1.1 Population
1.1 Population
                                                      3
4 Introduction
developed countries. Whatever the reason for          areas of interest of the classical economists. Adam
neglect, the situation today is very different. The   Smith, David Ricardo, Thomas Malthus, John
development of the Third World (the collective        Stuart Mill and Karl Marx all dealt at some length
name for the developing countries), meaning           (with divergent opinions on many issues) with the
above all the eradication of primary poverty, is      causes and consequences of economic advance. It
now regarded as one of the greatest social and        is entirely natural that thinkers of the day should
economic challenges facing mankind.                   comment on the contemporary scene, and there is
   What accounts for this change in attitude and      perhaps an analogy here between the preoccupa-
upsurge of interest in the economics of develop-      tion of the classical economists at the time of
ment and in the economies of poor countries? A        Britain's industrial revolution and the concern
number of factors can be pinpointed, which inter-     of many economists today with the economics of
relate with each other. First, in the wake of the     development and world poverty, the nature of
great depression and in the aftermath of war there    which has been brought to the attention of the
was a renewed academic interest among pro-            world so dramatically in recent decades. Develop-
fessional economists in the growth and develop-       ment also represents a challenge equivalent to that
ment process and in the theory and practice of        of depression and mass unemployment in the
planning. Second, the poor countries themselves       1930s which attracted so many brilliant minds to
have become increasingly aware of their own           economics, Keynes among them. But the nature of
backwardness, which has led to a natural desire       the challenge is of course very different. In the case
for more rapid economic progress. The absolute        of unemployment in the 1930s, there was an or-
numbers of poor people are considerably greater       thodox theory with which to grapple; the task was
now than in the past, which has struck a humani-      to formulate a theory to fit the facts and to offer
tarian chord. Third, there has been a growing         policy prescriptions. As it turned out, the solution
recognition by all concerned of the mutual inter-     to the problem was to be costless: expand demand
dependence of the world economy. The political        by creating credit and bring idle resources into
and military ramifications and dangers of a world     play. Fancy, an economic problem solved costless-
divided into rich and poor countries are far more     ly! The challenge of development is very different.
serious now than they were in the past; at the same   There is no divorce between theory and the
time the old Cold War led the major developed         observed facts. The mainsprings of growth and
countries to show a growing economic and politi-      development are well known: increases in the
cal interest in poor and ideologically uncommitted    quantity and quality of resources of all kinds.
nations. The recognition of interdependence has        Countries are poor because they lack resources or
been heightened in recent years by fears of short-    the willingness and ability to bring them into use.
ages of basic raw materials produced primarily in     The problems posed by underdevelopment cannot
Third World countries, and by the rising price of      be solved costlessly. It would be reassuring to
oil.                                                   think, however, that advances in growth theory,
                                                       coupled with more detailed knowledge of the
I   Academic Interest in
    Development
                                                      sources of growth, and the refinement of tech-
                                                       niques for planning and resource allocation, have
                                                       all increased the possibility of more rapid econ-
                                                       omic progress than hitherto. Certainly particular
Academic interest in the mechanics of growth ~nd       theoretical models and techniques have been used
development is a renewed interest rather than a        extensively in some countries, presumably in this
new preoccupation of economists. The progress          belief. For example, models for calculating invest-
and material well-being of men and nations have        ment requirements to achieve a target rate of
traditionally been at the centre of economic writ-     growth invariably form an integral part of a devel-
ing and enquiry. It constituted one of the major       opment plan, and in some countries there have
                                                                   Development and Underdevelopment          5
been experiments in recent years with such tech-          stage of development one hundred years ago. The
niques as input-output analysis, for the achieve-         pool of technology on which to draw, and the
ment of sectoral balance and the avoidance of             scope for its assimilation, is enormous. Used with
bottlenecks, and linear programming for the               discretion, it must be considered as the main
achievement of efficient resource allocation.             means of increasing welfare. The role of trade,
   The question is often posed as to what lessons,        however, is more problematic. A lot will depend
if any, the present developing countries can draw         on how rapidly the developing countries can alter
from the first-hand observations of the classical         their industrial structure and on movements in the
writers, or more directly from the development            terms of trade. Currently the developing countries
experience of the present advanced nations. One           are probably in an inferior position compared
obvious lesson is that while development can be           with the present advanced countries at a compar-
regarded as a natural phenomenon, it is also a            able stage of their economic history. The dynamic
lengthy process, at least left to itself. It is easy to   gains from trade are present but the static ef-
forget that it took Europe the best part of three         ficiency gains are less and the terms of trade in
centuries to progress from a subsistence state to         most commodities are worse. The gains from trade
economic maturity. Much of development econ-              accrue mainly to the rich industrialised countries,
omics is concerned with the time scale of devel-          notwithstanding the rapid increase that period-
opment, and how to speed up the process of                ically takes place in some commodity prices. The
development without causing problems as acute             fact that the gains from trade are unequally dis-
and worrisome as the primary poverty it is desired        tributed does not destroy, of course, the potential
to alleviate. In the next millennium, when primary        link between trade and growth, or constitute an
poverty in most countries will, it is hoped, have         argument against trade. Rather, it represents a
been eradicated, courses in development econ-             challenge for altering the structure of trade and the
omics will undoubtedly take a different form. The         terms on which it takes place.
emphasis will be on inter-country comparisons,                The greater knowledge and acceptance of plan-
rather than on the process of development as such         ning may also mean that the development experi-
and the growth pains accompanying the transition          ence of the present developing countries will be
from a primarily agrarian to an industrial economy.       less protracted and painful than in the past. Plan-
    As far as classical theory is concerned, the gloomy   ning can potentially mobilise the prerequisites of
prognostication of Ricardo, Malthus and Mill that         development more expeditiously than the market
progress will end ultimately in stagnation would          mechanism, which takes time to operate, and pro-
seem to be unfounded. It has certainly been con-          vided attention is paid to income distribution, the
founded by experience. Population growth and              sum total of sacrifice of present generations need
diminishing returns have not been uniformly de-           be no more severe per individual. Classical econ-
pressive to the extent that Ricardo and Malthus           omists were generally antithetical to interference
supposed. Rising productivity and per capita in-          with the market mechanism, believing that the free
comes appear quite compatible with the growth             play of market forces would maximise the social
of population and the extension of agriculture.           good. But fashions change in economics, and after
Classical development economics greatly under-            the Second World War, there was a much greater
estimated the beneficient role of technical progress      acceptance of interference with the market mech-
and international trade in the development pro-           anism, and planning in developing countries was
cess. It is these two factors above all which seem to     seen by many as one of the main means by which
have confounded the pessimism of much of classi-          development may be accelerated. The experience
cal theory. With access to superior technology            of planning in many countries, however, has not
there is hope, and some evidence, that material           been favourable, and planning has come into dis-
progress in today's developing countries will be          repute, not the least because of the economic
much more rapid than in countries at a similar            disarray of the rigidly planned economies of the
6   Introduction
old Soviet Union and Eastern Europe. It should         oped nations, and has been strengthened from
never be forgotten, however, that no country in        within by rising expectations as development has
the world made such swift economic advance in          proceeded. Development is wanted to provide
such a short space of time as the Soviet Union after   people with the basic necessities of life, for their
1918, through the planned allocation of resources      own sake, and to provide a degree of self-esteem
which favoured investment at the expense of con-       and freedom for people which is precluded by
sumption. The fact that planning may be operated       poverty. Wealth and material possessions may not
too rigidly, or for too long and go wrong, should      provide greater happiness but they widen the
not be allowed to obscure the fact that it also has    choice of individuals, which is an important aspect
merits, and that unfettered free enterprise can also   of freedom and welfare. The developing countries
lead to economic disaster and social deprivation.      in recent years have shown a marked determina-
What is required in most developing countries is a     tion to pull themselves up by theif own bootstraps
judicious mix of public and private enterprise, of     assisted, in the words of Professor Hicks, 'by such
the use of markets combined with different types       crumbs of aid as the richer countries are willing to
of planning, for the maximisation of social            spare, and as they themselves are willing to accept'
welfare.                                               (1966, p. 263). They have also called for a fairer
   Planning requires a certain amount of model-        deal from the functioning of the world economy
building and this, too, has been inspired by econ-     which they view, with some justification, as biased
omists. The most common type of model, which           in favour of countries already rich.
forms the basis of much of the model-building that         The official call for a New International Econ-
developing countries indulge in, is to calculate the   omic Order was originated by the Sixth Special
investment requirements necessary to achieve a         Session of the United Nations General Assembly in
target rate of growth of per capita income - com-      1974. The United Nations pledged itself 'to work
monly referred to as a Harrod-Damar model.             urgently for the establishment of a new inter-
Neither the models of Harrod (1948) or Domar           national economic order based on equity, sovereign
(1947) were designed for the purpose to which          equality, common interest and cooperation among
they are now put in developing countries, but their    all States, irrespective of their economic and social
growth equations have proved to be an indispens-       systems, which shall correct inequalities and re-
able component of macro-economic planning. We          dress existing injustices, make it possible to elimin-
shall consider later the strengths and weaknesses      ate the widening gap between the developed and
of using this type of aggregate model in develop-      the developing countries and ensure steadily accel-
ment planning, and the pros and cons of planning       erating economic and social development and
in general.                                            peace and justice for present and future genera-
                                                       tions.' The programme of action called for such
                                                       things as: improved terms of trade for the exports
duced the Lima Declaration which set a target for       trade and the balance of payments. There exists an
the developing countries to secure a 25 per cent        interdependence in the world economy such that
share of world manufacturing production by the          the malfunctioning of one set of economies im-
year 2000 compared with the share then of 10 per        pairs the functioning of others. This was no more
cent (and a present share of 15 per cent). This         evident than in the world economy in the 1980s
target will not be achieved since it requires a         which, owing to the rising price of energy and the
growth of manufacturing of 10 per cent per an-          debt crisis, displayed mounting economic chaos.
num in developing countries compared with 5 per         The 1980 Brandt Report, entitled North-South: A
cent in developed countries, which is 3 per cent        Programme for Survival (1980), and its sequel
more than achieved from 1965 to 1990. On the            Common Crisis (1983), stressed the mutual be-
monetary front, in 1980 there was the Arusha            nefit to all countries from a sustained programme
Declaration which demanded a UN Conference on           of development in the Third World, and docu-
International Money and Finance to create a new         mented the current adverse trends in the world
international monetary order 'capable of achiev-        economy which pointed to a sombre future if not
ing monetary stability, restoring acceptable levels     tackled co-operatively: growing poverty and hunger
of employment and sustainable growth' and 'sup-         in the Third World; rising unemployment with infla-
portive of a process of global development'. And        tion; international monetary disorder; chronic
at the 7th Session ofUNCTAD in Geneva in 1987,          balance of payments deficits and mounting debts
policy approaches were called for in four major         in most Third World countries; protectionism,
areas: debt and development resources; commodi-         and tensions between countries competing for
ties; international trade; and the problems of the      energy, food and raw materials. Development
least developed countries.                              economics addresses itself to many of the issues
                                                        contributing to disarray in the world economy.
                                                           There is not only a moral case for greater efforts
   The Brandt Report called for a short-term emerg-              economic and political harmony which cannot
ency programme as a prelude to longer-term ac-                   thrive in a world perpetually divided into rich and
tion, consisting of four major elements: a large                 poor. There has also been an affirmation by many
scale transfer of resources to developing countries;             developed countries of a moral obligation towards
an international energy strategy to minimise the                 poorer nations. Not all aid and development as-
dislocation caused by sudden and rapid increases                 sistance is politically inspired. Particularly over the
in the price of oil; a global food programme; and a              last three decades, the developed countries have
start on some major reforms in the international                 shown a genuine humanitarian concern over the
monetary system. Very little has been done.                      plight of Third World countries, which has
   In the longer term, the Brandt Report called for:             resulted in the establishment and support of sev-
a twenty-year programme to meet the basic needs                  eral institutions to assist developing countries, and
of poor countries, involving additional resource                 which led the period 1960-70 to be named the
transfers of $4 billion a year; a major effort to                First Development Decade. We are now in the
improve agricultural productivity to end mass                    Fourth Development Decade, and the pledge to
hunger and malnutrition; commodity schemes to                    assist developing countries out of humanitarian
stabilise the terms of trade for primary commodi-                concern has been reaffirmed. The goal of a greater
ties; easier access to world markets for the exports             degree of income equality between the citizens of a
of developing countries; programmes for energy                   nation seems to be gaining support, albeit slowly,
conservation; the development of more appropri-                  as an objective among nations. Moreover, the
ate technologies for poor countries; an inter-                   propagation of this ideal is not confined to the
national progressive income tax, and levies on                   supranational institutions that have been es-
trade and arms production, to be used by a new                   pecially established to further it. Recent years have
World Development Fund (to fund development                      witnessed the spontaneous creation of several
programmes rather than projects); a link between                 national pressure groups, in different parts of the
the creation of new international money and aid to               world, whose platform is the abolition of world
developing countries, and policies to recycle                    poverty; and the Church, which remained silent
balance-of-payments surpluses (as accumulated by                 and inactive for so long, periodically makes its
the Arab oil export countries since 1973, for                    voice heard. Aid from voluntary agencies to devel-
example) to deficit countries to remove balance-                 oping countries now amounts to over $3.5 billion
of-payments constraints on demand and to                         annually. But whatever the motive for concern, the
remove the risk of a slide into international protec-            reality of world poverty and underdevelopment
tionism. Many of these issues we shall be discuss-               cannot be ignored. Furthermore, primary poverty
ing in the course of this book. 1 Such a programme               in developing countries is likely to persist for many
would be of mutual benefit to all parties, rich and              years in the future. The economist has a special
poor. It would create investment confidence,                     responsibility to contribute to an understanding of
which is the crucial ingredient maintaining the                  the economic difficulties which poor countries face
dynamics of any economic system; it would                        and to point to possible solutions. This is a text-
stimulate trade and investment, and help the pros-               book devoted to that end. Let us start by consider-
pects of sustained growth in the world economy.                  ing the meaning of development and establishing
   It would be wrong to give the impression, how-                the magnitude of poverty and of economic div-
ever, that the developed countries' concern with                 isions in the world as precisely as the data will
world poverty is motivated exclusively by the selfish            allow. Then we shall focus on conditions within
realisation that their own survival depends on                   the developing countries, particularly the employ-
                                                                 ment situation, the income distribution, the level
1 For a discussion and appraisal of the Brandt Report, see the
                                                                 of nutrition, and other basic needs.
collection of articles in Third World Quarterly, October 1980,
and Kirkpatrick and Nixson (1981).
                                                                   Development and Underdevelopment 9
the assumptions that underly conventional econ-             foremost importance. It was, first of all, settled
omic models have to be abandoned if they are to             agriculture that laid the basis for the great civilisa-
yield fruitful insights into the development pro-          tions in the past, and it was the increase in agricul-
cess. Static equilibrium theory, for example, is           tural productivity in England in the eighteenth
ill-suited for the analysis of growth and change            century that laid the basis for, and sustained, the
and of growing inequalities in the distribution of         first industrial revolution. If there is one overriding
income between individuals and countries. It is            single factor which explains why some countries
probably also true, as Todaro (1989) strongly              developed before others, and why some countries
argues, that economics needs to be viewed in the            are still backward without a significant industrial
much broader perspective of the overall social             sector, it lies in the condition of agriculture which
system of a country, which includes values, beliefs,       in the early stages of development is the sector
attitudes to effort and risk taking, religion and the      which must provide the purchasing power over
class system, if development mistakes are to be            industrial goods.
avoided which stem from implementing policy                    The conditior. of agriculture depends on many
based on economic theory alone.                            factors, institutional as well as economic, and
                                                           physical conditions are also of key importance.
