Demographic structure and economic growth:

An econometrics analysis for West Africa

Authors

DOI:

https://doi.org/10.46661/rev.metodoscuant.econ.empresa.11887

Keywords:

demographic structure, economic growth, weighted least square, West Africa

Abstract

Demographic structure plays a crucial role in shaping economic growth, particularly in regions undergoing rapid population changes. West Africa, characterized by a young population, high fertility rates, and urbanization, presents both opportunities and challenges for economic development. While demographic transitions can generate economic dividends, inefficient labour markets and inadequate investments in human capital may hinder growth. This study examines the impact of demographic factors on economic growth in West Africa using econometric analysis. This research employs a panel data regression model to analyze the relationship between economic growth (measured by the logarithm of GDP per capita in levels) and key demographic variables, including age dependency ratio, labour force participation rate, population growth, urbanization, life expectancy, and health expenditure. Secondary data from 16 West African countries between 2000 and 2022 were obtained from the World Development Indicators. The study applies the Random Effects model and Weighted Least Squares regression to address heteroskedasticity and improve estimate efficiency. Findings reveal that a high age dependency ratio and rapid population growth negatively impact economic growth, while urbanization and life expectancy contribute positively. Labour force participation showed a weak negative effect, suggesting labour market inefficiencies. Interestingly, increased health expenditure was negatively associated with growth, indicating potential inefficiencies in resource allocation. The study highlights the complex relationship between demographics and economic growth in West Africa. Policies focusing on reducing dependency ratios, improving labour productivity, and ensuring efficient health investments are essential to harness demographic advantages and foster sustainable development.

 

Downloads

Download data is not yet available.

References

Acemoglu, D., & Johnson, S. (2007). Disease and development: The effect of life expectancy on economic growth. Journal of Political Economy, 115(6), 925-985.

https://doi.org/10.1086/529000

Acemoglu, D., & Restrepo, P. (2023). Demographics and automation. The Review of Economic Studies, 90(1), 1-35.

https://doi.org/10.1093/restud/rdab031

Abdebowale, A. S., & Palamuleni, M. E. (2023). Religion and ethnicity interaction as a predictor of male fertility in Nigeria: Evidence from a national representative sample. PLOS ONE, 19(1), Article e0296983.

https://doi.org/10.1371/journal.pone.0296983

African Development Bank. (2023). Research gaps in African development. African Development Bank. https://www.afdb.org

Baltagi, B. H. (2021). Econometric analysis of panel data (6th ed.). Springer.

https://doi.org/10.1007/978-3-030-53953-5

Baumol, W. J. (2012). The cost disease: Why computers get cheaper and health care doesn't. Yale University Press.

Beauchemin, C., & Bocquier, P. (2004). Migration and Urbanisation in Francophone West Africa: An Overview of the Recent Empirical Evidence. Urban Studies, 41(11), 2245-2272.

https://doi.org/10.1080/0042098042000268447

Bloom, D. E., & Canning, D. (2008). Global demographic change: Dimensions and economic significance. Population and Development Review, 34(Suppl.), 17-51.

https://doi.org/10.3386/w10817

Bloom, D. E., & Luca, D. L. (2023). The global demography of aging. In J. Piggott & A. Woodland (Eds.), Handbook of the economics of population aging (Vol. 2, pp. 1-45). Elsevier. https://docs.iza.org/dp10163.pdf

Bloom, D. E., Kuhn, M., & Prettner, K. (2020). The contribution of female health to economic development. Economic Journal, 124(565), 1055-1075.

https://doi.org/10.1093/ej/ueaa061

Bloom, D. E., & Williamson, J. G. (1998). Demographic transitions and economic miracles in emerging Asia. The World Bank Economic Review, 12(3), 419-455.

https://doi.org/10.1093/wber/12.3.419

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

https://doi.org/10.1596/978-1-4648-0489-2

Casterline, J. B., & Agyei-Mensah, S. (2017). Fertility desires and the course of fertility decline in sub-Saharan Africa. Population and Development Review, 43(1), 84-111.

https://doi.org/10.1111/padr.12030

Chen, W., Han, C., & Dong, R. (2023). Cohort fertility of women in mainland China: A new perspective based on micro-census data. Demographic Research, 49, 167-182.

https://doi.org/10.4054/DemRes.2023.49.6

Ehrlich, P. R., & Holdren, J. P. (1971). Impact of population growth. Science, 171(3977), 1212-1217.

https://doi.org/10.1126/science.171.3977.1212

Engle, R. F., & Granger, C. W. J. (1987). Co-integration and error correction: Representation, estimation, and testing. Econometrica, 55(2), 251-276.

https://doi.org/10.2307/1913236

Glaeser, E. L. (2011). Triumph of the city: How our greatest invention makes us richer, smarter, greener, healthier, and happier. Penguin Press.

