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L’efficience technique des institutions de microfinance en zone UEMOA

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  • François Fall

Abstract

The aim of this article is to analyze the efficiency of microfinance institutions (MFIs) in the WAEMU area. The analysis is based on a two-stage DEA approach. In the first step, the efficiency of MFIs is estimated, by performing a VRS model (variable returns of scale) with input orientation. A total of six efficiency models are estimated, three of which relate to financial efficiency and three to social efficiency. The efficiency scores obtained in this first step are regressed in the second step on a set of environmental variables by following Simar and Wilson?s bootstrap truncated procedure [2007], which is more robust than the conventional approaches based on a tobit regression. The results of the first stage show that the MFIs in the WAEMU area are not very efficient. Inefficiency is both technical and of scale, but it is more likely to be explained by a poor technical combination of resources. It is more palpable socially than financially. The results of the post-dea estimate show that economic profitability is an essential determinant of financial and social efficiency. The MFIs that are most profitable economically are the most socially and financially efficient. The largest and oldest MFIs are also the least efficient at the social level. Similarly, MFIs with a non-commercial profile are the most efficient from the social point of view. However, the results show that environmental variables often have an impact that varies according to the type of model specified.

Suggested Citation

  • François Fall, 2018. "L’efficience technique des institutions de microfinance en zone UEMOA," Revue d'économie politique, Dalloz, vol. 128(4), pages 667-689.
  • Handle: RePEc:cai:repdal:redp_284_0667
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    Citations

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    Cited by:

    1. Fall, François Seck & Tchakoute Tchuigoua, Hubert & Vanhems, Anne & Simar, Léopold, 2022. "Investigating the unobserved heterogeneity effect on microfinance social efficiency," LIDAM Discussion Papers ISBA 2022010, Université catholique de Louvain, Institute of Statistics, Biostatistics and Actuarial Sciences (ISBA).
    2. Thierry Martial BILOA & Emile Blaise SIEWE POUGOUE & Jean Hugues NLOM, 2022. "Déterminants de la performance financière et sociale des institutions de microfinance au Cameroun," Journal of Academic Finance, RED research unit, university of Gabes, Tunisia, vol. 13(2), pages 96-120, December.
    3. Fall, François Seck & Tchakoute Tchuigoua, Hubert & Vanhems, Anne & Simar, Léopold, 2024. "A panel analysis of microfinance efficiency measures: Evidence on the effects of unobserved managerial ability," LIDAM Discussion Papers ISBA 2024020, Université catholique de Louvain, Institute of Statistics, Biostatistics and Actuarial Sciences (ISBA).
    4. Fall, F.S. & Tchakoute Tchuigoua, H. & Vanhems, A. & Simar, L., 2021. "Gender effect on microfinance social efficiency: A robust nonparametric approach," European Journal of Operational Research, Elsevier, vol. 295(2), pages 744-757.
    5. Li, Lin Yang & Hermes, Niels & Meesters, Aljar, 2019. "Convergence of the performance of microfinance institutions: A decomposition analysis," Economic Modelling, Elsevier, vol. 81(C), pages 308-324.

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