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Financial Inclusion in West African Economic and Monetary Union’s Economies: Performance Analysis Using Data Envelopment Analysis

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  • Pawoumodom Matthias Takouda

    (Research Group in Operations, Analytics and Decision Sciences, Faculty of Management, Laurentian University, Sudbury, ON P3E 2C6, Canada)

  • Mohamed Dia

    (Research Group in Operations, Analytics and Decision Sciences, Faculty of Management, Laurentian University, Sudbury, ON P3E 2C6, Canada)

  • Alassane Ouattara

    (CESAG Recherche Lab, Centre Africain d’Etudes Supérieures en Gestion, Dakar BP 3802, Senegal)

Abstract

A data envelopment analysis (DEA) has yet to be chosen to assess countries’ financial inclusion levels. We introduce an application of the DEA methodology to compute aggregate performance measures regarding the financial inclusion of economies. We specifically explore composite scores based on relative efficiency, super-efficiency, and cross-efficiency approaches. We implement the proposed procedure to study the financial inclusion in nations from the West African Economic and Monetary Union (WAEMU). We use the Union’s Central Bank’s financial inclusion data from 2010 to 2017. We obtain robust financial inclusion level measures, showing that overall, in the Union, there have been steady improvements during the study period, but with heterogenous behavior at the level of each economy. A benchmarking analysis allowed us to determine the countries with the best practices. For the remaining nations, we find their reference countries. Finally, we identified which financial service sectors drive the financial inclusion in each country from the optimal weights of the DEA model.

Suggested Citation

  • Pawoumodom Matthias Takouda & Mohamed Dia & Alassane Ouattara, 2022. "Financial Inclusion in West African Economic and Monetary Union’s Economies: Performance Analysis Using Data Envelopment Analysis," JRFM, MDPI, vol. 15(12), pages 1-30, December.
    • Handle: RePEc:gam:jjrfmx:v:15:y:2022:i:12:p:605-:d:1003386
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    References listed on IDEAS

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    1. Léopold Simar & Paul Wilson, 2000. "Statistical Inference in Nonparametric Frontier Models: The State of the Art," Journal of Productivity Analysis, Springer, vol. 13(1), pages 49-78, January.
    2. Lidia Angulo-Meza & Marcos Lins, 2002. "Review of Methods for Increasing Discrimination in Data Envelopment Analysis," Annals of Operations Research, Springer, vol. 116(1), pages 225-242, October.
    3. Pawoumodom Matthias Takouda & Mohamed Dia, 2016. "Relative efficiency of hardware retail stores chains in Canada," International Journal of Operational Research, Inderscience Enterprises Ltd, vol. 27(1/2), pages 275-290.
    4. 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.
    5. Léopold Simar & Paul W. Wilson, 1998. "Sensitivity Analysis of Efficiency Scores: How to Bootstrap in Nonparametric Frontier Models," Management Science, INFORMS, vol. 44(1), pages 49-61, January.
    6. Ahamed, M. Mostak & Mallick, Sushanta K., 2019. "Is financial inclusion good for bank stability? International evidence," Journal of Economic Behavior & Organization, Elsevier, vol. 157(C), pages 403-427.
    7. Mohamed Dia & Kobana Abukari & Pawoumodom M. Takouda & Abdelouahid Assaidi, 2019. "Relative efficiency measurement of Canadian mining companies," International Journal of Applied Management Science, Inderscience Enterprises Ltd, vol. 11(3), pages 224-242.
    8. Assaf, A. George & Barros, Carlos & Sellers-Rubio, Ricardo, 2011. "Efficiency determinants in retail stores: a Bayesian framework," Omega, Elsevier, vol. 39(3), pages 283-292, June.
    9. Giuseppe Nicoletti & Stefano Scarpetta & Olivier Boylaud, 2000. "Summary Indicators of Product Market Regulation with an Extension to Employment Protection Legislation," OECD Economics Department Working Papers 226, OECD Publishing.
    10. Iñaki Permanyer, 2011. "Assessing The Robustness Of Composite Indices Rankings," Review of Income and Wealth, International Association for Research in Income and Wealth, vol. 57(2), pages 306-326, June.
    11. Pawoumodom M. Takouda & Mohamed Dia, 2019. "An empirical study of the performance of Canadian-owned chains of retail stores," International Journal of Services and Operations Management, Inderscience Enterprises Ltd, vol. 33(4), pages 512-528.
    12. Mohamed Dia & Pawoumodom M. Takouda & Amirmohsen Golmohammadi, 2021. "Efficiency measurement of Canadian oil and gas companies," International Journal of Operational Research, Inderscience Enterprises Ltd, vol. 40(4), pages 460-488.
    13. Mandira Sarma, 2012. "Index of Financial Inclusion – A measure of financial sector inclusiveness," Competence Centre on Money, Trade, Finance and Development 1207, Hochschule fuer Technik und Wirtschaft, Berlin.
    14. Joseph C. Paradi & H. David Sherman & Fai Keung Tam, 2018. "Data Envelopment Analysis in the Financial Services Industry," International Series in Operations Research and Management Science, Springer, number 978-3-319-69725-3, December.
    15. Laurens Cherchye & Wim Moesen & Tom Van Puyenbroeck, 2004. "Legitimately Diverse, yet Comparable: On Synthesizing Social Inclusion Performance in the EU," Journal of Common Market Studies, Wiley Blackwell, vol. 42(5), pages 919-955, December.
    16. Laurens Cherchye, 2001. "Using data envelopment analysis to assess macroeconomic policy performance," Applied Economics, Taylor & Francis Journals, vol. 33(3), pages 407-416.
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