Untitled
Untitled
FACULTY OF COMMERCE
Project Dissertation
By
ENOCK KAPOTE
Of
AUGUST (2021)
i
     INVESTIGATING HOW LACK OF CREDIT FINANCE AFFECTS SMALL AND
MEDIUM BUSINESS ENTERPRISES`S PERFORMANCE IN WAKAWAKA MARKET
                IN THE CENTRE OF LILONGWE URBAN DISTRICT
Project Dissertation
By
                                      Enock Kapote
                                     BAC/GEN/0104
Research Supervisor
AUGUST (2021)
ii
DECLARATION
Declaration by Supervisor
This is to certify that the project work entitled “INVESTIGATING HOW LACK OF CREDIT
FINANCE AFFECTS SMALL AND MEDIUM ENTERPRISES` PERFORMANCE” is a
bona fide work of Mr. Enock Kapote, Registration No. NU/BCOM/0104/2017 submitted in
partial fulfilment for the award of Degree of Bachelor of Commerce in Accountancy of Nkhoma
University under my supervision and guidance. This Project Dissertation is an original one and
has never been submitted earlier elsewhere for the award of any degree.
Date..................................................................................................................................................
iii
Declaration by Candidate
I Enock Kapote hereby declare that this project report “INVESTIGATING HOW LACK OF
CREDIT      FINANCE        AFFECTS     SMALL       AND     MEDIUM        ENTERPRISES`
PERFORMANCE” submitted to Nkhoma University in partial fulfilment of the requirements
for the award of the Degree of Bachelor of commerce in Accountancy is an original academic
writing of my work guided under the supervision of Mr. Joy Khangamwa.
Student Registration No:
Date                   :
Signature              :
iv
ACKNOWLEDGEMENTS
I desire to express my gratitude to various individuals who took part in supporting throughout
my research period. To begin with, Mr. J. Khangamwa deserves to be mentioned for being a
dedicated and supportive supervisor despite his tight schedules. Direction from the supervisor
played a vital role to ensure completion of this work is successful. Secondly, I also wish to
express my heartfelt thanks to my fellow students who actively supported me regardless their
busyness especially the likes of Richard White and Maxwell Zikabuma and of course the entire
fourth year class.
Thirdly, I wish to also express my thanks to business owners at Wakawaka market for
contributing much to the study through responding to the questionnaires I gave despite their
engagements.
Finally, I ought to acknowledge my parents (Mr. And Mrs Kapote), Mr. Raymond Misomali and
Dr. Alan who is now in USA for the financial support, tolerance and encouragement rendered to
me throughout my studies. I cannot forget Mr C. Chisunkha (the dedicated accounting lecture)
my brothers and sisters for their untiring support: Andrew, Alice. Joseph and Dolice. To God be
glory for being in my life at all times.
v
DEDICATION
It is my wish to dedicate this work wholly to God for His unending mercy and love to me
knowing to reach this far, it has been God by protecting me from any harm that would lead me
not to get involved in this writing. It is also the same God who stirred the hearts of my parents
and relatives to continually support me financially and encouragement they rendered to me
throughout my study despite their daily needs.
vi
ABSTRACT
Introduction: Small and medium business enterprises are the driving engine to the success of a
national economy. In Malawi, the importance of the small and medium enterprises cannot be
underestimated. The small scale businesses contribute to social-economic development of
nations in many forms including boosting public revenue collections through various forms of
taxation, provision of goods and services to the general public and more importantly, poverty
alleviation through creation of employment and improving the living standards of the people.
Additionally, small and medium enterprises are the major sources of entrepreneurial skills and
innovations. However, in many developing nations like Malawi, small scale businesses are not
substantially financed which in turn affect their performance. For example, the small scale
enterprises in Malawi are largely owned by women who face financial constraints through credit
accessibility from financial institutions and other lending institutions which has a significant
impact in turn.
Methods: The research employed the use of qualitative and quantitative methods in carrying out
the study. Microsoft Excel and SPSS statistics were used in compiling the quantitative data. 60
questionnaires were distributed in total to SMEs owners under consideration. Stratified sampling
method was used where respondents were grouped according to their business category.
Results: The research findings revealed that majority of SMEs owners intensively rely on
savings as a means of financing their businesses thereby indicating that optimal financing is still
a problem especially when it comes to accessing credit or loan from financial institutions. This is
resulted from lack of collateral security that SMEs owners could use to secure loans.
Conclusion: Small and medium business enterprises are very essential for they stimulate the
improvement of the living standard of individuals and bring about a health economy of a nation.
It is therefore, important for financial institutions and other lending institutions to formulate
lending terms and conditions that will ease credit accessibility to the disadvantaged businesses.
vii
This includes the reduction of other lending conditions such as collateral so as to ensure many
business owners are interested in applying the loan.
