This article analyzes the labor-intensive poverty in the West African Economic and Monetary Union (WAEMU) area using data from the Harmonized Household Living Conditions Surveys (HHLCS). Despite high levels of employment, a significant proportion of workers remain in poverty, revealing the structural limitations of labor markets in this economic and monetary area. Working poverty appears to be closely linked to rural areas, informal employment, low human capital and the predominance of subsistence agriculture. Women, young people and workers from large households are particularly at risk. Conversely, education, formal employment and integration into industry or services significantly reduce the risk of poverty in employment. These results underline that the sustainable reduction of worker poverty requires integrated policies combining educational investment, formalization of the economy, productive diversification and strengthening of social protection.
References
[1]
AfDB (2021). African Economic Outlook 2021: From Debt Resolution to Growth. African Development Bank.
[2]
Banque Mondiale (2022). Jobs Diagnostic for Sub-Saharan Africa. World Bank.
[3]
Banque Mondiale (2024). Pauvreté, la prospérité et la planète: Les voies de sortie d’une polycrise. World Bank.
[4]
Barrett, C. B., Reardon, T., & Webb, P. (2001). Nonfarm Income Diversification and Household Livelihood Strategies in Rural Africa. World Development, 29, 315-331.
[5]
Becker, G. S. (1964). Human Capital: A Theoretical and Empirical Analysis, with Special Reference to Education. University of Chicago Press.
[6]
Caspersz, D. (2001). The Power to Choose: Bangladeshi Women and Labour Market Decisions in London and Dhaka by Naila Kabeer, London: Verso, 2000, 464 pp., ISBN 1-85984-804-4. Relations Industrielles, 56, 217. https://doi.org/10.7202/000153ar
[7]
Chant, S., & Sweetman, C. (2012). Gender, Poverty and Labour Markets in Africa. Oxfam GB.
[8]
Chen, M. A. (2006). Rethinking the Informal Economy: Linkages with the Formal Economy and the Formal Regulatory Environment. In B. Guha-Khasnobis, R. Kanbur, & E. Ostrom (Eds.), Linking the Formal and Informal Economy (pp. 75-92). Oxford University Press. https://doi.org/10.1093/0199204764.003.0005
[9]
Deaton, A. (2003). Health, Inequality, and Economic Development. Journal of Economic Literature, 41, 113-158. https://doi.org/10.1257/jel.41.1.113
[10]
Doeringer, P. B., & Piore, M. J. (1971). Internal Labor Markets and Manpower Analysis. D. C. Heath.
[11]
Ellis, F. (2000). Rural Livelihoods and Diversity in Developing Countries. Oxford University Press.
[12]
Elson, D. (2002). Gender Justice, Human Rights, and Neo-Liberal Economic Policies. In M. Molyneux, & S. Razavi (Eds.), Gender Justice, Development, and Rights (pp. 78-114). Oxford University Press. https://doi.org/10.1093/0199256454.003.0003
[13]
Fields, G. S. (1990). Labour Market Modeling and the Urban Informal Sector: Theory and Evidence. In OECD (Ed.), The Informal Sector Revisited (pp. 49-69). OECD.
[14]
Fox, L., & Kaul, U. (2017). The Evidence Is in: How Should Youth Employment Programs in Low-Income Countries Be Designed? U.S. Agency for International Development.
[15]
Gindling, T. H., & Newhouse, D. (2014). Self-Employment in the Developing World. World Development, 56, 313-331. https://doi.org/10.1016/j.worlddev.2013.03.003
[16]
ILO (2018a). Decent Work and the Informal Economy. International Labour Office.
[17]
ILO (2018b). Women and Men in the Informal Economy: A Statistical Picture. International Labour Office.
[18]
ILO (2023). World Employment and Social Outlook: Trends 2023. International Labour Office. https://www.ilo.org
[19]
Korem, A. (2021). Education et emploi en Afrique subsaharienne: Quelle éducation pour quel emploi? Revue d’Economie Théorique et Appliquée, 11, 167-186. https://doi.org/10.62519/reta.v11n2a5
[20]
Minot, N., & Daniels, L. (2005). Impact of Global Cotton Markets on Rural Poverty in Benin. Agricultural Economics, 33, 453-466. https://doi.org/10.1111/j.1574-0864.2005.00415.x
[21]
Munoz Boudet. A. M., Buitrago, P., De La Briere, B.L., Newhouse, D., Rubiano Matulevich, E., Scott, K., & Suarez-Becerra, P. (2018). Gender Differences in Poverty and Household Composition through the Life-Cycle: A Global Perspective (World Bank Policy Research Working Paper No. 8360). World Bank. http://hdl.handle.net/10986/29426
[22]
Ponthieux, S. (2010). Assessing and Analysing In-Work Poverty Risk. In A. B. Atkinson, & E. Marlier (Eds.), Income and Living Conditions in Europe (pp. 307-328). Eurostat.
[23]
Portes, A., & Hoffman, K. (2003). Latin American Class Structures: Their Composition and Change during the Neoliberal Era. Latin American Research Review, 38, 41-82. https://doi.org/10.1353/lar.2003.0011
[24]
Ravallion, M. (2001). Growth, Inequality and Poverty: Looking beyond Averages. World Development, 29, 1803-1815. https://doi.org/10.1016/s0305-750x(01)00072-9
[25]
Ravallion, M. (2015). The Economics of Poverty: History, Measurement, and Policy. Oxford University Press. https://doi.org/10.1093/acprof:oso/9780190212766.001.0001
[26]
Sen, A. (1997). On Economic Inequality (Expanded ed.). Clarendon Press.
[27]
Sen, A. (1999). Development as Freedom. Oxford University Press.
[28]
Taylor, J. E., & Martin, P. (2001). Human Capital, Migration, and Rural Population Change. In B. Gardner, & G. Rausser (Eds.), Handbook of Agricultural Economics (Vol. 1A, pp. 457-511). Elsevier.
[29]
World Bank (2019). Benin: Agricultural Sector Review. World Bank.
[30]
World Bank (2020). World Development Indicators 2020. World Bank.
