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 multianalytical 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.

This two-dimensional study makes significant incursions into the healthenvironment literature by interrogating whether non-renewable energy moderates the impact of environmental degradation on mortality rates. It further aligns with the 2030 United Nations Sustainable Development Goals and 11, which aim to ensure healthy lives and promote well-being for all at all ages and make cities and human settlements inclusive, safe, resilient and sustainable. It contributes to the health-environment literature by investigating the intrinsic relationships among mortality rates, carbon emissions (environmental degradation), and non-renewable energy consumption. The study uses an unbalanced sample of 42 Asia and Pacific countries to determine (1) whether carbon emissions exaggerate the incidence of mortality rates and (2) if the interaction of non-renewable energy with carbon emissions CAS Article Google Scholar

No abstract

This study contributes to the literature on inflation dynamics by examining whether internal or external factors drive inflationary pressure in Nigeria. Using the annual time series data from 1981 to 2017 and applying Johansen cointegration analysis, the vector error correction mechanism and the impulse response function, the study reveals some compelling evidence to suggest that external forces are responsible for inflationary pressure in Nigeria. The results, amongst others, reveal that: external drivers – exchange rate, imported inflation and openness – induce a positive and direct relation to inflation. This is because a percentage change in these variables results in an increase in inflation of 0.49%, 0.47% and 4.28%, respectively, on average, ceteris paribus; the internal drivers – government expenditures, net food exports and lending interest rate – dampen inflation by 0.48%, 1.70% and 0.02%, respectively, on average, ceteris paribus; there is evidence of cointegration indicating that 57.48% of short-run errors will be corrected in the long run; imported inflation contributes to a deviation of about 33% deviation in the first five periods and accounts for cumulative average of over 100% deviation in inflation. Policy implications are discussed.

No abstract