Table of Contents
DECLARATION............................................................................................................................iii
ACKNOWLEDGEMENTS.............................................................................................................v
DEDICATION................................................................................................................................vi
ABSTRACT..................................................................................................................................vii
CHAPTER ONE..............................................................................................................................1
1.0 Introduction............................................................................................................................1
CHAPTER TWO.............................................................................................................................7
LITERATURE REVIEW................................................................................................................7
2.0 Introduction............................................................................................................................7
viii
     2.3 Local perspective.................................................................................................................10
2.6.3 Collateral.......................................................................................................................13
CHAPTER THREE.......................................................................................................................16
METHODOLOGY........................................................................................................................16
3.0 Introduction..........................................................................................................................16
3.2.2 Population......................................................................................................................17
ix
CHAPTER FOUR.........................................................................................................................20
4.1 Introduction..........................................................................................................................20
4.6 Collateral..............................................................................................................................28
Growth of SMEs........................................................................................................................31
CHAPTER FIVE...........................................................................................................................34
5.1.1 Collateral.......................................................................................................................34
x
        5.1.3 Legal status of the business...........................................................................................35
5.3 Linking the theory with the results drawn from the findings...............................................37
5.4 The extent to which lack of credit affects the business performance..................................38
CHAPTER SIX..............................................................................................................................39
6.1 Introduction..........................................................................................................................39
References......................................................................................................................................42
Appendices....................................................................................................................................45
xi
xii
List of Tables
Table1. 1..........................................................................................................................................2
Table1. 2........................................................................................................................................14
Table1. 3........................................................................................................................................17
Table1. 4........................................................................................................................................21
Table1. 5........................................................................................................................................22
Table1. 6........................................................................................................................................23
Table1. 7........................................................................................................................................24
Table1. 8........................................................................................................................................25
Table1. 9........................................................................................................................................26
Table1. 10......................................................................................................................................27
Table1. 11......................................................................................................................................27
Table1. 12......................................................................................................................................28
Table1. 13......................................................................................................................................29
xiii
List of Figures
Figure 1..........................................................................................................................................22
Figure 2..........................................................................................................................................24
Figure 3..........................................................................................................................................29
Figure 4..........................................................................................................................................30
Figure 5..........................................................................................................................................33
Figure 6..........................................................................................................................................34
xiv
CHAPTER ONE
1.0 Introduction
Small and medium enterprises (SMEs) are often defined by number of employees, total capital,
total sales turnover, or total asset. According to World Bank (2013), small and medium
enterprises (SMEs) are defined as the enterprise that has relatively small share (in terms of,
number of employees, sales turnover ownership and assets) of their market place. Businesses that
are managed by owners or part owners in a personalized way and not through the medium of
formalized management structure and are independent in the sense of forming a large business. It
is the dream of every small scale business owners to sustain growth objective of his or her
business through the injection of capital that helps to buy new technologies in order to ensure the
business continue to survive and grow (Mwongera, 2014). These small scale businesses play a
vital role in economy of a country, both developed and developing nations as well as to the
individuals for they provide employment and of course improve the living standards of
individuals to both employers and employees.
Survival and growth of these SMEs are among struggles that they face mostly. A working paper
by Wairimu (2015) stated that less than 5% SMEs go beyond their first year of existence. This
shows that many businesses do not manage to attain their goals and objectives for they lack
financing that can help them develop the business hence deterring them to grow. Among other
challenges that hinder SMEs from achieving growth objective in Malawi is limited access that
can help the business access new means of doing the business with the alarming changes in
technology. Additionally, regulatory burdens that SMEs in Malawi face especially when
registering their businesses act as a challenging factor to not having a chance of accessing credit
mainly because lenders are only open to working hand in hand with businesses that are legally
recognized (Muriithi 2014). Lending terms and conditions that banks and other lending
institutions follow when lending to these SMEs do not favour business owners to have access to
credit that consequently affect the business functionality and productivity.
The study is to be based on the theory of imperfect information that was founded by George
Akerlof in 1970. This theory states that imperfect information occurs when one part to a
transaction has more and timely information than another party. It this theory that reveals the
1
causative agent to why in the business environment there is an adverse selection of financial
markets. This imbalance can cause one party to enter into a transaction or make costly decisions.
2
Source: MSME Policy Strategy for Malawi, Ministry of Industry and Trade
Access to credit gives small and medium business enterprises the chance to develop their
businesses and to acquire better technologies for production, therefore ensuring their
competitiveness. Kung’u (2011) adds that improving access to credit by SMEs is crucial in
fostering competition, growth, innovation and entrepreneurship. In accordance with Ndala
(2019), as the business grow; there is a need for capital injection to satisfy strategic growth
objectives. It is at this stage that the owner seeks other ways of obtaining capital for the business
operations. As a result of this growth, there could be a probable necessity for any business to
borrow at some stage of their lifespan and banks comes in handy as financing institutions
enabling these SMEs expand their business. According to Reserve Bank of Malawi, Financial
Supervision Annual Report (2015) banks are the most important source of external finance for
the SME sector especially business loans and overdrafts. In correlation with the reports, the IoB
President, Kwanele Ngwenya, who is also NBS Bank Chief Executive officer, concurred with
Kabambe in agreement with the above report by saying that banking industry is the nerve centre
of economic growth and does so by providing loans. This supports the Ndala’s point on the need
for banks to come in the need for SMEs to help them expand their businesses. Among other
problems, there is a struggle in accessing credit by small and medium business enterprises that
discourage businesses from applying new technologies which consequently lead them to finding
difficulties to perform effectively. Anvieni (2014) found out that despite the long-existence of
commercial banks in local, international and multinational, most of them have shied away from
lending to small and medium businesses resulting into being unable to grow while others have
collapsed few years after their establishment. Zidana (2015) commented that financing SMEs has
been identified as one single factor that challenges the survival and growth of SMEs, not only in
Malawi but also the rest of other parts of both developed and developing world, albeit with
varying magnitudes. As such many of these small and medium business enterprises find it
difficult to grow and of course others fail at the same time (Zidana, 2015).
3
problem, mainly due to the lending terms and conditions of banks and other lending institutions
that affects their performance (Peterfolt et al. 2014). Banks and other lending institutions prefer
to lend to the government rather than private sector borrowers because the risk involved is lesser
and higher returns are offered (Abdesamed, 2014). This acts as a drawback to SMEs for their
survival and growth hence affecting the economic performance of the country in one way or the
other.
4
survive while others flop after their establishment. The study was conducted at Wakawaka
market, Lilongwe and it involved people owning small and medium business enterprises. Such
examples of these small and medium business enterprises are as those selling farm produces,
hardware and grocery shops, clothes and many other businesses which are in this category. The
study did not involve those who own the large businesses because the concern of the researcher
was on those who own small and medium enterprises.
5
Small and Medium Enterprises (SMEs): World Bank (2013) defined small and medium
enterprises (SMEs) as enterprise that has relatively small share (in terms of number of
employees, sales turnover, ownership and assets) of their market place. The study identifies those
owning small and medium enterprises as those with low income generation; they own a small
market share and a small number of employees.
