Firstly, based on the current capital structure of microfinance institutions in the 2011
period up to now, it has been shown that equity and mobilized capital are the two main
sources of capital, as well as contribute an important role in the operation of microfinance
institutions in Vietnam.
Secondly, the results from the econometric model in chapter 3 also confirm that
equity and capital mobilized capital have positive effects on both the sustainability and
social performance of MFIs in Vietnam.
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Harvey (2001), Flannery and Rangan (2006), Marsh (1982), Opler and
Titman (1994), Taggart ( 1977), Hackbarth et al. (2007).
On the contrary, Baker and Wurgler (2002, p. 3) argue against the theory of trade-offs
and conclude "capital structure is the result of the effort over time in the stock market". In
addition, Fama and French (1998), Dawar (2014), Daskalakis and Psillaki (2005), and Salim
and Yadav (2012) also have counter-ideas to this theory.
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1.5.3 Theory of pecking order theory
1.5.3.1 Theoretical content
Contrary to the trade-off theory, the pecking order theory, which is introduced by
Myers and Majluf (1984) denies the existence of a target debt ratio. However, this theory
also agrees on building a priority selection for capital sources used by businesses.
1.5.3.2 Theoretical studies
Supporters of this theory are researchers such as Remolona (1990), Baskin (1989), De
Jong et al (2011). Also carried out research to check the suitability of pecking order theory,
but Lery and Roberts (2010) found that this theory only explains about 20% of financial
decisions of businesses, which is lower than the results given by De Jong et al (2011).
Besides, a number of studies also show that the level of explanation of pecking order theory
for the organizational capital structure is not high (Seifert and Gonenc, 2008; Helwege and
Liang, 1996; Frank and Goyal, 2003; Graham and Harvey, 2001).
1.5.4. Capital structure characteristics of microfinance institution
The difference in the mission and operation method has made the capital structure of
microfinance institutions and enterprises clearly different.
Firstly, microfinance institutions often receive more preferential capital sources than
enterprises.
Second, the capital structure of microfinance institutions always fluctuates based on
changes in customer demand.
Third, microfinance institutions have to comply with capital adequacy regulations,
while businesses do not.
1.5.5 The mechanism of the impact of capital structure on social sustainability and
efficiency
Based on differences in capital structure characteristics of MFI and business‟
ones, the author finds that bankruptcy and agency costs do have little impact on the
capital structure of microfinance institutions. In contrast, taxes and especially transaction
costs have considerable impact on the relationship between capital structure, the
sustainability and social performance of financial institutions. Therefore, the mechanism
for impacting capital structure on the level of sustainability and social performance is
built as follows:
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Chart 1.3 Mechanism of capital structure impact on sustainability and social
performance of microfinance institutions
Source: Self-developed author
The choice of different sources of funding determines the cost of capital that each
microfinance institution must pay to maintain its operations. This cost will have a direct
impact on the financial cost, and then on the sustainability of the organization. In addition,
microfinance institutions have always been known to operate with the goal of helping to
eradicate hunger and reduce poverty. Therefore, the use of capital sources with different
costs is also intangible, creating a certain pressure on the managers and executives of the
organization to ensure the balance between financial goals and social goals. As a result, the
social performance of microfinance institutions will also be affected.
Capital
Structure
Taxes, transaction costs
Financial expenses
Sustainability
level
Balancing
between
financial and
social goals
Social
performance
16
CHAPTER 2. THE CURRENT SITUATION OF CAPITAL STRUCTURE,
SUSTAINABILITY AND SOCIAL PERFORMANCE OF MICROFINANCE
INSTITUTIONS IN VIETNAM
2.1. The process of establishment of microfinance institutions in Vietnam
2.2. The legal environment for microfinance activities in Vietnam
2.3. Microfinance institutions in Vietnam
Microfinance providers in Vietnam are quite diverse. However, according to the
definition in the concept of microfinance institutions, the thesis only focuses on
analyzing the converted organizations licensed to operate under the credit institution law
(including TYM, M&MFI, Thanh Hoa MFOs / MFIs, and CEP) and social funds,
microfinance organizations/programs/projects that are registered and have annual
statistics and reports to the State Bank.
Also, due to being formed after microfinance institutions operating in other
countries in Asia, MFIs in Vietnam are not only different in several service providers,
but also, more importantly, there are distinct characteristics compared to MFIs in the
peer group.