I   The Perpetuation of
    Underdevelopment
                                                           Climate, particularly, affects the conditions of pro-
                                                           duction. Heat debilitates individuals. Extremes
                                                           of heat and humidity also deteriorate the quality
                                                           of the soil and contribute to low productivity of
The study of economic development helps us to              certain crops. It cannot be coincidence that almost
understand the nature and causes of poverty in             all developing countries are situated in tropical or
low-income countries, and the transformation of            subtropical climatic regions and that development
societies from being primarily rural to being pri-         'took off' in the temperate zones.
marily industrial, with the vast bulk of resources             The condition of agriculture has not been helped
utilised in industrial activities and in service activi-   by what Lipton (1977) has called urban bias
ties which serve the industrial sector. But why            which has in many countries starved agriculture of
have some countries never participated in this             resources. This has happened because ruling elites
process or got left behind? The first industrial           generally originate from, or identify with, the
revolution gave the present developed countries an         non-rural environment, and because policy-makers
initial advantage which they then sustained                were led astray both by the empirical evidence
through the existence of various cumulative forces         which shows a high correlation between levels of
at work against those left behind. In the last forty       development and industrialisation, and by early
years there has been a second industrial revolution        development models which stressed investment in
which has propelled another bloc of countries (the         industry.
so-called newly industrialised countries of South              Many other internal conditions have acted as
East Asia and Latin America) into a virtually              barriers to progress in poor countries, which in-
industrialised state, and many others into a semi-         teracted in a vicious circle. In some countries
industrialised state. But many countries are still         population size presents a problem combined with
left behind in a semi-feudal state, including the          low levels of human capital formation. The latter
very poorest which have now become the prime               in turn perpetuates poverty which is associated
focus of concern of the Wodd Bank and other                with high birth rates and large family size. This is a
development agencies.                                      form of 'accommodation to poverty' (Galbraith,
   There are many theories of the perpetuation             (1980)) which then perpetuates low living stan-
of underdevelopment but none seem to have                  dards in a circular process. In other countries there
universal validity. The state of agriculture is of         may not exist the psychological conditions re-
                                                                Development and Underdevelopment              11
                                                                                                    Social indicators
                                   Extremely poor         Poor (including extremely poor)
                                                                                             Under 5          Net primary
                                     Headcount                       Headcount               mortality  Life   enrollment
                           Number      index   Poverty     Number      index   Poverty         (per expectancy     rate
  Region                  (millions) (percent)  gap       (millions) (percent)  gap         thousand) (years)   (percent)
expenditure (with an allowance made for output                regarded as an acceptable standard of living in the
produced for own consumption). The same level                 United Kingdom will be different (and higher)
of real income and expenditure in different coun-             from that regarded as acceptable in Nigeria. In
tries, however, may be associated with different              practice, however, for the measurement of poverty
levels of nutrition, life expectancy, infant mor-             in the Third World, the World Bank takes just two
tality, levels of schooling etc. which must be con-           figures for per capita income: one to classify the
sidered as an integral part of 'the standard of               total poor, the other to measure the extremely
living'. Measures of living standards based on per            poor. In 1990, the figures taken were $370 per
capita income, therefore, may need to be supple-              annum and $275 per annum, respectively.
mented by other measures which include these                      Once the poverty line has been calculated, the
other variables. We discuss later the attempt by              simplest way to measure poverty is by the head
the United Nations Development Programme                      count index which simply adds up the number of
(UNDP) to construct a Human Development In-                   people who fall below the poverty line (sometimes
dex which takes some of these factors into account.           expressed as a proportion of the population). By
   To separate the poor from the not so poor, an              this measure, the W odd Bank calculated that the
arbitrary per capita income figure has to be taken            number of poor people in the developing countries
which is sufficient to provide a minimum accept-              is just over one billion, and the number of ex-
able level of consumption. In theory, a consump-              tremely poor is just over 600 million. The numbers
tion-based poverty line can be thought of as                  by continent are shown in Table 1.1.
comprising two elements: firstly an objective                     One weakness of the headcount index, how-
measure of expenditure necessary to buy a mini-               ever, is that it ignores the extent to which the poor
mum level of nutrition, and secondly a subjective             fall below the poverty line, so that crude compari-
additional amount that varies from country to                 sons between countries, or over time, may be
country reflecting the cost of individuals partici-           misleading. To overcome this weakness, the con-
pating in the everyday life of society. What is               cept of the poverty gap may be used which
                                                                      Development and Underdevelopment               13
                                                        " 40 -
sideration has implications for judging the claims      ~
                                                        a.
of public policy because clearly if the headcount            30
index is taken as the measure of poverty, the
                                                             20
easiest way to reduce the head count index would
 be to focus all attention on those just below the           10
 poverty line, but this would not be socially just.
We need measures of poverty which also take                       0   10   20   30   40   50    60    70   80   90   100
 account of movements in the distribution of in-                                 Per cent of population
 come between the poor.
   It is interesting to note that despite the massive
numbers of people in absolute poverty, the trans-       tion and receive only 6 per cent of the world's
fer needed to leave everybody above the poverty         income; the middle-income countries contain 15 per
line ($370) is relatively small- only 3 per cent of     cent of the world's population and receive 17 per
total consumption in developing countries.              cent of world income, and other rich industrialised
   The focus of the World Bank is now very much         countries contain 25 per cent of the world's popu-
on poverty eradication. In May 1992, the Presi-         lation yet receive 77 per cent of world income.
dent of the World Bank, Mr Lewis Preston,               Income distribution data of this type (for indi-
declared that poverty reduction will be 'the bench-     vidual countries as well as for groups of countries)
mark by which our performances as a develop-            can be represented graphically on a so-called
ment institution will be measured'. This represents     Lorenz curve diagram as shown in Figure 1.1. The
a shift of emphasis away from the Bank's tra-           45° line represents a perfectly equal distribution of
ditional emphasis on project lending for economic       income across the population. The bowed curve is
efficiency to secure an economic rate of return         the Lorenz curve showing graphically the degree
from projects which may have done nothing to            of inequality. To draw the curve, first rank coun-
improve the lot of the poor.                            tries or groups of countries in ascending order
                                                        according to the ratio of the percentage of income
                                                        they receive in relation to the percentage popula-
D Distribution of World Income                          tion they contain; then cumulate the observations,
                                                        and plot on the diagram. Taking the data given
Turning now to the consideration of the distribu-       above, our ranking is obviously low-income,
tion of world income in relation to the population,     middle-income and 'high' -income. The cumulative
and using the three-fold classification of low-         distribution of income is 6/60 then 23/75 when the
income, middle-income and industrial countries,         middle-income country figures are added to the
we find that the low-income countries contain           first observation figures for the low-income coun-
approximately 60 per cent of the world's popula-        tries, and 100/100 when the 'high' -income figures
14 Introduction
are added. Plotting these distributions gives the        prices. If we regard $1200 as only barely above
Lorenz curve shown. If historical data are avail-        subsistence, the major part of present income
able, changes in the distribution of income              disparities between developed and developing
through time can be shown. It is possible, how-          countries must have arisen over the last century.
ever, that two (or more) Lorenz curves may cross,        Some countries, through a combination of fortune
precluding a definite conclusion on whether the          and design, have managed to grow much faster
distribution has narrowed or widened from a              than others. The overriding influence has been
visual inspection of the curves alone. In this case a    industrialisation and the technological progress
more precise measure of distribution is required.        associated with it. The close association between
One measure is to express the area enclosed be-          industrialisation and living standards spells out
tween the Lorenz curve and the 45° line as a ratio       the clear policy message that to base a develop-
of the total area under the 45° line. This is the Gini   ment policy on agricultural activities alone would
coefficient of distribution which varies from 0          be misguided, however attractive such aphorisms
(complete equality) to 1 (complete inequality).          as 'back to the land' and 'small is beautiful' may
Calculation of this ratio for the world economy          sound to those disillusioned with the recent in-
would give a Gini coefficient of approximately           dustrialisation experience of the developing coun-
0.6.                                                     tries. Sutcliffe (1971) is right when.he argues:
    There is little evidence that the distribution of
world income has been narrowing over time. Ac-              It is understandable that vague memories of the
cording to Kuznets (1965, pp. 142-75), if Lorenz            oppression of the working class in 19th century
curves are plotted for the years 1894, 1938 and             Britain, the contemporary horrors of American
1949 there is no indication that the curves have            machine-age society, and the Stalinist attack on
been shifting closer to the 45° line. Andie and             the Russian peasantry, should arouse feelings
Peacock (1961) reach the same conclusion in a               which are hostile to industrialisation. Yet to
comparison of 1949 and 1957. Their estimate of              oppose machines altogether, like Gandhi, or to
the Gini ratio, taking 62 countries, is approxi-            argue that a long run rise in the standard of
mately the same for both years (0.637 and 0.636,            living is possible without industrialisation,
respectively). What this suggests is that while per         are no more than forms of sentimentalism, es-
capita income may have been growing in the low-             pecially when the condition of most of the
income countries, it must have been growing                 population of the non-industrialised world is
almost as fast in the high-income countries. This is        now both terrible and worsening. It is not senti-
certainly true of the period since 1965 as column 4         mentalism to demand that the process of in-
in Table 1.2 indicates. Average per capita in-              dustrialisation should be made as humane and
come growth in the developing countries has been            as painless as possible and that the long term
2.5 per cent, and 2.4 per cent in the developed             aims of equality at a higher standard of living
 countries.                                                 should be constantly borne in mind as the pro-
    It is easily forgotten that the rich-poor country       cess goes on.
 divide is a relatively recent phenomenon. All coun-
 tries were once at subsistence level, and as recently   The concentrated impact of industrialisation on
 as 200 years ago, at the advent of the British          living standards in the Western world is dramati-
 industrial revolution, absolute differences in living   cally emphasised by Patel's illustration (Patel
 standards between countries on average cannot           (1964)) that if 6000 years of man's 'civilised'
 have been great. The average per capita income of       existence prior to 1850 is viewed as a day, the last
 the developing countries today is approximately         century or so represents little more than half an
 $1200 per annum and this was about the average          hour; yet in this 'half-hour' more real output has
 level of real per capita income in Western Europe       been produced in the developed countries than in
 in the mid-nineteenth century measured at current       the preceding period. It is true .that living stan-
                                                                 Development and Underdevelopment                   15
t means total.
w means weighted average.
Source: World Development Report, 1992.
dards in the developing countries have been rising           biguous. Since living standards in all countries
faster since 1950 than at any time in the past; but          tend to rise absolutely over time, it obviously
so, too, have the living standards in the developed          refers to the comparative position of poor coun-
countries, and the gap between rich and poor                 tries, but is the comparative position being measured
countries continues to widen. Although develop-              taking absolute or relative differences in per capita
ment consists of more than a rise in per capita              income? How should the 'development gap' be
incomes, income disparities are the essence of the           assessed? Unfortunately there is no easy answer to
so-called 'development gap'. Let us examine the              this question, yet the answer given has a profound
nature and magnitude of this gap more closely.               bearing on the growth of per capita income that
                                                             poor countries must achieve either to prevent a
                                                             deterioration of their present comparative position
• The Development Gap                                        or for an improvement to be registered. Relative
                                                             differences will narrow as long as the per capita
The statement that 'the rich countries get richer            income growth rate of the developing countries
and the poor countries get poorer' has become a              exceeds that of the developed countries; and this
popular cliche in the literature on world poverty,           excess of growth is a precondition for absolute
but without ro.uch discussion of the facts or the            differences to narrow and disappear in the long
precise magnitude of the development task facing             run. In the short run, however, a narrowing of
the developing countries if the per capita income            relative differences may go hand in hand with a
gap between rich and poor nations is to be nar-              widening absolute difference, given a wide ab-
rowed. Indeed, the statement itself is not unam-             solute gap to start with, and thus the rate of
                                                                 Development and Underdevelopment         19
 growth necessary to keep the absolute per capita        tries, the top 20 per cent of the richest people in
income gap from widening is likely to be substan-        the rich countries had incomes 150 times higher
tially greater than that required to keep the rela-      than the incomes of the poorest 20 per cent of
 tive gap the same. But suppose the relative gap         people in poor countries.
does narrow, and the absolute gap widens, are the            Now let us turn to the future comparative posi-
poor countries comparatively better or worse off?        tion of the poor countries, and the magnitude of
    There is a tendency in economics to measure          the development task as far as more equitable
phenomena, especially dispersions of income, in          world living standards are concerned. To avoid
 relative rather than absolute terms - to compare        the issue of whether strategy and assessment
 differences in the rates of change of variables, as     should be concerned with absolute or relative per
with Lorenz curves, rather than absolute differ-         capita income differences, and to facilitate quanti-
ences. In comparing rich and poor countries, how-        fication, matters will be made simple by assuming
ever, it is not difficult to argue that even if a        that the desirable goal is to narrow and eliminate
 relative per capita income gap is narrowed, the         both the absolute and the relative gap. We shall
comparative position of the poor may have                take as a target the average per capita income of
worsened because the absolute gap has widened.           the industrialised countries and attempt to answer
Take for illustration the case of the average Indian     four specific questions as reliably as the data will
living on the equivalent of $350 per annum com-          allow:
pared with the average American living on ap-
                                                         1   Given the recent growth experience of the
proximately $22 000. Suppose the Indian's income
                                                             poor countries, how long would it take for
rises by 20 per cent and the American's income by
                                                             them to reach the current average level of per
10 per cent. The Indian is now relatively better off,
                                                             capita income in the industrialised countries?
but is he not comparatively worse off? The Ameri-
                                                         2   Given the recent growth experience of the
can's increased command over goods and services
                                                             poor countries relative to the industrialised
(i.e. 10 per cent of $22 000) far exceeds that of the
                                                             countries, how many years would it take for
Indian (i.e. 20 per cent of $350), and unless mar-
                                                             the per capita income gap to be eliminated?
ginal utilities differ radically, divergences in total
                                                         3   Given the rate of growth of the industrialised
utility and welfare will widen in favour of the
                                                             countries from now until the year 2010 (say),
American. On welfare grounds there would seem
                                                             how fast would the poor countries have to
to be a case for paying as much attention to
                                                             grow for per capita incomes to be equalised by
absolute differences in per capita income between
                                                             that date?
rich and poor countries as to rates of growth of
                                                         4   Given the rate of growth of the industrialised
per capita income.
                                                             countries, how fast would the poor countries
    As it happens, both the absolute and the relative
                                                             have to grow merely to prevent the absolute
gap between rich and poor countries has widened
                                                             per capita income gap between rich and poor
in the last thirty years. Research by Dowrick
                                                             countries from being any wider in the year
(1992) shows that between 1960/64 and 1984/88,
                                                             2010 than now?
average per capita income growth in the rich coun-
tries was 2.49 per cent per annum; in the middle-           By asking the first two questions some idea can
income countries 2.16 per cent per annum, and in         be obtained of the time scale of the catching up
the poor countries 1.36 per cent per annum. There        process by the poor countries given their recent
is no evidence of living standards converging in the     growth performance. The answers to the latter
world economy. In 1960, the richest 20 per cent of       two questions give some idea of the growth task
the world's population had incomes 30 times greater      facing the poor countries in their struggle not only
than the poorest 20 per cent of the world's popula-      for parity of living standards, but also in simply
tion. In 1990, this ratio was 60 times greater.          preventing the absolute gap from widening.
Taking account of income inequality within coun-            Given the basic data, the answers to the ques-
20   Introduction
tions posed involve little more than simple ma-           The solution to the second question is obtained
nipulation of the formula for compound interest:       from the expression:
s= p (1 + r)n
where P is the principal sum and S is the sum to       from which we can find how long it would take (n)
which the principal grows at an annual rate of         for the per capita income gap to be eliminated
growth, r, over n years. For illustration:             between rich and poor countries, as long as the
   Let YDt be the current level of per capita in-      rate of per capita income growth in poor countries
come in the industrialised countries = $20 000;        is greater than in the industrialised countries -
        Y Dct be the current level of per capita in-   otherwise, of course, the absolute gap would
come in the poor countries = $1200;                    widen for ever.
        rDbe the per capita income growth rate in
the industrialised countries from 1990 to the year                            1o gYDt
2010 = 3 per cent (say);                                                            --
                                                                                  YDct
        rDe be the actual per capita income growth          n   =   ------~~----
                                                                    log(1 + rDc) - log(1 + rD)
rate in the poor countries = 2 per cent;
        Y~ be the assumed level of per capita in-
                                                       A calculation can be made for any individual
come in the industrialised countries in the year
                                                       country whose average per capita income growth
2010 = $36 000 at today's prices (assuming 3 per
                                                       was in excess of that of the industrialised
cent growth);
                                                       countries. Korea, for example, has a per capita
        and r~c be the required per capita growth
                                                       income of approximately $5000 and per capita
rate of the poor countries.
