Through mechanisms including knowledge transfer and productivity spillovers, foreign direct investment (FDI) is viewed as a critical driver of growth in developing economies. However, the majority of African nations require capital inflows, particularly foreign direct investment (FDI), as a result of insufficient capital accumulation. The capacity of African governments to deliver top-notch infrastructure and social services has been diminished as a result. However, there has not been any independent research on how FDI inflows have affected Africa’s top 10 nations between 1970 and 2021. Most studies on the subject overlooked the impact of institutional quality on FDI inflows and omitted pertinent indicators of infrastructure development. The purpose of this article is to present a comparative analysis of the factors influencing the top ten beneficiaries of FDI in Africa. The ARDL bound test was employed to confirm the co-integration of the variables over the long term. The major goal is to confirm the relationship between the short- and long-term determinants of foreign direct investment in the top ten African recipients. This estimation was performed based on the unique characteristics of each country to make comparisons and inferences easier. The results of the limit test demonstrated the existence of a long-term connection between the examined determinants. The study found that infrastructure gaps, poor domestic savings, and price inflation were some of the mitigating factors preventing FDI from entering these countries. Additionally, the study found poor governance, which may impede the growth of effective institutions and capital inflows. It is crucial that these nations undertake both fiscal and monetary policies in order to address these issues, draw in private investments that allow for significant economic activity, and boost their economies’ prosperity.
The Export-Led Growth Hypothesis (ELGH) posits that expanding exports drive long-run economic growth. While this has held true for several Asian economies, its effectiveness across African regional blocs remains underexplored. This study investigates the validity of ELGH in the East African Community (EAC) and Southern African Development Community (SADC), assessing whether exports significantly contribute to economic growth in these regions. The analysis covers 22 EAC and SADC economies from 1990 to 2022—regions marked by structural transformation efforts, trade liberalisation, and participation in the AfCFTA. A dynamic panel data model based on an augmented Cobb-Douglas production function is estimated using the System Generalised Method of Moments (System GMM) to address endogeneity and reverse causality. Granger causality tests supplement the analysis. Exports and technology significantly enhance GDP growth, while labour and FDI are statistically insignificant. Trade openness negatively affects growth, suggesting vulnerability to external shocks. A bidirectional Granger causality exists between exports and GDP. This study offers the first dynamic, bloc-level empirical evaluation of ELGH across EAC and SADC, incorporating trade-related interactions. Findings affirm ELGH’s relevance and stress the need for export diversification, technological upgrading, and institutional reform for sustained growth in Africa.
This South African case study controls for the fiscal side of the economy using government borrowing as a potential accelerator of asymmetry in a monetary function that follows Taylor’s rule. Through the linear and non-linear ARDL framework, we find significant asymmetry effects of monetary policy on output and inflation, respectively. We also find government borrowing as an important underlying source of asymmetries in the response of macroeconomic fundamentals to monetary policy shocks in South Africa. Thus, we recommend that monetary authorities consider not only the effectiveness or otherwise of monetary policy instruments to affect the target policy goals, but also the fact that not all the target variables react in a similar way to expansionary and contractionary monetary policy shocks.