The Determinants of the Financial Performance of Microfinance Institutions: Impact of the Global Financial Crisis

Published date01 March 2015
AuthorErwan Le Saout,Lâma Daher
DOIhttp://doi.org/10.1002/jsc.2002
Date01 March 2015
Strat. Change 24: 131–148 (2015)
Published online in Wiley Online Library
(wileyonlinelibrary.com) DOI: 10.1002/jsc.2002 RESEARCH ARTICLE
Copyright © 2015 John Wiley & Sons, Ltd.
Strategic Change: Brie ngs in Entrepreneurial Finance
Strategic Change
DOI: 10.1002/jsc.2002
The Determinants of the Financial Performance of
Micro nance Institutions: Impact of the Global
Financial Crisis
1
Lâma Daher
University Paris 1 Panthéon-Sorbonne (PRISM) , France
Erwan Le Saout
University Paris 1 Panthéon-Sorbonne (PRISM) , France
e micro nance industry has encountered several local crises during the period
following the declaration by the United Nations of 2005 as the International Year
of Microcredit, including Morocco in 2007, Bosnia-Herzegovina, Nicaragua, and
Pakistan in 2008, India in 2005 and 2010. Eager to fully cover their costs, micro-
nance institutions (MFIs) enjoy a much higher interest rate policy than conven-
tional commercial banks ( Fernando, 2006 ; Ashta, 2009 ; Rosenberg et al ., 2013 ).
e relatively high prices of micro nance products, namely microcredit, have been
criticized regarding their fairness in the context of lending to the poor ( Hudon
and Ashta, 2013 ). Other criticisms have portrayed MFIs as exploitative ( Priya-
darshee and Ghalib, 2011 ; Ghosh, 2013 ; Mader, 2013 ). For instance, in India,
the Andhra Pradesh crisis has called attention to the predatory behavior of certain
Indian MFIs, which were accused of deploying harassing methods to extract loan
settlements from their clients.  e suicides committed by some of these resulted
in an investigation as to whether this act was motivated by local political and social
unrest or by the harsh behavior of the lenders ( Ashta et al ., 2011 ).
Moreover, the desire of MFIs to improve their  nancial performance is con-
sidered, by advocates of the welfarist approach, to be the reason behind the high
interest rates charged to clients and their high determination to enhance loan
repayment rates. Following this approach, the pro t-seeking goal of MFIs con icts
with the goal of poverty alleviation ( Hermes et al ., 2011 ) and contributes to the
The most pro table micro nance
institutions are well capitalized,
have a high portfolio quality, low
cost inef ciencies, a high volume
of assets, a high share of
microcredit portfolios, and offer
large loans.
Highly pro table micro nance
institutions are located in Latin
America, and in the least-
developed countries, with good
institutional quality.
The recent international  nancial
crisis has caused a decline in
pro tability of the global
micro nance sector, notably in
2009.
With the growing scarcity of funding and the increasing commercialization of
micro nance institutions, the latter should protect themselves particularly from
the credit default risk of their microcredit portfolios and the risks related to  nancial
market  uctuation in order to optimize their  nancial performance.
1 JEL classi cation codes: C33, G01, G21, G23, G32, L31, O16.
132 Lâma Daher and Erwan Le Saout
Copyright © 2015 John Wiley & Sons, Ltd. Strategic Change
DOI: 10.1002/jsc
Literature review and assumptions
e nancial performance of MFIs refers to the process
of measuring the results of their strategies, policies, and
operations in monetary terms. It includes aspects of prof-
itability and  nancial sustainability. Pro tability indicates
how well an institution uses its assets to generate returns.
It can be gauged by the ratio of return on assets (ROA),
calculated as the net income after taxes divided by the
average total assets.  e nancial sustainability indicators,
expressing the ability of the MFI to survive over time,
include operational self-su ciency (OSS),  nancial self-
su ciency (FSS), and the self-su ciency index (SSI).
Although these indicators are largely used in micro nance
research ( Hartarska and Nadolnyak, 2007 ; Mersland and
Strøm, 2009 ; Ahlin et al ., 2011 ; Roberts, 2013 ), we
adhere to the recommendation of the guide on Micro -
nance Financial Reporting Standards (  e Seep Network,
2010 ), which favors the use of pro tability measures
rather than  nancial sustainability measures.  e guide
justi es the rejection of  nancial sustainability indicators
by the fact that they become less helpful as measures of
nancial performance once an MFI exceeds the breakeven
point (i.e., 100% sustainability).  us, the ROA ratio is
better suited to analyzing an established MFI s  nancial
performance.
We select the determinants mainly after examining
the existing literature, and consider  nancial performance
as a function of industry-speci c, internal, and external
factors. Many authors have indicated an interest in survey-
ing the literature related to the  nancial performance of
the micro nance industry; for instance, see Milana and
Ashta ( 2012 ) and Daher and Le Saout ( 2013 ).
Industry-speci c factors
We explore the in uence of the following industry-speci c
factors on pro tability: legal form, pro t status, experi-
ence, regulation scheme, and geographical location. We
cannot clearly predict the impact of these factors on MFI
pro tability; furthermore, the literature reported miti-
gates the results in this regard.
so-called mission drift of micro nance ( Christen and
Drake, 2002 ). However, the advocates of the opposing
approach, the institutionalists, argue that micro nance
will not be e cient in poverty reduction unless MFIs
improve their  nancial performance ( Christen, 2001 ). In
fact, with the increasing scarcity of free external  nancing
and subsidized loans, and ever more demanding investors,
the critiques of the pursuit of pro t maximization can be
reproached for being outdated and counter-strategic.
Funds from private and public investors, especially foreign
capital investments, as well as loans from commercial
banks, are applied to revenue-generating investments.  e
focus of these new market sources of funding is on pro t-
ability ( Ghosh and Van Tassel, 2011 ). MFIs should there-
fore concentrate on enhancing their  nancial performance
in order to carry on and grow.  e resulting high level of
MFI com mercialization might raise new risks though,
namely foreign exchange rate  uctuations and  nancial
market downturns.
ese reasons prompt us to inspect the  nancial per-
formance of MFIs using one-way and two-way panel data
regressions.  is innovative econometric methodology
allows us to consider the heterogeneity among MFIs and
across years.  e present article has three main objectives.
First, we investigate the determinants of  nancial perfor-
mance from within the MFIs and their country-level
context. We test the e ect of some new variables that have
not been investigated so far, namely the devaluation of the
local currency. Second, we examine the existence of dif-
ferences in  nancial performance between MFIs based on
their industry-speci
c characteristics, such as experience,
legal form, geographical location, and so on.  ird, we
inspect the impact of the recent global monetary crisis of
late 2007–early 2008 on the  nancial performance of
MFIs.  is article is organized as follows. In the subse-
quent section, backed by a broad literature review, we set
out our assumptions regarding the determinants of  nan-
cial performance. Next we describe the data, after present-
ing the applied models, and discuss our empirical results.
Lastly, we conclude.

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