Microfinance: Methods, Models and its Impact on Economic
Development
TETIANA KULINICH
Department of Management of Organizations, Lviv Polytechnic National University, UKRAINE
NATALIIA DOBIZHA
Department of Banking Finance and Insurance, Vinnytsia Educational and Research Institute of
Economics, West Ukrainian National University, UKRAINE
OKSANA DEMCHENKO
Department of Finance, Vinnytsia Institute of Trade and Economics of Kyiv National University of
Trade and Economics, UKRAINE
OLENA BODNAR
Department of Finance, Banking and Insurance Department of Finance, Banking and Insurance,
Mykolayiv National Agrarian University, UKRAINE
VILTORIIA MYRONCHUK
Department of Banking Finance and Insurance, Vinnytsia Educational and Research Institute of
Economics, West Ukrainian National University, UKRAINE
ANDRII ZELENSKYI
Department of Finance, Banking, Insurance and Electronic Payment Systems, Podillya State Agrarian
and Engineering University, Vinnytsia Educational and Research Institute of Economics, West
Ukrainian National University, UKRAINE
Abstract: - The main purpose of the academic paper is to analyze the dynamics of microfinance services and
assess their impact on the entrepreneurial activity of small and medium-sized enterprises and the consequences
for the population. Methods of generalization, analysis, comparison, correlation and regression analysis have
been used in order to achieve the purpose outlined. The academic paper considers the impact of microfinance
services on the performance of small and medium-sized enterprises in the form of net profit. The results have
showed that the impact of the cost of microfinance services on the development of financial activities of small
and medium-sized businesses have a positive result, and, when using the proposed regression equation, the
company will receive positive results in 2020-2024. The conducted correlation analysis of the impact of
microfinance services on the level of the average salary of the population of Ukraine has revealed a high level
of dependence of citizens on loans obtained. This is confirmed by the high correlation coefficient.
Key-Words: - Microfinance, Financial Services, Microcredit, Microinsurance, Microdeposits
Received: April 22, 2021. Revised: November 15, 2021. Accepted: December 16, 2021. Published: January 11, 2022.
1 Introduction
The main purpose of microfinance is to improve the
financial situation of the population and increase the
economic development of a country or a region.
Consumers of microfinance services are citizens
with low-income, retirees, students, people who
have fallen on hard times, as well as people who
plan to start their own business. However, with the
development of market relations, the need for
financial services arises among farmers,
entrepreneurs of small and medium-sized
businesses. The relative share of 85% among
microfinance services belongs to micro crediting. In
the structure of financial services, the basic ones are
credit, microinsurance and microdeposits. However,
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despite the positive aspects of microfinance, the
question remains open whether microfinance
services are really effective in improving the lives of
the population.
The positive impact of microfinance services is
manifested not only in the profits of microfinance
institutions, but also in the establishment of
financial well-being of citizens. For an individual or
small business, access to financial services makes it
possible to receive loans, make timely payments,
save and insure risks. In general, micro-
organizations set a full interest rate of 0-2%,
however, this is the cost for one day of use without
additional fees and charges. Herewith, the annual
rate can reach several hundred percent. This
situation leads to the deterioration of the financial
condition of citizens and the bankruptcy of small
and medium-sized businesses.
2 Literature Review
Numerous scientific achievements of scientists have
been devoted to determining the impact of
microfinance on the country’s economy. Scientists,
such as: Morduch [1], Milgram and Lynne [2],
Mosley [3], Vergun and Matvienko [4] describe the
popularity of microfinance services and their
positive impact on economic development.
However, the works of Sodoma et al. [5], Shiriyan
[6], Gritsenko [7], Kravchenko [8], Krasnomovets
[9] have revealed the negative consequences of the
introduction of financial services. Some relevant
studies can be found in [10] and [11]. Despite the
significant scientific achievements of scientists, the
issue remains debatable and requires further
research.
Verhun and Matvienko agree with this statement,
arguing in their investigations that “microfinance
means the creation of stable local financial
institutions [4]. Building financial systems for the
poor involves creating strong local financial
intermediaries that can provide financial services to
the poor on a long-term basis”. Volha divides
microfinance models into two stages, namely: first,
depending on the type of countries and their
economic level (advanced countries; developing
countries; countries with economies in transition);
secondly, author argue that the national economy of
each country is characterized by a separate model of
microfinance (“Hungarian”, “Polish”, “Bolivian”,
etc.), with its inherent features and microcredit
organizations [12]. Tadjibaeva et al. consider it
appropriate to divide microfinance models into the
following types: a “rural model”, an educational
model, a credit model [13].
