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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.

Suggested Citation

  • Abhiman Das & Subhash C. Ray & Ashok Nag, 2005. "Labor-Use Efficiency in Indian Banking: A Branch Level Analysis," Working papers 2005-04, University of Connecticut, Department of Economics.
  • Handle: RePEc:uct:uconnp:2005-04 Note: Views expressed in this paper are the sole responsibility of the authors and do not necessarily reflect the position of the institutions with which they are affiliated.
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    1. Drake, L & Howcroft, B, 1994. "Relative efficiency in the branch network of a UK bank: An empirical study," Omega, Elsevier, vol. 22(1), pages 83-90, January.
    2. Paradi, Joseph C. & Schaffnit, Claire, 2004. "Commercial branch performance evaluation and results communication in a Canadian bank--a DEA application," European Journal of Operational Research, Elsevier, vol. 156(3), pages 719-735, August.
    3. Berger, Allen N. & Leusner, John H. & Mingo, John J., 1997. "The efficiency of bank branches," Journal of Monetary Economics, Elsevier, vol. 40(1), pages 141-162, September.
    4. Cook, Wade D. & Seiford, Lawrence M. & Zhu, Joe, 2004. "Models for performance benchmarking: measuring the effect of e-business activities on banking performance," Omega, Elsevier, vol. 32(4), pages 313-322, August.
    5. Schaffnit, Claire & Rosen, Dan & Paradi, Joseph C., 1997. "Best practice analysis of bank branches: An application of DEA in a large Canadian bank," European Journal of Operational Research, Elsevier, vol. 98(2), pages 269-289, April.
    6. Banerjee, Abhijit, 2002. "Strategy for Economic Reform in West Bengal," Working Papers 02-13, Cornell University, Center for Analytic Economics.
    7. Ioannou, George & Mavri, Maria, 2007. "Performance-Net: A Decision Support System for Reconfiguring a Bank's Branch Network," Omega, Elsevier, vol. 35(2), pages 190-201, April.
    8. Bauer, Paul W. & Berger, Allen N. & Ferrier, Gary D. & Humphrey, David B., 1998. "Consistency Conditions for Regulatory Analysis of Financial Institutions: A Comparison of Frontier Efficiency Methods," Journal of Economics and Business, Elsevier, pages 85-114.
    9. Chitru S. Fernando & Srinivasan Krishnamurthy & Paul A. Spindt, 1999. "Is Share Price Related to Marketability? Evidence from Mutual Fund Share Splits," Financial Management, Financial Management Association.
    10. Zardkoohi, Asghar & Kolari, James, 1994. "Branch office economies of scale and scope: evidence from savings banks in Finland," Journal of Banking & Finance, Elsevier, vol. 18(3), pages 421-432, May.
    11. Neil B. Murphy & Yair E. Orgler, 1982. "Cost Analysis For Branching Systems: Methodology, Test Results, And Implications For Management," Journal of Financial Research, Southern Finance Association;Southwestern Finance Association, vol. 5(2), pages 181-188, June.
    12. 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.
    13. Wolfgang Barth & Matthias Staat, 2005. "Environmental variables and relative efficiency of bank branches: a DEA-bootstrap approach," International Journal of Business Performance Management, Inderscience Enterprises Ltd, vol. 7(3), pages 228-240.
    14. TULKENS, Henry & MALNERO, Amador, 1994. "Nonparametric Approaches to the Assessment of the Relative Efficiency of Bank Branches," CORE Discussion Papers 1994047, Université catholique de Louvain, Center for Operations Research and Econometrics (CORE).
    15. Giokas, DI, 1991. "Bank branch operating efficiency: A comparative application of DEA and the loglinear model," Omega, Elsevier, vol. 19(6), pages 549-557.
    16. Knox Lovell, C. A. & Pastor, Jesus T., 1997. "Target setting: An application to a bank branch network," European Journal of Operational Research, Elsevier, vol. 98(2), pages 290-299, April.
    17. Sherman, H. David & Gold, Franklin, 1985. "Bank branch operating efficiency : Evaluation with Data Envelopment Analysis," Journal of Banking & Finance, Elsevier, vol. 9(2), pages 297-315, June.
