current depreciation episode differs in two ways: the magnitude of the
                                depreciation was relatively more modest, as the NEER depreciated by an average of 9.3%18 during the
                                period, and the depreciation trajectory was in fact more gradual and persistent with smaller fluctuations
                                17
                                     See BNM Annual Report 1997 and 1998 for details.
                                18
                                     Between October 2014 and December 2015, the NEER had depreciated by 20.5%. The depreciation of 9.3% refers
                                     to the average of annual change in the exchange rate on a monthly basis, which is used as a like-for-like comparison
                                     against inflation. Inflation is also measured in a similar manner.
76
                                in the exchange rate. The depreciation did cause CPI-Import19 to increase by 3.0% in 2015 but the overall
                                impact on inflation was offset by the drop in fuel prices of 9.0%. Of importance, the large decline of
ECONOMIC DEVELOPMENTS IN 2015
                                Conclusion
                                Analyses of data in the past two decades suggest that the exchange rate pass-through to inflation
                                has generally been low in Malaysia. The low degree of pass-through is due mainly to the prevalence
                                of administered prices in the CPI, moderate dependency on imported goods and pricing-to-market
                                by firms. While the pass-through is generally low, the 1997-1998 experience shows that exchange
                                rate depreciation can be accompanied by substantial changes in inflation. In the more recent period,
                                however, inflationary pressures have remained moderate despite the persistent depreciation. This is
                                mainly on account of the offsetting impact from the large decline in global oil and commodity prices.
                                Going forward, the changing economic landscape following reforms towards more market-based pricing
                                could change the inflation dynamics in Malaysia. Since 2010, there has been a gradual removal of subsidies
                                from key necessities including food items, fuel products and utilities. Of note are the adjustments that have
                                impacted the price-setting behaviour of firms, namely the minimum wage policy in 2013 and market-based
                                pricing mechanism for fuel products in 2014. These changes could lead to greater flexibility of domestic
                                prices, which in turn could make firms more responsive not only to changes in the exchange rate but also to
                                global prices.
                                References
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                                Annual Report Box Article.
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                                Caselli, F. and Roitman, A. (2016). `Non-linear exchange rate pass-through in emerging markets´. IMF
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                                19
                                     In the breakdown for CPI-Import, prices of food and non-food components rose from 2.0% and -0.8% respectively in
                                     December 2014 to reach 7.5% and 1.5% in December 2015.
                                20
                                     Represents average annual change during the period for the IMF Primary Commodity Price Index.
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