                                                       income has been growing at approximately 7 per
The solution to the first question is then obtained
                                                       cent per annum. How long would it take Korea at
from the formula:
                                                       this rate to catch up the present industrialised
                                                       countries growing at 3 per cent? The answer is:
the poor countries between the base period (1990)      the assumed 3 per cent average growth rate of the
and the year 2010(n = 20) to equalise per capita       industrialised countries.
incomes.                                                   All the above calculations are sensitive to the
                                                       assumed future growth rate of the industrialised
                                                       countries, the choice of the target year in the fu-
                                                       ture, and the base year level of per capita income
Applying the assumed magnitudes of the variables       taken for the poor countries. No one can possibly
gtves:                                                 know with precision what the future rate of ad-
                                                       vance of the industrialised countries will be, and 3
        r';;c = 20Y(36 000/1200) - 1                   per cent per capita income growth - the historical
                                                       average from 1950 to 1990- would seem to be as
           = 18 per cent
                                                       reasonable an assumption as any. But the lower
The required growth rate is 18 per cent per annum      the growth rate, the less formidable the growth
and hardly feasible. The magnitude of the develop-     effort of the poor countries to achieve parity of
ment task is clearly colossal if defined in terms of   living standards. No special significance should be
achieving roughly comparable living standards          attached to the year 2010 as the choice of target
throughout the world by the beginning of the next      year. Some year has to be taken to make these
century. For most of the poor countries per capita     'catching up' calculations - not too close to the
income growth would have to increase six-fold,         present to give no hope and not too far away for
necessitating a ratio of investment to national in-    the goal to be lost sight of. As far as the base year
come of 50 per cent or more. Investment ratios of      level of per capita income in the poor countries is
this order are simply not feasible, and in any case    concerned, a note of caution is in order. To the
the countries themselves could not absorb such         extent that income statistics invariably understate
investment.                                            the value of production in poor countries (see
   The solution to the fourth question is obtained     later), the calculations of the catching-up time and
from the expression:                                   the growth rate required for parity of living stan-
                                                       dards will be exaggerated. The degree of over-
                                                       estimation, however, is not likely to be so great as
                                                       to invalidate the conclusion that the growth rates
where the left-hand side represents the base level     required for parity of living standards by the year
per capita income gap and n is 20 years. Solving       2010 are not feasible, and that on current growth
for the growth rate that would have to be achieved     performance some countries will never catch up.
to prevent the present gap from widening gives:        It can be argued, of course, that world income
                                                       equality is an impracticable ideal, and that the
                                                       primary aim is not equality of living standards
                                                       throughout the world but 'tolerable' living stan-
                                                       dards in all countries, which is a very different
Applying the assumed magnitudes of the variables
                                                       matter. The problem is to define 'tolerable' living
gtves:
                                                       standards, and especially to guarantee a reason-
                                                       ably equitable distribution of that average level of
r0 c   = 20Y[36 000 - (20 000 - 1200)]/1200
                                                       real income. The time scale involved to reach
         - 1   = 14 per cent                           'tolerable' living standards is clearly less than that
                                                       required to eliminate the gap entirely, but even so,
This again is a growth rate not feasible, with the     if the average level of per capita income now en-
implication that the per capita income gap be-         joyed in the industrial countries is regarded as the
tween rich and poor countries will almost cer-         tolerable level, we estimate it will take almost a
tainly be wider in the year 2010 than now, given       century for the average poor country on current
22    Introduction
performance to attain it. Can these countries wait     different stages of development. Perhaps the most
that long?                                             amusing set is attributable to the Brazilian econ-
                                                       omist, Roberto Campos, who distinguishes five
great development potential. But bearing in mind        stage implying any causal relation between the
the arbitrariness of per capita income, it is still     characteristics of low-income countries and the
very convenient to have one readily available, and      extent of their poverty or underdevelopment. Low
easily understandable, criterion for classifying        per capita incomes do seem to go hand in hand
countries, and perhaps per capita income is the         with such characteristics as high birth rates and an
best single index we have. It also has one positive     absence of industry, but it is always dangerous to
advantage, namely that it focuses on the raison         equate association with causation, and in this con-
d'etre of development, which is the raising of liv-     text what is cause and what is effect cannot be
ing standards and the eradication of poverty. And       deduced without adequate theorising. As Kuznets
in the last resort per capita income is not a bad       (1961, p. 9) reminds us, 'it is easy to translate close
proxy for the social and economic structure of          statistical association into significant causal rela-
societies. If developing countries are defined on the   tionships ... [but] in view of the continuous
basis of a per capita income level so as to include     interplay of income levels and these associated
most of the countries of Asia, Africa and South         characteristics this simple translation is a logical
America, striking similarities are found between        trap that should be avoided lest it lead to intellec-
the characteristics and development obstacles of        tual sterility and to a dangerously mechanistic
many of the countries in these continents. These        approach to policy implications'. A simple mecha-
characteristics include a high proportion of the        nical argument ascribing poverty to such factors as
labour force engaged in agriculture and low agri-       low savings and primary product production
cultural productivity, a high proportion of domes-      ignores the fact that countries may be at different
tic expenditure on food and necessities; an export      stages of their economic history and may differ
trade dominated by primary products and an im-          radically with respect to past history and future
port trade dominated by manufactured goods; a           prospects. In this respect, four main categories of
low level of technology; high birth rates coupled       low-income countries need distinguishing: first,
with falling death rates; and savings undertaken        those countries with low per capita incomes but
by a small percentage of the population. There          which are progressing rapidly and with enormous
may, of course, be some countries which on a per        future potential based on indigenous resources;
capita income basis are classified as developed and     second, those countries with rising per capita in-
which possess most of the above-mentioned char-         comes but with less hope of rapid self-sustaining
acteristics, but the exceptions will be few, and the    growth because of resource limitations; third,
reverse of this situation is almost inconceivable.      those countries rich in resources but with per capi-
Also these countries have many social problems in       ta income still relatively stagnant; and last, those
common, such as growing unemployment in                 countries with a stationary per capita income and
urban areas; inegalitarian income distributions,        with little prospect of raising living standards ow-
and poor health and standards of education -            ing to a sheer lack of resources. A low-income
about which we shall say more later. In general,        country may fall into any one of these four broad
therefore, we conclude that per capita income may       categories and it would clearly be misleading,
be used as a starting-point for classifying levels of   without further information, to ascribe low per
development, and can certainly be used for iden-        capita income in a particular country at any par-
tifying the need for development. The only major        ticular point in time to characteristics it shares
reservation that we shall have to make later con-       with other low-income countries. Association be-
cerns the case of geographically dual economies         tween low incomes and certain development char-
where an aggregate per capita income figure can         acteristics is all that one is really entitled to claim.
disguise the need for the development of a sizeable        There is a difference, however, between using
region as great as the need for the development of      per capita income as a guideline for classifying
a country itself, e.g. southern Italy.                  countries into developed and underdeveloped at a
    It should be emphasised that we are not at this     point in time and using the growth of per capita
24   Introduction
income as an index of development over time. The                  other hand, development is hardly possible with-
difficulty of using per capita income for the latter              out growth; but development is possible, as we
purpose is the obvious one that if, in a particular               have suggested, without per capita income rising.
period, per capita income did not grow because                    It would be a strange, rather purposeless, type of
population growth matched the growth of a coun-                   development, however, which left per capita in-
try's total income, one would be forced into the                  come unchanged, unless the stationary per capita
odd position of denying that a country had de-                    income was only temporary and a strong founda-
veloped even though its national product had in-                  tion was being laid for progress in the future. For
creased. This is an inherent weakness of linking                  the ultimate rationale of development must be to
the concept of development to a measure of living                 improve living standards and welfare, and while
standards.                                                        an increase in measured per capita income may
   This leads on to the distinction between growth                not be a sufficient condition for an increase in
and development. Development without growth is                    individual welfare, it is a necessary condition in
hardly conceivable, but is growth possible without                the absence of radical institutional innovations,
development? If per capita income is rejected as an               such as the distribution of 'free' goods.
index of development over time, an answer to this                    An increase in income is not a sufficient condi-
question is not possible without defining terms                   tion for an increase in welfare, because an increase
more precisely.                                                   in income can involve costs as well as benefits. It
   The difficulty is defining 'development'. The                  may have been generated at the expense of leisure
meaning of 'growth' is fairly unambiguous; most                   or by the production of goods not immediately
economists would accept the definition of a rise in               consumable. If development is looked upon as a
real national income, i.e. a rise in money income                 means of improving the welfare of present genera-
deflated by an index of prices. But 'development'                 tions, probably the best index to take would be
is an elusive term meaning different things to differ-            consumption per man-hour worked. This index, in
ent groups of social scientists. 1 Most would agree               contrast to an index of per capita income, focuses
that development implies more than just a rise in                 directly on the immediate utility derivable from
real national income; that it must be a sustained,                consumption goods in relation to the disutility of
secular rise in real income accompanied by                        work effort involved in their production.
                                                                  I
changes in social attitudes and customs which
have in the past impeded economic advance (see
our earlier discussion). But at this point agreement                  The Measurement and
on what constitutes development would probably
end. But whatever definition of development is                        Comparability of Per Capita
given, growth is clearly possible without the                         Incomes
broader societal changes referred to. The upswing
of the trade cycle is the most obvious example of                 We turn now to the difficulties of measuring real
the possibility of growth without development,                    per capita income and comparing living standards
and examples of abortive 'take-offs' are not hard                 between countries. These difficulties cannot be
to find where countries have grown rapidly for a                  ignored any longer and must be continually borne
short time and then reverted to relative stagnation.              in mind in using per capita income figures both for
Historically, Argentina is a case in point. On the                classification purposes and for comparing the rate
                                                                  of development in different countries over time.
1 For semantic entertainment on the meaning of 'development'
                                                                  The difficulties of obtaining meaningful and accu-
and 'underdevelopment', see Machlup (1967). Machlup him-          rate measures of real per capita income relate
self defines economic development as 'those changes in the use    more to the measurement of real income than to
of resources that result in potentially continuing growth of
national income per head in a society with increasing or stable
                                                                  population, and we shall thus concentrate briefly
population'.                                                      on some of the problems of national income
                                                                Development and Underdevelopment         25
accounting and the uses of national income stat-        illiteracy rife, and in which many goods produced
istics in developing countries.                         and consumed do not exchange for money. Differ-
    The first point to bear in mind is that if no       ences in the extent of the subsistence economy
allowance is made for the non-monetary sector in        between developing countries, and differences in
the national income accounts of a developing            the ease and difficulty of collecting data, may
country, any long-term growth estimates are             markedly influence estimates of national income,
bound to have an upward bias owing to the grad-         and therefore of per capita income differences,
ual extension of the money economy and the shift        between these countries and the rest of the world.
of economic activities from the household to            Some testimony to the role that the subsistence
the market-place. Furthermore, if no allowance is       sector must play in the economies of most de-
made for the subsistence sector in some countries,      veloping countries is illustrated by the inconceiv-
it may be misleading to compare periods in these        ability that 60 per cent of the world's population
countries' history and to compare growth rates          could remain alive on the equivalent of $1200 per
between countries, especially between the de-           annum. But this is not the whole story.
veloped and the developing countries.                       The other part of the story, and probably the
    Growth rates may also be biased upwards by          major part, concerns the understatement of living
using prices as weights in compiling national in-       standards in developing countries when their
come totals from the output statistics of different     national incomes measured in local currencies are
sectors of the economy (unless the weights are          converted into US dollars (as the common unit of
revised frequently), since goods with high prices,      account) at the official rate of exchange. If the US
which subsequently fall, are usually the fastest        dollar is used as the unit of account the national
growing. This is more of a danger in developing         income per head of country X in US dollars 1s
countries than in developed countries because           given by
of less sophisticated accounting techniques, the
greater difficulty in revising price weights, and the          GNPx
more widespread introduction of new goods with                      . -;- Exchange rate
                                                             Popu1atwn
high initial prices.
    A consideration of prices is also necessary in      For example, if the GNP of country X is 100
deciding what price index to use as a deflator of       million rupees, its population is 5 million, and
money national income in order to obtain an in-         there are 10 rupees to the dollar, then per capita
dex of real income. The task of converting money        income of country X in dollars is:
income statistics into real income raises all the
difficulties, not peculiar to developing countries,          100 -;- 10   =   $2.
connected with the use of index numbers, such as              5
which base year should be taken, how to take
account of changes in the quality of products,          But if living standards between two countries are
which weighting system to employ, and so on.            to be compared by this method, it must be
These are conceptual issues to be sorted out by the     assumed that 10 rupees in country X can buy the
national income statistician rather than by the de-     same living standard as $1 in the United States. It
velopment economist, but it is important for the        is well known, however, that official exchange
economist to know how figures for real national         rates between two countries' currencies are not
income, or per capita income, have been arrived at      very good measures of purchasing-power parity
prior to analysis.                                      between countries, especially between countries at
    But apart from the problem of bias and the          different levels of development. The reason is this:
choice of price deflator there is the sheer practical   exchange rates are largely determined by the
difficulty of measuring money national income in a      supply and demand for currencies based on goods
rural economy where communications are bad,             which are traded, the prices of which tend to be
26   Introduction
equalised internationally. Purchasing-power par-           where Q; is the geometric mean of the quantities of
ity, however, depends not only on the price of             each good consumed in the two countries.
traded goods, but also on the price of non-traded              The purchasing-power-equivalent ratio can then
goods which is largely determined by unit labour           be used to convert one country's national income
costs, which tend to be lower the poorer the country.      measured in local currency into another country's
In general, therefore, the lower the level of de-          currency as the unit of account (e.g. the US dollar).
velopment the lower the ratio of the price of non-         For example, suppose that the official exchange
traded goods to traded goods and the more the              rate between the Indian rupee and the US dollar is
use of the official exchange rate will understate          10 : 1, while the purchasing-power-equivalent
the living standards of the developing country             ratio is 5 : 1. This means that converting the
measured in US dollars. The ratio of the price of          Indian national income into US dollars at the
non-traded goods to traded-goods tends to rise             purchasing-power parity rate will give double
with development as wage levels in the non-traded          the income than the conversion at the official ex-
goods sector rise while productivity growth is             change rate.
relatively slow, and slower than in the traded                 The method described above is only one poss-
goods sector. To make meaningful international             ible approach to the construction of a binary
comparisons of income and living standards,                purchasing-power parity ratio. Instead of the rela-
therefore, what is required is a measure of                tive prices being applied to the geometric average
purchasing-power parity, or a real exchange rate,          of the quantities of each good consumed in the
between countries.                                         two countries, the quantity weights could be the
    There are several methods of constructing              quantities consumed in either the one country
purchasing-power parity ratios in order to make            or the other. If the quantity weights of the poor
binary comparisons (one country with another) or           country are used, the dollar valuation of the poor
'multilateral' comparisons in which the currency           country's income would probably be even higher
of any one of a group of countries can act as the          because relatively large weights would be given to
unit of account without altering the ratios of living      those items which are widely consumed in those
standards between countries.                               countries with low relative prices, therefore im-
    One approach to the construction of a                  proving the purchasing-power parity ratio.
purchasing-power parity ratio between two coun-                Alternatively comparisons can be made from
tries is to revalue the national incomes of the two        the output side by valuing output in both countries
countries by selecting a comparable basket of goods        either at one country's prices or at the other's
and services in each country and estimating the            pnces.
purchasing-power equivalent of each item in coun-              The results of constructing and using pur-
try A relative to country B. Thus if P;a is the price of   chasing-power parity ratios for making binary
item i in country A and P;b is the price of item i in      comparisons have been quite dramatic. In an early
country B, the purchasing-power equivalent of              study, Millikan suggested that the real incomes of
item i in country A relative to country B is P;aiP;b·      many African and Asian countries in 1950 were of
By extending this calculation to all goods, and            the order of 350 per cent larger than indicated by
applying the price ratios to the average quantities        UN statistics in US dollars per capita (Kindleber-
consumed of each item in the two countries, we             ger (1965), p. 9). Likewise, Usher (1966, pp. 10-
obtain a formula for the over-all purchasing-              17) estimated the ratio of British to Thai national
power equivalent in country A relative to country          income per head to be 13.06 : 1 converting Thai
B:                                                         income in local currency into pounds at the
                                                            foreign exchange rate. However, by-passing the
                                                           exchange rate and valuing British and Thai income
                                                            directly at Thai prices the ratio fell to 6.27: 1, and
                                                           valuing both incomes at British prices the ratio fell
                                                                     Development and Underdevelopment      27
Table 1.3 Per Capita GDP in 1970 in $US Using Official Exchange Rates and in International $s Using
International Prices
to 2.76 : 1. In making binary international com-         rates increases the estimate of per capita income
parisons of per capita incomes, therefore, it makes      more than two-fold (e.g. in the case of Colombia
a great deal of difference whether the official          and India).
foreign-exchange rate is used as a measure of                Purchasing power parities can be derived from
purchasing-power parity, or, if the use of ex-           the table in the following manner. The purchasing
change rates is discarded, which quantity weights        power parity rate (PPPR) is equal to the official
are applied to relative price indices or which price     exchange rate divided by the extent to which the
weights are applied to relative quantities.              official exchange rate conversion of per capita
   More recently, Irving Kravis and collaborators        income understates the true level of per capita
have developed a method of making multilateral           income when measured at international prices.
comparisons of real per capita incomes across            Suppose, for example, there are 7 Kenyan shillings
countries by constructing world price ratios based       to one US dollar, and that the official exchange
on price and quantity data for over 100 com-             rate conversion understates Kenyan per capita in-
modity categories in over 100 countries. The inter-      come by 90 per cent (which it does according to
national prices are then used to value quantities in     Table 1.3). The PPPR of Kenyan shillings to $US is
each of the countries. The international prices and      therefore PPPR = 7/1.9 = 3.7. That is, to compare
product values are expressed in international dol-       living standards between Kenya and the US, the
lars (1$). An international dollar has the same          real exchange rate of 3.7 ought to be used, not the
overall purchasing power as a US dollar for              official rate of 7 shillings to the dollar.
national income as a whole, but relative prices for         The pioneer work of Kravis is now regularly
each country are relative to average world prices        extended and updated by his collaborators, Sum-
rather than relative to US prices. This multilateral     mers and Heston, who produce international com-
approach allows a direct comparison between any          parisons of price levels and real per capita incomes
two countries using any country's currency as the        at international prices for all major countries in
unit of account. The results of this exercise for ten    the world since 1950, which can be compared
countries originally taken by Kravis et al. ((1975);     with the World Bank estimates of per capita in-
see also Kravis et al. (1978)) are summarised in         comes based on official rates of exchange with the
Table 1.3. It can be readily seen that converting        US dollar (see, for example, Summers and Heston
some of the poor countries' incomes at inter-            (1988)).
national prices rather than at official exchange            Before ending this section it should be stressed
28   Introduction
that purchasing-power parity ratios, however de-        head; annual number of domestic letters sent per
rived, should not be interpreted as equilibrium         head; stock of radio receivers per head; stock of
exchange rates to be used as a standard for             telephones per head; stock of road vehicles per
measuring the extent to which the official ex-          head; and annual meat consumption per head.
change rate may be either under- or over-valued.        Predictions are made by Beckerman and Bacon for
As we have said before, exchange rates are deter-       eighty countries, and the countries ranked. Unfor-
mined by the supply of and demand for traded            tunately there is no indication given of the extent
goods, while many goods not traded figure in the        to which the ranking of countries by this method
purchasing-power parity ratios.                         differs from the ranking by published per capita
    Apart from the construction of purchasing-          income statistics. If the rankings differ substan-
power parity ratios there have been several other       tially, it may be that the Beckerman-Bacon approach
attempts to overcome the problems of using sus-         is the most appropriate to adopt for obtaining a
pect income statistics to compare living standards      measure of comparative levels of welfare between
between countries and over time. One consists of        countries as measured by consumption per head. If
the use of non-monetary indicators, such as levels      the rankings do not differ markedly, income per head
of health and education, the number of cars per         may still be regarded as a good proxy for the com-
head, steel production, etc., and to rank countries     parison of living standards. (This is the conclusion of
according to an index of each indicator (United         Hagen and Hawrylyshyn (1969).)