Credit: According to Mwongera (2014), credit is the purchasing power created by banks and
other lending institutions through lending based on fractional reserve system. In this study, this is
the purchasing power created by banks or other lending institutions through advancing of money
to small and medium business enterprises so as to advance their businesses.
Growth: According to Nikolic (2015), growth is defined as the process of improving some
measure of a business’s success. In this study, growth is the overall increase in the number of
employees, assets and sales per given period.
Income: According to Wlodarczyk et al. (2018), income is the revenue a business earns from
selling its goods and services or the money an individual receives in compensation for his or her
labour, services or investments. In this study, the definition has been used likewise.
6
CHAPTER TWO
LITERATURE REVIEW
2.0 Introduction
This section critically identifies and analyses information related to the study topic. It also looks
at various theories relating to credit accessibility by small and medium business enterprises of
which in this case the imperfect information theory is to be used. It further summarises the
literature review.
7
difficult for banks to profitability operate in developing countries credit markets and to attain
extensive outreach. Based on this theory it would therefore be hard for policy makers,
economists, bankers, donors, financial analysts and government decision makers to advocate for
commercial banks to enter into micro credit markets.
This theory is matching with the stated topic in the way that it is depicting the clear picture why
and how information asymmetry at Wakawaka leads to small and medium business enterprises
finding difficulties in accessing credit from banks and other financing institutions. The theory is
of great use in the sense that it will help to figure out the causative agent to why SMEs struggle
in accessing loans and of course getting to understand why lenders are reluctant to lending these
SMEs. The knowledge to be gained using the theory will further help the stakeholders who in
this case are the business owners and financers devise new ways that are to be favourable to both
the lenders and borrowers. This will therefore, improve credit accessibility to the underprivileged
businesses, hence achieving self-independence through the alleviation of poverty while at the
same time improving the national economy.
8
services provided do not favour the needs of the customers; many of these SMEs are reluctant to
go for credit even if the funds are available.
As in accordance with Bihoctavia (2013), Grameen Bank argues from its point of experience that
majority of conditions such as collateral requirements needed by formal financial institutions do
not favour the poor and small scale borrowers trying to access loan. To ensure those with small
scale businesses are encouraged, banks and other lending institutions need to set effective credit
obtaining procedures and that proper supervision ad repayment schemes are put in place
(Hussain, 2012). Mostly, banks agree with the idea of setting high interest rates on credit so as to
limit credit access only to the targeted groups and discourage the influential non-target group
from going for a loan programme that targets a specific group (Hussein, 2015). It is therefore,
prior for the financial institutions to put flexible lending terms that can influence the interest of
small scale businesses to have access to credit.
9
the last ten years thereby attracting numerous businesses from different parts of world, it is still
ranked by World Bank as the most difficult region to do businesses for SMEs (World Bank,
2012). This is mainly due to many obstacles that hinder them from having access to finance that
can be used to improve their functionality and productivity through the application of new
technologies.
Muriithi (2014) shows that chief among the external constraints to SME growth and survival
widely cited in literature is limited access to business financing. In response to such challenges,
many governments have tirelessly worked on establishing other means of financing small scale
businesses away from commercial banks, whose loan terms and conditions are usually
unattractive (Hussain, 2012). Azende (2011) commented that Nigeria remains one of such
countries that have pursued other schemes to widen SME access to finances. In Africa, it is
agreed among researchers that inability to access finances remains a major hindrance to SMEs
growth and survival (Ariyo, 2008: Cook, 2001; Horn, 2003; Mambula, 2002).A survey by The
Enterprise Survey of the World Bank in a period of ten years and covering over 100 countries
found that access to credit as the most needful constraint hindering operations and growth of
SMEs compared to other parts of the world where the problem was moderate (Beck & Cull,
2014). The study found that Africa’s financial systems are not only small, shallow and costly, but
also they have very limited outreach thereby only reaching a small percentage of the total
population. This normally forces many SMEs to do their own self-financing or depend on
colleagues and friends to provide capital for their businesses which consequently affect business’
functionality and productivity.
10
therefore accelerating the level of poverty in the country hence affecting the performance of the
economy negatively.
For the government of Malawi to achieve positive economy, requires strategising ways that are
favourable to underprivileged small scale businesses to ensure they buy new technologies in
pertaining to improve their functionality and productivity. Zidana (2015) commented that for
Malawi to develop and attain stabilized economy, needs to devise new means of financing small
and medium business enterprises. Zidana further stated that, many of these SMEs lag behind as a
result of government’s reluctance to intervene in their credit needs that consequently lead them
to finding difficulties to achieve growth objective. It has by Richard (2014) been noted that a
good percentage of small scale businesses here in Malawi, find it hard to survive and grow
mainly due to limited access to finance that can enhance their business development. It is
therefore, needful for the government to come in as a hand to uplift these SMEs to a large
business.
11
the economy is concerned. In their research report, Danes, Bonner, Hart and Mason (2009),
using turnover as a basis for measuring business growth, assess the impact of high-growth firms
on the UK economy on the employment side.
12
2.6.2 Level of income generation by these SMEs
According to Wlodarczyk et al. (2018), defined income as the revenue a business earns from
selling its goods and services or the money an individual receives in compensation for his or her
labour services or investments. Considering that majority of these small scale businesses
generate low level of income, many financial institutions shine away from lending them for they
feel insecure and fear of making loses afterwards. Chipeta and Kanyumbu (2018) commented
that financing SMEs has for centuries been considered as a risk idea, mainly because, many of
these small scale enterprises have low generation capacity of income. Additionally, many of
these SMEs lag behind from being granted the chances to access credit because many of them do
not keep financial records which can act as a reference to evaluating the financial performance of
the business. According to Essien and Arene (2010), state that for banks to be assured of the
repay status, they assess the business performance which the owner requires financing by
checking his or her financial records. Banks and other lending institutions do this to ensure they
are safe from experiencing a loss when they grant loans to these SMEs.