However, Abrar [14] argues that in order to
determine the state of microfinance services it is
necessary to use a correlation matrix that examines
the degree and direction of the interrelationship
between variables, namely the impact of financial
and social performance of microfinance institutions
on loan interest rates. Return on Equity (ROE),
Return on Assets (ROA) and Success Rate (OSS)
indicators have been used to analyze financial
indicators. This technique has positive consequences
for consumers of microfinance services;
microfinance organizations have the opportunity to
reduce their costs by reducing the lending rate from
5-10%.
Some authors emphasize that the basic problem
of the functioning of microfinance organizations is
the high-risk factor for non-repayment of loans by
consumers. Therefore, scientists propose an
approach to the formation of reserves of
microfinance institutions. However, they suggest
that it is necessary to divide the microfinance
organizations into two groups in order to improve
their functioning, namely: “banking” ones
(microfinance banks and companies) and “non-
banking” (private microfinance institutions) [10;
11].
3 Methods
To study the impact of microfinance on economic
development, the study analyzed the subsistence
level, the dynamics of average and minimum wages
of the population of Ukraine, microfinance services
of the population of Ukraine.
To study the relationship between microfinance
and wages of the population of Ukraine, as well as
microfinance and financial performance of
Ukrainian enterprises in the study used the method
of correlation and regression analysis. Interpretation
of indicators was carried out using the Chaddock
scale. Information data for the study were obtained
from official websites, namely: official materials of
the National Bank of Ukraine [15; 16], State
Statistics of Ukraine, the Pension Fund of Ukraine,
the Ministry of Finance of Ukraine [17], the
Ministry of Social Policy of Ukraine [18].
Forecasting of indicators of financial results and
microfinance of the enterprises of Ukraine is carried
out by means of functions “forecast” of the
statistical analysis. This function is a linear
regression that allows you to estimate the degree of
dependence between variables, offering a
mechanism for calculating the estimated value of a
variable from several already calculated values.
That is, based on a statistical sample of certain
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values of the function F (x) and arguments x, you
can predict the behavior of the function by
substituting new values of arguments.
4 Results
Microfinance is a system of financial support for
individuals and businesses in case of adverse
situations or deteriorating living conditions. The
process of microfinance can be implemented
through methods (see Fig. 1), which are divided into
microcredit, microinsurance and microdeposits.
Fig. 1. Methods of microfinance
Each of the methods outlined has a list of
financial services in its structure, which is
constantly updated and expanded. Thus, taking into
account the volume of microfinance level in
Ukraine, the structure of microfinance services is
distributed as follows: the leading place belongs to
microcredits 80% (or 4,10250.00 million UAH),
microdeposits 12% (or 311,05 million UAH),
microinsurance 8% (or 21,2 million UAH) in
2020. The full range of microfinance services can be
obtained through: informal financial organizations
(creditors, pawnshops, savings and credit unions);
member organizations (credit and savings
association); non-governmental organizations
(specialized institutions), formal financial
institutions (commercial banks, state banks, non-
bank financial institutions).
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Fig. 2. Models of microfinance
In countries where the models shown in Figure 2
are used, the process of microfinance is carried out
through the creation of a credit system in order to
increase the level of profitability and sustainability
of small and medium-sized enterprises, which in
turn will increase the number of jobs, improve
productivity. The creation of microfinance models
aims to provide financial support to the
economically active population in the form of loans
for entrepreneurial activities, which in turn will
contribute to the creation of local markets and
increase incomes. These models are developed for
the long-term perspective in the expectation of a
positive result from the business activity of
borrowers who have special professional education
and practical experience for running a small
business.
In order to create a “Ukrainian” model, the basic
objective is to regulate the financial sector, balance
the financial support of microfinance structures and
improve legislation and regulations in this financial
area as well as promote the development of
microfinance institutions.
Programs providing microfinance services are as
follows: 1) for microcredits the amount that can
be obtained up to 3 000 UAH for new customers, 10
000-15 000 UAH for regular borrowers for up to 1
year; the interest rate depends on the conditions of
the microcredit institution that provides this service;
2) for microinsurance – the sum insured ranges from
0,1 to 3%; the term of the contract is 1 year; 3)
microdeposits the amount that can be deposited
into the account is from 500 UAH for up to 18
months.
Ukrainian companies providing microfinance
services are popular not only with the population,
but also with entrepreneurs. In the “Ukrainian”
model, the following organizations are entitled to
provide microfinance services, namely: specialized
institutions dealing exclusively with crediting. They,
in turn, are funded by external sources; credit
unions. They are formed to provide financial
services to their members. The sources of funds are
directly the contributions of members. As a rule,
such structures have no external revenues; credit
agricultural cooperatives. They deal mainly with
farms and enterprises engaged in agricultural
production, processing and marketing of
manufactured products, purchase of equipment, new
technologies, construction and reconstruction of
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production facilities, etc.; funds of supporting small
businesses. Such associations provide services
without a bank license.
