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A Study of Efficiency of Microfinance Institutions in India: A DEA Approach


Affiliations
1 Department of Commerce, Assam University, Silchar, India
     

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Microfinance institutions (MFIs) are considered to be the most important mechanism for achieving financial inclusion in developing countries like India where a large population is still deprived of formal financial services. Owing to the growing importance of MFIs, it is equally important to study the efficiency of these institutions which this paper attempts to do by selecting 21 Indian MFIs with the legal status of a non-bank financial institution (NBFI) and Non-governmental organisation (NGO), and by using Data Envelopment Analysis. The study used BCC Model and Undesirable Measure Model for gauging the efficiency of the MFIs. The Spearman’s Rank Correlation was estimated to check the correlation between the scores computed by using both the models. The study further attempts to compare the efficiency between NBFI- MFIs and NGO-MFIs. Results show that the average technical efficiency (TE) score under the BCC model was 0.771 and under Undesirable Measure Model was 0.997. The findings suggest that the relatively inefficient MFIs need to minimise the Portfolio at Risk (PaR)>30 to the extent of 50% in order to become efficient. Further it indicates that there exists positive correlation between the ranks of the MFIs under BCC and Undesirable Measure Model. The results also show that efficiency of the NGO-MFIs is at par with that of the NBFI- MFIs.

Keywords

MFIs, Data Envelopment Analysis, BCC Model, Undesirable Measure Model.
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  • Banker, R D, A Charnes and W W Cooper (1984): Some Models for Estimating Technical and Scale Inefficiencies in Data Envelopment Analysis, Management Science, Vol. 30, No. 9, 1078-1092.

  • Berger, A N and D B Humphrey (1997): Efficiency of Financial Institutions: International Survey and Directions for Future Research, Working Paper Series, The Wharton Financial Institutions Center, The Wharton School, University of Pennsylvania.

  • Berger, A N and D B Humphrey (1992): Measurement and Efficiency Issues in Commercial Banking, Chapter in Output Measurement in the Service Sectors, National Bureau of Economic Research, Cambridge, pp.245-300.

  • Canhoto, A and J Dermine (2003): “A Note on Banking Efficiency in Portugal, New vs. Old Banks”, Journal of Banking and Finance, Vol. 27, pp.2087-2098.

  • Charnes, A, W W Cooper and E Rhodes (1978): “Measuring the Efficiency of Decision Making Units”, European Journal of Operational Research, Vol. 2, No. 6, pp.429-444.

  • Gutiérrez-Nieto, B, C Serrano-Cinca and C Mar Molinero (2007): “Microfinance Institutions and Efficiency”, Omega, Vol 35, No. 2, pp. 131-142.

  • Haq, M, M Skully and S Pathan (2010): “Efficiency of Microfinance Institutions: A Data Envelopment Analysis”, Asia-Pacific Financial Markets, Vol. 17, No. 1, pp.63-97.

  • Hermes, N, R Lensink and A Meesters (2009): Financial Development and the Efficiency of Microfinance Institutions, Working Paper, available at SSRN: https://ssrn.com/ abstract=1396202 or http://dx.doi.org/10.2139/ssrn.1396202

  • Kar, S and J Deb (2017): “Efficiency Determinants of Microfinance Institutions in India: Two Stage DEA Analysis”, Central European Review of Economics and Management, Vol. 1, No. 8, pp.87-115.

  • Kipesha, E F (2012): “Efficiency of Microfinance Institutions in East Africa: A Data Envelopment Analysis”, European Journal of Business and Management, Vol. 4, No. 17, pp.77–88.

  • Mester, L J (1997): Measuring Efficiency of US Banks: Accounting for Heterogeneity is Important, European Journal of Operational Research, Vol. 98, No. 2, pp.230-242

  • Nath, P, M Pal and A Mukherjee (2005): “Efficiency Benchmarking of Indian Commercial Banks in the Deregulated Financial Environment” in Ranjan Ghosh and Chiranjib Neogi (ed) Theory and Application of Productivity and Efficiency – Econometric and DEA Approach, Macmillan, Delhi.

  • Pasupathy, K S (2002): Modelling Undesirable Outputs in Data Envelopment Analysis: Various Approaches, Thesis submitted to the Faculty of the Virginia Polytechnic Institute and State University, Blacksburg.

  • Quayes, S (2012): “Depth of Outreach and Financial Sustainability of Microfinance Institutions”, Applied Economics, Vol. 44, No. 26, pp.3421-3433.

  • Singh, S, S K Goyal, and S K Sharma (2013): “Technical Efficiency and Its Determinants in Microfinance Institutions in India: A Firm Level Analysis”, Journal of Innovation Economics, Vol. 1, No. 11, pp. 15-31.

  • Soteriou, A C and S A Zenios (1997): Efficiency, Profitability and Quality in the Provision of Financial Services, Working Paper, Department of Public and Business Administration, University of Cyprus, Nicosia.

  • Sufian, F (2008): “The Efficiency of Non-Bank Financial Intermediaries: Empirical Evidence from Malaysia”, The International Journal of Banking and Finance, Vol. 5. No. 2, pp.149-167.

  • Tahir, I M and S N C Tahrim (2013): “Efficiency Analysis of Microfinance Institutions in ASEAN: A DEA Approach”, Business Management Dynamics Vol. 3, No. 4, pp. 13-23.

  • Thanassoulis, E, A Boussofiane and R G Dyson (1996): A Comparison of Data Envelopment Analysis and Ratio Analysis as Tool for Performance Assessment, Omega, Vol. 24, No. 3, pp.229-244.

  • Widiarto, I and A Emrouznejad (2015): Social and Financial Efficiency of Islamic Microfinance Institutions: A Data Envelopment Analysis Application, Socio-Economic Planning Sciences, Vol. 50, pp.1-17.

  • Worthington, A C (1998): “The Determinants of Non-Bank Financial Institution Efficiency: A Stochastic Cost Frontier Approach”, Applied Financial Economics, Vol. 8, No. 3, pp.279-289.


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  • A Study of Efficiency of Microfinance Institutions in India: A DEA Approach

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Authors

Santa Kar
Department of Commerce, Assam University, Silchar, India
Joyeeta Deb
Department of Commerce, Assam University, Silchar, India

Abstract


Microfinance institutions (MFIs) are considered to be the most important mechanism for achieving financial inclusion in developing countries like India where a large population is still deprived of formal financial services. Owing to the growing importance of MFIs, it is equally important to study the efficiency of these institutions which this paper attempts to do by selecting 21 Indian MFIs with the legal status of a non-bank financial institution (NBFI) and Non-governmental organisation (NGO), and by using Data Envelopment Analysis. The study used BCC Model and Undesirable Measure Model for gauging the efficiency of the MFIs. The Spearman’s Rank Correlation was estimated to check the correlation between the scores computed by using both the models. The study further attempts to compare the efficiency between NBFI- MFIs and NGO-MFIs. Results show that the average technical efficiency (TE) score under the BCC model was 0.771 and under Undesirable Measure Model was 0.997. The findings suggest that the relatively inefficient MFIs need to minimise the Portfolio at Risk (PaR)>30 to the extent of 50% in order to become efficient. Further it indicates that there exists positive correlation between the ranks of the MFIs under BCC and Undesirable Measure Model. The results also show that efficiency of the NGO-MFIs is at par with that of the NBFI- MFIs.

Keywords


MFIs, Data Envelopment Analysis, BCC Model, Undesirable Measure Model.

References