Comparing the values of economic, ecological and population indicators in High- and Low-Income Economies

The quest to achieve economic development worldwide has increased carbon dioxide (CO2) emissions, which could vary in high- and low-income economies due differences activities. Using empirical evidence from the panel data for period 1960–2018 obtained World Bank, we investigate impact of population, gross domestic product (GDP), renewable energy on CO2 emissions economies. For that purpose, applied Pesaran cross-sectional dependence test (for dependence), Levin-Lin-Chu unit root Unit roots), Granger causality Wald possibility among variables), fixed-effects random-effects regressions. We established GDP consumption considerably influence emissions. Results test, regressions clearly demonstrated growth population directly correlates with economies, while an indirect correlation. While there are no terms directions, revealed magnitude is greater than high-income Thus, reduce policy makers should promote low emission activities implement control measures.