Labor-Use Efficiency in Indian Banking: A Branch Level Analysis
AbstractThis 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 InfoPaper provided by University of Connecticut, Department of Economics in its series Working papers with number 2005-04.
Length: 26 pages
Date of creation: Mar 2005
Date of revision:
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Bank; Efficiency; Branch; Cost;
Other versions of this item:
- Das, Abhiman & Ray, Subhash C. & Nag, Ashok, 2009. "Labor-use efficiency in Indian banking: A branch-level analysis," Omega, Elsevier, vol. 37(2), pages 411-425, April.
- 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; Longitudinal Data; Spatial Time Series
This paper has been announced in the following NEP Reports:
- NEP-ALL-2005-04-03 (All new papers)
- NEP-CWA-2005-04-03 (Central & Western Asia)
- NEP-EFF-2005-04-03 (Efficiency & Productivity)
- NEP-FMK-2005-04-03 (Financial Markets)
Please report citation or reference errors to , or , if you are the registered author of the cited work, log in to your RePEc Author Service profile, click on "citations" and make appropriate adjustments.:
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