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Labor-Use Efficiency in Indian Banking: A Branch Level Analysis

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  • Abhiman Das

    (Reserve Bank of India)

  • Subhash C. Ray

    (University of Connecticut)

  • Ashok Nag

    (Reserve Bank of India)

Abstract

This paper uses Data Envelopment Analysis to measure labor use efficiency of individual branches of a large public sector bank with several thousand branches across India. We find considerable variation in the average levels of efficiency across the four metropolitan regions considered in this study. In this context, we introduce the concept of area or spatial efficiency for each region relative to the nation as a whole. Our findings suggest that the policies, procedures, and incentives handed down from the corporate level cannot fully neutralize the influence of the local work culture in the different regions. Most of the potential reduction in labor cost appears to be coming from possible downsizing the clerical and subordinate staff. Our analysis identifies branches that operate at very low levels of efficiency and may be gainfully merged with other branches wherever possible.

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Bibliographic Info

Paper provided by University of Connecticut, Department of Economics in its series Working papers with number 2005-04.

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Length: 26 pages
Date of creation: Mar 2005
Date of revision:
Handle: RePEc:uct:uconnp:2005-04

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Keywords: Bank; Efficiency; Branch; Cost;

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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. Banerjee, Abhijit, 2002. "Strategy for Economic Reform in West Bengal," Working Papers 02-13, Cornell University, Center for Analytic Economics.
  3. Athanassopoulos, Antreas D., 1997. "Service quality and operating efficiency synergies for management control in the provision of financial services: Evidence from Greek bank branches," European Journal of Operational Research, Elsevier, vol. 98(2), pages 300-313, April.
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Cited by:
  1. Asmild, Mette & Bogetoft, Peter & Leth Hougaard, Jens, 2013. "Rationalising inefficiency: Staff utilisation in branches of a large Canadian bank," Omega, Elsevier, vol. 41(1), pages 80-87.
  2. Udhayakumar, A. & Charles, V. & Kumar, Mukesh, 2011. "Stochastic simulation based genetic algorithm for chance constrained data envelopment analysis problems," Omega, Elsevier, vol. 39(4), pages 387-397, August.
  3. Paradi, Joseph C. & Rouatt, Stephen & Zhu, Haiyan, 2011. "Two-stage evaluation of bank branch efficiency using data envelopment analysis," Omega, Elsevier, vol. 39(1), pages 99-109, January.
  4. Franco Fiordelisi & Phil Molyneux, 2010. "Total Factor Productivity and Shareholder Returns in Banking," Working Papers 10005, Bangor Business School, Prifysgol Bangor University (Cymru / Wales).
  5. Anup Kumar Bhandari, 2010. "Total Factor Productivity Growth and Its Decomposition: An Assessment of the Indian Banking Sector in the True Liberalised Era," Working Papers id:3181, eSocialSciences.
  6. 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.

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