States = 100). The indices of all indicators are
then averaged. However, this approach suffers
from the drawback that there is no satisfactory
weighting system that can be used for combining
                                                        I   Other Dimensions of the
                                                            Development Gap
the different indices. An alternative approach has
been suggested by Beckerman and Bacon (1966)            The human problems of developing countries are
which they claim to be 'theoretically valid, poten-     not confined to low levels of per capita income.
tially very accurate, and at the same time, almost      Developing countries generally experience much
costless'. The approach is based on correlation         higher levels of unemployment - open and dis-
and regression analysis. Their procedure is as fol-     guised - than do developed countries; their
lows. First, they take reliable estimates of relative   income distributions tend to be much more in-
(to the United States) real consumption per head        egalitarian, and the levels of health, nutrition and
for thirteen countries. Then they take several non-     education are often abysmally low. Policy in
monetary indicators and pick out those that corre-      developing countries is becoming increasingly
late best with the reliable observations of real        concerned with these other dimensions of the de-
consumption per head, experimenting with differ-        velopment gap. The growth of per capita income
ent functional forms. Finally, with the aid of a        has never been the sole objective of development
computer they find which combination of indica-         policy but more attention is now being paid to
tors, and which forms of the equations linking          other objectives which in some instances may con-
them to real consumption per head, give the best        flict with growth of per capita income.
 results in terms of the multiple correlation coef-
ficients and the standard errors of the regression
equations. From the best results, predictions can       • Unemployment
 be made of relative consumption per head for
 countries, where data on income per head are           Open unemployment in the urban areas of de-
 thought to be unreliable, from the non-monetary        veloping countries is another dimension of the
 independent variables. The variables used as pre-      development problem, and an increasingly serious
 dictors were as follows: annual crude steel con-       one. The reduction of unemployment has become
 sumption per head; annual cement production per        a major policy priority of governments and inter-
                                                                         Development and Underdevelopment 29
  Africa:
    Egypt                                               1.9a       2.4         2.5        5.2
  Middle East:
    Syria                                              7.4         6.4         4.8        3.8b
  Asia:
    S. Korea                                           7.4         4.5         4.1        5.2         4.6        4.4
    Philippines                                        8.2         6.0         4.4        4.8         5.1        5.3
  Latin America and Caribbean:
    Argentina                                          5.3         4.8         2.3        2.3         4.5        5.7
    Chilec                                             5.4         4.1        15.0       10.4        11.3       20.0
    Colombiad                                          8.9         8.2        10.5        9.9         8.1
    Panama                                             7.6         7.1         6.4        8.8e
    Peruf                                                          4.7         4.9        7.0         6.8         7.0
    Trinidad and Tobago                               14.0        12.5        15.0       10.0        12.2
    Uruguayg                                           7.2h        7.5         8.1i       7.3         6.6
    Venezuelai                                         7.7k        6.3         7.6 1      6.0         6.2        7.1
• 1964, b 1979, c Gran Santiago, d Bogota, e 1979, 1 Lima Callao, 8 Montevideo, h 1967, ' 1974, i urban, k 1967, 1 1976.
Source: M. Godfrey, Global Unemployment: The New Challenge to Economic Theory (Brighton: Wheatsheaf Books, 1986).
national agencies concerned with developing                     lack of co-operating factors of production to work
countries. Poor countries for a long time, and par-             with labour: capital in particular. As far as migra-
ticularly since the population explosion, have been             tion is concerned, there are both push and pull
characterised by underemployment, or disguised                  factors at work. The push factors have to do with
unemployment (see Chapter 3), on the land. What                 the limited job opportunities in rural areas, and
has happened in recent years is that disguised un-              the greater willingness and desire to move fostered
employment on the land has transferred itself into              by education and the improvements in com-
open unemployment in the towns. The reasons for                 munications. The pull factors relate to the de-
this, and the rationale for migration, will be consi-           velopment of industrial activities in the towns
dered later, but first let us outline the facts. Some           offering jobs at a higher real wage than can be
idea of the seriousness of unemployment is given                earned in rural areas, so that even if a migrant is
by the figures in Table 1.4 for a selection of de-              unemployed for part of the year, he may still be
veloping countries. The figures are not so different            better off migrating to the town than working in
from unemployment rates recorded in some de-                    the rural sector. If there is no work at all in the
veloped countries in the 1980s, but the recorded                rural sector, the migrant loses nothing, except
figures measure only the tip of the iceberg.                    perhaps the security of the extended family sys-
   There are a number of contributory factors to                tem. The rate of growth of job opportunities in the
the emergence of unemployment in the towns on                   rural sector depends on the rate of growth of
an increasing scale. The problem is not so much                 demand for the output of the rural sector and
one of a deficiency of demand for labour in an                  the rate at which jobs are being 'destroyed' by pro-
aggregate demand sense. The causal factors relate               ductivity growth. 1 The growth of demand for the
to the incentives to labour migration from the                  1 i.e. since 0 = L(OIL), then dLIL = dOlO- d(OIL)I(OIL),
rural to the urban areas, and the incapacity of the             where L is employment, 0 is output and OIL is labour pro-
urban areas to provide employment owing to a                    ductivity.
30   Introduction
output of the rural sector will be equal to the rate     necessarily solved by a faster rate of capital ac-
of growth of total population plus the rate of           cumulation in the urban sector, because migration
growth of per capita income multiplied by the            is not simply a function of the actual difference in
income·elasticity of demand for rural output. Sup-       real remuneration between the two sectors, but
pose population is growing at 2 per cent, that per       also of the level of job opportunities in the urban
capita income is growing at 4 per cent and that the      sector. If the rate of job creation increases, this
income elasticity of demand is 0.5, then the rate of     may merely increase the flow of migrants with no
growth of demand for the rural sector's output           reduction in unemployment. The solution would
will be 2.0 + 0.5 (4.0) = 4.0 per cent. Now              seem to be to create more job opportunities in the
suppose that the rural sector's productivity is          rural sector. This will require, however, not only
growing at 2 per cent. The rate of growth of             the redirection of investment but also the exten-
demand for labour will then be the difference be-        sion of education and transport facilities, which in
tween 4 per cent and 2 per cent, i.e. 2 per cent. If     the past few years have themselves become power-
the rural-sector labour force is growing at 3 per        ful push factors in the migration process. Whereas
cent, then 1 per cent of the labour force will be        formerly redundant labour might have remained
becoming redundant annually. If the level of dis-        underemployed on the family farm, nowadays
guised unemployment in the rural sector were not         education and easy transportation provide the
to increase, this figure would constitute the poten-     incentive and the means to seek alternative
tial volume of migrants. If the urban labour force       employment opportunities. While education and
is only one-fifth of the size of the rural labour        improved communications are desirable in them-
force, a 1 per cent migration of rural labour would      selves, and facilitate development, their provision
represent a 5 per cent increase in the urban labour      has augmented the flow of migrants from rural to
force due to migration. On average, this is about        urban areas.
the extent of the influx from the rural sector into          The pull factors behind migration are not hard
the urban areas of developing countries. On top of       to identify. The opportunities for work and leisure
this there is the natural increase in the work-force     provided by the industrial, urban environment
in the urban area to consider; this is of the order of   contrast sharply with the conservatism and stul-
between 2 and 3 per cent. If job opportunities in        tifying atmosphere of rural village life and act
the urban areas are only increasing at 5 per cent,       naturally as a magnet for those on low incomes or
then 2 to 3 per cent of the urban labour force will      without work, especially the young. Given the
become unemployed annually, thus raising the un-         much higher wage in the urban sector, even the
employment percentage year by year.                      prospect of long spells of unemployment in
    Historically, the process of development has         the urban area does not detract from the incentive
always been associated with, and characterised by,       to migrate. Moreover, the choice is not necessarily
an exodus from the land, continuing over centuries.      between remaining in the rural sector and migrat-
The uniqueness of the present situation is not           ing to the urban sector with the prospect of long
the migration itself but its magnitude and speed.        periods of unemployment. The unemployed in the
And the problem is that the urban sector cannot          urban sector can often find work, or create work
absorb the numbers involved. For any given tech-         for themselves, on the fringes of the industrial
nology the rate at which the urban (industrial)          sector - in particular in the informal service sector
sector can absorb migrants largely depends on the        of the industrial economy. The wages may be low,
rate of capital formation. If labour and capital         but some income is better than no income. In other
must be combined in fixed proportions, and the           words, unemployment in urban areas may take the
rate of capital accumulation is only 5 per cent,         form of underemployment, or become disguised,
then the rate of increase in job opportunities can       just as in the case of the rural sector - its mani-
be only 5 per cent also. Unfortunately, however, as      festation being low income. This has led to the
we shall show in Chapter 3, the problem is not           notion of an income measure of unemployment
                                                                   Development and Underdevelopment 31
which needs to be added to registered unemploy-            gramme sponsoring missions to several countries
ment to obtain a true measure of unemployment              to undertake detailed diagnosis of the employment
and the availability of labour supply.                     problem. Some of the major findings and conclu-
   One way of measuring the extent of unemploy-            sions have been surveyed by Thorbecke (1973).
ment disguised in the form of low-productivity/            The report on Colombia estimated that an em-
low-income jobs is to take the difference between          ployment growth rate of 7 per cent per annum
the actual labour employed at the sub-standard             would be required to absorb all increases in the
income and the labour that would be required to            labour force. Since the projected rate of growth of
produce a given level of output or service at an           labour productivity would make this impossible,
acceptable level of income per head. Before                the report recommended a move to more labour-
measurement took place, of course, the acceptable          intensive techniques, at least in the industrial sec-
(standard) level of income would have to be de-            tor. The report on Kenya emphasised the income
fined. It could be that level set as the 'poverty line',   measure of unemployment discussed above. It
below which health and welfare become seriously            drew attention to the large number of people
impaired. The income measure of unemployment               forced to work in the informal sector of the indus-
would thus be:                                             trial sector with extremely low productivity, such
                                                           that income falls below an acceptable minimum.
                          0         0                      Visible (open) unemployment was estimated at be-
      U = L- L*                                            tween 8 and 14 per cent. Adding low-income
                         OIL      OIL*
                                                           workers in the manner described above, the per-
                                                           centage rises to 20 per cent for males and 50 per
where L is the actual labour employed, L * is the
                                                           cent for females. The report on Iran gave priority
labour consistent with an acceptable level of in-
                                                           to population control (which we discuss in Chap-
come per person employed, OIL is the actual level
                                                           ter 6) but, as it reputably said in the draft of the
of productivity, OIL* is the acceptable level of
                                                           report, the· population problem cannot be solved
income per employed person, and 0 is output.
                                                           overnight! The report on Sri Lanka is distinctive
   Let us work an example. Suppose that the
                                                           for its thorough analysis of structural unemploy-
annual flow of output of an activity or service is £1
                                                           ment. There are three main types of structural
million and that the existing number employed is
                                                           imbalance in most developing countries which
10 000, giving a level of productivity of £100.
                                                           affect employment. One is between skills, attitudes
Now suppose that the acceptable level of pro-
                                                           and expectations on the one hand and oppor-
ductivity to produce an acceptable level of income
                                                           tunities on the other. This affects mainly educated
per person employed is £200. The income measure
                                                           people. Second, there is imbalance between re-
of unemployment is then:
                                                           gions. Third, there is the sheer lack of co-operating
                                                           factors for labour to work with, particularly capit-
      u=    1 000 000         1 000 000 = 5000             al and skilled managerial enterprise. We take up
               100               200                       some of these difficulties in later chapters.
taken place has served largely to benefit the few -        income. The data show fairly conclusively that
the richest 20 per cent of the population. Rural           inequality increases up to a certain stage of de-
and urban poverty are still widespread, and if             velopment and then declines, tracing out an in-
anything the degree of income inequality within            verted U-shape similar to the pioneer work of
the developing countries has increased. It should          Kuznets for the now developed countries. The
not come as a surprise, however, that the trans-           average Gini coefficient for forty-three developing
formation of economies from a primitive subsist-           countries is 0.467 compared with 0.392 for thir-
ence state into industrial societies, within a basically   teen developed countries. The maximum equalisa-
capitalist framework, should be accompanied in the         tion percentage is 35.8 for the developing countries
early stages by widening disparities in the personal       compared with 28.4 for the developed countries.
distribution of income. Some people are more in-           The greater degree of income inequality in the
dustrious than others, and more adept at accumu-           developing countries appears largely due to the
lating wealth than others. Opportunities cannot,           higher share of income received by the richest 5
in the very nature of things, be equal for all. In the     per cent of income recipients. In developing coun-
absence of strong redistributive taxation, income          tries this share is 28.7 per cent, compared with
inequality will inevitably accompany industrialisa-        19.9 per cent in developed countries. The share
tion because of the inequality of skills and wealth        going to the poorest 20 per cent in developing
that differences in individual ability and initiative,     countries is slightly higher than in the developed
and industrialisation, produce.                            countries, but there can be no comfort in this fact.
   The evidence for individual countries suggests,         The focus must be on absolute, as well as relative,
however, that income inequality ceases to increase         poverty; and the poorest in countries with average
at quite low levels of per capita income - at about        per capita incomes less than $1000 per annum
$300 per annum at 1965 prices, or at about $1500           must be very poor indeed. On average, the per
at 1992 prices. Beyond this level, income in-              capita income of the poorest 20 per cent of the
equality tends to decrease as industrialisation pro-       population in the typical developing country is
ceeds. Kuznets's work (1955, 1963) shows that in           about 30 per cent of the national average. As we
many of the present developed countries, the ex-           said earlier in the chapter, there are about 600
tent of inequality decreased in the later stages of        million people living on per capita incomes of less
industrialisation, and certainly the degree of in-         than $275 per annum at 1985 prices: 50 million in
equality in the developing countries is greater than       Latin America; 450 million in Asia, and 100 mil-
in the present developed countries, largely as a           lion in Africa.
result of the heavy concentration of income among              Several formidable barriers exist to raising the
the top 5 to 10 per cent of income recipients. The         living standards of the poorest, and to narrowing
work of Kravis (1960) also shows that the degree           the income distribution overall. There is the dualistic
of inequality first increases within countries and         nature of many economies (see Chapter 5), perpetu-
then declines.                                             ated by feudal land-tenure systems and urban bias
   The most comprehensive data assembled to                in the allocation of investment resources. There is
date are those by Adelman and Morris (1971), and           inequality in the distribution of education facilities
extended by Paukert (1973), which show the size            to contend with, particularly the lack of facilities
distribution for fifty-six countries, developed and        in rural areas where the poorest are concentrated.