    18. 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.
    19. Oral, Muhittin & Yolalan, Reha, 1990. "An empirical study on measuring operating efficiency and profitability of bank branches," European Journal of Operational Research, Elsevier, vol. 46(3), pages 282-294, June.
    20. Wade Cook & Moez Hababou & Hans Tuenter, 2000. "Multicomponent Efficiency Measurement and Shared Inputs in Data Envelopment Analysis: An Application to Sales and Service Performance in Bank Branches," Journal of Productivity Analysis, Springer, vol. 14(3), pages 209-224, November.
    21. Bauer, Paul W. & Berger, Allen N. & Ferrier, Gary D. & Humphrey, David B., 1998. "Consistency Conditions for Regulatory Analysis of Financial Institutions: A Comparison of Frontier Efficiency Methods," Journal of Economics and Business, Elsevier, pages 85-114.
    22. Ann P. Bartel, 2000. "Human Resource Management and Performance in the Service Sector: The Case of Bank Branches," NBER Working Papers 7467, National Bureau of Economic Research, Inc.
    23. R. D. Banker & A. Charnes & W. W. Cooper, 1984. "Some Models for Estimating Technical and Scale Inefficiencies in Data Envelopment Analysis," Management Science, INFORMS, pages 1078-1092.
    24. 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. Ulucan, AydIn & BarIs AtIcI, KazIm, 2010. "Efficiency evaluations with context-dependent and measure-specific data envelopment approaches: An application in a World Bank supported project," Omega, Elsevier, vol. 38(1-2), pages 68-83, February.
    2. Subhash C. Ray, 2014. "Branching Efficiency in Indian Banking: An Analysis of a Demand-Constrained Network," Working papers 2014-34, University of Connecticut, Department of Economics.
    3. Fiordelisi, Franco & Molyneux, Phil, 2010. "Total factor productivity and shareholder returns in banking," Omega, Elsevier, vol. 38(5), pages 241-253, October.
    4. Liadaki, Aggeliki & Gaganis, Chrysovalantis, 2010. "Efficiency and stock performance of EU banks: Is there a relationship?," Omega, Elsevier, vol. 38(5), pages 254-259, October.
    5. Ray, Subhash, 2016. "Cost efficiency in an Indian bank branch network: A centralized resource allocation model," Omega, Elsevier, vol. 65(C), pages 69-81.
    6. 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.
    7. Christodoulakis, George A. & Olupeka, Taiwo, 2010. "Pricing and momentum of syndicated credit in Europe," Omega, Elsevier, vol. 38(5), pages 325-332, October.
    8. 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.
    9. LaPlante, A.E. & Paradi, J.C., 2015. "Evaluation of bank branch growth potential using data envelopment analysis," Omega, Elsevier, vol. 52(C), pages 33-41.
    10. 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.
    11. repec:eee:ejores:v:261:y:2017:i:3:p:1170-1188 is not listed on IDEAS
    12. repec:eee:jomega:v:70:y:2017:i:c:p:118-134 is not listed on IDEAS
    13. Subhash C. Ray & Abhiman Das & Kankana Mukherjee, 2017. "Labor-Cost Efficiency with Indivisible Outputs and Inputs: A Study of Indian Bank Branches," Working papers 2017-04, University of Connecticut, Department of Economics.
    14. 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.
    15. 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.

    More about this item

    Keywords

    Bank; Efficiency; Branch; Cost;

    JEL classification:

    • G21 - Financial Economics - - Financial Institutions and Services - - - Banks; Other Depository Institutions; Micro Finance Institutions; Mortgages
    • G28 - Financial Economics - - Financial Institutions and Services - - - Government Policy and Regulation
    • L11 - Industrial Organization - - Market Structure, Firm Strategy, and Market Performance - - - Production, Pricing, and Market Structure; Size Distribution of Firms
    • L89 - Industrial Organization - - Industry Studies: Services - - - Other
    • C33 - Mathematical and Quantitative Methods - - Multiple or Simultaneous Equation Models; Multiple Variables - - - Models with Panel Data; Spatio-temporal Models

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