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The analysis of the total factors productivity growth in waemu banks: the x efficiency approach

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  • Zoma, Isaїe Armand

Abstract

In this paper, we make an analysis of productivity’s gaps in WAEMU’s banks; the intra-organizational strategy is privileged. For that purpose, we study the progression of the global factors productivity using the Data Envelopment Analysis (DEA), and then the X efficiency scores are calculated using stochastical frontier approach (SFA). The study period (2002 to 2006) corresponds to the post financial liberalization in the zone and to a changed banking and financial environment. We find that the global productivity of the factors remained relatively unchanged but that globally the X efficiency of the banks lightly decreased, remaining nevertheless at a relatively high level of the order of 80% .Big banks, of the viewpoint of their size and the private and semi-public banks, of the viewpoint of their capital structure, have the biggest mean scores of X efficiency.

Suggested Citation

  • Zoma, Isaїe Armand, 2010. "The analysis of the total factors productivity growth in waemu banks: the x efficiency approach," MPRA Paper 24470, University Library of Munich, Germany.
    • Handle: RePEc:pra:mprapa:24470
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    References listed on IDEAS

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    2. 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.
    3. Tortosa-Ausina, Emili & Grifell-Tatje, Emili & Armero, Carmen & Conesa, David, 2008. "Sensitivity analysis of efficiency and Malmquist productivity indices: An application to Spanish savings banks," European Journal of Operational Research, Elsevier, vol. 184(3), pages 1062-1084, February.
    4. Sandrine Kablan, 2009. "Mesure de la Performance des Banques dans les Pays en Développement : Le Cas de l'UEMOA (Union Economique et Monétaire Ouest Africaine)," African Development Review, African Development Bank, vol. 21(2), pages 367-399.
    5. Aigner, Dennis & Lovell, C. A. Knox & Schmidt, Peter, 1977. "Formulation and estimation of stochastic frontier production function models," Journal of Econometrics, Elsevier, vol. 6(1), pages 21-37, July.
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    Keywords

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    JEL classification:

    • D24 - Microeconomics - - Production and Organizations - - - Production; Cost; Capital; Capital, Total Factor, and Multifactor Productivity; Capacity
    • G21 - Financial Economics - - Financial Institutions and Services - - - Banks; Other Depository Institutions; Micro Finance Institutions; Mortgages

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