developing (see Table 1.5). The table also shows           Third, there is disguised unemployment on the
two measures of income concentration calculated            land and underemployment and open unemploy-
from these figures - the Gini coefficient and the          ment in urban areas created by rural-urban migra-
maximum equalisation percentage, which indi-               tion, a shortage of investment resources, and
cates what percentage of total income would have           inappropriate technological choices. Until de-
to be shifted between the quintiles of income reci-        velopment policy comes to grips with these prob-
pients in order to achieve an equal distribution of        lems, there will continue to be large pockets of
                                                                      Development and Underdevelopment 33
Table 1.5 Size Distribution of Personal Income Before Tax in Fifty-Six Countries: Income Shares Received by
Quintiles of Recipients in the Neighbourhood of 1965
  Under $100
   Chad (1958)                     8.0   11.6    15.4   22.0   20.0   23.0     0.35           25.0             68
   Dahomey (1959)                  8.0   10.0    12.0   20.0   18.0   32.0     0.42           30.0             73
   Niger (1960)                    7.8   11.6    15.6   23.0   19.0   23.0     0.34           25.0             81
   Nigeria (1969)                  7.0    7.0     9.0   16.1   22.5   38.4     0.51           40.9             74
   Sudan (1969)                    5.6    9.4    14.3   22.6   31.0   17.1     0.40           30.7             97
   Tanzania (1964)                 4.8    7.8    11.0   15.4   18.1   42.9     0.54           41.0             61
   Burma (1958)                   10.0   13.0    13.0   15.5   20.3   28.2     0.35           28.5             64
   India (1956-7)                  8.0   12.0    16.0   22.0   22.0   20.0     0.33           24.0             95
   Madagascar (1960)               3.9    7.8    11.3   18.0   22.0   37.0     0.53           39.0             92
   Group average                   7.0   10.0    13.1   19.4   21.4   29.1     0.419          31.6             78.3
  $101-200
    Morocco (1965)                 7.1    7.4     7.7   12.4   44.5   20.6     0.50           45.4           180
    Senegal (1960)                 3.0    7.0    10.0   16.0   28.0   36.0     0.56           44.0           192
    Sierra Leone (1968)            3.8    6.3     9.1   16.7   30.3   33.8     0.56           44.1           142
    Tunisia (1971)                 5.0    5.7    10.0   14.4   42.6   22.4     0.53           44.9           187
    Bolivia (1968)                 3.5    8.0    12.0   15.5   25.3   35.7     0.53           41.0           132
    Ceylon (Sri Lanka) (1963)      4.5    9.2    13.8   20.2   33.9   18.4     0.44           32.5           140
    Pakistan (1963-4)              6.5   11.0    15.5   22.0   25.0   20.0     0.37           27.0           101
    South Korea (1966)             9.0   14.0    18.0   23.0   23.5   12.5     0.26           19.0           107
    Group average                  5.3    8.6    12.0   17.5   31.6   24.9     0.468          37.2           147.6
  $201-300
    Malaya (1957-8)               6.5    11.2    15.7   22.6   26.2   17.8     0.36           26.6           278
    Fiji (1968)                   4.0     8.0    13.3   22.4   30.9   21.4     0.46           34.7           295
    Ivory Coast (1959)            8.0    10.0    12.0   15.0   26.0   29.0     0.43           35.0           213
    Zambia (1959)                 6.3     9.6    11.1   15.9   19.6   37.5     0.48           37.1           207
    Brazil (1960)                 3.5     9.0    10.2   15.8   23.1   38.4     0.54           41.5           207
    Ecuador (1968)                6.3    10.1    16.1   23.2   19.6   24.6     0.38           27.5           202
    El Salvador (1965)            5.5     6.5     8.8   17.8   28.4   33.0     0.53           41.4           249
    Peru (1961)                   4.0     4.3     8.3   15.2   19.3   48.3     0.61           48.2           237
    Iraq (1956)                   2.0     6.0     8.0   16.0   34.0   34.0     0.60           48.0           285
    Philippines (1961)            4.3     8.4    12.0   19.5   28.3   27.5     0.48           35.8           240
    Colombia (1964)               2.2     4.7     9.0   16.1   27.7   40.4     0.62           48.0           275
    Group average                 4.8     8.0    11.3   18.1   25.7   32.0     0.499          38.5           244.4
  $301-500
    Gabon (1960)                  2.0     6.0     7.0 14.0     24.0 47.0       0.64           51.0           368
    Costa Rica (1969)             5.5     8.1    11.2 15.2     25.0 35.0       0.50           40.0           360
    Jamaica (1958)                2.2     6.0    10.8 19.5     31.3 30.2       0.56           41.5           465
    Surinam (1962)               10.7    11.6    14.7 20.6     27.0 15.4       0.30           23.0           424
    Lebanon (1955-60)             3.0     4.2    15.8 16.0     27.0 34.0       0.55           41.0           440
    Barbados (1951-2)             3.6     9.3    14.2 21.3     29.3 22.3       0.45           32.9           368
    Chile (1968)                  5.4     9.6    12.0 20.7     29.7 22.6       0.44           33.0           486
    Mexico (1963)                 3.5     6.6    11.1 19.3     30.7 28.8       0.53           39.5           441
    Panama (1969)                 4.9     9.4    13.8 15.2     22.2 34.5       0.48           36.7           490
    Group average                 4.5     7.9    12.3 18.0     27.4 30.0       0.494          37.6           426.9
34 Introduction
Table 1.5 Size Distribution of Personal Income Before Tax in Fifty-Six Countries: Income Shares Received by
Quintiles of Recipients in the Neighbourhood of 1965 (continued)
  $501-1000
    Republic of South Africa (1965)     1.9     4.2   10.2 26.4      18.0 39.4       0.58           43.7           521
    Argentina                           7.0    10.4   13.2 17.9      22.2 29.3       0.42           31.5           782
    Trinidad and Tobago (1957-8)        3.4     9.1   14.6 24.3      26.1 22.5       0.44           32.9           704
    Venezuela (1962)                    4.4     9.0   16.0 22.9      23.9 23.2       0.42           30.6           904
    Greece (1957)                       9.0    10.3   13.3 17.9      26.5 23.0       0.38           29.5           591
    Japan (1962)                        4.7    10.6   15.8 22.9      31.2 14.8       0.39           28.9           838
    Group average                       5.1     8.9   13.9 22.1      24.7 25.4       0.438          32.9           723.3
  $1001-2000
    Israel (1957)                       6.8    13.4   18.6 21.8      28.2   11.2     0.30           21.2          1243
    United Kingdom (1964)               5.1    10.2   16.6 23.9      25.0   19.0     0.38           28.1          1590
    Netherlands (1962)                  4.0    10.0   16.0 21.6      24.8   23.6     0.42           30.0          1400
    Federal Republic of
    Germany (1964)                      5.3    10.1   13.7   18.0    19.2 33.7       0.45           32.9          1667
    France (1962)                       1.9     7.6   14.0   22.8    28.7 25.0       0.50           36.5          1732
    Finland (1962)                      2.4     8.7   15.4   24.2    28.3 21.0       0.46           33.5          1568
    Italy (1948)                        6.1    10.5   14.6   20.4    24.3 24.1       0.40           28.8          1011
    Puerto Rico (1963)                  4.5     9.2   14.2   21.5    28.6 22.0       0.44           32.1          1101
    Norway (1963)                       4.5    12.1   18.5   24.4    25.1 15.4       0.35           24.9          1717
    Australia (1966-7)                  6.6    13.4   17.8   23.4    24.4 14.4       2.30           22.2          1823
    Group average                       4.7    10.5   15.9   22.2    25.7 20.9       0.401          29.0          1485.2
absolute poverty and a marked degree of inequal-                  countries have a comparatively equal income dis-
ity in income distribution. In deciding on the                    tribution while many of the slowest growing coun-
allocation of investment resources and the choice                 tries have a high degree of income inequality. It
of projects, a high weight needs to be given to                   appears that income inequality is not necessary for
projects which raise the income of the poorest in                 high levels of saving and investment or other fac-
the income distribution (see Chapter 8). Fortu-                   tors that contribute to fast growth.
nately, evidence from the World Bank does not
suggest that growth and equity necessarily con-
flict. If anything, countries with a greater degree of            • Growth and Distribution
equality have grown fastest. This is shown in Fig-
ure 1.2 opposite where the growth of income per                     Progress towards achieving the twin objectives of
head is measured on the vertical axis, and income                   faster growth and a more equal distribution of
inequality is measured on the horizontal axis, and                  income can be examined simultaneously by con-
it can be seen that many of the fastest growing                     structing poverty-weighted indices of growth.
                                                                         Development and Underdevelopment 35
Figure 1.2 Income Inequality and Economic Growth                     The idea of constructing poverty weighted in-
                                                                  dices of growth is to give at least equal weight to
  Percentage GOP growth per head, 1965-89
                                                                  all income groups in society, if not a greater
  8
                                                                  weight to the poor, in order to obtain a better
  7                                                               measure of the growth of overall welfare combin-
                                                                  ing the growth of income with its distribution.
  6                                                                  In the above example, for instance, if each
                                                                  group is given an equal weight of one-third, the
  5                                                               measured growth of welfare becomes:
 4
                                                                       % growth of 'welfare'   = 1(0.33) + 1(0.33)
                                                                                               + 10(0.33) = 4%
  2                                                               which is much less than the rate of growth shown
                                                                  by the conventional measure of GNP growth when
                                                                  distributional considerations are taken into
                                                                  account.
  0
                                                                     A society could go further and say it places no
-1                                                                value or weight on income growth for the richest
      0   5   10   15    20       25   30        35     40   45   third of the population, and places all the weight
                     Income inequality                            on the lower income groups with, say, a 60 per
  The mulliple of the income of the richest 20%                   cent weight to the bottom third and a 40 per cent
  to the income of the poorest 20%                                weight to the middle third. The growth of 'wel-
Source: World Development Report 1991.                            fare' would then look derisory:
Agriculture Organisation that there are at least          portant for brain development in the first three
one billion people in the world suffering from            years of life, during which the brain grows to 90
various degrees of malnutrition, including two-           per cent of its full size. Brain damage due to pro-
thirds of the world's one billion children. Mal-          tein deficiency is irreversible.
nutrition among children is particularly serious
because it stunts growth and mental development,
and adds another element to the vicious circle of
poverty. Malnutrition is also a major cause of
                                                          I   Poverty, Famine and
                                                              Entitlements
infant mortality, the rates of which are more than
twice as high in developing countries as in de-           Malnutrition is caused by a lack of access to food,
veloped countries. The costs of treating various          but this does not only depend on the availability of
forms of malnutrition are trivial relative to the         food; it also depends on people's entitlement to
tangible benefits, and to the costs of treating the       food. Vast sections of the population may go short
consequences. To prevent malnutrition in children         of food, and experience famine conditions, not
from the age of six months to three years, which is       primarily because food has become scarce, but
a child's most vulnerable period, can cost as little      because their entitlement to food has been im-
as $50 at current prices. The annual cost of pre-         paired. This is the powerful thesis put forward by
venting malnutrition is about the same as the daily       Professor Sen (1984), who argues that to under-
cost of treating its effects. Vitamin A deficiency is a   stand poverty and starvation, or malnutrition
cause of blindness. The annual cost of supporting         associated with it, it is necessary to understand
a blind person is at least 1000 times the annual          both ownership patterns and exchange entitle-
ingredient cost of the vitamin A needed for preven-       ments, which requires in turn an understanding of
tion. Iodate deficiency is a cause of goitre, which       modes of production and the class· structure. He
leads to cretinism and deaf-mutism. The cost of           attempts to document the theory drawing on the
iodate to prevent goitre is one-sixth of a cent per       experience of major famines such as the Great
person per year. And so one could go on. Preven-          Bengal famine of 1943; the Ethiopian famine of
tion is better than cure not only for the individual      1973-5; the famine in the Sahel region of Africa in
but also in a very real economic sense for the            the early 1970s, and the Bangladesh famine of
welfare of society as a whole.                            1974. It seems that some of the worst famines
    The relation between low-income and food in-          occurred with no significant fall in food avail-
take is two-way. Low income is a cause of mal-            ability per head.
nutrition. Malnutrition in turn is a cause of low            What does the entitlement to food depend on?
income by impairing working efficiency and pro-           Above all, it depends on the ability of individuals
ductivity. All too little is known about the second       to exchange productive resources and goods for
relationship. But we do know that the food re-            food. This depends in turn on such factors as the
quirements considered by nutritionists to be neces-       ownership and employment status of individuals
sary for efficient working and healthy living are far     (for example, whether they are owners of land,
greater than the levels achieved by a large minority      labourers, peasant farmers, sharecroppers, etc.);
of the population in developing countries. Calorie        productivity; non-working income in the form of
deficiency causes loss of body weight, tiredness,         subsidies and transfer payments; and on the terms
listlessness, and a deterioration of mental faculties.    of trade between food and other goods. Exchange
Calories are also required for the absorption of          entitlements may deteriorate independently of a
protein which is otherwise used up for energy.            general decline in the supply of food which raises
Protein deficiency causes such conditions as              its price and worsens the terms of trade for other
kwashiorkor (the bloated stomachs and staring             goods. Job opportunities may diminish; real wages
eyes we see on our television screens), which may         or productivity may fall, and other people may
cause death in children. Protein is particularly im-      become better off and demand more food. During
                                                                       Development and Underdevelopment 3 7
the Great Bengal famine of 1943, 3 million people              kept pace with population growth and there has
died, yet in terms of the total availability of food           been no margin of safety or very little provision
grains, 1943 was not a subnormal year. Starvation              for improving the distribution of food supplies. A
occurred because food entitlements shrunk as a                 dangerous dependence has grown up on North
result of first, a rise in the price of food due to            America and the EEC. In 1972, for the first time
military procurement, secondly, because the price              since the war, world food production actually fell.
of other commodities fell as more monetary de-                 In 1973 the world was threatened with a food
mand was switched to food, and thirdly, because                crisis. Stocks of wheat amounted to only four
of a fall in the output of other goods. Because of             weeks of world consumption. A crop failure in just
their ownership position, however, those in rural              one major producing area would have spelt disas-
areas suffered less than the urban poor. The ab-               ter. Disaster was averted by reasonably good
sence of famine in China and other socialist coun-             weather and harvests. But the situation is still pre-
tries is not so much the result of increases in food           carious and malnutrition persists. It is an intoler-
production per head, but the result of a shift in the          able situation that year in and year out, at the end
entitlement system through guaranteed employ-                  of the twentieth century, millions of people should
ment and social security provisions.                           have their very lives threatened by the vagaries of
   The policy message is that the alleviation of               the weather, or by sudden political upheavals
famine requires the establishment and preserva-                which impair their ability to import food. How
tion of adequate entitlements to food, not simply              has this precarious situation arisen? The answer is
the provision of more food - important as that                 simple enough: through the neglect of agriculture.
may be. Public action requires programmes of                   If blame is to be apportioned it must lie jointly
food security which guarantee that people have                 with the international development agencies and
access to enough food at all times, and nutrition              the developing countries themselves. In the early
programmes working through clinics targeted par-               1950s the developing countries saw industrialisa-
ticularly at children and pregnant women. 1                    tion as the road to development and starved agri-
                                                               culture of resources. International development
                                                               agencies supported industrialisation plans and
• Food Production                                              rarely lent money for agricultural projects. Tech-
                                                               nically, it is well within the world's grasp to in-
At the global level the problem of nutrition, and of           crease agricultural production on an immense
food supply to those who need it, is also essentially          scale. What is required is the initiative and politi-
a distribution problem. It is not a capacity prob-             cal will, both within the international community
lem in the sense that the world is physically incap-           and the developing countries, to make the radical
able of producing enough food to feed its                      changes necessary. As far as the international com-
inhabitants adequately. Since the Second World War             munity is concerned, it could increase its foreign
global food production has generally kept pace                 aid for agricultural projects, especially where this
with population growth, and the world is prob-                 could lead to a significant breakthrough in agri-
ably capable of feeding itself ten times over if need          cultural production. For example, the investment
be. The worrying factor that needs to be stressed,             of $3 billion to eliminate the tsetse fly in infested
however, is that most of the increase in world food            areas of tropical Africa could open up seven mil-
production that has taken place in recent years has            lion square kilometres to livestock and crop pro-
been in the granary of North America. Food pro-                duction. There must also be genuine international
duction in the developing countries has barely                 co-operation and agreement to guarantee world
                                                               food supplies. One possibility would be to have a
1 See the work of Dreze and Sen (1989) for the hunger and
                                                               system of granaries strategically placed across the
poverty project of the World Institute for Development Econ-   world under international supervision, which
omics Research (WIDER).                                        could store the food surpluses of the 'north' and
38     Introduction
release them at time of need. This in no way need       to low life expectancy and a high incidence of
preclude or hinder the fundamental agricultural         infant and child mortality. Tables 1.6 and 1.7
reforms that everyone recognises are necessary in       present some selected statistics showing changes in
many of the poorer countries in Africa and else-        the level of food production per head; daily per
where if there is to be self-sustaining growth. The     capita calorie intake as a percentage of require-
desirability of a development policy based on           ments, and various health-related indicators in-
a healthy agricultural sector is emphasised in          cluding the number of people that share a doctor,
Chapter 3.                                              the percentage of the population with access to
   Lack of adequate food supply and nutrition,          safe water, life expectancy at birth and rates of
combined with rudimentary health facilities, leads      infant and child mortality.
Table 1.6 Health Related Indicators: Food Production, Calorie Intake and Doctors
                                         Average index of
                                         food production       Daily calorie supply     Population per
                                            per capita             (per capita)            doctor
                                         (1979-81 = 100)
                                             1988-90           1965          1989           1984
Table 1.6 Health Related Indicators: Food Production, Calorie Intake and Doctors (continued)
                                          Average index of
                                           food production     Daily calorie supply      Population per
                                              per capita           (per capita)             doctor
                                          (1979-81 = 100)
                                              1988-90           1965         1989               1984
Table 1.6 Health Related Indicators: Food Production, Calorie Intake and Doctors (continued)
                                          Average index of
                                           food production     Daily calorie supply      Population per
                                              per capita           (per capita)             doctor
                                          (1979-81 = 100)
                                              1988-90           1965         1989               1984
Table 1.6 Health Related Indicators: Food Production, Calorie Intake and Doctors (continued)
                                          Average index of
                                          food production      Daily calorie supply      Population per
                                             per capita            (per capita)             doctor
                                         (1979-81 = 100)
                                             1988-90            1965         1989              1984
   Portugal                                    106            2 647         3 495               140
   Korea, Rep.                                 106            2 178         2 852              1160
   Greece                                      103            3 019         3 825                350
   Saudi Arabia                                189            1 850         2 874                730
   Iraq                                         92            2150          2 887              1 740
   Libya                                        78             1 875        3 324               690
   Oman                                         ..               ..           ..               1700
  High-income economies                        100 w          3 091 w       3 409w              470w
    OECD members                               101 w          3 099 w       3 417 w             460w
    Other                                       SOw           2546 w        3 072 w             880 w
   Ireland                                     109            3 605        3 778                 680
   Israel                                       95            2 799        3 174                 350
   Spain                                       112            2 770        3 572                 320
   Singapore                                    69            2 285        3 198               1410
   Hong Kong                                    80            2 486        2 853               1 070
   New Zealand                                 102            3 238         3 362               580
   Belgium                                     108               ..           ..                330
   United Kingdom                              105            3 304        3 149                 ..
