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Consolidation in Indian banking: Does size matter?

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  • Asish Saha

    () (Universiti Utara Malaysia (UUM))

  • Umakant Dash

    () (Indian Institute of Technology Madras)

Abstract

Abstract ‘Consolidation in Indian banking’ has been on and off in the realm of deliberations of the policy planners of the country. SBI, the largest commercial bank in the country was ranked 64th in the list of Top 1000 Banks in the world by Banker in 2014 and it moved up to the position of 54th rank in 2015. Present paper aims to search for possible justification for consolidation in the Indian banking space by evaluating the efficiency performances of banks including its drivers. Using DEA technique, the efficiency performances of 54 commercial banks in India during the period 2001–2012 were evaluated. Tobit regression analysis using bootstrap corrected efficiency scores was adopted to decipher drivers of efficiency. Findings clearly indicate that “size” does matter significantly in determining the efficiency profile of banks in India.

Suggested Citation

  • Asish Saha & Umakant Dash, 2016. "Consolidation in Indian banking: Does size matter?," DECISION: Official Journal of the Indian Institute of Management Calcutta, Springer;Indian Institute of Management Calcutta, vol. 43(3), pages 223-238, September.
  • Handle: RePEc:spr:decisn:v:43:y:2016:i:3:d:10.1007_s40622-016-0133-5
    DOI: 10.1007/s40622-016-0133-5
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    References listed on IDEAS

