IDEAS home Printed from https://ideas.repec.org/p/dij/wpfarg/1071103.html
   My bibliography  Save this paper

Branch banking networks assessment using DEA:A benchmarking analysis

Author

Listed:
  • Aude Hubrecht-Deville

    (Université de Bourgogne)

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.

Suggested Citation

  • Aude Hubrecht-Deville, 2007. "Branch banking networks assessment using DEA:A benchmarking analysis," Working Papers CREGO 1071103, Université de Bourgogne - CREGO EA7317 Centre de recherches en gestion des organisations.
    • Handle: RePEc:dij:wpfarg:1071103
    as

    Download full text from publisher

    File URL: https://repec-crego.u-bourgogne.fr/images/stories/wp/1071103.pdf
    Download Restriction: no
    ---><---

    References listed on IDEAS

    as
    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. 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 172-192, May.
    4. 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.
    5. 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.
    6. 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.
    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. 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.
    9. Henry Tulkens, 2006. "On FDH Efficiency Analysis: Some Methodological Issues and Applications to Retail Banking, Courts and Urban Transit," Springer Books, in: Parkash Chander & Jacques Drèze & C. Knox Lovell & Jack Mintz (ed.), Public goods, environmental externalities and fiscal competition, chapter 0, pages 311-342, Springer.
    10. 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.
    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. Rolf Färe & Shawna Grosskopf, 2000. "Theory and Application of Directional Distance Functions," Journal of Productivity Analysis, Springer, vol. 13(2), pages 93-103, March.
    13. Chambers, Robert G. & Chung, Yangho & Fare, Rolf, 1996. "Benefit and Distance Functions," Journal of Economic Theory, Elsevier, vol. 70(2), pages 407-419, August.
    14. 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, July.
    15. 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.
    16. 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.
    17. Michel Dietsch & Ana Lozano Vivas, "undated". "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.
    Full references (including those not matched with items on IDEAS)

    Most related items

    These are the items that most often cite the same works as this one and are cited by the same works as this one.
    1. 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.
    2. Giokas, Dimitris I., 2008. "Assessing the efficiency in operations of a large Greek bank branch network adopting different economic behaviors," Economic Modelling, Elsevier, vol. 25(3), pages 559-574, May.
    3. G.S. Donatos & D.I. Giokas, 2008. "Relative Efficiency in the branch network of a Greek bank: A quantitative analysis," European Research Studies Journal, European Research Studies Journal, vol. 0(3), pages 53-72.
    4. Aude Hubrecht-Deville & Herve Leleu, 2008. "Impact of trade area environment on bank's comparative advantages," Applied Economics, Taylor & Francis Journals, vol. 40(17), pages 2209-2219.
    5. 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.
    6. Aude Hubrecht & Michel Dietsch & Fabienne Guerra, 2005. "Mesure de la performance des agences bancaires par une approche DEA," Revue Finance Contrôle Stratégie, revues.org, vol. 8(2), pages 131-171, June.
    7. 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.
    8. Aude Deville & Gary D. Ferrier & Hervé Leleu, 2009. "Performance measures for hierarchical organizations: Frontier analysis as a decision support tool," Working Papers 2009-ECO-01, IESEG School of Management.
    9. Aude Hubrecht-Deville & Hervé Leleu, 2007. "Performance measures of retail banking networks: a decision support tool," Working Papers CREGO 1071203, Université de Bourgogne - CREGO EA7317 Centre de recherches en gestion des organisations.
    10. Aude Hubrecht-Deville & Hervé Leleu, 2007. "Performance measures of retail banking networks: a decision support tool," Working Papers CREGO 1071105, Université de Bourgogne - CREGO EA7317 Centre de recherches en gestion des organisations.
    11. 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.
    12. Allen Berger & Robert DeYoung, 2001. "The Effects of Geographic Expansion on Bank Efficiency," Journal of Financial Services Research, Springer;Western Finance Association, vol. 19(2), pages 163-184, April.
    13. Soteriou, Andreas C. & Zenios, Stavros A., 1999. "Using data envelopment analysis for costing bank products," European Journal of Operational Research, Elsevier, vol. 114(2), pages 234-248, April.
    14. 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.
    15. Antreas D. Athanassopoulos & Andreas Soteriou & Stavros Zenios, 1997. "Disentangling Within- and Between-Country Efficiency Differences of Bank Branches," Center for Financial Institutions Working Papers 97-17, Wharton School Center for Financial Institutions, University of Pennsylvania.
    16. Mai, Nhat Chi, 2015. "Efficiency of the banking system in Vietnam under financial liberalization," OSF Preprints qsf6d, Center for Open Science.
    17. Dekker, David & Post, Thierry, 2001. "A quasi-concave DEA model with an application for bank branch performance evaluation," European Journal of Operational Research, Elsevier, vol. 132(2), pages 296-311, July.
    18. Aude Hubrecht & Fabienne Guerra, 2005. "Mesure De La Performance Globale Des Agences Bancaires : Une Application De La Méthode Dea," Post-Print halshs-00581212, HAL.
    19. Portela, Maria Conceicao A. Silva & Thanassoulis, Emmanuel, 2007. "Comparative efficiency analysis of Portuguese bank branches," European Journal of Operational Research, Elsevier, vol. 177(2), pages 1275-1288, March.
    20. Halkos, George Emm. & Tzeremes, Nickolaos G., 2011. "Modelling the effect of national culture on multinational banks' performance: A conditional robust nonparametric frontier analysis," Economic Modelling, Elsevier, vol. 28(1), pages 515-525.

    More about this item

    Keywords

    productivity; benchmarking; aggregate measure; branches; banking network.;
    All these keywords.

    JEL classification:

    • G21 - Financial Economics - - Financial Institutions and Services - - - Banks; Other Depository Institutions; Micro Finance Institutions; Mortgages
    • M19 - Business Administration and Business Economics; Marketing; Accounting; Personnel Economics - - Business Administration - - - Other

    NEP fields

    This paper has been announced in the following NEP Reports:

    Statistics

    Access and download statistics

    Corrections

    All material on this site has been provided by the respective publishers and authors. You can help correct errors and omissions. When requesting a correction, please mention this item's handle: RePEc:dij:wpfarg:1071103. See general information about how to correct material in RePEc.

    If you have authored this item and are not yet registered with RePEc, we encourage you to do it here. This allows to link your profile to this item. It also allows you to accept potential citations to this item that we are uncertain about.

    If CitEc recognized a bibliographic reference but did not link an item in RePEc to it, you can help with this form .

    If you know of missing items citing this one, you can help us creating those links by adding the relevant references in the same way as above, for each refering item. If you are a registered author of this item, you may also want to check the "citations" tab in your RePEc Author Service profile, as there may be some citations waiting for confirmation.

    For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: Angèle RENAUD (email available below). General contact details of provider: .

    Please note that corrections may take a couple of weeks to filter through the various RePEc services.

    IDEAS is a RePEc service. RePEc uses bibliographic data supplied by the respective publishers.