First, the scale of Vietnamese MFIs is smaller than that of peers, and savings
mobilization has not played a major role in microfinance institutions. By contrast, equity
and debts make up the majority of the total capital of microfinance institutions in
Vietnam. Besides, loans from private entities make up only a very small proportion.
Second, the operating costs of MFIs in Vietnam are recognized as lower than
MFIs in other countries, laying foundation for microfinance institutions in Vietnam to be
easier to achieve profitability and maintain sustainability than microfinance institutions
in other countries.
Thirdly, the majority of MFIs Vietnam customers are women, showing that
microfinance institutions in Vietnam are ensuring the pursuit of social performance.
2.4 The capital structure of microfinance institutions in Vietnam
2.4.1. The capital structure of licensed MFIs in Vietnam
Based on data provided by the Microfinance Working Group in Vietnam, the author
found that the capital structure of licensed microfinance institutions in Vietnam is quite
diverse. In particular, licensed microfinance institutions have an impressive growth in the
ratio of capital mobilized from deposits to total capital, and also affirmed that savings are
17
gradually becoming an important source of capital. On the contrary, due to legal problems,
the ratio of borrowing capital in total capital has declined over time.
2.4.2 Current status of the capital structure of registered MFIs in Vietnam
Compared with licensed MFIs, registered institutions have a less diverse
complementary capital structure. Particularly, equity accounts for nearly 50% of the total
capital of registered MFIs. Loans and mobilized capital accounts for about 21% - 28%.
Finally, other capital accounts for a relatively modest proportion of 1% - 4%.
2.5 Sustainability of microfinance institutions in Vietnam
2.5.1 Current Situation of Sustainability of Licensed MFIs in Vietnam
The OSS ratios of institutions are all higher than 100% reflecting the operating
income of licensed microfinance institutions can cover the full operating costs. More
importantly, the OSS has not witnessed a big change over the years. However, based on
international standard, currently only OSS of TYM and CEP fulfil the requirements, which
is higher than 120%. More importantly, the OSS of TYM is not much different from the
standard threshold, OSS of CEP is not really stable and can fluctuate in the following years.
Therefore, maintaining and improving this index in the coming time is essential to ensure
the sustainable operation of licensed MFIs.
2.5.2. Current Situation of Sustainability of Registered MFIs in Vietnam
The average OSS of registered organizations over the years has been 120% higher,
and particularly somewhat higher than that of licensed organizations. However, when
focusing on the OSS analysis of each registered organization, it can be seen that there is a
huge difference in the sustainability between organizations. Moreover, the number of
registered organizations which have OSS higher than 120% is declining.
2.6. Social performance of microfinance institutions in Vietnam
2.6.1 Access level (A)
A comparison of the average number of borrowing clients of licensed and registered
microfinance institutions shows that the accessibility of licensed institutions is higher than
that of registered institutions.
2.6.2 The ratio of average outstanding loans to average income (B)
A comparison of the change in average outstanding loans/ GNI per capita over the
years of the licensed and registered organization can be seen that this ratio has not changed
much over time.
2.6.3 Cost per borrower (C)
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The average cost per borrower of a licensed organization is relatively higher than that
of a registered organization.
2.6.4 The proportion of female customers (D)
The proportion of female customers to the total number of borrowing customers of
licensed and registered microfinance institutions always accounts for over 88%.
2.6.5 Number of branches (E)
The number of branches in this study is considered to have very little variation; and
therefore, will be excluded when calculating the SPI value.
2.6.6 The portfolio at risk (G) and write-off ratio (H)
The percentage of the gross loan portfolio for all open loans that is overdue by more
than 30 day and the average write-off rate of licensed organizations are always lower than
that of registered organizations.
2.6.7 SPI index
The Social Performance Index (SPI) of microfinance institutions in Vietnam in the
period 2011 - 2017 tends to decrease over time. In particular, the comparison between SPI
of registered microfinance institutions and SPI of licensed microfinance institutions show
that the first one is better than the second one.
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CHAPTER 3. ASSESSMENT OF THE IMPACT OF CAPITAL STRUCTURE
ON SUSTAINABILITY AND SOCIAL PERFORMANCE OF
MICROFINANCE INSTITUTIONS IN VIETNAM
3.1 Overview of econometric models to assess the impact of capital structure on the
sustainability and social performance of microfinance institutions in Vietnam
3.1.1 The model for analysing the impact of capital structure on sustainability
The first model: a model for data series in many countries.
