IDEAS home Printed from https://ideas.repec.org/a/prs/reveco/reco_0035-2764_2000_num_51_6_410589.html
   My bibliography  Save this article

Les banques françaises de réseaux n'ont pas de problèmes majeurs d'inefficacité productive. Une application de la technique d'enveloppement des données (DEA)

Author

Listed:
  • Thierry Chauveau
  • Jézabel Couppey

Abstract

[eng] French banks are technically efficient: an application of DEA. . In this paper, we first address the issue of the nature of inputs and outputs when banking activity is considered. We suggest to use a decision rule using the sign of the derivatives of the profit with respect to its arguments. We, then, turn to an empirical analysis of 38 French banks during years 1994-97. Using Data Envelopment Analysis together with our new classification leads to the following results: (i) our estimates of technical efficiency appear to be far above and, consequently, more realistic than former scores and (ii) inefficiency is not a good explanation for the low profitability of French banks. [fre] Notre premier propos, théorique, est d'élaborer une règle de classification en intrants et en extrants des différents arguments de la fonction de profit bancaire. Nous l'utilisons ensuite dans notre étude empirique de 38 banques françaises de réseau. La technique retenue est celle de l'enveloppement des données (DEA). La période étudiée (1994-1997) correspond à celle d'une grande faiblesse de la rentabilité des banques françaises. Les résultats que nous obtenons, plus réalistes que ceux d'études antérieures comparables, nous conduisent à conclure que les banques françaises de notre échantillon n'ont pas de problèmes majeurs d'inefficacité productive et que l'explication de leur sous-rentabilité se situe donc ailleurs.

Suggested Citation

  • Thierry Chauveau & Jézabel Couppey, 2000. "Les banques françaises de réseaux n'ont pas de problèmes majeurs d'inefficacité productive. Une application de la technique d'enveloppement des données (DEA)," Revue Économique, Programme National Persée, vol. 51(6), pages 1355-1380.
  • Handle: RePEc:prs:reveco:reco_0035-2764_2000_num_51_6_410589
    Note: DOI:10.3406/reco.2000.410589
    as

    Download full text from publisher

    File URL: https://doi.org/10.3406/reco.2000.410589
    Download Restriction: Data and metadata provided by Persée are licensed under a Creative Commons "Attribution-Noncommercial-Share Alike 3.0" License http://creativecommons.org/licenses/by-nc-sa/3.0/

    File URL: https://www.persee.fr/doc/reco_0035-2764_2000_num_51_6_410589
    Download Restriction: Data and metadata provided by Persée are licensed under a Creative Commons "Attribution-Noncommercial-Share Alike 3.0" License http://creativecommons.org/licenses/by-nc-sa/3.0/

    As the access to this document is restricted, you may want to look for a different version below or search for a different version of it.

    Other versions of this item:

    Citations

    Citations are extracted by the CitEc Project, subscribe to its RSS feed for this item.
    as


    Cited by:

    1. Michel Boutillier & Jimmy Gaudin & Stéphanie Grandperrin, 2005. "La situation concurrentielle des principaux secteurs bancaires européens entre 1993 et 2000 : quels enseignements pour la future structure des marchés financiers issue de l'UEM ?," Revue d'Économie Financière, Programme National Persée, vol. 81(4), pages 15-42.
    2. Jimborean, Ramona & Brack, Estelle, 2010. "The cost-efficiency of French banks," MPRA Paper 23471, University Library of Munich, Germany.
    3. Laurent Weill, 2004. "Measuring Cost Efficiency in European Banking: A Comparison of Frontier Techniques," Journal of Productivity Analysis, Springer, vol. 21(2), pages 133-152, March.

    More about this item

    JEL classification:

    • C60 - Mathematical and Quantitative Methods - - Mathematical Methods; Programming Models; Mathematical and Simulation Modeling - - - General
    • D20 - Microeconomics - - Production and Organizations - - - General
    • G20 - Financial Economics - - Financial Institutions and Services - - - General

    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:prs:reveco:reco_0035-2764_2000_num_51_6_410589. See general information about how to correct material in RePEc.

    For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: (Equipe PERSEE). General contact details of provider: https://www.persee.fr/collection/reco .

    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.

    We have no references for this item. You can help adding them by using 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.

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

    IDEAS is a RePEc service hosted by the Research Division of the Federal Reserve Bank of St. Louis . RePEc uses bibliographic data supplied by the respective publishers.