2.6.3 Collateral
Collateral is one of the key determinants of credit accessibility where lenders bank on to ensure
they are safe from experiencing a loss especially if the borrower fails to repay. According to
Hussein (2015), collateral refers to an asset that a borrower uses to secure a loan from the lender.
Here, a lender gets a fall back in case of default where they can dispose the asset to recover their
money. Kung’u (2011) noted that secured loans are seen to have a low risk of default hence they
are charged a lower interest. Mac AnBhaird & Lucey (2010) commented that collateral serves as
a means to reduce asymmetric information and moral hazard in asset-based lending. An
argument made by Bester (2004) stated that collateral signals firm’s level of risk because only
low risk borrowers are willing to pledge high amount of collateral. Most of small and medium
enterprises do not have tangible assets that they can use to secure their loans which consequently
limit their borrowing. As Shinozaki (2012) puts it, he says the lack of collateral is among the
major barrier to access bank finance which resultantly affects business performance. It is for this
reason that lags most of these SMEs behind from having access to credit which normally affect
their functionality and productivity.
13
2.6.4 Legal status of the business
One of the fundamental factors that financial institutions consider most when they want to grant
loans is the legal status of the business. According to Ghanavati et al. (2009), legal entity refers
to any individual, company, business or organization that can legally enter into a binding
contract with another legal entity. This implies that businesses which desire to work hand in hand
with the lenders need to get registered. Since, majority of small scale businesses world-wide are
not legally recognized, they are denied the chance to access credit thereby putting them to
disadvantage from employing new technologies that can aid their businesses get boosted
(Hussain, 2012). Most researches have shown that lenders work better with businesses that are
legally recognized for they are easily followed than informal businesses (Ndala, 2019). It is
therefore needful for business owners to ensure their businesses get registered to create
conducive environment for loans as they anticipate.
14
2.8 Summary of the review
Finance was a major component in the survival, growth and development of a business entity. At
micro economic level, slow rate of growth by firms was mostly articulated to limited access to
financial services. Most of the reviewed literature in this study was based on countries from west
while few were from countries like Malawi, Uganda, South Africa, Nigeria and Kenya which
had few scholarly articles about the SMEs and the ways in which they access business financial
support. The chances for profitable expansion in employment in small scale enterprises are
limited when the micro-economic conditions are less favourable. This mainly implied to those
small scale businesses with linkages with bigger enterprises and the economy. As in accordance
with the above review, a proper scrutiny of SMEs dynamics was found needful both for SMEs’
support programs and economic growth. Given the role that small scale businesses play in the
Malawian economy and how exposed they face financial constraints due to their nature. An
empirical study was carried out to investigate how lack of credit finance affects small and
medium business enterprises’ performance. It was for this reason that prompted the researcher to
choose the above stated topic of study.
15
CHAPTER THREE
METHODOLOGY
3.0 Introduction
This chapter describes the methods and procedures to be used when carrying out the study. It
will present the study design, target population, data collection instruments and procedures and
data analysis techniques.
16
it is known by the name of Wakawaka because of the hotel, therefore, people are used to call it
Wakawaka market.
3.2.2 Population
The target population of the study were based the business owners falling under SMEs. The
researcher allocated 60 questionnaires from the total population. According to the record that the
research findings determined by Lilongwe City specifically at Wakawaka market, there were 6
registered and 40 non-registered small and medium enterprises for as at July, 2021. One of the
challenges at Wakawaka market is limited access to funds in the form of a loan which has a
negative impact to their business performance. The population of the study was based on the
business categories as shown in Table 3.1.
Table 3.1
Business category                                        Population
Clothes and shoe sellers                                    7
Hardware shops                                              5
Grocery shops                                              11
Restaurant operators                                        6
Farm produce sellers                                       13
Pharmacy shops                                              4
Total                                                      46
17
researcher made a review on the recommended literature in terms of books, journals,
Government of Malawi publications, reports, conference proceedings and other miscellaneous
sources which were relevant to the topic of study
18
3.4 Ethical considerations
To ensure privacy of respondents was maintained, names were not used when handling
questionnaires. Respondents were assured that the data collected was for academic purpose only
and that the results of the respondents would be safeguarded by the researcher and of course no
publicising of the information collected were to be made.
19
CHAPTER FOUR
 Total                                         60                                        100
 Source: author (2021)
20
                                     Frequency Percent Valid        Cumulative
                                                         Percent    Percent
                             Male    20          43.5    43.5       43.5
 Valid                       Female 26           56.5    56.5       100.0
                             Total   46          100.0   100.0
 Source: Research findings
 In reference to the above Table 4.2, indicates that about 56.5 percent of gender respondents were
 female which is representing a higher value than that of male is for they take 43.5 percent. This
 is an indication that there was a fair distribution of genders respondents who participated in this
 study and that female commands a large number of SMEs ownership at Wakawaka market,
 Lilongwe. The genders respondents can also be presented in a bar graph as below.
 Figure 4.1
                                          gender of respondets
                             30
                                                                    26
                             25
     number of respondents
                                           20
                             20
15
10
                             0
                                          male                     female
The research sought to establish the respondents age in years that were sub-divided into
reasonable categories ranging from less than 20 years, 21-25 years, 26-30 years, 31-35 years, 36-
40 years and above 40 years. From the table 4.3, it can be deduced that majority of the
respondents (37%) were in the age bracket of between 31 and 35 years. About 22% were in the
age group of between 26 and 30 years. Those who were in the age bracket ranging from 21-25
years had 17.4%. An estimate of 13 percent of the respondents was in the age bracket of between
36-40 years. Those ranging above 40 years had 7% while those falling under less than 20 years
had 4.3%. This shows that there was indeed a fair distribution of the respondents expected in the
21
study where the youth commands a large number of SMEs owners at Wakawaka market,
Lilongwe. Below is the table 4.4 showing age distribution.
