Analysis of the Evolution of Income Disparities Among WAEMU Member Countries

COULIBALY, Niénéyéri Mamadou (2021): Analysis of the Evolution of Income Disparities Among WAEMU Member Countries. Published in: International Journal of Economics and Finance , Vol. 14, No. 2 (18 January 2022): pp. 97-114.

Abstract

The main aims of this study are to examine the income disparities’ evolution among the West-African Economic and Monetary Union (WAEMU) countries over the period 1980-2019, and to determine whether the reforms implemented in the region since 1994 have helped to reduce or to accentuate the income disparities among the Member States of the Union. The approach used for the analysis is that of sigma-convergence. It consists in studying the evolution of income dispersion over time, standard deviation being generally used as measure of dispersion. The results obtained show a reduction of per capita income inequalities among the WAEMU Member States. They also point out that the reforms undertaken in the area since 1994 have partly helped to reduce the income disparities among nations. In view of these findings, the study recommends to the community authorities to continue the implementation of the reforms and to reinforce the coordination as well as the harmonization of economical, financial and commercial policies of the Union.

• Item Type: MPRA Paper
• Language: English
• Keywords: income disparities, income inequalities, Sigma-Convergence and WAEMU
• Subjects: C - Mathematical and Quantitative Methods > C1 - Econometric and Statistical Methods and Methodology: General > C13 - Estimation: General; C - Mathematical and Quantitative Methods > C4 - Econometric and Statistical Methods: Special Topics > C41 - Duration Analysis ; Optimal Timing Strategies; F - International Economics > F1 - Trade > F15 - Economic Integration; O - Economic Development, Innovation, Technological Change, and Growth > O1 - Economic Development > O11 - Macroeconomic Analyses of Economic Development

References

Allaoui, Z., & Chkir, A. (2006). Mondialisation, convergence et croissance économique: Une analyse par les données de panel. MPRA Paper, 7306, Munich Personal RePEc Archive (MPRA). Retrieved from http://mpra.ub.uni-muenchen.de/7306/

Bai, J., & Perron, P. (2003). Computation and Analysis of Multiple Structural Change Models. Journal of Applied Econometrics, 1-22. https://doi.org/10.1002/jae.659

Barro, R. J. (1984). Macroeconomics (1st ed.). Wiley, New York.

Barro, R. J., & Sala-i-Martin, X. (1990). Economic Growth and Convergence Across the United States. National Bureau of Economic Research working paper, 3419. https://doi.org/10.3386/w3419

Barro, R. J., & Sala-i-Martin, X. (1991). Convergence Across States and Regions. Brooking Papers on Economic Activity, 22(1), 107-182. https://doi.org/10.2307/2534639

Barro, R. J., & Sala-i-Martin, X. (1992). Convergence. Journal of Political Economy, 100(2), 223-251. https://doi.org/10.1086/261816

Baumol, W. J. (1986). Productivity Growth, Convergence, and Welfare: What the Long Run Data Show. American Economic Review, 76, 1072-1085.

Borts, G. H., & Stein, J. L. (1964). Economic Growth in a Free Market. Columbia University Press, New York.

Combey, A., & Mally, K. (2010). Impact du pacte de convergence, de stabilité et de croissance sur la convergence réelle dans l’UEMOA. MPRA Paper, 24408, Munich Personal RePEc Archive (MPRA).

Commission Économique pour l’Afrique. (2007). Convergence économique en Afrique Centrale. Rapport, Commission Économique pour l’Afrique/ Bureau Sous-Régional pour l’Afrique Centrale, octobre.

Diop, P. L. (2002). Convergence nominale et convergence réelle: Une application des concepts de σ-convergence et de β-convergence aux économies de la CEDEAO. Notes d’Information et Statistiques, 531, BCEAO.

Dowrick, S., & Nguyen, D. (1989). OECD Comparative Economic Growth 1950-85: Catch-Up and Convergence. American Economic Review, 79, 1010-1030.

Easterlin, R. A. (1960). Interregional Differences in Per Capita Income, Population, and Total Income, 1840-1950. In Conference on Research in Income and Wealth, NBER (National Bureau of Economic Research) Studies in Income and Wealth, 24.