   Italy                                        94            3 097        3 504                230
   Australia                                    95            3 053        3 216                440
   Netherlands                                 111            3 024        3 151                450
   Austria                                     106            3 244        3 495                390
   France                                      103            3 355        3 465                 320
   United Arab Emirates                        ..             2 639        3 309               1 020
   Canada                                      108            3 127        3 482                 510
   United States                                92            3 234        3 671                470
   Denmark                                     126            3 420        3 628                400
   Germany                                     112            3 088        3 443                380
   Norway                                      100            3 036        3 326                450
   Sweden                                       99            2 930        2 960                390
                                   Under-5
                                mortality rate              Life expectancy at birth (years)
                            (per 1000 live births)
                                                            Female                     Male
                             Female       Male
                              1990        1990       1965            1990       1965           1990
                                               Under-5
                                            mortality rate              Life expectancy at birth (years)
                                        (per 1000 live births)
                                                                        Female                    Male
                                         Female       Male
                                          1990        1990       1965            1990      1965            1990
  Dominican Rep.                          68           75        57              69        54              65
  Papua New Guinea                        70           84        44              56        44              54
  Guatemala                               76           91        50              66        48              61
  Morocco                                 84           99        51              64        48              60
  Cameroon                               117          134        47              59        44              55
  Ecuador                                 58           72        57              68         55             64
  Syrian Arab Rep.                        55           67        54              68         51             64
  Congo                                  172          185        47              56         41             50
  El Salvador                             63           76        56              68         53             60
  Paraguay                                33           44        67              69         63             65
  Peru                                    78           93        52              65         49             61
  Jordan                                  62           68        52              69         49             66
  Colombia                                40           49        61              72         57             66
  Thailand                                28           38        58              68         54             63
  Tunisia                                 50           63        52              68         51             66
  Jamaica                                 16           22        67              75         64             71
  Turkey                                  73           80        55              69         52             64
  Romania                                 23           32        70              73         66             67
44   Introduction
                                              Under-5
                                            mortality rate              Life expectancy at birth (years)
                                        (per 1000 live births)
                                                                        Female                    Male
                                        Female        Male
                                         1990         1990       1965            1990      1965            1990
  Poland                                  18           23        72              75        66              67
  Panama                                  21           29        65              75        62              71
  Costa Rica                              18           22        66              78        63              73
  Chile                                   18           23        63              76        57              69
  Botswana                                41           53        49              69        46              65
  Algeria                                 83           91        51              66        49              65
  Bulgaria                                14           19        73              76        68              70
  Mauritius                               21           28        63              73        59              67
  Malaysia                                17           22        60              72        56              68
  Argentina                               30           40        69              75        63              68
  Iran, Islamic Rep.                     103          122        52              63        52              63
  Albania                                 28           33        67              75        65              70
  Angola                                 207          230        37              48        34              44
  Lebanon                                 0   0        0   0     64              0   0     60              0   0
  Mongolia                                76           91        51              64        49              61
  Namibia                                119          140        47              59        44              56
  Nicaragua                               66           80        52              66        49              63
  Yemen, Rep.                            172          191        41              49        39              48
  Upper-middle-income                     49w          60w       62w             71w       58 w            65 w
  Mexico                                  41           51        61              73        58              66
  South Africa                            81           98        54              65        49              59
  Venezuela                               36           45        65              73        61              67
  Uruguay                                 22           28        72              77        65              70
  Brazil                                  62           75        59              69        55              63
  Hungary                                 16           22        72              75        67              67
  Yugoslavia                              25           30        68              76        64              69
  Czechoslovakia                              13       17        73              75        67              68
  Gabon                                  148          167        44              55        41              52
  Trinidad and Tobago                     25           34        67              74        63              69
  Portugal                                14           17        68              78        62              72
  Korea, Rep.                             17           24        58              73        55              67
  Greece                                      13       15        72              80        69              74
  Saudi Arabia                            72           87        50              66        47              63
  Iraq                                    81           89        53              66        51              61
  Libya                                   84          100        51              64        48              60
  Oman                                    36           46        45              68        43              64
                                                                  Development and Underdevelopment 45
                                               Under-5
                                             mortality rate              Life expectancy at birth (years)
                                         (per 1000 live births)
                                                                         Female                    Male
                                         Female        Male
                                          1990         1990       1965            1990      1965            1990
   As far as food production per capita is con-           poorest countries life expectancy is little more
cerned, it has risen on average by just over 1 per        than 40 years. The infant and child mortality rates
cent per annum in the last ten years in the low-          in poor countries are particularly high relative to
income countries, but hardly at all if China and          the rich countries. Infant mortality is higher than
India are excluded from the sample. In the middle-        100 per 1000 in some poor countries compared
income countries progress has also been very slow         with 8 per 1000 in rich countries. And while child
and in some low and middle-income countries per           mortality averages ten per 1000 in the rich coun-
capita food production actually fell.                     tries, it averages 70 per 1000 in the low-income
   Daily per capita calorie intake shows most of          countries (excluding China and India).
the poorest countries below the required level of
2500, while the 'obese' industrial countries have an
average intake of 40 per cent above requirements.         • Education
   The average people to doctor ratio in developed
countries is 500 : 1, while in low-income and             There has been an enormous growth in public
middle-income countries over 5000 people share            expenditure on education in developing countries
one doctor.                                               in recent years - some would say too much - but
   In the light of the above facts, it is no surprise     expenditure per capita is still only one-twelfth of
that life expectancy is low in developing countries       that in developed countries. The statistics in Table
compared to the rich industrialised countries. In         1.8 indicate the relative underprovision of facili-
low- and middle-income countries we find that life        ties and opportunities in poor countries, and the
expectancy at birth averages 63 years compared to         still low rate of literacy in the poorest countries.
77 years in developed countries. In many of the           The adult literacy rate in the low-income countries
Primt;try Secondary
  Mozambique                                     37             68      3              5      0          0
  Tanzania                                       32             63      2              4      0          0
  Ethiopia                                       11             38      2             15      0          1
  Somalia                                        10               ..    2              ..     0           ..
  Nepal                                          20             86      5             30      1          6
  Chad                                           34             57      1              7      ..         1
  Bhutan                                          7             26      0              5      ..          ..
  Lao PDR                                        40          111        2             27      0          2
  Malawi                                         44           67        2              4      0          1
  Bangladesh                                     49           70       13             17      1          4
                                                                   Development and Underdevelopment 4 7
Primary Secondary
  Burundi                                    26             71         1              4     0           1
  Zaire                                      70             78         5             24     0           2
  Uganda                                     67             77         4             13     0           1
  Madagascar                                 65             92         8             19     1           4
  Sierra Leone                               29             53         5             18     0           1
  Mali                                       24             23         4              6     0           ..
  Nigeria                                    32             70         5             19     0           3
  Niger                                      11             28         1              6      ..         1
  Rwanda                                     53             69         2              7     0           1
  Burkina Faso                               12             35         1              7     0           1
  India                                      74          98           27             43     5            ..
  Benin                                      34          65            3              ..    0           2
  China                                      89         135           24             44     0           2
  Haiti                                      so          84            5             19     0            ..
  Kenya                                      54          94            4             23     0           2
  Pakistan                                   40          38           12             20      2          5
  Ghana                                      69          75            13            39      1          2
  Central African Rep.                       56          64             2            11      ..         1
  Togo                                       55         103             5            22      0          3
  Zambia                                     53          95             7            20      ..         2
  Guinea                                     31          34             5             9      0          1
  Sri Lanka                                  93         107            35            74      2          4
  Mauritania                                 13          51             1            16      ..         3
  Lesotho                                    94         110             4            26      0          4
  Indonesia                                  72         118            12            47      1           ..
  Honduras                                   80         108            10             ..     1         10
  Egypt, Arab Rep.                           75          97            26            81      7         20
  Afghanistan                                16          24             2             8      0          1
  Cambodia                                   77              ..         9             ..     1           ..
  Liberia                                    41              ..         5             ..     1          3
  Myanmar                                    71         103            15            24      1          5
  Sudan                                      29              ..         4             ..     1          3
48   Introduction
Primary Secondary
  Bolivia                                     73         81         18            34      5          23
  Zimbabwe                                   110        125          6            52      0           6
  Senegal                                     40         58          7            16      1           3
  Philippines                                113        111         41            73     19          28
  Cote d'Ivoire                               60             ..      6            20      0           ..
  Dominican Rep.                             87             95      12             ..     2           ..
  Papua New Guinea                           44             73       4            13      ..          ..
  Guatemala                                  50          79          8            21      2           ..
  Morocco                                    57          68         11            36      1          11
  Cameroon                                   94         101          5            26      0           3
  Ecuador                                     91        118         17            56      3          25
  Syrian Arab Rep.                            78        108         28            54      8          20
  Congo                                      114             ..     10             ..     1           6
  El Salvador                                 82         78         17            26      2          17
  Paraguay                                   102        106         13            29      4           8
  Peru                                        99        123         25            67      8          32
  Jordan                                      95             ..     38             ..     2           ..
  Colombia                                    84        107         17            52      3          14
  Thailand                                    78         86         14            28      2          16
  Tunisia                                     91        115         16            44      2           8
  Poland                                     104         99         69            81     18          20
  Panama                                     102        107         34            59      7          22
  Costa Rica                                 106        100         24            41      6          27
  Chile                                      124        100         34            75      6          19
  Botswana                                    65        111          3            37      ..          3
  Algeria                                     68         94          7            61      1          11
  Bulgaria                                   103         97         54            75     17          26
  Mauritius                                  101        103         26            53      3           2
  Malaysia                                    90         96         28            59      2           7
  Argentina                                  101        111         28            74     14          41
                                                                   Development and Underdevelopment 49
Primary Secondary
Upper-middle-income 99 w 104 w 26 w 56 w Sw 17 w
  Mexico                                      92        114            17            53      4         15
  South Africa                                90             ..        15             ..     4           ..
  Venezuela                                   94        105            27            56      7         28
  Uruguay                                    106        106            44            77      8         50
  Brazil                                     108        105            16            39      2         11
  Hungary                                    101            94         ..            76     13         15
  Yugoslavia                                 106            95         65            80     13         19
  Czechoslovakia                              99            92         29            87     14         18
  Gabon                                      134             ..        11             ..     ..         4
  Trinidad and Tobago                         93            97         36            83      2          6
  Portugal                                    84        111            42            53      5         18
  Korea, Rep.                                101        108            35            86      6         38
  Greece                                     110        102            49            97     10         28
  Saudi Arabia                                24         76             4            46      1         12
  Iraq                                        74         96            28            47      4         14
  Libya                                       78             ..        14             ..     1           ..
  Oman                                        ..         102           ..            48      ..         4
Primary Secondary
  World                                       85 w       105 w       31 w          52 w    9w         16 w
w: means weighted average.
Source: World Development Report, 1992.
averages just 60 per cent compared to 78 per cent       education, but the drop-out rate even from prim-
in the middle-income countries and 99 per cent in       ary schools is often high. Secondary education is
rich countries. While there has been a major im-        still a luxury in most developing countries, as is
provement in the literacy rate in most countries        higher education. This is not to say the more edu-
over the last two decades, the absolute number of       cational provision, the better. Education confers
those illiterate has actually increased. Except in      undoubted benefits on individuals and societies,
the poorest countries, most children now have           but it can also confer costs by exacerbating certain
access to some form of rudimentary primary              development difficulties. Education inculcates
                                                                   Development and Underdevelopment          51
knowledge and skills which raise productivity, but          way as to make the structural transformation of
it can also perpetuate inequalities in societies and        their economies in the direction of industrial de-
impart values, attitudes and aspirations which are          velopment more difficult. There may be a genuine
inimical to development; for example, the adop-             dilemma here, and a trade-off between growth and
tion of practices and institutional structures in-          basic needs. It depends on whether the scale of
appropriate to the environment of the country.              resource transfer increases as the allocation ·is
Societies need to look carefully at the nature and          changed and on the degree of complementarity
allocation of educational provision in relation to          between the two strategies. On the one hand it can
the needs and aspirations of the society. It would          be argued that the provision of basic needs is a
be hard to argue, however, that a higher rate of            form of consumption transfer- away from invest-
literacy and numeracy and more training in voca-            ment - so that growth will be retarded and the
tional skills would not be in the private and social        basic needs strategy will then not be sustainable in
interest. The problem again is one of competing             the long run. On the other hand it can be argued
claims on limited resources.                                that the provision of basic needs is a form of
                                                            investment in human capital, which may be as
                                                            productive as investment in industry.
• Basic Needs                                                  Whatever the conflict here, it can also be
                                                            argued, as Singh (1979) does convincingly, that
The provision of health services, education, hous-          there must be an important complementarity and
ing, sanitation, water supply and adequate nutri-           interrelationship between meeting basic needs, in-
tion, came to be known in development circles in            dustrialisation and accelerated structural change,
the 1970s (and supported by the World Bank) as              and both strategies need to be, and can be, pur-
the basic needs approach to economic develop-               sued side by side. Specifically, that to meet basic
ment. The rationale of the approach was that the            needs on a sustainable basis it is necessary for
direct provision of such goods and services is likely       productive structures to be transformed in favour
to relieve absolute poverty more immediately than           of industry, and that a properly conceived basic
alternative strategies which simply attempt to              needs strategy which achieves a more equitable
accelerate growth or which rely on raising the              distribution of income should help industrialisa-
incomes and productivity of the poor. Arguments             tion.
used in support of this change in strategy were as             The International Labour Organisation (ILO)
follows: growth strategies usually fail to benefit          has emphasised in its various publications (see, for
those intended; the productivity and incomes of             example, Meeting Basic Needs) that the satisfac-
the poor depend in the first place on the direct            tion of basic needs depends crucially on the estab-
provision of health and education facilities; it rna¥       lishment of a New International Economic Order,
take a long time to increase the incomes of the             which according to the Lima Declaration of 1975
poor so that they can afford basic needs; in any            has as its aim to increase the developing countries'
case, the poor tend not to spend their income               share of world manufacturing output to 25 per
wisely and certain facilities such as water supply          cent by the year 2000 (compared to 15 per cent
and sanitation can only be provided publicly;               today). Singh shows that the provision of basic
lastly, it is difficult to help all the poor in a uniform   needs on a sustainable basis requires accelerated
way in the absence of the provision of basic needs.         growth of 7-8 per cent per annum, which in turn
   While these arguments undoubtedly contained              implies a growth of manufacturing output of 10 to
an element of truth, there was some suspicion               11 per cent. This is the rate of growth of manufac-
within the developing countries themselves that             turing needed to reach the Lima target of a 25 per
the international propagation of this new doctrine          cent share of world manufacturing output by the
was an attack on their sovereignty and would alter          year 2000. Thus the basic needs strategy and
the nature of international assistance in such a            structural transformation in the direction of indus-
52    Introduction
try lead to the same conclusion as far as industrial                 Development Report which gives alternative mea-
growth is concerned. Whether both objectives are                     sures of the economic well-being or progress of
achieved largely depends on the overall economic                     nations which do not necessarily accord with the
strategy pursued. The experience of several coun-                    usual measure of the level or growth of income per
tries shows that the rapid development of industry                   head. As the UNDP Report says 'although GNP
and the provision of basic needs are quite compat-                   growth is absolutely necessary to meet all essential
ible. China has achieved remarkable progress in                      human objectives, countries differ in the way that
both directions by recognising the importance of                     they translate growth into human development'.
gearing industrial development to the needs of                       The UNDP defines human development as a pro-
agriculture and the rural sector, by encouraging                     cess of 'enlarging people's choices'. This depends
the use of modern inputs into agriculture and by                     not only on income but also on social indicators
encouraging the development of small scale rural                     such as health provision, education, leisure time
industries. Other, non-socialist, countries have a                   and so on. The UNDP thus constructs a Human
good record in the provision of basic needs judged                   Development Index which combines a measure of
by the level of life-expectancy in relation to per                   income per head with measures of life expectancy
capita income. These tend to be societies where                      and adult literacy. Countries are then ranked by
income is more equitably distributed or which                        the index and compared with their income per
make special provision, such as Sri Lanka. Coun-                     head ranking. The results are shown in Table 1.9,
tries with a poor performance in the provision of                    ranking from lowest to highest. It can be seen that
basic needs illustrate that a basic needs strategy                   some countries that rank low by per capita income
needs to be comprehensive, otherwise failure in                      rank high by the human development index, and
one respect will nullify progress in others. 1                       vice versa. In the former category of countries are:
    World Bank lending for poverty alleviation                       Costa Rica, Cuba, Mexico, Venezuela, Jamaica,
programmes rose quite dramatically during the                        China, Chile, Uruguay and Sri-Lanka. In the latter
1970s and 1980s. The amount spent on poverty                         category of countries, note that the United States
alleviation programmes rose from US $500 mil-                        ranks only 19th on the human development index,
lion in 1970 to $3300 million in 1989, or from 8                     but second according to the level of per capita
to 20 per cent of the total lending programme. Of                    income. Other rich countries which score low on
the total in 1989, $1800 million was spent on                        human development are Kuwait, United Arab
basic needs including education, health and water                    Emirates, Libya and Saudi Arabia.
supply compared to $340 million in 1970. The                            The Human Development Index (HOI) is con-
rest was spent on rural development and small-                       structed as follows. First a deprivation index is
scale industrial projects. Industry's share of total                 constructed for each of the three variables - per
lending remained at just over 30 per cent; while                     capita income, life expectancy and adult literacy.