Table 4.3 Age of respondents in percentage
Age in years                        Frequency                              Percent
Less than 20                            2                                    4.3
21-25 years                             8                                   17.4
26-30 years                             10                                  22.0
31-35 years                             17                                  37.0
36-40 years                              6                                  13.0
Above 40 years                           3                                    7.0
Total                                   46                                   100
Source: Research findings
22
                      Frequency Percent Valid            Cumulative
                                           Percent       Percent
        Masters       1          2.2       2.2           2.2
        Degree        2          4.3       4.3           6.5
        Diploma       12         26.1      26.1          32.6
Valid
        Certificate   18         39.1      39.1          71.7
        Not educated 13          28.3      28.3          100.0
        Total         46         100.0     100.0
Source: Research findings
23
                        Years of business operation (%)
 60
50
40
 30
              52.2
 20                                   37
 10
                                                           10.9                Years of
                                                                               business
     0                                                                         operation
             1-5years             6-10years             11-15years             (%)
24
         Savings                      19    41.3       41.3          41.3
         Bank loans or loans from
                                      6     13.0       13.0          54.3
         other lending institutions
Valid Borrowing from friends
                                      9     19.6       19.6          73.9
         or relatives
         Others                       12    26.1       26.1          100.0
         Total                        46    100.0      100.0
Source: Research findings
25
 Source: Research findings
26
4.5.4 Rating credit services offered by financial institutions
Furthermore, respondents were required to rate the credit service offered in their vicinity and the
responses are shown in the Table 4.10. From the results shown, it can deduced that majority of
the respondents (41.3%) who took part in this survey had not been able to access credit from
financial institutions and confirmed that the services offered were poor. About 26.1 percent of
the respondents rated the credit services offered as average. Approximately 19.6% of them
confessed that they were neutral. 10.9 percent of the respondents reported to have had an
effective rate of credit services offered in the area while 2.2 percent confirmed to have had a very
effective. This indicates that at Wakawaka market, Lilongwe, business owners find it hard to
have easy access to credit mainly due to the imposed lending terms and conditions which act as a
drawback to influencing the interest of the business owners apply for the loan.
Table 4.10 Rating credit accessibility
Rating the credit service offered by the banks and other lending
institutions in your area
                      Frequenc Percent Valid                 Cumulative
                      y                     Percent          Percent
       Poor           19         41.3       41.3             41.3
       Average        12         26.1       26.1             67.4
       Neutral        9          19.6       19.6             87.0
Valid Effective       5          10.9       10.9             97.8
       Very
                      1          2.2        2.2              100.0
       effective
       Total          46         100.0      100.0
Source: Research findings
The generated results can also be presented in a form of a pie chart as that of below which is
clearly portraying the same results achieved by the study.
Figure 4.3 Rating credit accessibility
27
4.6 Collateral
Based on the Table 4.11, it can clearly show that 43.5% of the respondents represented land as a
credit security that banks and other lenders use when granting credit to business owners. About
34.8 percent of the respondents, who participated in this study, were that of house as collateral
used most when the financial institutions wish to guarantee loan to businesses while 21.7 percent
were those respondents representing others. This indicates that land as credit security
commanded a large number that financial institutions base on most when granting loans to
businesses. It is for this reason that many business owners who are willing to apply for a loan are
discouraged from applying due to lack of collateral in form of land as a credit security.
Table 4.11 Credit security
Credit security mostly demanded by financial institutions
                 Frequency Percent Valid              Cumulative
                                       Percent        Percent
        House 16             34.8      34.8           34.8
        Land     20          43.5      43.5           78.3
Valid
        Others 10            21.7      21.7           100.0
        Total    46          100.0     100.0
Source: Research findings
28
The above results shown in Table 4.12 can also be presented in a bar graph as that of below
which is giving the same sense as the table.
Figure 4.4 Credit security
29
the requirements that they provide pushed them to seek other means of financing their businesses
which include borrowing from friends and relatives. For those respondents who reported to have
a strong agree and not certain on the statement had the same share of percentage (19.6%). About
13 percent of the respondents were reported to have disagreed while 8.7% were those who
strongly disagreed on the statement.
Moreover, the research sought the respondent’s opinion on the statement of whether at times
they apply for loans a group because they can easily co-guarantee each other. In reference to the
results, 34.8% disagreed to it, 23.9% of the respondents strongly disagreed on the statement, but
those respondents with about (21.7%) agreed to it. About 19.6% of respondents were not certain
to the statement while on strongly agree none reported to it. In addition, 30.4% of the
respondents agreed on the statement that financial institutions insist on using collateral a primary
lending condition, 24% of them disagreed to it. About 17.4 percent of respondents strongly
disagreed on the statement, 15.2% were those who strongly agreed to the point while those
respondents (13%) who were not certain.
The last statement was on the aspect of the reluctance of the lending institutions to avail credit to
businesses for operating informally while it is difficult for them to provide the acceptable results.
Based on the results, (34.8%) of the respondents disagreed to the statement, 23.9% agreed on the
statement. About19.6 of the respondents’ percent strongly disagreed and the other were not
certain while 2.2% of them strongly agreed on the statement.
30
disagreed on the statement. Those who were not certain and those who strongly agreed shared
the similar value of percentage (10.9%).
About 45.7% of the respondents strongly disagreed on the statement that the lending institutions
were more interested in lending those who were literate than those with no learning background.
28.3% of them were those who strongly disagreed on the statement, 17.4 percent of the
respondents were not certain to the statement while 8.7% of them were in agreement to the
statement.
Furthermore, the respondents were asked to indicate whether the level of education had a
positive impact on when or how to get loan in order to improve their businesses. From the
findings, about 34.8% of the respondents agreed on the statement, 28.3 percent of them disagreed
to it. Those respondents who strongly agreed to the statement were about 15.2%, 13% were those
of respondents who strongly disagreed to the statement while 8.7 percent represent those who
were not certain to the statement.
