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Are Some Indian Bank Too Large? A Examination of Size Efficiency in Indian Banking

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  • Subhash Ray

    (University of Connecticut)

Abstract

In this paper we use data from the years 1997 through 2003 to evaluate the size efficiency of Indian banks. Following Maindiratta (1990) we consider a bank to be too large if breaking it up into a number of smaller units would result in a larger output bundle than what could be produced from the same input by a single bank. When this is the case, the bank is not size efficient. Our analysis shows that many of the banks are, in deed, too large in various years. We also find that often a bank is operating in the region of diminishing returns to scale but is not a candidate for break up.

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Bibliographic Info

Paper provided by University of Connecticut, Department of Economics in its series Working papers with number 2004-28.

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Length: 31 pages
Date of creation: Sep 2004
Date of revision:
Handle: RePEc:uct:uconnp:2004-28

Note: The author thanks Abhiman Das of Reserve Bank of India for providing the data.
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Web page: http://www.econ.uconn.edu/
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  1. R. D. Banker & A. Charnes & W. W. Cooper, 1984. "Some Models for Estimating Technical and Scale Inefficiencies in Data Envelopment Analysis," Management Science, INFORMS, vol. 30(9), pages 1078-1092, September.
  2. Maindiratta, Ajay, 1990. "Largest size-efficient scale and size efficiencies of decision-making units in data envelopment analysis," Journal of Econometrics, Elsevier, vol. 46(1-2), pages 57-72.
  3. Charnes, A. & Cooper, W. W. & Rhodes, E., 1978. "Measuring the efficiency of decision making units," European Journal of Operational Research, Elsevier, vol. 2(6), pages 429-444, November.
  4. Bhattacharyya, Arunava & Lovell, C. A. K. & Sahay, Pankaj, 1997. "The impact of liberalization on the productive efficiency of Indian commercial banks," European Journal of Operational Research, Elsevier, vol. 98(2), pages 332-345, April.
  5. Varian, Hal R, 1984. "The Nonparametric Approach to Production Analysis," Econometrica, Econometric Society, vol. 52(3), pages 579-97, May.
  6. Sarkar, Jayati & Sarkar, Subrata & Bhaumik, Sumon K., 1998. "Does Ownership Always Matter?--Evidence from the Indian Banking Industry," Journal of Comparative Economics, Elsevier, vol. 26(2), pages 262-281, June.
  7. Banker, Rajiv D., 1984. "Estimating most productive scale size using data envelopment analysis," European Journal of Operational Research, Elsevier, vol. 17(1), pages 35-44, July.
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Cited by:
  1. Darold Barnum & John Gleason, 2011. "Measuring efficiency under fixed proportion technologies," Journal of Productivity Analysis, Springer, vol. 35(3), pages 243-262, June.
  2. Peyrache, Antonio, 2013. "Industry structural inefficiency and potential gains from mergers and break-ups: A comprehensive approach," European Journal of Operational Research, Elsevier, vol. 230(2), pages 422-430.
  3. Avkiran, Necmi K., 2011. "Association of DEA super-efficiency estimates with financial ratios: Investigating the case for Chinese banks," Omega, Elsevier, vol. 39(3), pages 323-334, June.
  4. Antonio Peyrache, 2014. "Cost Constrained Industry Ine," CEPA Working Papers Series WP042014, School of Economics, University of Queensland, Australia.
  5. Sunil Kumar, 2013. "Banking reforms and the evolution of cost efficiency in Indian public sector banks," Economic Change and Restructuring, Springer, vol. 46(2), pages 143-182, May.
  6. Horta, I.M. & Camanho, A.S. & Moreira da Costa, J., 2012. "Performance assessment of construction companies: A study of factors promoting financial soundness and innovation in the industry," International Journal of Production Economics, Elsevier, vol. 137(1), pages 84-93.
  7. Lakshmi Balasubramanyan & Spiro Stefanou & Jeffrey Stokes, 2012. "An entropy approach to size and variance heterogeneity in U.S. commercial banks," Journal of Economics and Finance, Springer, vol. 36(3), pages 728-749, July.

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