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
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