Twaha, Koire and Rashid, Abdul (2012): Exploring the determinants of the productivity of microfinance institutions in India.
Preview |
PDF
MPRA_paper_45715.pdf Download (465kB) | Preview |
Abstract
This paper attempts to investigate the determinants of productivity in microfinance institutions (MFIs) in India using the Empirical Bayesian technique. To do this, we utilize an unbalanced panel data set covering the period 2005-2011 with 292 observations from 64 institutions.Based on theoretical grounds, three broad factors are specified: institutional characteristics, outreach, and efficiency. We find convincing evidence that institutional characteristics and outreach have both positive and negative effects on the productivity of MFIs, depending of the proxy used in the analysis. However,the efficiency of MFIs affects the productivity negatively. Specifically, we find that the age of the institution positively influences the productivity by 6.1581 points, while number of offices and number of personnel negatively affect it by 26.41% and 8.77%, respectively. Of the outreach variables, numbers of active borrowers positively influence productivity by 0.04%, whereas, average loan size appears to have an inverse relationship with productivity. We further find that cost per loan – a proxy for efficiency, has a negative and statistically significant impact of 1.9604 points on the productivity of MFIs. Overall, our investigation suggests that there is a need to build client confidence, pursue innovative credit delivery techniques in reaching out to the poor and achieving high levels of productivity.
Item Type: | MPRA Paper |
---|---|
Original Title: | Exploring the determinants of the productivity of microfinance institutions in India |
English Title: | Exploring the determinants of the productivity of microfinance institutions in India |
Language: | English |
Keywords: | productivity, microfinance institutions, efficient, outreach,and Empirical Bayesian Estimation Technique |
Subjects: | G - Financial Economics > G2 - Financial Institutions and Services G - Financial Economics > G2 - Financial Institutions and Services > G21 - Banks ; Depository Institutions ; Micro Finance Institutions ; Mortgages |
Item ID: | 45715 |
Depositing User: | Dr Abdul Rashid |
Date Deposited: | 02 Apr 2013 12:33 |
Last Modified: | 27 Sep 2019 04:47 |
References: | Adongo, J, and Stork, C., 2005, Factors influencing the financial sustainability of selected microfinance institutions in Namibia, NEPRU Research Paper. Andries, A.M., 2011, The determinants of bank efficiency and productivity growth in the central and eastern European banking systems, Eastern European Economics 49, 38-59. Bassem, B.S., 2008, Efficiency of microfinance institutions in the mediterranean: An application of DEA, Transition Studies Review 15, 343-354. Berger, A.N., and Humphrey, D. B., 1997, Efficiency of financial institutions: International survey and directions for future research, European Journal of Operational Research 98, 175-212. Berger, J.O., 1985. Statistical decision theory and bayesian analysis (Springer). Conning, Jonathan, 1999, Outreach, sustainability and leverage in monitored and peer monitored lending, Journal of Development Economics 60, 51-77. Gebremichael, B.Z., and Rani, D.L., 2012, Total factor productivity change of Ethiopian microfinance institutions (mfis): A Malmquist productivity index approach (mpi), European Journal of Business and Management 4, 105-114. Hermes, N., Lensink, R., and Meesters, A. (2011). outreach and Effiecncy of Microfinnace Institutions, World Development 39, 938-948. Hsiao, C., Pesaran, M.H., and Tahmiscioglu, A.K., 1999. Bayes estimation of short-run coefficients in dynamic panel data models (Cambridge University Press). Hulme, D., and Mosley,P.,1996. Finance against poverty (Routledge, London). Katerina, Lyroudi and Dimitrios, Angelidis 2006, Measuring banking productivity of the most recent european union member countries: A non-parametric approach, Journal of Economics and Business 9, 37-57. Kent, Matthews and Zhang, N., 2009, Bank productivity in China 1997-2007: An exercise in measurement, Cardiff Business School, Cardiff University, Wales. Koop, G, 1999, Bayesian analysis, computation and communication software, Journal of Applied Econometrics, 677–689. Ledgerwood, J 1998. Sustainable banking with the poor, micro finance handbook – an institutional and financial perspective (The World Bank, Washington DC). Rogers, M, 1998, The definition and measurement of productivity, The University of Melbourne, Australia, Melbourne Institute of Applied Economics and Social Research. Sufian, Fadzlan, 2007, Size and total factor productivity change in malaysian non-commercial banking financial institutions: A non-parametric malmquist productivity index analysis, International Journal of Business and Society8, 39-56. Twaha, K, March 2011, An assessment of the financial sustainability of micro finance institutions in East Africa, International Institute of Islamic Economics, School of Economic, International Islamic Economics, Pakistan. |
URI: | https://mpra.ub.uni-muenchen.de/id/eprint/45715 |