Abstract
This study investigates the impact of market-based financial development-specifically proxied by stock value traded-on economic growth across ten selected Sub-Saharan African (SSA) economies (Botswana, Ghana, Kenya, Mauritius, Namibia, Nigeria, South Africa, Eswatini, Zambia, and Zimbabwe) over the period 1995 to 2025. To mitigate business cycle distortions, annual observations were averaged into non-overlapping five-year periods. Methodologically, the study employs second-generation panel unit root tests, Westerlund panel cointegration tests to establish long-run equilibrium relationships, and the System Generalized Method of Moments (System-GMM) dynamic panel estimator to address potential endogeneity and unobserved country-specific effects. The empirical findings confirm the presence of a robust long-run cointegrating relationship among financial development indicators, macroeconomic stability, physical capital accumulation, human capital investment, and economic growth. The System-GMM estimation results reveal that market-based financial development (stock value traded) exerts a positive and statistically significant impact on the growth rate of real gross domestic product per capita across the sampled region. Furthermore, control variables such as gross fixed capital formation, government expenditure on education, and the consumer price index (macroeconomic stability) emerge as crucial determinants of per capita output growth. Based on these findings, the study recommends that monetary authorities and capital market regulators implement policies to enhance stock market liquidity, deepen regional bourses, maintain macroeconomic stability, and prioritise public investments in education and infrastructure to sustain long-term economic prosperity in Sub-Saharan Africa.
References
Adams, S. (2010). Intellectual property rights, investment climate and economic growth in Sub-Saharan Africa. Research in International Business and Finance, 24(3), 255–262.
Ahad, M., Ahmad, M., & Imran, M. (2017). Does financial development spur industrialization in Pakistan? International Journal of Social Economics, 44(9), 1150–1166.
Arellano, M., & Bond, S. (1991). Some tests of specification for panel data: Monte Carlo evidence and an application to employment equations. The Review of Economic Studies, 58(2), 277–297.
Arellano, M., & Bover, O. (1995). Another look at the instrumental variable estimation of error-components models. Journal of Econometrics, 68(1), 29–51.
Baltagi, B. H. (2008). Econometric analysis of panel data (4th ed.). John Wiley & Sons.
Blundell, R., & Bond, S. (1998). Initial conditions and moment restrictions in dynamic panel data models. Journal of Econometrics, 87(1), 115–143.
Blundell, R., Bond, S., & Windmeijer, F. (2000). Estimation in dynamic panel data models: Improving on the performance of the standard GMM estimator. In B. H. Baltagi (Ed.), Advances in Econometrics: Nonstationary Panels, Panel Cointegration, and Dynamic Panels (Vol. 15, pp. 53–91). Elsevier.
Calderón, C., & Liu, L. (2003). The direction of causality between financial development and economic growth. Journal of Development Economics, 72(1), 321–334.
Ekpeno, E. A. (2015). Financial development and economic growth in Sub-Saharan Africa: A dynamic panel analysis. Journal of African Economics, 24(3), 321–345.
Eller, M., Haiss, P. R., & Steiner, K. (2005). Foreign direct investment in the financial sector: The engine of growth for Central and Eastern Europe? EI Working Paper, No. 69. Europainstitut, Vienna University of Economics and Business.
Forbes, K. J. (2000). A reassessment of the relationship between inequality and growth. American Economic Review, 90(4), 869–887.
Hansen, L. P. (1982). Large sample properties of Generalized Method of Moments estimators. Econometrica, 50(4), 1029–1054.
Kalyvitis, S. (2015). Human capital, trade openness and economic growth: Dynamic panel evidence. Empirical Economics, 49(2), 523–542.
Ketenci, N., Uslu, Ç. L., & Aydoğan, E. T. (2026). Economic growth, financial development, and trade openness in emerging markets: A panel approach. Finance Research Letters, 109, Article 110487.
Lemos Santana Júnior, R. (2026). Desenvolvimento do sistema financeiro e crescimento econômico: Estudo de caso para os BRICS. Brazilian Keynesian Review, 12(1), 112–135.
Levine, R., Loayza, N., & Beck, T. (2000). Financial intermediation and growth: Causality and causes. Journal of Monetary Economics, 46(1), 31–77.
Li, G., Wei, W., & Liu, Y. (2026). Financial development and economic growth nexus: Evidence from emerging markets using dynamic panel analysis. Finance Research Letters, 109, Article 110487.
Ngongang, E. (2015). Financial development and economic growth in Sub-Saharan Africa: A dynamic panel data approach. European Journal of Sustainable Development, 4(2), 347–358.
Roodman, D. (2009). How to do xtabond2: An introduction to difference and system GMM in Stata. The Stata Journal, 9(1), 86–136.
Solow, R. M. (1956). A contribution to the theory of economic growth. The Quarterly Journal of Economics, 70(1), 65–94.
Swan, T. W. (1956). Economic growth and capital accumulation. Economic Record, 32(2), 334–361.
Uwakaeme, O. S. (2015). Economic growth and financial sector development in Nigeria: The empirical connectivity. American International Journal of Contemporary Research, 5(2), 52–66.
Westerlund, J. (2007). Testing for error correction in panel data. Oxford Bulletin of Economics and Statistics, 69(6), 709–748.
Windmeijer, F. (2005). A finite sample correction for the variance of two-step GMM estimators Journal of Econometrics, 126(1), 25–51.
Yartey, C. A., & Adjasi, C. K. (2007). Stock market development in Sub-Saharan Africa: Critical issues and challenges. IMF Working Paper, WP/07/209. International Monetary Fund.