Figure 3.1: Models for data series in many countries
The second model: the model for the data series in a country.
Figure 3.2: Model for data series in a country
The third model: the model only focuses on assessing the impact of capital
structure on the sustainability of microfinance institutions.
Figure 3.3: The model focuses on assessing the impact of capital structure
20
Through analyzing three models for measuring the impact of capital structure on the
sustainability of MFIs, the author found that the second model - the model for the data
series in a country is more suitable for this study.
3.1.2 The model for analyzing the impact of capital structure on social performance
The first model: the model includes only the group of micro factors.
Figure 3.4: The model includes only micro variables
the second model: the model includes both based on both micro and macro variables.
Figure 3.5: The model uses both micro and macro variables
Through analyzing two models of measuring the impact of capital structure on the
social performance of MFIs, the author found that the first model - an analysis model based
on micro-factor groups is more appropriate because the study only focuses on microfinance
institutions in a country is Vietnam.
3.2 Evaluation of the impact of capital structure on sustainability and social performance of
microfinance institutions in Vietnam
3.2.1 Model description
Based on the developed analytical framework, the impact of capital structure on the
sustainability of microfinance institutions will be analyzed through the following model:
OSS = β0 + β1* EAit + β2 *DPit +β3*BAit + β4*OAit + β5*Sizeit + β6*FBit + β7*OERit +
β8*CPBit + β9*BPLOit + β10*PAR30it + β11*AGEit + β12*PSit + β13*RSit + β14*LMit + ε (1)
Whereby:
Β0: Intercept
β1-14: estimated coefficients
ε: error term
21
OSS: Sustainability level
EA: The ratio of equity to total assets
DP: The ratio of mobilized capital to total assets
BA: The ratio of borrowings to total assets
OA: The ratio of other debt to total assets
Size: Gross loan portfolio of MFI
FB: The ratio of female borrowers
OER: The ratio of operating cost
CPB: The ratio of cost per borrower
BPLO: The ratio of borrowers per loan officer
PAR 30: The ratio of portfolio at risk over 30 day
AGE: The number of years in which organization operates
PS: Profit status
RS: Regulatory status
LM: Lending method
To answer research question 2, a multi-variable linear regression model was also
used; in which, the dependent variable is SPI, the independent variable is equity over total
assets (EA), capital raised from deposits on total assets (DP), borrowings to total assets
(BA), other debt to total assets (OA), size (size), number of customers per credit officer
(BC), profit stauts (PS), legal status (RS), lending method (LM), oerating years (AGE), lag
SPI and lag PS. Specifically, the model has the following formula:
SPI = β0 + β1* EAit + β2 *DPit +β3 *BAit + β4*OAit + β5*Sizeit + β6*BC it + β7*PSit +
β8*RSit+ β9*LMit + β10*AGEit + β11*Lag SPIit + β12*Lag PSit € (2)
β0: Intercept
β1-12: Estimated coefficients
€: error term
3.2.2 Description of the variables used in the model
3.2.2.1 Variables used in the model for analyzing the impact of capital structure on
sustainability
a) Dependent variable
The dependent variable used in the model is OSS.
b) Independent variables
The sources forming the capital of MFIs (capital mobilized from deposits, borrowed
capital, other debts, and equity) will be used as the proxy for capital structure.
22
Besides the group of capital structure variables, the group of variables on
characteristics of microfinance institutions is also used in the model, including size; the
percentage of female customers; cost per borrower; operating cost ratio; the number of
customers per credit officer; the rate of risk balance over 30 days; operating period, the
average yield on the total outstanding balance, legal status, lending method).
Based on the theoretical basis of capital structure, results of previous studies, as well
as the operating conditions of microfinance institutions in Vietnam, the author hypothesizes
the impact of the variables on the dependent variable is as follows:
Table 3.1. Hypothesis impacts of the independent variables on the dependent
variable
STT Impact variables Acronym Sign
1 The equity to total assets EA +
2 The mobilized capital to total assets DP +
3 The borrowings to total assets BA -
4 The other debt to total assets OA -
5 Gross loan portfolio Size +
6 The ratio of female borrowers FB +
7 Cost per borrower CPB -
8 The ratio of operating cost OER -
9 Borrowers per loan officer BPLO +
10 The portfolio at risk over 30 day PAR 30 -
11 Operating year AGE +
12 The average yield on the total outstanding balance PS +
13 Regulatory status RS +
14 Lending method LM +
3.2.2.2 Variables used in the model for analyzing the impact of capital structure on the
social performance of microfinance institutions in Vietnam
a) Dependent variable
The dependent variable used in the model is the SPI which is formed by 7 variables
named target of access (A), ratio of average outstanding loans to average income (B), cost
per borrower (C), ratio of female clients (D), OSS (F), the ratio of portfolio at risk over 30
day (G) and write-off rate (H).