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    1. Pulley, Lawrence B & Humphrey, David B, 1993. "The Role of Fixed Costs and Cost Complementarities in Determining Scope Economies and the Cost of Narrow Banking Proposals," The Journal of Business, University of Chicago Press, vol. 66(3), pages 437-462, July.
    2. Maudos, Joaquin & Pastor, Jose M. & Perez, Francisco & Quesada, Javier, 2002. "Cost and profit efficiency in European banks," Journal of International Financial Markets, Institutions and Money, Elsevier, vol. 12(1), pages 33-58, February.
    3. Leopold Simar & Paul Wilson, 2000. "A general methodology for bootstrapping in non-parametric frontier models," Journal of Applied Statistics, Taylor & Francis Journals, vol. 27(6), pages 779-802.
    4. Rhoades, Stephen A., 1993. "Efficiency effects of horizontal (in-market) bank mergers," Journal of Banking & Finance, Elsevier, vol. 17(2-3), pages 411-422, April.
    5. Esmeralda Ramalho & Joaquim Ramalho & Pedro Henriques, 2010. "Fractional regression models for second stage DEA efficiency analyses," Journal of Productivity Analysis, Springer, vol. 34(3), pages 239-255, December.
    6. Léopold Simar & Paul W. Wilson, 1998. "Sensitivity Analysis of Efficiency Scores: How to Bootstrap in Nonparametric Frontier Models," Management Science, INFORMS, vol. 44(1), pages 49-61, January.
    7. Paradi, Joseph C. & Zhu, Haiyan, 2013. "A survey on bank branch efficiency and performance research with data envelopment analysis," Omega, Elsevier, vol. 41(1), pages 61-79.
    8. Berger, Allen N. & Mester, Loretta J., 1997. "Inside the black box: What explains differences in the efficiencies of financial institutions?," Journal of Banking & Finance, Elsevier, vol. 21(7), pages 895-947, July.
    9. Feng, Guohua & Serletis, Apostolos, 2010. "Efficiency, technical change, and returns to scale in large US banks: Panel data evidence from an output distance function satisfying theoretical regularity," Journal of Banking & Finance, Elsevier, vol. 34(1), pages 127-138, January.
    10. Maghyereh, Aktham I. & Awartani, Basel, 2012. "Financial integration of GCC banking markets: A non-parametric bootstrap DEA estimation approach," Research in International Business and Finance, Elsevier, vol. 26(2), pages 181-195.
    11. Berger, Allen N. & Humphrey, David B., 1997. "Efficiency of financial institutions: International survey and directions for future research," European Journal of Operational Research, Elsevier, vol. 98(2), pages 175-212, April.
    12. Berger, Allen N. & Hanweck, Gerald A. & Humphrey, David B., 1987. "Competitive viability in banking : Scale, scope, and product mix economies," Journal of Monetary Economics, Elsevier, vol. 20(3), pages 501-520, December.
    13. Subhash Ray, 2007. "Are some Indian banks too large? An examination of size efficiency in Indian banking," Journal of Productivity Analysis, Springer, vol. 27(1), pages 41-56, February.
    14. Sunil Kumar & Rachita Gulati, 2009. "Technical efficiency and its determinants in the Indian domestic banking industry: an application of DEA and Tobit analysis," American Journal of Finance and Accounting, Inderscience Enterprises Ltd, vol. 1(3), pages 256-296.
    15. Ghosh, Saibal, 2009. "Financial Deregulation and Profit Efficiency: A Non-parametric Analysis of Indian Banks," MPRA Paper 24292, University Library of Munich, Germany.
    16. Peristiani, Stavros, 1997. "Do Mergers Improve the X-Efficiency and Scale Efficiency of U.S. Banks? Evidence from the 1980s," Journal of Money, Credit and Banking, Blackwell Publishing, vol. 29(3), pages 326-337, August.
    17. Tianshu Zhao & Barbara Casu & Alessandra Ferrari, 2006. "Deregulation and productivity growth: a study of Indian commercial banking," Economic Analysis Research Group Working Papers earg-wp2006-07, Henley Business School, Reading University.
    18. McDonald, John, 2009. "Using least squares and tobit in second stage DEA efficiency analyses," European Journal of Operational Research, Elsevier, vol. 197(2), pages 792-798, September.
    19. Kim, H Youn, 1986. "Economies of Scale and Economies of Scope in Multiproduct Financial Institutions: Further Evidence from Credit Unions: A Note," Journal of Money, Credit and Banking, Blackwell Publishing, vol. 18(2), pages 220-226, May.
    20. McAllister, Patrick H. & McManus, Douglas, 1993. "Resolving the scale efficiency puzzle in banking," Journal of Banking & Finance, Elsevier, vol. 17(2-3), pages 389-405, April.
    21. Léopold Simar & Paul Wilson, 2011. "Two-stage DEA: caveat emptor," Journal of Productivity Analysis, Springer, vol. 36(2), pages 205-218, October.
    22. Don U.A. Galagedera & Piyadasa Edirisuriya, 2004. "Performance of Indian commercial banks (1995-2002): an application of data envelopment analysis and Malmquist productivity index," Finance 0408006, University Library of Munich, Germany.
    23. Abhiman Das & Subal C. Kumbhakar, 2012. "Productivity and efficiency dynamics in Indian banking: An input distance function approach incorporating quality of inputs and outputs," Journal of Applied Econometrics, John Wiley & Sons, Ltd., vol. 27(2), pages 205-234, March.
    24. 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.
    25. Hoff, Ayoe, 2007. "Second stage DEA: Comparison of approaches for modelling the DEA score," European Journal of Operational Research, Elsevier, vol. 181(1), pages 425-435, August.
    26. Buono, Mark J. & Eakin, B. Kelly, 1990. "Branching restrictions and banking costs," Journal of Banking & Finance, Elsevier, vol. 14(6), pages 1151-1162, December.
    27. Rasoul Rezvanian & Narendar Rao & Seyed Mehdian, 2008. "Efficiency change, technological progress and productivity growth of private, public and foreign banks in India: evidence from the post-liberalization era," Applied Financial Economics, Taylor & Francis Journals, vol. 18(9), pages 701-713.
    28. Fujii, Hidemichi & Managi, Shunsuke & Matousek, Roman, 2014. "Indian bank efficiency and productivity changes with undesirable outputs: A disaggregated approach," Journal of Banking & Finance, Elsevier, vol. 38(C), pages 41-50.
    29. Simar, Leopold & Wilson, Paul W., 1999. "Estimating and bootstrapping Malmquist indices," European Journal of Operational Research, Elsevier, vol. 115(3), pages 459-471, June.
    30. Berger, Allen N. & Hunter, William C. & Timme, Stephen G., 1993. "The efficiency of financial institutions: A review and preview of research past, present and future," Journal of Banking & Finance, Elsevier, vol. 17(2-3), pages 221-249, April.
    31. Simar, Leopold & Wilson, Paul W., 2007. "Estimation and inference in two-stage, semi-parametric models of production processes," Journal of Econometrics, Elsevier, vol. 136(1), pages 31-64, January.
    32. Gilligan, Thomas & Smirlock, Michael & Marshall, William, 1984. "Scale and scope economies in the multi-product banking firm," Journal of Monetary Economics, Elsevier, vol. 13(3), pages 393-405, May.
    33. Fethi, Meryem Duygun & Pasiouras, Fotios, 2010. "Assessing bank efficiency and performance with operational research and artificial intelligence techniques: A survey," European Journal of Operational Research, Elsevier, vol. 204(2), pages 189-198, July.
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    More about this item

    Keywords

    Data envelopment analysis; Banking; Size; Efficiency; Productivity;

    JEL classification:

    • G21 - Financial Economics - - Financial Institutions and Services - - - Banks; Other Depository Institutions; Micro Finance Institutions; Mortgages
    • G34 - Financial Economics - - Corporate Finance and Governance - - - Mergers; Acquisitions; Restructuring; Corporate Governance
    • D24 - Microeconomics - - Production and Organizations - - - Production; Cost; Capital; Capital, Total Factor, and Multifactor Productivity; Capacity

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