Table 1: Dynamics of the average wage and microfinance services for the population of Ukraine, million UAH
Indicator
Average
value
Growth rates
from 2015 till 2019,
%
2015
2016
2017
2018
2019
Average wage,
UAH
3661,41
4482,35
6273,45
7841,88
9205,19
6292,86
251,41
Microcredit
89,56
91,5
87,95
98,50
101,23
93,75
113,03
Microinsurance
13,89
11,32
10,58
12,5,
16,3
322,95
117,35
Microdeposits
141,58
132,12
125,68
140,00
151,26
3453,20
106,84
Analyzing the data in Table 1, it should be noted
that the growth rates of microcredit, microinsurance
and savings on deposit accounts increased by
13,03%, 17,35% and 6,84% respectively.
Table 2: Correlation matrix of average wages and microfinance services for the population of Ukraine
Average wage
Microcredit
Microinsurance
Microdeposits
Average wage
1
Microcredit
0,832067
1
Microinsurance
0,460069
0,691114
1
Microdeposits
0,483094
0,789322
0,970421
1
According to the Chaddock’s scale, the
interrelationship between microcredit and the size of
the average wage is strong, forasmuch as the
correlation coefficient is 0,832. The impact of
microinsurance and microdeposits on the size of the
average wage of the population can be considered
moderate according to the correlation coefficients of
0,46 and 0,48. This analysis is a confirmation that
microcredits are the most popular among the
population. The analysis of dynamics shows that the
growth rate of profits of Ukrainian enterprises for
the period 2015-2019 was 17,63 times (or 494
073.28 million UAH); growth rates of microcredit
are 122,62%, microinsurance 120,0%,
respectively.
Using the regression equation will reveal the
dependence between the studied values:
321 225.5673.20.804X106545.966Y XX
where: Y received profits (losses) of enterprises,
million UAH; Х1- microcredit, million UAH; Х2
microinsurance, million UAH; Х3 microdeposits,
million UAH. The calculated data of the regression
equation and the results of regression statistics of
the dependence of net profit on factors are presented
in Table 3.
Table 3: Dependence of net profit (loss) and microfinance services of Ukrainian enterprises
Coefficients
Standard error
t-statistics
P-Value
Bottom 95%
Top 95%
Bottom 95,0%
Top 95,0%
Y
10645,966
1706.023
6,240
0,101
-1,107
323,230
-1,107
3232,304
X1
0,804
1,279
-2,191
0,272
-19,063
13,454
-19,062
13,454
X2
-2,673
265.882
-4,766
0,131
-4645,711
211,007
-464,571
211,007
X3
-5,225
655.432
-7,972
0,079
-135,529
310,250
-135,529
3102,120
Regression statistics
Multiple regression coefficient R
0,99803
Coefficient of determination
2
R
0,99606
Standardized coefficient of determination
2
R
0,98425
Standard error
0,41805
Observation
5
The obtained indicators characterize the
possibility of using this model for forecasting profits
by enterprises when using microfinance services.
The coefficient of multiple correlation R, which is
0,99803, indicates the quality of the obtained model
and its high correlation. The coefficient of
determination R2 is 0,99606, which characterizes
the correspondence between the original data and
the regression model, because its value is as close as
possible to one point. The standard regression error
(0,41805) shows the approximate value of the
prediction. The dispersion analysis of the
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dependence of net profit (loss) on microfinance
services of Ukrainian enterprises has confirmed the
sufficient regularity of variables. In particular, F
significance is 0,079829, and the variance and F-
statistics, which are characterized by a high value,
reflect the variation of the dependent and
independent variables, which is evidence of the
significance of the regression equation. In order to
confirm the validity of the model, Table 4 reflects
the calculation of net profit (loss) from microfinance
services of Ukrainian enterprises according to the
regression equation data.
Table 4: Calculation of net profit (loss) from microfinance services of Ukrainian enterprises, million UAH
Year
Y (actual)
(Х1)
(Х2)
(Х3)
Total
Y (calculated by
the regression
equation)
2015
-373516,00
248754,00
1,50
161,23
248916,73
209797,75
2016
29705,00
301449,00
1,30
154,89
301605,19
252030,72
2017
168753,00
315448,00
1,30
152,60
315601,90
261495,50
2018
288305,00
350986,00
1,60
140,50
351128,10
292100,32
2019
523779,00
305017,00
1,80
133,70
305152,50
555176,24
Continuation of regression analysis is the
forecasting of indicators for the future period by
using the functions “forecast” of statistical analysis.
This function is a linear regression that allows
assessing the degree of dependence between
variables, offering a mechanism for calculating the
estimated value of a variable from several already
calculated values. That is, based on a statistical
sample of determined values of the function F (x)
and arguments x, one can predict the behavior of the
function by substituting new values of arguments
(see Fig. 3).