23
b) Independent variables
The sources forming the capital of MFIs (capital mobilized from deposits, borrowed
capital, other debts, and equity) will be used as the proxy for capital structure.
Besides the group of capital structure variables, the group of variables about the
characteristics of microfinance institutions is also used in the model including size, number
of customers per credit officer, time of operation, the average yield on total outstanding,
legal status and lending method.
Based on the capital structure theory and the results of previous studies, the author
hypothesizes the impact of the independent variables on the dependent variable as follows:
Table 3.2. Hypothesis impacts of the independent variables on the dependent
variable
STT Inpact variables Acronym Sign
1 Equity to total assets EA +
2 Mobilized capital to total assets DP +
3 Borrowings to total assets BA -
4 Other debt to total assets OA -
5 Gross loan portfolio to total assets SIZE +
6 Borrowers per loan officer BPLO +
7 The average yield on the total outstanding
balance
PS -
8 Regulatory status RS -
9 Lending method LM +
10 Operating year AGE -
11 Lag PS LagPS +
12 Lag SPI LagSPI +
3.3 Data and research results
3.3.1 Descrition of the statistics
3.3.2 Research results of model for assessing the impact of capital structure on the
sustainability of microfinance institutions in Vietnam
3.3.2.1 Regression results
Table 3.5: Results of the REM regression model estimation
24
Variable Coefficient Std. Error t-Statistic Prob.
C 472.1715*** 110.7141 4.264781 0.0000
EA 1.126835*** 0.244797 4.603134 0.0000
DP 1.127743*** 0.409753 2.752251 0.0066
OA 0.513946 1.152903 0.445784 0.6564
LOG_SIZE -7.324464 11.25622 -0.650704 0.5162
FB -3.126682*** 0.905044 -3.454729 0.0007
LOG_CPB -27.11789 25.25183 -1.073898 0.2845
OER -2.552263* 1.528775 -1.669483 0.0970
BPLO -0.005756 0.025502 -0.225721 0.8217
PAR_30 -7.101701 5.166675 -1.374520 0.1713
AGE 0.013726 1.313880 0.010447 0.9917
PS 1.460687*** 0.544646 2.681901 0.0081
RS -32.59415 29.70525 -1.097252 0.2742
LM -47.42429*** 18.01713 -2.632177 0.0093
Note: *,**,*** indicate significance at the 10%, 5% and 1% levels
Source: Author's analysis from secondary data
Table 3.6: Results of reduced model 1
Variable Coefficient Std. Error t-Statistic Prob.
C 401.0163 79.47154 5.046036 0.0000
EA 1.207609*** 0.225602 5.352828 0.0000
DP 1.054746*** 0.304674 3.461884 0.0007
FB -3.312479*** 0.833216 -3.975535 0.0001
OER -3.087107*** 1.142183 -2.702811 0.0076
PS 1.181572** 0.460051 2.568351 0.0111
LM -31.30115** 15.07611 -2.076208 0.0394
Note: *,**,*** indicate significance at the 10%, 5% and 1% levels
Source: Authors' analysis from secondary data
The results of the regression model show that all variables have a significant impact
on the sustainability of microfinance institutions in Vietnam at the significance level of 1%
or 5%. In addition, the impact dimension of the variables is quite similar to the research
hypothesis given in Section 3.2.1.
Table 3.7: Comparison between hypothesis and model 1 research results
Impact variables Hypothesis Research result Conclusion
Equity to total assets (EA) + + Accept
25
Mobilized capital to total
assets (DP)
+ +
Accept
Female borrowers (FB) + - Deny
Operating expense ratio
(OER)
- -
Accept
Profit status (PS) + + Accept
Lending method (LM) + - Deny
Specifically, the variables of capital structure including equity over total assets and
mobilized capital to total assets have a positive impact on the sustainability level, as well as
consistent with the given hypothesis. In addition, average return on total outstanding loans also
shows a positive impact on the sustainability of MFIs in Vietnam. On the contrary, the variable
of the proportion of female customers and the lending method have a negative sign reflecting
the inverse relationship with the level of sustainability. Therefore, in the next section, the
explanations of the impact trends of the variables will be clarified.
