Abstract

 
 
 Microfinance institutions (MFIs) have the dual objective of providing social welfare and financial stability. We evaluated the financial efficiency of MFIs in sub-Saharan African countries by comparing their regional performances during the period 2004–2013. We addressed prevailing MFI heterogeneity by using the concept of ‘metafrontier’. The results showed that on an average, more than half the MFIs showed a drop in productivity. The measure of how much one country gets closer to or further away from world frontier technology is commonly known as the TGC score. In world frontier technology, East and South Asian countries have taken the lead (TGC score 1.0048) while sub-Saharan African countries lag behind (TGC score 1.0020). Most East and South Asian countries have a TGC score of 1, and most sub-Saharan African countries have a TGC score less than 1. This signifies that Asian countries lead world frontier technology and most African countries do not. The decomposition of efficiency scores showed that with regard to technical changes, African nations had progressed on average only 0.01%, and efficiency change scores had regressed by 0.59% annually.
 
 
 
 
 Significance: 
 
 
 
 First efficiency study on microfinance institutions and their heterogeneity in Africa.
 The results show robust discrimination among the efficiency scores.
 
 
 
Highlights
Microfinance institutions (MFIs) are commonly known as ‘banks for the poor’
From the results of Malmquist Index (MI), it is seen that the productivity change among the sub-Saharan Africa (SSA) and Middle East and North Africa (MENA) countries, on average, declined slightly over the study period
Our study examined the issue of heterogeneity among MFIs worldwide.[20]
Summary
Microfinance institutions (MFIs) are commonly known as ‘banks for the poor’. Mainstream financial institutions, such as commercial banks, do not allow poor households access to their services because of those households’ poor economic status or creditworthiness. Hermes and Lensink[1] studied 435 MFIs worldwide using a stochastic frontier approach to measure both financial and social efficiency. Among these studies, a major limitation is their methodology, in that they did not properly account for heterogeneity among MFIs20. The researchers used self-organising map methodology to study 650 MFIs, and the results showed a positive relationship between MFI heterogeneity and social efficiency. An efficient MFI can serve the welfare purpose better than a bankrupt MFI
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