Analyzing Macroeconomic Indicators that May Affect Economic Growth in Sub-Saharan African Countries: A Panel Data Analysis in the Context of Income Level Classification (1990-2019)

The purpose of the study was to ascertain whether the export-import coverage ratio (EXIM), the income of natural resources (NATR), labour force participation rate (LFPR), and foreign direct investment (FDI) had a positive or negative impact on economic growth for 34 Sub-Saharan African countries using data from 1990 to 2019. The change in Gross Domestic Product Per Capita (%) is used in the study as a proxy for the economic growth variable, and Sub-Saharan African nations were categorized based on the United Nations' income classification system to create more homogeneous groups and consequently more accurate analysis results. To do this, 34 Sub-Saharan African nations were divided into three income categories: lower-middle-income, upper-middle-income, and low-income. The income categories established by the UN were considered while drawing this distinction. This divide led to the analysis of 18 low-income nations, 12 lower-middle-income countries, and 4 upper-middle-income countries. One of the dynamic panel data analysis techniques, the two-step system GMM panel data analysis, was used as the econometric analysis approach. According to the estimations, FDI in lower-middle-income sub-Saharan African countries was statistically significant and inversely related to economic growth; it was observed that the coverage ratio of exports to imports has a statistically significant and linear relationship. None of these independent variables were found to influence economic growth in low-income sub-Saharan African countries. There is a statistically significant correlation between the LFPR and NATR and economic development in the upper-middle income category of nations analyzed. As a result, the influence of factors varied and fluctuated on economic growth based on the income levels of different groups.