Comparative investigation of the growth-poverty-inequality trilemma in Sub-Saharan Africa and Latin American and Caribbean Countries.

To "end poverty in all its forms everywhere" and "reduce inequality within and among countries", this study aligns with the 2030 Sustainable Development Goals 1 and 10. It uniquely contributes to the growth-poverty-inequality discourse by using per capita consumption expenditure growth (poverty), Gini index (inequality) and GDP growth (economic growth). It is a comparative analysis of 58 Sub-Saharan Africa (SSA) and Latin American (LAC) countries (from 2000 to 2015) to determine whether economic growth reduces the incidence of poverty and if its interaction with income inequality enhances or alters its impact on poverty. Consistent findings from a multi-analytical approach using pooled ordinary least squares, fixed effects and system GMM reveal that: (1) economic growth exhibit poverty-reduction properties; (2) the growth rate of inequality intensifies poverty, (3) inequality aggravates the impact of growth on poverty, and (4) the growth-poverty-inequality trilemma differs across income groups and regional samples. Furthermore, this study submits that the interaction of income inequality dampens the positive impact of economic growth on the incidence of poverty and supports the argument that the extent of inequality lessens the effect of inclusiveness. Hence, income inequality is a crucial determinant of poverty. Policy implications are discussed.

Implications of oil price shocks on net oil-importing African countries.

The study examines the implications of oil price shocks on developing net oil-importing countries. The study considers the casual relationship, impulse response function, and vector decomposition between oil prices and macroeconomic variables using an unrestricted vector autoregressive (VAR) model. In addition, other robust econometric techniques were applied to the time series of oil prices, GDP per capita (GDPC), and energy consumption from 1980 to 2015. Mix results were obtained for the selected African countries - Cape Verde, Liberia, Sierra Leone, and The Gambia. Evidence from the granger test shows that oil prices cause GDPC in Liberia and Sierra Leone. Furthermore, analyses from the VAR model and Impulse response indicate that oil price increase will temporarily increase GDP per capita in the short run for the selected countries. The study recommends policies that can effectively mitigate the adverse effect of the oil price increase.