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Productivity Growth and Efficiency in Indian Banking: A Comparison of Public, Private, and Foreign Banks

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  • T. T. Ram Mohan

    (Indian Institute of Management, Ahmedabad)

  • Subhash Ray

    (University of Connecticut)

Abstract

India's public sector banks (PSBs) are compared unfavorably with their private sector counterparts, domestic and foreign. This comparison rests, for the most part, on financial measures of performance, and such a comparison provides much of the rationale for privatization of PSBs.In this paper, we attempt a comparison between PSBs and their private sector counterparts based on measures of productivity that use quantities of outputs and inputs. We employ two measures of productivity: Tornqvist and Malmquist total factor productivity growth. We attempt these comparisons over the period 1992-2000, comparing PSBs with both domestic private and foreign banks. Out of a total of four comparisons we have made, there are no differences in three cases, PSBs do better in two, and foreign banks in one. To put it differently, PSBs are seen to be at a disadvantage in only one out of six comparisons. It is difficult, therefore, to sustain the proposition that efficiency and productivity have been lower in public sector banks relative to their peers in the private sector.

Suggested Citation

  • T. T. Ram Mohan & Subhash Ray, 2004. "Productivity Growth and Efficiency in Indian Banking: A Comparison of Public, Private, and Foreign Banks," Working papers 2004-27, University of Connecticut, Department of Economics.
    • Handle: RePEc:uct:uconnp:2004-27
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    References listed on IDEAS

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    2. Mukherjee, Kankana & Ray, Subhash C. & Miller, Stephen M., 2001. "Productivity growth in large US commercial banks: The initial post-deregulation experience," Journal of Banking & Finance, Elsevier, vol. 25(5), pages 913-939, May.
    3. Fare, Rolf & Shawna Grosskopf & Mary Norris & Zhongyang Zhang, 1994. "Productivity Growth, Technical Progress, and Efficiency Change in Industrialized Countries," American Economic Review, American Economic Association, vol. 84(1), pages 66-83, March.
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    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.
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    Cited by:

    1. Padmasai Arora, 2014. "Reforms, Ownership and Determinants of Efficiency: An Empirical Study of Commercial Banks in India," Journal of Emerging Market Finance, Institute for Financial Management and Research, vol. 13(1), pages 103-138, April.
    2. Deepak Tandon & Kamini Tandon & Nidhi Malhotra, 2014. "An Evaluation of the Technical, Pure Technical and Scale Efficiencies in the Indian Banking Industry using Data Envelope Analysis," Global Business Review, International Management Institute, vol. 15(3), pages 545-563, September.
    3. Gaurango Banerjee & Abhiman Das & Kalidas Jana & Shekar Shetty, 2017. "Effects of derivatives usage and financial statement items on capital market risk measures of Bank stocks: evidence from India," Journal of Economics and Finance, Springer;Academy of Economics and Finance, vol. 41(3), pages 487-504, July.
    4. Jaffry, Shabbar & Ghulam, Yaseen & Cox, Joe, 2013. "Trends in efficiency in response to regulatory reforms: The case of Indian and Pakistani commercial banks," European Journal of Operational Research, Elsevier, vol. 226(1), pages 122-131.
    5. Satyaban Sahoo & Sanjay Kumar, 2021. "Existence of Cointegration between the Public and Private Bank Index: Evidence from Indian Capital Market," Advances in Decision Sciences, Asia University, Taiwan, vol. 25(4), pages 152-172, December.
    6. Hazera Akter & Suborna Barua, 2016. "International trade financing: a comparative study on the performance of state-owned and private commercial banks of Bangladesh," International Journal of Monetary Economics and Finance, Inderscience Enterprises Ltd, vol. 9(2), pages 164-186.
    7. Vincent Charles & Ioannis E. Tsolas & Tatiana Gherman, 2018. "Satisficing data envelopment analysis: a Bayesian approach for peer mining in the banking sector," Annals of Operations Research, Springer, vol. 269(1), pages 81-102, October.

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