3.3.2.2 Discussion of the results
Equity to Total Assets (EA): The variable EA is positively related to OSS. This result
is completely consistent with results in studies on the sustainability of microfinance
institutions both in Vietnam (Dao Lan Phuong, 2019; Nguyen Quynh Phuong, 2017) and in
other countries (Mwizarubi et al., 2015; Nyamsogoro, 2010). Specifically, the equity capital
of microfinance institutions, especially registered ones, comes mainly from contributed
capital sources and sponsored capital with very low costs. Therefore, the use of this capital
will certainly help microfinance institutions to stabilize operations and create more profits.
However, equity financing becoming increasingly declining, especially since Vietnam
entered the ranks of middle-income countries. Therefore, the use of equity will be affected
more or less in the future.
Deposit-to-Total Assets (DP): The value of the regression coefficient is 1.054
showing that mobilized capital has important implications for the sustainability of
microfinance institutions in Vietnam. This result is completely similar to conclusions from
many researchers in the microfinance field such as Mwizarubi et al (2015); Iezza (2010);
Muriu (2011) and Hossain and Asam (2016). Particularly, mobilized capital is considered to
have a relatively low cost of capital; therefore, the increase in the ratio of mobilized capital
to the total capital will help microfinance institutions in Vietnam save costs, thereby
increasing profitability and sustainability. Kinde (2012) also argues that the use of
mobilized capital also indirectly helps microfinance institutions strengthen strong customer
relationships because they can attract and provide credit to customers at a more attractive
and preferential interest rate.
26
The proportion of female customers (FB): The regression coefficient of this ratio is at
-3.31, reflecting the inverse relationship with the OSS sustainability level. This result is
somewhat different from the conclusion given by many researchers such as Nyamsogoro
(2010), Ali (2013), and Muriu (2011) as many researchers all argue that female customers
are guests with a very high repayment commitment. However, the inverse relationship
between FB and OSS has also been confirmed in a previous studíe on the sustainability of
microfinance institutions in Bangladesh (Hossain and Asam, 2016). In addition, in the
Vietnamese context, female customers can be those with high repayment commitments; but,
their power in the family is low. Moreover, the limited business capacity of female clients
also is the barrier that makes loans for female customers is not working. Specifically, Le Thi
Thu Huong (2016) in the study on difficulties and challenges of rural female workers
pointed out four points to note, including (i) limited access to vocational training; (ii)an
increasing in migration; (iii) limitations in improving social understanding and (iv)
difficulties in integrating with the strong changes of socio-economic life. Besides, the
amount of housework of rural women is also relatively large as most of them have to take
care of housework, raise children, and take care of the elderly; therefore, the efficiency in
using capital is not high.
Operating cost ratio (OER): The variable OER has a regression coefficient of -3.08
reflecting the inverse relationship with the OSS sustainability level. This result is
completely similar to conclusions made by many researchers such as Nyamsogoro (2010)
Hossain and Asam (2016), Tehulu (2013), and Iezza (2010). Specifically, the authors argue
that an increase in operating costs will reduce profits and thus negatively impact the
sustainability of microfinance institutions. Besides, when operating costs increase too high,
a part of this cost will be transferred to borrowers; therefore, it will also indirectly put
pressure on borrowers and can affect the efficiency of capital use of customers in the future.
Average Return on Total Debt (PS): The variable PS has a regression coefficient of
1.18, indicating a positive relationship with the OSS sustainability. This result is completely
similar to the conclusion made by Iezza (2010).
Lending method (LM): The variable LM has a regression coefficient of -31.3,
reflecting the inverse relationship with the OSS sustainability. This result, according to the
author, is due to the differences in customer characteristics when using different lending
methods. Specifically, the introduction of group lending is often associated with
disadvantaged customers in society - people with low incomes, relatively limited education,
and no assets. accumulation. Therefore, group lending was born with the desire to use social
constraints, and mutual assistance between-group borrowers to improve the repayment
capacity of this group of customers. In contrast, individual lending is often applied to
customers with relatively better qualifications and incomes. As a result, lending to
27
individual might help MFIs can be profitable and higher degree of sustainability.
3.3.3 Research results of
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