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Efficacité et productivité des banques de la zone UEMOA dans un contexte de réformes financières. Une application de la méthode DEA (Banks efficiency and productivity in the WAEMU in a context of financial reforms : an application of the DEA method)

Author

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  • Hodonou DANNON

    (labrii, ULCO)

Abstract

L’objectif de cette étude est d’une part de mesurer les effets des réformes financières sur l’efficacité et la productivité des banques de la zone UEMOA sur la période de 1996 à 2006 et, d’autre part, de faire ressortir les principaux déterminants managériaux de l’efficacité de ces banques. L’estimation des scores de productivité et d’efficacité est effectuée au moyen de l’analyse de l’enveloppement des données (DEA). Les résultats montrent premièrement que les inefficiences techniques pures dominent les inefficiences d’échelle au niveau de tous les pays la zone excepté le Sénégal. Ainsi, l’inefficience relève plus d’une sous-utilisation des inputs que de rendements d’échelle inappropriés. Deuxièmement, la productivité globale des facteurs a connu une amélioration due essentiellement à la variation positive des progrès technologiques au détriment de l’efficacité technique sur toute la période de l’étude. Ceci laisse penser que les réformes financières n’ont pas permis aux banques de la zone d’améliorer leur efficacité technique. L’évolution de leur productivité est avant tout expliquée par les progrès technologiques existants dans le secteur bancaire de l’espace UEMOA. Troisièmement, les banques de petite taille de la zone UEMOA font plus d’efforts pour réduire la consommation des inputs que celles de grande taille. Par ailleurs, l’efficience d’échelle augmente pour ensuite descendre plus bas qu’à son niveau initial. Cette observation révèle l’existence d’une taille optimale au-delà de laquelle les banques subiraient des déséconomies d’échelle. Quatrièmement, les banques domestiques privées ont un léger avantage en termes d’efficience technique globale et d’efficacité d’échelle sur les banques étrangères tandis que les banques d’Etat ont enregistré les plus faibles scores en termes d’efficacité et de productivité. L’analyse des déterminants des scores d’efficacité montre que l’origine de la propriété, la taille des banques et l’étendue du réseau bancaire ne constituent guère des facteurs déterminants de l’efficacité des banques, du moins pour ce qui concerne les pays de l’UEMOA. En revanche, l’efficacité est influencée par le ratio de capitalisation des banques de l’Union. Enfin, la structure du portefeuille d’actifs des banques et la part des dépôts dans le total bilan sont des variables qui se sont avérées déterminantes aussi bien de l’efficacité technique globale que de l’efficacité technique pure. The purpose of this study is firstly to measure the effects of financial reforms in banks productivity and efficiency in the WAEMU area during the 1996-2006 period, and secondly, to draw the mains managerial determinants of banks efficiency. The productivity and efficiency scores are estimated through the Data Envelopment Analysis (DEA). Our empirical results show firstly that pure technical inefficiencies are higher than scale inefficiencies in all the countries of the area except for Senegal. Thus, the inefficiency stems rather from an under-use of inputs than from an inappropriate return to scale. Secondly, we notice a growth of the global productivity factors which is essentially due to the positive variation of technological progress. Consequently, financial reforms did not permit to banks to increase their technical efficiency. Thirdly, small banks make more efforts to reduce their inputs consumption than great banks. One the other hand, scale efficiency at first increases to decrease then below its initial level. This observation means that there is an optimal size beyond which banks would undergo diseconomies of scale. Fourthly, private domestic-owned banks have a slight advantage on foreign banks in terms of global technical efficiency and scale efficiency while State-owned banks recorded the weakest efficiency and productivity scores. We furthermore conclude that the ownership’s origin, the size of banks and the breadth of the financial network are not much determinant factors of banks efficiency, at least in the WAEMU countries. However, the efficiency is influenced by the capitalization’s ratio of the banks of the Union. Finally, the structure of the banks' portfolio of assets and the proportion of their deposits in the total balance are revealed to be determinants of global as well as pure technical efficiency.

Suggested Citation

  • Hodonou DANNON, 2009. "Efficacité et productivité des banques de la zone UEMOA dans un contexte de réformes financières. Une application de la méthode DEA (Banks efficiency and productivity in the WAEMU in a context of fina," Working Papers 216, Laboratoire de Recherche sur l'Industrie et l'Innovation. ULCO / Research Unit on Industry and Innovation.
  • Handle: RePEc:rii:riidoc:216
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    References listed on IDEAS

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    1. Avkiran, Necmi K., 2006. "Developing foreign bank efficiency models for DEA grounded in finance theory," Socio-Economic Planning Sciences, Elsevier, vol. 40(4), pages 275-296, December.
    2. 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.
    3. 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.
    4. Avkiran, Necmi Kemal, 1999. "The evidence on efficiency gains: The role of mergers and the benefits to the public," Journal of Banking & Finance, Elsevier, vol. 23(7), pages 991-1013, July.
    5. 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.
    6. Parkan, Celik, 1987. "Measuring the efficiency of service operations: An application to bank branches," Engineering Costs and Production Economics, Elsevier, vol. 12(1-4), pages 237-242, July.
    7. Fried, Harold O. & Lovell, C. A. Knox & Schmidt, Shelton S. (ed.), 1993. "The Measurement of Productive Efficiency: Techniques and Applications," OUP Catalogue, Oxford University Press, number 9780195072181.
    8. Andreas Soteriou & Stavros A. Zenios, 1999. "Operations, Quality, and Profitability in the Provision of Banking Services," Management Science, INFORMS, vol. 45(9), pages 1221-1238, September.
    9. 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.
    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. Bhattacharyya, Arunava & Lovell, C. A. K. & Sahay, Pankaj, 1997. "The impact of liberalization on the productive efficiency of Indian commercial banks," European Journal of Operational Research, Elsevier, vol. 98(2), pages 332-345, April.
    12. Allen N. Berger & Robert DeYoung & Hesna Genay & Gregory F. Udell, 1999. "Globalization of financial institutions: evidence from cross-border banking performance," Working Paper Series WP-99-25, Federal Reserve Bank of Chicago.
    13. Rangan, Nanda & Grabowski, Richard & Aly, Hassan Y. & Pasurka, Carl, 1988. "The technical efficiency of US banks," Economics Letters, Elsevier, vol. 28(2), pages 169-175.
    14. Berg, Sigbjorn Atle & Forsund, Finn R. & Hjalmarsson, Lennart & Suominen, Matti, 1993. "Banking efficiency in the Nordic countries," Journal of Banking & Finance, Elsevier, vol. 17(2-3), pages 371-388, April.
    15. Abdelaziz Rouabah, 2002. "Economies d?échelle, économies de diversification et efficacité productive des banques luxembourgeoises : une analyse comparative des frontières stochastiques sur données en panel," BCL working papers 3, Central Bank of Luxembourg.
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    More about this item

    Keywords

    banks; efficiency; productivity; data envelopment analysis; financial reforms;
    All these keywords.

    JEL classification:

    • G21 - Financial Economics - - Financial Institutions and Services - - - Banks; Other Depository Institutions; Micro Finance Institutions; Mortgages
    • O23 - Economic Development, Innovation, Technological Change, and Growth - - Development Planning and Policy - - - Fiscal and Monetary Policy in Development
    • O43 - Economic Development, Innovation, Technological Change, and Growth - - Economic Growth and Aggregate Productivity - - - Institutions and Growth
    • O00 - Economic Development, Innovation, Technological Change, and Growth - - General - - - General

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