Lastly, about 39.1% strongly disagreed on the statement that they were discouraged from
borrowing because the available credit information and charges were not communicated in the
language they could manage to understand. 24% of the respondents disagreed to the statement,
21.7% agreed to the statement while 15.2 percent of them represent those who were not certain.
Growth of SMEs
On the question of average start-up capital, the respondents were required to indicate what they
invested in their businesses and the results are as indicated in figure 4.3.
31
       Source: Research findings
32
Source: research findings
33
CHAPTER FIVE
5.1.1 Collateral
The findings demonstrate that majority of financial institutions and other lending institutions use
collateral mostly in form of a land or house when granting credit or loan to small and medium
businesses. The small business holders emphasized that banks prefer to lend to those with
collateral to secure their loan than those without for they do that to ensure they reduce a risk of
loss which can be experienced when borrowers fail to repay the loan. This lending condition that
lenders base as a guarantee to granting credit puts many businesses to disadvantage especially
those with no collateral to secure the loan. It is for reason that most of the businesses at
Wakawaka market are still budding.
Availability of credit or loan according to the findings, help to improve business performance for
it enables the business acquire new means of doing business and that it enables business owners
meet their demand. Due to advancement in technology where people are nowadays transacting
their businesses technologically, the business owners made a big worry that the lending terms
and conditions that financers base when providing loans has a negative impact to their businesses
for they experience a stagnant growth while others flop few years after their establishment. To
ensure the business continue to operate and that it experiences a change through growth, the
owners sought to access credit from banks and other lending institutions but they could not meet
business needs mainly because they lacked collateral to secure the loan.
34
Furthermore, the business owners confessed to have based much on savings as a means of
financing their businesses due to lack collateral to access credit. This negatively affects their
business performance for they do not manage to meet the business needs in pertaining to effect
positive results. Therefore, the owners of the businesses firmly stated that though they base on
savings as a means of financing their enterprises, but they fail to achieve their desired growth
objective due to lack of ready financial markets that can support their need. It is therefore
needful for lenders to put flexible terms and conditions that can call the attention of these small
scale holders have the ability to access credit so that they advance their business operations.
35
respondents indicated that their businesses were not legal. To facilitate a reasonable result in
relation to legal status of the business, the researcher asked the respondents to provide the reason
on why they illegally operate. The results drawn from the findings, show that many of these
businesses operate informally because they do want to get traced by the government which can
force them to pay taxes and that it is their desire to cut costs which can be incurred yearly when
renewing the business name.
The respondents were also required to indicate if legality of the business has some benefits
where majority of them confessed that it was beneficial. Some of the benefits that respondents
provided include, it enables businesses to operate their businesses safely, and it builds trust to
financers who mostly wish to work hand in hand with businesses which are legal. The business
owners said that many of the financial institutions are not willing to work with unregistered
enterprises because it is difficult for them to trace their businesses financially and how they
perform unlike those which are under registration. Though legality of an entity acts as an added
value to induce the willingness of these banks and other lending institutions to lend these SMEs
funds, the respondents made a strong emphasis that many financial markets in the area base on
the credit security as a primary condition which put the businesses to underprivileged for they
lack an asset to secure the loans.
36
5.2 Growth of SMEs
The findings from the study, show that majority of the businesses had a start-up capital ranging
from K51, 000 to 100,000 which according to the owners of the businesses is not enough to meet
their business undertakings. Many complained that, for their businesses to meet demand has been
problematic due to unstable prices charged when ordering the goods or services. It is for this
reason that they sought to have easy access to credit to ensure they meet their demands; however,
they were declined from getting the loan because they could not be able to provide credit
security. It has also been noted from the findings that lack of capital injection from banks which
can be in a form of a loan has had a significant impact to the business development, growth and
survival.
Furthermore, the research findings reveal that a good number of businesses were capable of
making a total annual sales ranging from K25, 000 to 50,000. The business owners stated that
this range of total annual sales cannot help to improve the business operations for it is the same
business that provides for rentals and food. Therefore, the holders of these small scale enterprises
confirmed that it is for reason that they experience a stagnant growth in their businesses while
others flop at the same time.
5.3 Linking the theory with the results drawn from the findings
The study based on the theory of imperfect information which occurs when one party to a
transaction has more and timely information than another party, and the researcher drew the
conclusion in relation to the theory. From what the researcher found, it can be confirmed that it
was indeed difficult for the financial institutions to lend the SMEs because the information they
had was only that of the benefits they get when they grant a loan to a business not having
knowledge on how worth the credit is to the business owners. Due to this fact, many businesses
have been forced to make costly decisions such as borrowing from friends who were charging
them a higher rate of interest than required. This has had a negative impact to small enterprises
for they could not be able to meet their business undertakings which consequently led the
businesses experience a stagnant growth while at the same time others flop.
37
5.4 The extent to which lack of credit affects the business performance
        Businesses fail to meet customer demand due to inability to inject additional capital in a
         form of a loan. The respondents expressed their worry that due to lack of credit
         accessibility they have not been able to order goods or services that would meet their
         demand.
        Inability of the businesses to buy new technologies which can only be acquired when the
         business is financially stable made through an easy access to credit enabling them have
         computers and phones to advance business operations. Due to Covid-19 pandemic,
         businesses are forced to do their transactions via internet as a way of reducing the spread
         of the pandemic. This includes the use of Airtel money
38
CHAPTER SIX
39
6.3 Conclusion of the study
The main aim or intention of this research was to investigate how lack of credit finance affects
small and medium enterprises performance at Wakawaka market, Lilongwe. In relation to the
findings of the study, it can be concluded that small scale businesses in this area were not able to
have access to credit which in real sense affected their businesses to not being able to grow,
survive and develop. The inability of the business to develop, survive and grow was found to be
caused by limited access to credit finance that could help the business buy new technologies and
meet the business demand. The research findings revealed that majority of SMEs owners were
not able to have access to credit finance mainly because they lacked collateral to secure their
loans. This is the reason why many of these SMEs have not been able to perform as expected.