Gannoun, I. (2007). Évaluation de la convergence de l’efficience productive des secteurs bancaires d’un nombre de pays émergents (la Tunisie, le Maroc, l’Egypte, le Liban, le Qatar, la Jordanie, le Mexique, l’Argentine, la Malaisie, l’Indonésie, Singapore, la Thaïlande, la Corée du Sud, l’Inde et la Turquie). Institut Supérieur de Gestion de Sousse, Université de Sousse.

Gbetnkom, D. (2007). Réformes commerciales et convergence réelle dans la CEMAC. Actes de la Conférence 2007 (Conférence Économique pour l’Afrique), Addis-Abeba, 15-17 novembre 2007.

Gbohoui, W. (2013). Economic Integration in WAEMU: Will the Multilateral Monitoring Mechanism lead to Growth and Welfare Convergence? Paper prepared for the African Economic Conference (AEC) on «Regional Integration in Africa». Retrieved from http://www.afdb.org/uploads/tx_llafdbpapers/Economic_Integration_in_WAEMU.pdf

Guetat, I., & Serranito, F. (2009). Convergence des pays de la région MENA vers le niveau de revenu des pays du sud de l’Europe: Une évaluation empirique. Économie appliquée, 62(2), 33-67.

Hendajany, N., Saepudin, D., & Suaesih, A. (2017). Beta Convergence and Sigma Convergence: Evidence from Indonesian District-Level Data. Jurnal Ekonomi Kuantitatif Terapan (JEKT), 10(1), 10-25. https://doi.org/10.24843/JEKT.2017.v10.i01.p03

Kumo, W. L. (2011). Growth and Macroeconomic Convergence in Southern Africa. Working Paper Series, 130, African Development Bank, Tunis, Tunisia.

Kurniawati, S., & Lestari, N. (2019). Sigma Convergence and VECM Approach in Explaining the Relationship among Macro Variables in Indonesia. Journal of Business and Economics Review, 4(4), 156-162. https://doi.org/10.35609/jber.2019.4.4(2)

Lopes, J. C., & Araújo, T. (2016). GeoFigureic and DemoFigureic Determinants of Regional Growth and Convergence: A Network Approach. Revista Portuguesa de Estudos Regionais, 43, 35-49. http://www.apdr.pt/siterper/numeros/RPER43/43.3.pdf

Mann, H. B., & Whitney, D. R. (1947). On a Test of Whether One of Two Random Variables is Stochastically Larger than the Other. Annals of Mathematical Statistics, 18(1), 50-60. https://doi.org/10.1214/aoms/1177730491

Marques, A. & Soukiazis, E. (1998). Per Capita Income Convergence Across Countries and Across Regions in the European Union: Some New Evidence. Paper presented at the International Meeting of European Economy.

Milanovic, B. (2011). Plus ou moins. Finances & Développement, 48(3), 6-11.

Ndiaye, M. B. O. (2006). UEMOA: Une intégration économique à deux vitesses à travers des clubs de convergence. Communication aux 7èmes journées scientifiques du réseau «Analyse Économique et Développement de l’AUF», Paris, les 7 et 8 septembre 2006.

Niang, A. A. (2010). Croissance et convergence économique en Afrique: l’impact des effets spatiaux. MPRA Paper, 24059, Munich Personal RePEc Archive (MPRA).

Quah, D. T. (1993). Galton’s Fallacy and Tests of the Convergence Hypothesis. The Scandinavian Journal of Economics, 95, 427-443. https://doi.org/10.2307/3440905

Romer, P. (1986). Increasing Returns and Long-Run Growth. Journal of Political Economy, 94, 1002-1037. https://doi.org/10.1086/261420

Solow, R. M. (1956). A Contribution to the Theory of Economic Growth. Quaterly Journal of Economics, 70(1), 65-94. https://doi.org/10.2307/1884513

Streissler, E. (1979). Growth Models as Diffusion Processes: II. Empirical Implications. Kykios, 32(3), 571-586. https://doi.org/10.1111/j.1467-6435.1979.tb02604.x

Wilcoxon, F. (1945). Individual Comparisons by Ranking Methods. Biometrics, 1(6), 80-83. https://doi.org/10.2307/3001968