Potentials for Demographic Dividend and Rapid Economic Growth in Mali: What Policy Scenario Would Yield the Greatest Dividend?

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The demographic changes occurring in Mali, evident in high fertility but declining mortality rates have raised optimism about the prospects of reaping demographic dividend. However, it remains unclear how soon and what policy scenario would yield the largest demographic dividend in the country. We used a demographic-economic model “DemDiv” to assess the prospects of reaping a demographic dividend in Mali by 2050. We illuminate this further by examining the cost and implications of different combination of education, family planning and economic policies. The results show that by increasing access to education, family planning services coupled with strong economic reforms, Mali’s GDP per capita will be $27,044 by 2050. This high per capita GDP is almost thrice the benefit of prioritising only economic reforms. Mali would also have a GDP of $977 billion. These findings highlight the need for sound demographic and market-oriented economic policies for Mali to reap a large demographic dividend by 2050.

Admassie, A., Nuru, S., May, J., & Megquier, S. (2015). The demographic dividend: An opportunity for ethiopia’s transformation, Washington, DC: Population Reference Bureau and Ethiopian Economics Association.

Bloom, D., Canning, D., Fink, G., & Finlay, J. (2009). Fertility, female labor force participation, and the demographic dividend. Journal of Economic Growth, 14(2): 79-101.

Bloom, D., Kuhn, M., & Prettner, K. (2017). Africa’s prospects for enjoying a demographic dividend. Journal of Demographic Economics, 83(01): 63-76.

Canning, D., Raja, S., & Yazbeck, A. (2015). Africa’s demographic transition: Dividend or disaster?, World Bank Publications.

Chicoine, L. (2012). Education and fertility: Evidence from a policy change in kenya.

Choi, Y. (2016). Demographic transition in sub-saharan africa: Implications for demographic dividend. Demographic dividends: Emerging challenges and policy implications. Springer International Publishing.

Darroch, J., Sedgh, G., & Ball, H. (2011). Contraceptive technologies: Responding to women’s needs, New York.

Duflo, E., Dupas, P., Kremer, M., & Sinei, S. (2006). Education and hiv/aids prevention: Evidence from a randomized evaluation in western kenya, Washington, DC: Bank, W.

Eastwood, R., & Lipton, M. (2012). The demographic dividend: Retrospect and prospect. Economic Affairs, 32(1): 26-30.

Furnkranz-Prskawetz, A., Lee, R., Lee, S.-H., Mason, A., Miller, T., Mwabu, G., Ogawa, N., & Soyibo, A. (2013). Population change and economic growth in africa.

Garenne, M., & Gakusi, E. (2006). Health transitions in sub-saharan africa: Overview of mortality trends in children under 5 years old (1950-2000). Bull World Health Organ, 84(6): 470-8.

Gribble, J., & Bremner, J. (2012). The challenge of attaining the demographic dividend, Washington, DC.

Guengant, J.P., & Kamara, Y. (2012). How can we capitalize on the demographic dividend? Demographics at the heart of development pathways: Synthesis of studies conducted in waemu countries and in ghana, guinea, mauritania and nigeria., Paris: (Ird), A.a.I.F.R.I.D.

Health Policy Project, & United States Agency for International Development (2014). Demdiv model. In: Futures Group, H.P.P. (ed.). Washington, DC.

Hertrich, V. (2017). Trends in age at marriage and the onset of fertility transition in sub-saharan africa. Population and Development Review, 43: 112-137.

Joshi, S. (2012). Reproductive health and economic development: What connections should we focus on?, Washington D.C.: Population Reference Bureau.

Kalemli-Ozcan, S., Ryder, H., & Weil, D. (2000). Mortality decline, human capital investment, and economic growth. Journal of development economics, 62(1): 1-23.

Karra, M., Canning, D., & Wilde, J. (2017). The effect of fertility decline on economic growth in africa: A macrosimulation model. Population and Development Review, 43: 237-263.

Knowles, S., Lorgelly, P., & Owen, P.D. (2002). Are educational gender gaps a brake on economic development? Some cross‐country empirical evidence. Oxford economic papers, 54(1): 118-149.

Korenman, S., & Neumark, D. (2000). Cohort crowding and youth labor markets (a cross-national analysis). In: Blanchflower, D., & Freeman, R. (eds.) Youth employment and joblessness in advanced countries. Chicago: University of Chicago Press and National Bureau of Economic Research.

Lee, R., & Mason, A. (2010). Fertility, human capital, and economic growth over the demographic transition. European Journal of Population, 26(2): 159-182.

Lee, R., & Mason, A. (2012). Lower-income countries and the demographic dividend.

Moreland, S., Madsen, E., Kuang, B., Hamilton, M., Jurczynska, K., & Brodish, P. (2014). Modeling the demographic dividend: Technical guide to the demdiv model, Washington, DC: Futures Group, H.P.P.

Olaniyan, O., Soyibo, A., & Lawanson, A.O. (2012). Demographic transition, demographic dividend and economic growth in nigeria. African Population Studies, 26(2).

Osili, U.O., & Long, B.T. (2008). Does female schooling reduce fertility? Evidence from nigeria. Journal of Development Economics, 87(1): 57-75.

Pradhan, E., & Canning, D. (2013). Socioeconomic determinants of fertility.

Reher, D. (2011). Economic and social implications of the demographic transition. Population and Development Review, 37(S1): 11-33.

Schultz, T.P. (2005). Productive benefits of health: Evidence from low-income countries. In: Lopez-Casasnovas, G., Riveras, B., & Currais, L. (eds.) Health and economic growth: Findings and policy implications. Cambridge, MA: MIT Press.

Urdal, H. (2006). A clash of generations? Youth bulges and political violence International studies quarterly, 50(3): 607-629.

Voas, D. (2003). Conflicting preferences: A reason fertility tends to be too high or too low. Population and Development Review, 29(4): 627-646.

Wang, H., Liddell, C., Coates, M., Mooney, M., Levitz, C., Schumacher, A., Apfel, H., Iannarone, M., Bryan Phillips, Lofgren, K., et al. (2014). Global, regional, and national levels of neonatal, infant, and under-5 mortality during 1990-2013: A systematic analysis for the global burden of disease study 2013. Lancet, 384(9947): 957-79.

World Bank. (2014). Mortality rate, under-5 (per 1,000 live births) [Online]. Available: http://data.worldbank.org/indicator/SH.DYN.MORT?end=2013&locations=MLGN&start=1990 [Accessed 10 August 2017].

Zelleke, G., Sraiheen, A., & Gupta, K. (2013). Human capital, productivity, and economic growth in 31 sub-saharan african countries for the period 1975-2008. International Journal of Economics and Finance, 5(10): 1-17.

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