The result of the forecast analysis proves that the
net profit of small and medium enterprises tends to
increase. The conducted regression analysis has
shown that with an increase in net profit by 1
million UAH, the entrepreneur is obliged to increase
the use of microloans by 0,804 million UAH, to
reduce the attraction of microinsurance services in
the amount of 2,673 million UAH and to reduce the
volume of microdeposits by 5,225 million UAH.
Correlation analysis of the dependence on
microfinance services has shown that the closest
interrelationship is established between the average
wage and microcredit (0,832067).
Fig. 3. Forecast data of net profit (loss) of small and medium-sized enterprises based on the use of the
regression equation for 2020-2024, million UAH.
Obtaining microcredit for the population is a way
out of a difficult situation. The regression analysis
has shown that when using the regression equation,
small and medium-sized businesses are able to
reduce losses and improve the level of net profit.
Forecast data show that the growth rate of net profit
will increase by 164,15% (or 356,167.86 million
UAH) compared to 2024 with 2020.
5 Discussion
Microfinance instruments, in particular microcredit,
play a key role in the implementation of the
European strategies to support entrepreneurship,
employment, social and financial inclusion [19; 20].
The results of survey [21] reflect a steady growth of
the microfinance sector over the past two years.
Total growth remained high in terms of portfolio
size and new customers, while the sector’s social
mission and organizational characteristics remained
largely unchanged. Authors observe some
differences between Western and Eastern Europe,
0
200000
400000
600000
800000
1000000
2020 2021 2022 2023 2024
533368,08 635740,81
752503,704 854189,2322 911344,0958
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but there are more similarities than differences in
general.
Volha [12] argues that the use of microfinance
models involves the implementation of services
through a list of microfinance organizations, the
purpose of which is to improve the living standards
of the population and obtain income. In our
research, a correlation and regression analysis has
been carried out in order to identify the
interrelationship of dependence between
microfinance and its impact on the financial
activities of enterprises. Obtained results have
confirmed the positive impact of microfinance
services on the enterprises' net income. However,
the correlation analysis of the dependence of the
received average wage on microfinance financial
services has shown the demand only for
microcredits. The required development will aspire
to strengthening of the formal segment into the
micro financial industry. That means to minimize
the groups ‘destination’ and ‘extreme poor’ and so
to strengthen the functioning of the Business
model’ [22; 23]. Abrar has suggested using the
panel data estimation method and the Hausman test
for microfinance analysis [14]. The obtained results
show that all indicators of financial results have a
significant positive attitude towards the loan interest
rate. It has been established that the smaller the size
of the loan is, the higher the interest rates are, which
are charged by microfinance institutions. Tadjibaeva
et al. propose to use the “MIX” model in order to
assess microfinance, which includes a comparative
and trend analysis of indicators of microfinance
institutions. This model evaluates long-term
prospects, sustainability, quality of management,
corporate governance. The aggregate estimate is an
assessment of the long-term stability and solvency
of a microfinance organization through a
comprehensive assessment of risks, activities,
reputation, and market position [13].
The COVID-19 pandemic has hit at a time when
microfinance is at its historical peak, with an
estimated 139 million microfinance customers
globally. Some researchers suggest that as a result
of the health and economic impacts associated with
COVID-19, credit-taking is likely to escalate further
in terms of the number of borrowers and loan
amounts. Furthermore, to reverse the reliance of so
many households on the microfinance industry for
survival, inclusive socio-economic policies and
public welfare services must be prioritized [24].
6 Conclusions
The results of the research have showed a positive
impact on improving the financial situation of both
enterprises and population. It has been proven that
for small and medium-sized businesses, the
involvement of microfinance services in financial
activities has a positive result in the form of an
increase in net profit. This is confirmed by the
correlation-regression analysis, which has showed
the density of the interrelationship between the
variables, which is evidence of the dependence of
the analyzed indicators from each other. Along with
this, a regression equation has been formed,
compliance with which will provide a net profit,
which has been projected for the period of 2020-
2024. The conducted correlation analysis of the
impact of microfinance services on the size of the
average wage has showed a close connection only
with microcredit services. This is evidence that
microloans are most in demand among the
population. This is confirmed by the illustrated
structure of microfinance services in Ukraine.
However, the question remains debatable
whether the main function of microfinance is
improving the living standards of the population,
forasmuch as microfinance institutions provide
services for low-income segments of the population,
giving a small amount of loans, while requiring a
high interest rate to cover the cost of the service,
associated with a loan. The issue of improving the
living standards of the population through the use of
microfinance services needs further research.
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WSEAS TRANSACTIONS on ENVIRONMENT and DEVELOPMENT
DOI: 10.37394/232015.2022.18.16
Tetiana Kulinich, Nataliia Dobizha,
Oksana Demchenko, Olena Bodnar,
Viltoriia Myronchuk, Andrii Zelenskyi
E-ISSN: 2224-3496
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Volume 18, 2022