Therefore, the empirical study supports the idea that lack of credit finance has a significant
impact to the business performance.
Nevertheless, one of the key determinants of credit accessibility which was found to play a major
role in influencing the lenders have interest in giving SMEs loans at Wakawaka market, was
collateral. The findings reveal that many of the business owners were not able to have access to
credit due to lack collateral security that was used by the financial institutions as a primary
lending condition. Therefore, it can be concluded that the inability of businesses at Wakawaka
has been caused by lack of collateral which in turn affects their business performances for they
fail to meet their demands and of course unable to apply new technologies such as transacting
their businesses via computers or phones which require heavy capital.
40
         the business owners on the importance of accessing credit and train them on how
         effective can they use the accessed loan to ensure they benefit from it.
        The business operators should be encouraged to formulate village banks that can enhance
         the ability to have access to credit. The formulation of these groups can reduce the
         problem of limited fund to support their business operations for they may be borrowing
         each other amongst their groups.
41
References
Abdesamed, K., & Universily, W. A. (2014). Financing of Small and Medium Enterprisess
(SMEs): Determinants of Bank Loan Application. African Journal of Business Management .
Akerlof, G., Spence, M., & Stiglitz, J. (2002). Markets with Asymmetric Information: The
Contributions of George Akerlof, Michael Spence and Joseph Stiglitz. Article in Scandinavian
Journal of Economics, 12, 195-211.
Anvieni, D. (2014). Small and Medium Enterprises (SMEs) Access to Credit.
Ariyo, D. (2008). Small Firms are the Backbone of the Nigerian Economy. African Economic
Analysis .
Azende, T. (2011, March 5). An Empirical Evaluation of Small and Medium Enterprises Equity
Investment Scheme in Nigeria. Journal of Accounting and Taxation , 79-90.
Beck, T., & Cull, R. (2014). Small and Medium-Sized Enterprise Finance in Africa. African
Growth Initiative, 16.
Beck, T., Asli, D., Luc, L., & Vojislov, M. (2006). The Determinants of Financing Obstacles.
Journal of International Money and Finance (25), 32-52.
Bester, H. (2004). The Role of Collateral in Credit Markets with Imperfect information.
European Economic Review , 887-899.
Bihoctavia, T. (2013). Credit Accessibility and utilisation: The Micro and Small-Scale
Entrepreneurs' Experience in Uganda.
Chipeta, C., & Kanyumbu, E. (2018, Augast). Determinants of Access to Banking services in
Malawi. Southern African Institute for Economic Research .
Danes, A. M., Bonner, K., Hart, M., & Mason, C. (2009). Measuring Business Growth: High-
Growth Firms and Their Contribution toEmployment in the UK. Nesta Research Report.
Essien, U. A., & Arene, C. J. (2011). An Analysis of Credit markets and the Performance of
Small Scale Agro-Based Enterprises in the Niger Delta Region of Nigeria. International Journal
42
of Food and Agriculture Economics, 2 (3), 105-120.
Ghanavati, S., Siena, A., Arnyot, D., Susi, A., Perini, A., & Peyton, L. (2009). A Legal
Perspective on Businesss: Modeling the Impact of Law.
Hussain, T. (2012). Factors Influencing Demand for Credit from Formal and Informal Sources in
Gujranwala, District, Pakistan-AC case of Commercial Banks and Arties.
Hussein, H. M. (2015). The Relationship Between Credit Accessibility and Growth of Small and
Micro Enterprise in Langata Constituency.
Kemp, K. M., Verhoeven, J. M., & Zoetermeer, S. (2005). Growth Patterns of Medium-Sized
Fast Growing-Firms-the Optimal Resource Bundles for Organizational Growth and Performance.
Scales Research Report H200111.
Kung'u, G. (2011). Factors Influencing SME Access to Finance: A Case Study of Westland
Division, Kenya.
Lawder, C. (2003). GCSE Business Studies-Instant Revision. (C. Harper, Ed.)
Mac AnBhaird, C., & Lucey, B. (2010). Determinants of Capital Structure in Irish SMEs. Small
Business Economics , 357-375.
Majanga, B. (2015). An Analysis of Bottlenecks to SME Growth in Developing Countries: A
Case of Malawi. European Journal of Business and Management, 7 (24), 13-24.
Muriithi, S. (2015). The Relationship Between Leadership and Organizational Effectiveness.
Mwongera, R. K. (2014). Factors Influencing Access to Microfinance Credit by Young Women
Entrepreneurs' Projects in Athi-River, Machakos Country, Kenya. 45.
Ndala, N. N. (2019). Assessing the Access to Finance by Small and Medium-Sized Enterprises
from Financial Institutions in Blantyre City-Malawi. International Journal of Business and
Management, 14.
Nguyen, N., Gan, C., & Hu, B. (2015, March 26). An Empirical analysis of credit Accessibility
of Small and Medium Enterprises in Vietnam. Banks and Banks Systems , 34-46.
Nikolic, I., Dhamo, Z. H., Schulte, P., Mihajlovic, I., & Kume, V. (2015). An Analysis of Factors
Affecting Failure of SMes. Proceedings of the 11th International May Conference on Strategic
Management, (pp. 160-180). Bor Serbia.
Peterhoff, D., Romeo, J., & Calvey, P. (2014). Towards Better Capital markets Solutions for
SME Financing. (O. Wymann, Ed.)
Richard, C. (2019, September 2). Times Business.
43
Richard, Z. (2015). Small and Medium Enterprise (SMEs) Financing and Economic Growth in
Malaiwi: Measuring the Impact Between 1981-2014. Journal of Statistics Research and Reviews,
6.