Greene, W. H. (2020). Econometric analysis (8th ed.). Pearson.

Guengant, J. P., & May, J. F. (2020). Demography and Economic Emergence of Sub-Saharan Africa. In R. Mabiala & M. Diallo (Eds.), The Demography of Africa (pp. 115-130). Académie Royale des Sciences d'Outre-Mer.

https://doi.org/10.1596/978-1-4648-0489-2

Gujarati, D. N., & Porter, D. C. (2009). Basic econometrics (5th ed.). McGraw-Hill Education.

International Labour Organization. (2021). World employment and social outlook: Trends 2021. ILO. https://www.ilo.org

KC, S., Dhakat, M., Potancokova, M., Adhikari, S., Yildiz, D., Mamolo, M., Sobotka, T., Zeman, K., Abel, G., Lutz, W., & Goujon, A. (2024). Wittgenstein Center (WIC) Population and Human Capital Projections - 2023 (Version 3) [Data set]. Zenodo. https://doi.org/10.5281/zenodo.10618931

Mankiw, N. G. (2020). Principles of economics (9th ed.). Cengage Learning.

Mason, A., & Lee, R. (2007). The demographic dividend and ageing in developing countries. International Monetary Fund Working Paper, WP/07/239

Mberu, B. U., Ezeh, A. C., Chepngeno-Langat, G., Kimani, J., & Beguy, D. (2023). Demographic dynamics and economic development in sub-Saharan Africa. Population and Development Review, 49(2), 355-382.

https://doi.org/10.1111/padr.12563

Muramatsu, N., & Akiyama, H. (2023). Japan's super-aging society. The Gerontologist, 63(1), 7-16.

https://doi.org/10.1093/geront/gnac112

Odimegwu, C., & Abimbola, O. (2022). The Demographic Dividend in Sub-Saharan Africa: A Review of the Evidence. Population and Development Review, 48(4), 861-890

Organisation for Economic Co-operation and Development. (2023). African economic outlook 2023. OECD. https://www.oecd.org

Sobotka, T., & Beaujouan, É. (2023). Late fertility postponement and childlessness in low-fertility countries. Population and Development Review, 49(1), 1-28.

https://doi.org/10.1111/padr.12544

Tabutin, D., & Schoumaker, B. (2004). The Demography of Sub-Saharan Africa since the 1950s: A Survey of the Results and a Critical Analysis of the Data and Methods. Population, 59(4), 517-625.

https://doi.org/10.3917/pope.403.0455

United Nations, Department of Economic and Social Affairs, Population Division. (2023). World population prospects 2023: Summary of results. United Nations. https://population.un.org/wpp/

United Nations Development Programme. (2024). Human development report 2023-2024: Breaking the gridlock: Reimagining cooperation in a polarized world. UNDP. https://hdr.undp.org/

https://doi.org/10.18356/9789213588703

United Nations Economic Commission for Africa. (2023). Policy research gaps. UNECA. https://www.uneca.org

UN-Habitat. (2020). World Cities Report 2020: The Value of Sustainable Urbanization. United Nations Human Settlements Programme. https://unhabitat.org/sites/default/files/2020/10/wcr_2020_report.pdf

Weil, D. N. (2007). Accounting for the effect of health on economic growth. The Quarterly Journal of Economics, 122(3), 1265-1306.

https://doi.org/10.1162/qjec.122.3.1265

West African Health Organization. (2023). Annual report 2023. WAHO. https://www.wahooas.org

World Bank. (2021). World Development Report 2021: Data for Better Lives. World Bank Publications.

https://doi.org/10.1596/978-1-4648-1600-0

World Bank. (2023a). Development indicators research gaps. World Bank. https://databank.worldbank.org

World Bank. (2023b). World development report 2023: Demographics and development. World Bank. https://www.worldbank.org

World Economic Forum. (2023). The global risks report 2023. World Economic Forum. https://www3.weforum.org/docs/WEF_Global_Risks_Report_2023.pdf

World Health Organization. (2021). The Economics of Health for All: A Call to Action. WHO. https://www.who.int

Wooldridge, J. M. (2010). Econometric analysis of cross section and panel data (2nd ed.). MIT Press.

Zagheni, E., Weber, I., & Gummadi, K. P. (2021). Digital demography. Proceedings of the National Academy of Sciences, 118(2), e2006395118.

Downloads

Published

2026-03-27

How to Cite

Aiikulola, O. I., Tamee, K., Sinnarong, N., Bejrananda, T., & Yooyim, R. (2026). Demographic structure and economic growth: : An econometrics analysis for West Africa. Journal of Quantitative Methods for Economics and Business Administration, 1–18. https://doi.org/10.46661/rev.metodoscuant.econ.empresa.11887

Issue

Section

Articles

Similar Articles

1 2 3 4 5 6 7 8 9 10 > >> 

You may also start an advanced similarity search for this article.