the share of total lending going to infrastructure                   The deprivation index is measured as the differ-
fell from 58 per cent to 37 per cent between 1970                    ence between the desirable (maximum) value of
and 1989.                                                            the index minus the actual value of the index
                                                                     divided by the difference between the desirable
                                                                     (maximum) and minimum values of the index
• Human Development Index                                            (those actually observed across countries). The
                                                                     bigger the difference between desirable and actual,
In 1990, the United Nations Development Pro-                         the higher the degree of deprivation. The depriva-
gramme (UNDP) produced its first annual Human                        tion indices are then averaged, and the human
1 For an evaluation of country experience, and of the com-
                                                                     development index is taken as 1 -average depriva-
plementarities and trade-offs in the provision of basic needs, see   tion index. To give an example: if the maximum
Streeten eta/. (1981), and Stewart (1985).                           (desirable) adult literacy index is 100 per cent, the
                                                                                        Development and Underdevelopment 53
                             "
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 Niger                          45   14     452       0.116      20       1   China                   70       69     2 124      0.716       22     66
 Mali                           45   17     543       0.143      15       2   Libya                   62       66     7 250      0.719     103      67
 Burkina Faso                   48   14     500       0.150      13       3   Sourh Africa            61       70     4 981      0.731      82      68
 Sierra Leone                   42   30     480       0.150      27       4   Lebanon                 68       78     2 250      0.735      78      69
 Chad                           46   26     400       0.157       4       5   Mongolia                64       90     2 000      0.737      57      70
 Guinea                         43   29     500       0.162      31       6   Nicaragua               64       88     2 209      0.743      54      71
 Somalia                        46   12   1 000       0.200      23       7   Turkey                  65       74     3 781      0.751      71      72
 Mauritania                     47   17     840       0.208      40       8   Jordan                  67       75     3 161      0.752      76      73
 Afghanistan                    42   24   1 000       0.212      17       9   Peru                    63       85     3 129      0.753      74      74
 Benin                          47   27     665       0.224      28      10   Ecuador                 66       83     2 687      0.758      68      75
 Burundi                        50   35     450       0.235      18      11   Iraq                    65       89     2 400      0.759      96      76
 Bhutan                         49   25     700       0.236       3      12   United Arab Emirates    71       60    12 191      0.782     127      77
 Mozambique                     47   39     500       0.239      10      13   Thailand                66       91     2 576      0.783      55      78
 Malawi                         48   42     476       0.250       7      14   Paraguay                67       88     2 603      0.784       65     79
 Sudan                          51   23     750       0.255      32      15   Brazil                  65       78     4 307      0.784      85      80
 Central African Republic       46   41     591       0.258      29      16   Mauritius               69       83     2 617      0.788      75      81
 Nepal                          52   26     722       0.273       8      17   Norrh Korea             70       90     2 000      0.789      67      82
 Senegal                        47   28   1 068       0.274      43      18   Sri Lanka               71       87     2 053      0.789      38      83
 Ethiopia                       42   66     454       0.282       1      19   Albania                 72       85     2 000      0.790      61      84
 Zaire                          53   62     220       0.294       5      20   Malaysia                70       74     3 849      0.800      80      85
 Rwanda                         49   47     571       0.304      26      21   Colombia                65       88     3 524      0.801      72      86
 Angola                         45   41   1 000       0.304      58      22   Jamaica                 74       82     2 506      0.824      62      87
 Bangladesh                     52   33     883       0.318       6      23   Kuwait                  73       70    13 843      0.839     122      88
 Nigeria                        51   43    "668       0.322      36      24   Venezuela               70       87     4 306      0.861      95      89
 Yemen Arab Rep.                52   25   1 250       0.328      47      25   Romania                 71       96     3 000      0.863      84      90
 Liberia                        55   35     696       0.333      42      26   Mexico                  69       90     4 624      0.876      81      91
 Togo                           54   41     670       0.337      24      27   Cuba                    74       96     2 500      0.877      66      92
 Uganda                         52   58     511       0.354      21      28   Panama                     72    89     4 009      0.883      88      93
 Haiti                          55   38     775       0.356      34      29   Trinidad and Tobago        71    96     3 664      0.885     100      94
 Ghana                          55   54     481       0.360      37      30   Portugal                   74    85     5 597      0.899      94      95
 Yemen, PDR                     52   42   1 000       0.369      39      31   Singapore                  73    86    12 790      0.899     110       96
 Cote d'Ivoire                  53   42   1 123       0.393      52      32   South Korea                70    95     4 832      0.903      92       97
 Congo                          49   63     756       0.395      59      33   Poland                     72    98     4 000      0.910      83       98
 Namibia                        56   30   1500        0.404      60      34   Argentina                  71    96     4 647      0.910      89       99
 Tanzania                       54   75     405       0.413      12      35   Yugoslavia                 72    92     5 000      0.913      90      100
 Pakistan                       58   30   1 585       0.423      33      36   Hungary                    71    98     4 500      0.915      87      101
 India                          59   43   1 053       0.439      25      37   Uruguay                    71    95     5 063      0.916      86      102
 Madagascar                     54   68     634       0.440      14      38   Costa Rica                 75    93     3 760      0.916      77      103
 Papua New Guinea               55   45   1 843       0.471      50      39   Bulgaria                   72    93     4 750      0.918      99      104
 Kampuchea, Dem.                49   75   1 000       0.471       2      40   USSR                       70    99     6 000      0.920     101      105
 Cameroon                       52   61   1 381       0.474      64      41   Czechoslovakia             72    98     7 750      0.931     102      106
 Kenya                          59   60     794       0.481      30      42   Chile                      72    98     4 862      0.931      73      107
 Zambia                         54   76     717       0.481      19      43   Hongkong                   76    88    13 906      0.936     111      108
 Morocco                        62   34   1 761       0.489      48      44   Greece                     76    93     5 500      0.949      98      109
 Egypt                          62   45   1 357       0.501      49      45   East Germany               74    99     8 000      0.953     115      110
 Laos                           49   84   1 000       0.506       9      46   Israel                     76    95     9 182      0.957     108      111
 Gabon                          52   62   2 068       0.525      93      47   USA                        76    96    17 615      0.961     129      112
 Oman                           57   30   7 750       0.535     104      48   Austria                    74    99    12 386      0.961     118      113
 Bolivia                        54   75   1 380       0.548      44      49   Ireland                    74    99     8 566      0.961     106      114
54   Introduction
                           "
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minimum is 50 per cent, and the actual is 70 per                                        modities' with a high income elasticity of demand.
cent, then literacy deprivation is measured as                                              Naturally enough in this schema, the develop-
(100 - 70) I (100 - 50) = 30/50 = 0.6. If this was                                      ing countries get identified with primary produc-
the only index, the HDI would be 1 - 0.6 = 0.4.                                         tion, the more developed countries with the
                                                                                        production of manufactured goods, and the ma-
                                                                                        ture developed economies with a high percentage
• The Stages of Development                                                             of their resources in the service sector. There can
                                                                                        be no dispute that resource shifts are an integral
It is often argued that countries pass through                                          part of the development process, and that one of
phases during the course of development and that                                        the main determinants of these shifts is a difference
by identifying these stages, according to certain                                       in the income elasticity of demand for commod-
characteristics, a country can be deemed to have                                        ities and changes in elasticity as development pro-
reached a certain stage of development. The sim-                                        ceeds. But just as care must be taken to equate
plest stage theory is the sector thesis of Fisher                                       (without qualification) development and welfare
((1933) and (1939)) and Clark (1940), who em-                                           with the level of per capita income, so, too, cau-
ploy the distinction between primary, secondary                                         tion must be exercised in identifying different de-
and tertiary production as a basis of a theory of                                       grees of underdevelopment, industrialisation and
development. Countries are assumed to start as                                          maturity with some fairly rigid proportion of re-
primary producers and then, as the basic necessi-                                       sources engaged in different types of activity. Such
ties of life are met, resources shift into manufac-                                     an association would ignore the doctrine of com-
turing or secondary activities. Finally, with rising                                    parative advantage which holds that countries will
income, more leisure and an increasingly saturated                                      specialise in the production of those commodities
market for manufactured goods, resources move                                           in which they have a relative advantage as deter-
into service or tertiary activities producing 'com-                                     mined by natural or acquired resource endow-
                                                               Development and Underdevelopment 55
ments. The fact that one country produces pre-         very different levels of development.
dominantly agricultural products while another             Ideally a criterion of development stages is re-
produces mainly manufactured goods need not            quired which leaves the proportion of resources
imply that they are at different stages of develop-    employed in different activities out of account.
ment on any of the conventional definitions of         One possibility is to argue that a country has
development we gave earlier. Such an association       reached a developed state when productivity in the
would also ignore the different types of service       agricultural sector matches productivity in the in-
activities which may exist at different stages of a    dustrial sector, and that it has reached a state of
country's history. There are three broad categories    maturity when productivity in all sectors, includ-
of service activities, and the determinants of re-     ing services, is approximately equal provided the
source allocation to service activities accompany-     level is reasonably high. The alternative is simply
ing development may operate differently on each        to classify countries as industrial, semi-industrial
in an offsetting manner. Newer service activities      and non-industrial, using as a criterion for division
linked with the growth of leisure and high mass        some level of the net value of manufacturing pro-
consumption tend to have a very high income            duction per head of the total population combined
elasticity of demand; services linked to the growth    perhaps with an indicator of the degree of indus-
of manufacturing also grow but at a declining rate,    trialisation of exports (see Maizels, 1963).
and traditional services of pre-industrial times de-      Having said all this, however, the fact remains
cline (Katouzian (1970)). In short, tertiary produc-   that there is a good deal of empirical support for
tion is an aggregation of many dissimilar service      the Fisher-Clark view that the pattern of develop-
activities some of which are related to low per        ment across countries evidences many common
capita incomes and some to high per capita in-         characteristics, especially the shift of resources
comes. Thus the same proportion of total re-           from agriculture to industry. Figure 1.3 shows the
sources devoted to services may be associated with     proportions of the labour force engaged in agricul-
                   Percentage
                      of labor
                         force
                           80
70
                                                                                             Services
                           60                                                              /1980
                           50                                                               Services
                                                                                        ..--·'"1965
                                                                                    /
                                                                                /
                                                                                             Industry
                           40                                           /
                                                                            /
                                                                                             1965
                                                                                             Industry
                                                                                             1980
                            30
                            20
                                                                                             Ag ricu ltu re
                                                                                             1965
                           10                                                                Agriculture
                                                                                             1980
                             QL-------~--~--------~~~--------~~---
                                        Low income      Middle income               High income
                                          $300             $1000                        $1 0 000
                                                                        Per capita income
56   Introduction
ture, industry and services between low-income,          to make estimates of the income elasticity of de-
middle-income and industrialised countries, and          mand for different commodities (given by b). An
over time. One sees the broad thesis of Fisher and       income elasticity of demand for a good less than
Clark confirmed. In the low-income countries over        unity would imply that its proportional import-
70 per cent of the labour force on average is em-        ance in total output would decline as income
ployed in agriculture, while only 10 per cent is         grows. Conversely, an income elasticity greater
employed in industry. By contrast in the industrial      than unity means that its relative importance in
market economies only 7 per cent on average is           total output will increase. Taking this basic equa-
employed in agriculture and 35 per cent in indus-        tion (with some modifications), and applying it to
try. The proportion of the labour force in services      a cross section of 51 countries, Chenery found that
is also relatively low in low-income countries com-      the growth elasticity of the agricultural sector is
pared to more mature industrial countries,               less than 0.5, while for industry it is over 1.3 and
although there is quite a wide variation between         for services it is approximately unity. Within the
low-income countries. Over time, there is a notice-      industrial sector, there will also be differences in
able reduction in the proportion of the labour           the income elasticity of demand for products
force in agriculture in most countries, but particu-     which will cause the pattern of industry to change
larly in the industrial market economies. There is a     as development proceeds. The most notable de-
slight increase in the importance of industry in the     mand shift is the relative switch from basic neces-
low- and middle-income countries, but not in the         sities .like food, beverages and clothes to capital
industrial market economies where on average the         and consumer durable goods.
shift of resources has been away from both agri-
culture and industry towards services, which em-
ploy on average over one half of the labour force.       • Industrialisation and Growth
Generally speaking the lower the per capita in-
come, the higher the proportion of the labour            The importance attached to industrialisation by
force in agriculture, and the higher the level of per    developing countries lies in the close association
capita income, the higher the proportion in ser-         that appears to exist between industrialisation and
vices.                                                   real income per head, and between the growth of
    What is true of the sectoral distribution of the     industry and the growth of output as a whole. This
labour force is also true of the sectoral distribution   latter observed relationship is summed up in the
of output, although the magnitude of the propor-         maxim 'manufacturing as the engine of growth'. If
tions differ because productivity differs markedly       we relate the average growth of gross domestic
between sectors (see Table 1.10). Because pro-           product (gcDP) to the average growth of manufac-
ductivity tends to be lower in agriculture than in       turing industry (g1) over the period 1970-77 for 81
industry, except in some special cases such as Aus-      countries, the following regression equation is
tralia and Canada, the proportion of total output        obtained:
generated by agriculture tends to be lower than its
share of the labour force, and the proportion                  gGDP   = 1.414   + 0.569      g1   r 2 = 0.610
generated by industry tends to be higher than its                                  (0.051)
share of the labour force. (See also Cody, Hughes
and Wall (1980).)                                           This is a highly significant relationship and is
    Chenery and others (Chenery (1960) and (1979),       confirmed by many other studies. 1 Since the re-
Chenery and Syrquin (1975)) have documented the          gression coefficient is significantly less than unity,
changing sectoral share of output using regression
analysis. Using an estimating equation of the form       1 See the Symposium on Kaldor's growth laws edited by the
log V = log a + b log Y, where V is value-added          present author in journal of Post-Keynesian Economics, Spring
per capita and Y is per capita income, it is possible    1983.
                                                                Development and Underdevelopment 57
  Low-income economies               41 w    31 w     26 w       36 w   19 w     27 w     32 w      35 w
    China and India                  41 w    29 w     29 w       36 w   22 w     30 w     30 w      35 w
    Other low-income                 42 w    30 w     20 w       34 w    Sw        ..     38 w      38 w
  Mozambique                          ..     65        ..        15       ..       ..       ..      21
  Tanzania                           46      59       14         12      8       10        40       29
  Ethiopia                           58      41       14         17      7       11        28       42
  Somalia                            71      65        6          9      3        5        24       26
  Nepal                              65      60       11         14      3        5        23       26
  Chad                               42      38       15         17     12       14       43        45
  Bhutan                              ..     43         ..       27       ..     10         ..      29
  Malawi                             50      33       13         20       ..     14        37       46
  Bangladesh                         53      38       11         15       5       9        36       46
  Burundi                             ..     56         ..       15       ..      10        ..      29
  Zaire                              20      30       32         33       ..     13        48       36
  Uganda                             52      67       13          7       8        4       35       26
  Madagascar                         25      33       14         13       ..      12       61       54
  Sierra Leone                       34      32       28         13       6        6       38       55
  Mali                               65      46        9         13      5         8       25       41
  Nigeria                            55      36       12         38      5         7       33       25
  Niger                              68      36        3         13      2         5       29       51
  Rwanda                             75      38        7         22      2        15       18       40
  Burkina Faso                       37      32       24         24     11        14       39       44
  India                              44      31       22         29     16        19       34       40
  Benin                              59      37        8         15       ..       7       33       48
  China                              38      27       35         42     28        38       27       31
  Kenya                              35      28       18         21     11        11       47       51
  Pakistan                           40      26       20         25      14       17       40       49
  Ghana                              44      48       19         16      10        9       38       37
  Central African Rep.               46      42       16         17       4        ..      38       41
  Togo                               45      33       21         22      10        9       34       46
  Zambia                             14      17       54         55       6       43       32       29
  Guinea                              ..     28         ..       33       ..       4        ..      39
  Sri Lanka                          28      26       21         26      17       15       51       48
  Mauritania                         32      26       36         29       4        ..      32       44
  Lesotho                            65      24        5         30       1       14       30       46
  Indonesia                          51      22       13         40       8       20       36       38
58   Introduction
  Honduras                            40         23      19        24      12       16       41        53
  Egypt, Arab Rep.                    29         17      27        29        ..     16       45        53
  Bolivia                             23         24      31        32      15       13       46        44
  Zimbabwe                            18         13      35        40      20       26       47        47
  Senegal                             25         21      18        18      14       13       56        61
  Philippines                         26         22      27        35      20       25       47        43
  Cote d'Ivoire                       47         47      19        27      11         ..     33        26
  Dominican Rep.                      23         17      22        27      16       13       55        56
  Papua New Guinea                    42         29      18        31        ..     12       41        40
  Guatemala                             ..       26       ..       19        ..       ..       ..      55
  Morocco                             23         16      28        33      16       18       49        51
  Cameroon                            33         27      20        28      10       13       47        46
  Ecuador                             27         13      22        42      18       23       50        45
  Syrian Arab. Rep.                   29         28      22        22        ..       ..     49        50
  Congo                               19         13      19        39        ..      7       62        48
  El Salvador                         29         11      22        21      18       19       49        67
  Paraguay                            37         28      19        23      16       23       45        49
 Peru                                 18          7      30        37      17       27       53        57
 Jordan                                 ..        8       ..       26        ..     12         ..      66
 Colombia                             27         17      27        32      19       21       47        51
 Thailand                             32         12      23        39      14       26       45        48
 Tunisia                              22         16      24        32       9       17       54        52
 Jamaica                              10          5      37        46      17       20       53        49
 Turkey                               34         18      25        33      16       24       41        49
 Romania                                ..       18       ..       48        ..       ..       ..      34
 Poland                                 ..       14       ..       36        ..       ..       ..      50
 Panama                               18         10      19         9      12        7       63        80
 Costa Rica                           24         16      23        26        ..     19       53        58
 Chile                                 9          ..     40          ..    24         ..     52          ..