Saunders, T., Debar, C. J., & Tatin-Jaleran, C. Research Methods for Business Students (5th ed.).
Prentice Hall:Harrow.
Schmidt, R., & Kropp, M. (2003, December 2). The Role of SMEs in Employment Creation and
Economic Growth in Selected Countries. International Journal of Education and Research , 461-
472.
Shinozaki, S. (2012). A New Regime of SME Finance in Emerging Asia: Empowering Growth-
Oriented SMEs to Build Resilient National Economies, Asian Development Bank.
Trust, F. (2012). Fin Scope Micro, Small and Medium Enterprise Survey Malawi.
Ubon, A. E., & Chukwuemeka, J. A. (2014). An Analysis of Access to Credit Markets and the
Performance of Small Scale Agro-Based Enterprises in the Niger Delta Region of Nigeria.
International Journal of Food and Agricultural Economics , 105-120.
Wairimu, w. (2015). Micro, Small and Medium-Sized Enterprise (MSMSEs) as Suppliers to the
Extractive. United Nations Development Programme Report.
Willemse, J. (2010). The Forum SA: SME Failure Statistics.
Wlodarczyk, B., Sztuio, M., Loneseu, G., Firoiu, D., Pirvu, R., & Badireca, R. (2018). The
Impact of Credit Availability on Small and Medium Companies. 5.
World Bank. (2012). Doing Business 2013.
World Bank Group. (2013). Doing Business 2014: Understanding Regulations for Small and
Medium Size Enterprises.
World Bank Group. (2018). Improving Access to Finance for SMEs: Opportunities Through
Credit Reporting, Secured Lending and Insolvency Practices.
World Bank. (2010). World Bank Enterprise Survey 2010.
Yeboah, J. (2015). Factors that Determine Credit Accessibility to Small Scale Enterprises.
Journal of International Business and Management , 43-65.
Zidana, R. (2015). Exploring Alternative Sources of Financing Small and Medium Enterprises in
Malawi. Afro Asian Journal of Sciences, 1.
44
Appendices
Questionnaire
The theme: investigating how lack of credit finance affects small and medium enterprises’
performance: a case study of Wakawaka market, Lilongwe.
I am Enock Kapote, an undergraduate student of Bachelors of Degree in Accountancy at
Nkhoma University. I have designed the following questionnaire based on the stated topic above.
I kindly request you to answer all the questions to the best of your knowledge and be aware that
all information collected via this questionnaire is confidential and will be used for academic
purpose only.
Instructions: Indicate with a tick (     ) or mark (X) in the space(s) given.
Section A: General information
     1. What is your gender?
        Male { }         Female { }
     2. What is your age group?
        Less than 20 years             { }                 21-25 years          { }
        26-30 years                    { }                31-35 years           { }
        36-40 years                    { }                40 years above        { }
     3. Level of education
        Masters { }            Undergraduate { }       Diploma { }              Certificate { }   Not
        educated { }
     4. Duration by which your business has been in operation
        1-5 years { }        6-10 years { }      11-15 years { }     16-20 years { } More than 20
        years { }
Section B: Loan/ credit accessibility
     5. What is/ are your major source of financing?
45
        Savings { } Bank loans or loans from other lending institutions { } Borrowing from
        friends or relatives { }
        Other              sources              of                finance            (please              specify)
        ------------------------------------------------------------------------------------------------------------
        -------------------------------------------------------
     6. Was the start-up capital adequate?
        Adequate { }                                  Not adequate { }
     7. Have you applied for credit in the past from any financial institution?
        Yes { }                           No { }
        If yes as in (c) above, do the credit offered from the financial institution improve your
        business performance?
        Yes { }                           No { }
     8. How many times have you been obtaining loans from the applied financial institutions?
        Not at all { }     1-5 times { } 5-10 times { } Above 10 times
     9. Rate the credit services offered by the banks and other lending institutions in your area
        Poor { } Average { }            Neutral { } Effective { } Very effective { }
46
         collateral.
     B   Banks              and      other
         lending institutions are
         focusing            more      on
         potential           to     repay
         rather             than       on
         collateral           in      our
         business.
     C   The requirements that I
         provide security for
         my loan have pushed
         me       to        seek     other
         means of financing to
         fund my business such
         as   borrowing              from
         friends and buying on
         credit.
     D   At times we apply for
         loans         as     a     group
         because we can easily
         co-guarantee                each
         other.
     E   Financial           institutions
         insist on the provision
         of collateral security as
         a    primary              lending
         condition.
     F   Lending             institutions
         are reluctant to avail
         credit to us because we
         work informally while
47
                         it is difficult for us to
                         provide        acceptable
                         confirmation         of     our
                         earnings.
         Section D: Legal status of the business
     12. Is your business legal?
         Yes { }                No { }
         If no as in (a) above, why have you not registered your business (please give a reason)
         ------------------------------------------------------------------------------------------------------------
         ------------------------------------------------------------------------------------------------------------
     13. Does registration of the business have some benefits?
         Yes { }                No { }
         If        yes        as         in           (b)    above,      give         a       reason         please
         ------------------------------------------------------------------------------------------------------------
         ------------------------------------------------------------------------------------------------------------
         ----------------------------------------------------
     14. Does the registration fee has an influence to a number of SMEs’ interest in getting
         registered their businesses?
         Yes { }                   No { }
         If your answer is yes as in (c) above, does the current registration fee attract the SMEs’
         attention to getting registered?
         Yes { }                     No { }
 Section E: Literacy level of entrepreneurs
     15. What is your level of agreement with the following statements relating to entrepreneurs
         literacy level and credit access. Use a scale of 1-5, where (1) strongly disagree, (2)
         Disagree, (3) Not certain, (4) Agree, (5) Strongly agree
              Rankings                                            1      2           3          4           5
48
          conditions.
     B    My education level has a corresponding
          impact    to   managing    my    business
          knowing skills and knowledge are
          needed in a business
49