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Branch banking networks assessment using DEA:A benchmarking analysis

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  • Aude Hubrecht-Deville

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    (Université de Bourgogne)

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    Abstract

    This paper presents a benchmarking analysis of the branches and regional banks of a large French banking group. The analysis focuses on the operational performance. Starting from an “individual” diagnostic at the branch level, a “network” diagnostic is developed at the regional banks level. The variations of performance are discussed within each regional bank and from one regional bank to another by using a DEA (“Data Envelopment Analysis”) approach. This approach allows to develop a synthetic index called the technical inefficiency score. Results reveal that 30% of these branches are efficient. Special emphasis is placed on quantifying the productive gains at the regional banks level and on practicing intra- and inter regional banks benchmarking.

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    Bibliographic Info

    Paper provided by Université de Bourgogne - CREGO EA7317 Centre de recherches en gestion des organisations in its series Working Papers CREGO with number 1071103.

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    Length: 15 pages
    Date of creation: Nov 2007
    Date of revision:
    Handle: RePEc:dij:wpfarg:1071103

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    Postal: 2 Bd Gabriel, BP 26611, 21066 Dijon Cedex, France

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    Postal: Angèle Renaud, CREGO, 2 Bd Gabriel, BP 26611, 21066 Dijon Cedex, France
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    Keywords: productivity; benchmarking; aggregate measure; branches; banking network.;

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    1. 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.
    2. 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.
    3. Michel Dietsch & Ana Lozano Vivas, . "How the Environment Determines the Efficiency of Banks: A Comparison between French and Spanish Banking Industry," Center for Financial Institutions Working Papers 97-29, Wharton School Center for Financial Institutions, University of Pennsylvania.
    4. 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.
    5. Chambers, Robert G. & Chung, Yangho & Fare, Rolf, 1996. "Benefit and Distance Functions," Journal of Economic Theory, Elsevier, vol. 70(2), pages 407-419, August.
    6. Walter Briec & Benoit Dervaux & Hervé Leleu, 2003. "Aggregation of Directional Distance Functions and Industrial Efficiency," Journal of Economics, Springer, vol. 79(3), pages 237-261, 07.
    7. 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.
    8. 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.
    9. Denise McEachern & Joseph Paradi, 2007. "Intra- and inter-country bank branch assessment using DEA," Journal of Productivity Analysis, Springer, vol. 27(2), pages 123-136, April.
    10. Rolf Färe & Shawna Grosskopf, 2000. "Theory and Application of Directional Distance Functions," Journal of Productivity Analysis, Springer, vol. 13(2), pages 93-103, March.
    11. 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.
    12. A. Charnes & W. W. Cooper & E. Rhodes, 1981. "Evaluating Program and Managerial Efficiency: An Application of Data Envelopment Analysis to Program Follow Through," Management Science, INFORMS, vol. 27(6), pages 668-697, June.
    13. Athanassopoulos, Antreas D, 1998. "Nonparametric Frontier Models for Assessing the Market and Cost Efficiency of Large-Scale Bank Branch Networks," Journal of Money, Credit and Banking, Blackwell Publishing, vol. 30(2), pages 172-92, May.
    14. Rajiv D. Banker & Richard C. Morey, 1986. "The Use of Categorical Variables in Data Envelopment Analysis," Management Science, INFORMS, vol. 32(12), pages 1613-1627, December.
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