Purpose: This paper examines the effect of external debt on economic growth in Sub-Saharan Africa (SSA) in view of an upsurge in the level of external debt in many countries on the continent. Design/methodology/approach: The paper uses annual data for 39 SSA countries from 1990 to 2013 and...

The question of what really drives economic growth in sub-Saharan Africa (SSA) has been debated for many decades now. However, there is still a lack of clarity on variables crucial for driving growth as prior contributions have been executed at the backdrop of preferential selection of...

Using the threshold regression model, we examine the effects of Foreign Direct Investment (FDI), and the mediating role of FDI absorptive capacity, on economic growth in Sub-Saharan Africa. We find that the threshold level of FDI inflows per person is approximately US$ 44.67 per annum. For FDI...

In theory, the underlying logic entails that, a country should borrow as long as the capital thus acquired produces a rate of return that is higher than the cost of the foreign borrowing. In that event, the economy of the borrowing country will result in increased capacity coupled with expanding...

The aim of the study was to examine the macroeconomic determinants of capital flight from the Sub-Saharan African (SSA) countries between the period 1981-2015. The study used secondary data obtained from the World Bank Development Indicators (WDI) and applied the autoregressive distributed lag...

The main purpose of this paper is to demonstrate the effect of debt overhang on real equilibrium exchange rate. Using a panel of twenty Sub-Saharan African countries, we find a non linear effect of external public debt on real exchange rate. External public debt negatively affects the real...

This paper examines the connections of structural change and economic openness to labour productivity growth using a panel data set of 41 countries in sub-Saharan Africa for the period 1991-2015. A dynamic panel model of cross-country productivity growth is estimated using the least squares with...

A conspicuous lacuna in the literature on Sub-Saharan Africa (SSA) is the lack of clarity on variables key for driving and predicting inclusive growth. To address this, I train the machine learning algorithms for the Standard lasso, the Minimum Schwarz Bayesian Information Criterion (Minimum...