 Botswana                             34          3      19        57      12        6       47        40
 Algeria                                ..       13       ..       47        ..     12         ..      41
 Bulgaria                              ..        18       ..       52        ..       ..       ..      31
 Mauritius                            16         12     23         33      14       24       61        55
 Malaysia                             28          ..    25           ..     9         ..     47          ..
 Argentina                            17         13     42         41      33         ..     42        45
                                                                   Development and Underdevelopment 59
  Namibia                               ..       11       ..        38       ..       5        ..      50
  Nicaragua                           25          ..     24          ..    18         ..     51          ..
  Yemen, Rep.                           ..       20       ..        28       ..       8        ..      47
Upper-middle-income 16 w 9w 36 w 40 w 19 w 25 w 47 w 51 w
  Mexico                              14          9      27         30     20       23       59        61
  South Africa                        10          5      41         44     24       26       48        51
  Venezuela                            6          6      40         50       ..     20       55        45
  Uruguay                             18         11      35         34       ..     28       47        55
  Brazil                              19         10      33         39     26       26       48        51
  Hungary                               ..       12       ..        32       ..     27         ..      56
  Yugoslavia                          23         12      42         48       ..       ..     35        40
  Czechoslovakia                        ..        8       ..        56       ..       ..       ..      36
  Gabon                               26          9      34         49      7        7       40        42
  Trinidad and Tobago                  8          3      48         48       ..     13       44        49
  Portugal                              ..        ..      ..         ..      ..       ..       ..        ..
  Korea, Rep.                         38          9      25         45     18       31       37        46
  Greece                              24         17      26         27     16       14       49        56
  Saudi Arabia                         8          8      60         45      9         9      31        48
  Iraq                                18          ..     46          ..     8         ..     36          ..
  Libya                                5          ..     63          ..     3         ..      33         ..
  Oman                                61          3      23         80      0         4       16       18
  High-income economies                 5w        ..     43 w        ..    32 w       ..      54 w       ..
    OECD members                        5w        ..     43 w        ..    32 w       ..      54 w       ..
    Other                               ..        ..       ..        ..      ..       ..       ..        ..
  Ireland                               ..        ..      ..         ..      ..       ..       ..        ..
  Israel                                ..        ..       ..        ..      ..       ..       ..        ..
  Spain                                 ..        ..       ..        ..      ..       ..       ..        ..
  Singapore                             3         0      24         37     15       29        74       63
  Hong Kong                             2         0      40         26     24        18       58       73
60   Introduction
  New Zealand                             ..      9        ..        27       ..     19         ..      65
  Belgium                                 ..      2        ..        31       ..     23         ..      67
  United Kingdom                         3         ..     46          ..    34         ..      51         ..
  Italy                                   ..      4         ..       33       ..     23         ..      63
  Australia                               9       4       39         31     26       15        51       64
  Netherlands                             ..      4         ..       31       ..     20         ..      65
  Austria                                 9       3       46         37     33       27        45       60
  France                                  ..      4         ..       29       ..     21         ..      67
  United Arab Emirates                    ..      2         ..       55       ..      9         ..      43
  Canada                                  6        ..     40          ..    26         ..      54         ..
  United States                           3        ..     38          ..    28         ..      59         ..
  Denmark                                 9       5       36         28     23       19        55       67
  Germany                                 4       2       53         39     40       31        43       59
  Norway                                  ..       ..       ..        ..      ..       ..       ..        ..
  Sweden                                  ..      3         ..       35       ..     24         ..      62
  Japan                                  10       3       44         42     34       29        46       56
  Finland                                16       6       37         36     23        23       47       58
  Switzerland                             ..       ..       ..        ..      ..       ..       ..        ..
  Kuwait                                  0        1      70         56       3        9       29       43
  World                                  10 w      ..     41 w        ..    30 w       ..      51 w       ..
w means weighted averages.
Source: World Development Report 1992.
the equation also implies that the greater the ex-        facturing output itself owing to the existence of
cess of manufacturing output growth over the rate         increasing returns, both static and dynamic. Static
of growth of the economy as a whole, the faster           returns relate to the size and scale of production
the overall growth rate will be. Setting gGDP = g 1       units and are a characteristic largely of manufac-
gives the growth rate which divides those coun-           turing where in the process of doubling the linear
tries where industry is growing faster than overall       dimensions of equipment, the surface increases by
output and those countries where industry is              the square and the volume by the cube. Dynamic
growing slower. In the above sample, that growth          economies refer to increasing returns brought
rate is 3.3 per cent (i.e. 1.414/(1 - 0.569)).            about by 'induced' technical progress, learning by
    There are two good reasons for expecting a            doing, external economies in production and so
strong relation between the growth of manufac-            on. Manufacturing seems to be the sector where
turing industry and the growth of the overall econ-       major cost saving, technical advances take place.
omy. The first is that productivity growth in             The relationship between the growth of pro-
industry is closely related to the growth of manu-        ductivity and the growth of industry is sometimes
                                                               Development and Underdevelopment          61
referred to in the literature as Verdoorn's Law.       strong negative correlation would be evidence of
This relationship can provide the basis of models      convergence.
of geographic dualism (see Chapter 5). The second          The results of testing the catch-up hypothesis
induced effect that manufacturing growth has on        are mixed. A study by Baumol (1986) shows a
overall growth is that the faster manufacturing        strong inverse correlation between a country's
grows, the faster the rate of transference of labour   productivity level and its average growth of pro-
from other sectors of the economy where there is       ductivity among industrialised countries and those
either diminishing returns or where no rela-           at an intermediate stage of development, but there
tionship exists between employment growth and          is no evidence of convergence as far as the poorer
output growth because there is already surplus         countries are concerned. Another study of 113
labour. In both cases, a reduction in the amount of    countries by Dowrick (1992) shows that while
labour in these sectors will raise productivity        there is some evidence of catch-up in the sense that
growth outside manufacturing.                          growth rates are negatively related to initial levels
   The question then is: what determines the rate      of productivity, other differences have caused per
of growth of manufacturing? In the early stages of     capita income growth to be faster the higher the
development the impetus to industrialisation must      level of per capita income, producing a divergence
come from the agricultural sector which provides       in living standards across the world (as we saw
the main source of autonomous demand for in-           earlier in the chapter). Countries with higher levels
dustrial goods. In the later stages of development,    of income have had higher investment ratios and a
the demand for industrial goods from outside the       faster growth of the workforce which has con-
country becomes of prime importance for main-          tributed to a faster growth of output.
taining the momentum of industrial growth. We              Clearly a productivity gap itself is not a suf-
will develop and elaborate these points later when     ficient condition for catch up. There have to be the
we consider the role of agriculture in development     cooperating factors to enable poor countries to
in Chapter 3 and the idea of export-led growth in      take advantage of the more advanced technology
Chapters 5 and 15.                                     available, and they have to innovate as well.
traditional, transitional, take-off, maturity and        the factory and the principle of the division of
high mass consumption.                                   labour.
   All we need say about traditional societies is            On the social front a new elite must emerge to
that for Rostow the whole of the pre-Newtonian           fabricate the industrial society and it must super-
world consisted of such societies; for example, the      sede in authority the land-based elite of the
dynasties of China, the civilisations of the Middle      traditional society. Surplus product must be chan-
East, the Mediterranean and medieval Europe, etc.        nelled by the new elite from agriculture to indus-
Traditional societies are characterised by a ceiling     try, and there must be a willingness to take risks
on productivity imposed by the limitations of            and to respond to material incentives. And be-
science. Traditional societies are thus recognisable     cause of the enormity of the task of transition, the
by a very high proportion of the work-force in           establishment of an effective modern government
agriculture (greater than 75 per cent), coupled          is vital. The length of the transition phase depends
with very little mobility or social change, great        on the speed with which local talent, energy and
divisions of wealth and decentralised political          resources are devoted to modernisation and the
power. Today there are very few, if any, societies       overthrow of the old order, and in this respect
that one would class as traditional. Most societies      political leadership will have an important part to
emerged from the traditional stage, as described         play.
by Rostow, some time ago, mainly under the im-              Then there is the stage of take-off. The charac-
pact of external challenge and aggression or national-   teristics of take-off are sometimes difficult to dis-
ism. The exceptions to the pattern of emergence          tinguish from the characteristics of the transition
from the traditional state are those countries           stage, and this has been one bone of contention
which Rostow describes as having been 'born              between Rostow and critics. None the less, let us
free', such as the United States and certain British     describe the take-off stage as Rostow sees it - a
dominions. Here the preconditions of 'take-off'          'stage' to which reference is constantly made in the
were laid in more simple fashion by the construc-        development literature. Since the pre-conditions of
tion of social overhead capital and the introduc-        take-off have been met in the transitional stage,
tion of industry from abroad. But for the rest of        the take-off stage is a short stage of development
the world, change was much more basic and fun-           during which growth becomes self-sustaining. In-
damental, consisting not only of economic trans-         vestment must rise to a level in excess of 10 per
formation but also a political and social transition     cent of national income in order for per capita
from feudalism.                                          income to rise sufficiently to guarantee adequate
   The stage between feudalism and take-off Ros-         future levels of saving and investment. Also im-
tow calls the transitional stage. The main econ-         portant is the establishment of what Rostow calls
omic requirement in the transition phase is that the     'leading growth sectors'. Historically, domestic
level of investment should be raised to at least 10      finance for take-off seems to have come from two
per cent of national income to ensure self-              main sources. The first has been from a diversion
sustaining growth. (On this particular point, as we      of part of the product of agriculture by land re-
shall see, there seems to be very little difference      form and other means. The examples of Tsarist
between the transition stage and the later stage of      Russia and Meiji Japan are quoted, where govern-
take-off.) The main direction of investment must         ment bonds were substituted for the landowner's
be in transport and other social overhead capital        claim to the flow of rent payments. A second
to build up society's infrastructure. The precondi-      source has been from enterprising landlords volun-
tions of a rise in the investment ratio consist of a     tarily ploughing back rents into commerce and
willingness of people to lend risk capital, the avail-   industry.
ability of men willing and able to be entrepreneurs          In practice the development of major export
and to innovate, and the willingness of society at       industries has sometimes led to take-off permitting
large to operate an economic system geared to            substantial capital imports. Grain in the United
                                                                Development and Underdevelopment          63
States, Russia and Canada; timber in Sweden, and,        ditional society had not been made. The dates
to a lesser extent textiles in Great Britain are cited   of take-off for some of the present developed
as examples. Countries such as the United States,        countries are given as follows: Great Britain,
Russia, Sweden and Canada also benefited during          1783-1802; France, 1840-60; the United States,
take-off from substantial inflows of foreign capi-       1843-60; Germany, 1850-73; Sweden, 1868-90;
tal. The sector or sectors which led to the take-off     Japan, 1878-1900; Russia, 1890-1914.
seem to have varied from country to country, but            Then there is the stage of maturity which Ros-
in many countries railway building seems to have         tow defines as the period when society has effec-
been prominent. Certainly improvement of the             tively applied the range of modern technology to
internal means of communication is crucial for an        the bulk of its resources. During the period of
expansion of markets and to facilitate exports,          maturity new leading sectors replace the old, and
apart from any direct impact on such industries as       Rostow sees the development of the steel industry
coal, iron and engineering. But Rostow argues that       as one of the symbols of maturity. In this respect
any industry can play the role of leading sector in      America, Germany, France and Great Britain en-
the take-off stage provided four conditions are          tered the stage of maturity roughly together.
met: first, that the market for the product should          Accompanying changes in the industrial struc-
be expanding fast to provide a firm basis for the        ture will be structural changes in society such as
growth of output; second, that the leading sector        changes in the distribution of the work-force; the
generates secondary expansion; third, that the           growth of an urban population; an increase in the
sector has an adequate and continual supply of           proportion of white-collar workers; and a switch
capital from ploughed-back profits; and last, that       in industrial leadership from the entrepreneur to
new production functions can be continually in-          the manager.
troduced into the sector, meaning scope for in-             Maturity also has important political features.
creased productivity.                                    This is the period when nations grow confident
    Rostow contends that the beginnings of take-off      and exert themselves - witness Germany under
in most countries can be traced to a particular          Bismarck and Russia under Stalin. This is also the
sharp stimulus which has taken many different            period when fundamental political choices have to
forms, such as a technological innovation or more        be made by society on the use to which greater
obviously a political revolution, e.g. Germany in        wealth should be put. Should it be devoted to high
1848, the Meiji restoration in Japan in 1868,            mass consumption, the building of a welfare state,
China in 1949 and Indian independence in 1947.           or to imperialist ends? The balance between these
Rostow is at pains to emphasise, however, that           possibilities has varied over time within countries,
there is no one single pattern or sequence for           as well as varying between countries. Ultimately,
take-off. Thus there is no need for the developing       however, every nation will presumably reach the
countries today to recapitulate the course of events     stage of high mass consumption whatever the
in, say, Great Britain, Russia or America. The           balance of choices at the stage of maturity. Since
crucial requirement is that the preconditions of         the developing countries have no likelihood of
take-off are met, otherwise take-off, whatever           reaching this stage in the foreseeable future, how-
form it takes, will be abortive. Investment must         ever, and only a handful of countries have reached
rise to over 10 per cent of national income; one or      it already, we shall not consider this fifth stage
more leading sectors must emerge; and there must         here.
exist or emerge a political, social and institutional       Instead, let us evaluate Rostow's thesis, and
framework which exploits the impulse to expan-           consider the usefulness of this type of stage theory
sion. The examples are given of extensive railway        apart from it providing a valuable description of
building in Argentina before 1914, and in India,         the development process and pinpointing some of
China and Canada before 1895, failing to initiate        the key growth variables. Most criticisms have
take-off because the full transition from a tra-         hinged on whether a valid and operationally mean-
64   Introduction
ingful distinction can be made between stages of           (1965), p. 227). And on the concept of the take-off
development, especially between the so-called              stage in general Kuznets concludes that lack of
transitional phase and take-off, and between               common experience typifying countries in the
take-off and maturity. Critics have attempted to           take~off stage, in relation to investment, etc., 'casts
argue that the characteristics that Rostow dis-            serious doubt on the validity of the definition of
tinguishes for his different stages are not unique to      the take-off as a general stage of modern economic
those stages. Thus the demarcation between take-           growth, distinct from what Professor Rostow calls
off and transition is blurred because the changes          the precondition, or transition, stage preceding it
that take place in the transition phase also seem to       and the self-sustaining growth stage following it'
take place in the take-off phase, and similarly with       (Kuznets (1965)). Cairncross (1961) echoes these
the demarcation between take-off and maturity.             remarks of Kuznets and appears to deliver a decis-
    One of the most outspoken of Rostow's critics          ive blow when he asks what, if the various stages
is Kuznets, and some of his criticisms may be              overlap, is the meaning of a 'stage'?
quoted as representative of the criticisms that Ros-           Are we to conclude from all this that Rostow's
tow has received in general. First, there is the           contribution is of little value? The answer to this
difficulty of empirically testing the theory, which        must be in the negative; at least, much can be
Rostow himself makes no attempt to do. For one             salvaged. While growth stage theories may be
thing there is a general lack of quantitative evi-         lacking in analytical power, the purpose of stage
dence for assertions made, and for another Ros-            theory is not that the stages distinguished should
tow's description of the characteristics of some of        necessarily have parallels in history, or be rigidly
the stages are not sufficiently specific to define the     distinct, but to distinguish the situations in which
relevant empirical evidence even if data were avail-       an economy may find itself- situations which may
able. With respect to the take-off stage, for              merge into one another. While the concept of a
example, what is a 'political, social and insti-           'stage' may be quibbled with, and stage theory
tutional framework which exploits the impulses to          dismissed as a blue-print for development, Rostow
expansion in the modern sector'? Kuznets argues:           offers many extremely valuable insights into the
'it seems to me that Rostow . . . defines these            development process. As we have seen from the
social phenomena as a complex that produces the            work of Chenery and Maizels, development is not
effect he wishes to explain and then treats this           entirely haphazard, and there are certain features
identification as if it were a meaningful identifica-      of the development process which do follow a
tion' (Kuznets (1963), reprinted in Kuznets                well-ordered sequence. Moreover, there are cer-
(1965), p. 219). Kuznets seems to be calling into          tain development priorities which countries plan-
question the whole of Rostow's scientific method           ning development may neglect at their peril. The
and is claiming as unscientific the practice of ob-        importance of agriculture and the role of invest-
serving phenomena, developing hypotheses on the            ment in raising the rate of growth are particularly
basis of the phenomena, and then using the                 stressed, as are certain political and sociological
phenomena to support the hypotheses!                       preconditions for development which economists
   As regards quantitative evidence that is avail-         are prone to forget, and which are ignored here.
able for testing hypotheses, Kuznets questions             While emphasis on investment appears to be an
Rostow's figures of investment and the incremen-           unfashionable doctrine in the developed countries
tal capital-output ratio during the take-off period        at present, there exists no satisfactory counter-
in the countries studied. He says: 'Unless I have          argument to the doctrine in developing countries if
completely misunderstood Professor Rostow's defi-          capital is properly defined. If Rostow fails to pro-
nition of take-off, and its statistical characteristics,   vide an analytical breakthrough, he has aroused
I can only conclude that the available evidence            once again theoretical interest in the history and
lends no support to his suggestions' (Kuznets              causes of the growth of the wealth of nations.
                                                         Development and Underdevelopment 65