Does energy consumption, economic growth, urbanization, and population growth influence carbon emissions in the BRICS? Evidence from panel models robust to cross-sectional dependence and slope heterogeneity.

Autor: Chen H; School of Management, Jiangsu University, Zhenjiang, People's Republic of China., Tackie EA; School of Management, Jiangsu University, Zhenjiang, People's Republic of China. tackieevelyna@gmail.com., Ahakwa I; School of Management, Jiangsu University, Zhenjiang, People's Republic of China., Musah M; Department of Accounting, Banking and Finance, Faculty of IT Business, Ghana Communication Technology University, Accra, Ghana., Salakpi A; Department of Management Studies, School of Business and Law, University for Development Studies, Tamale, Ghana., Alfred M; Department of Accounting Studies Education, Akenten Appiah-Menka University of Skills Training and Entrepreneurial Development, Kumasi, Ghana., Atingabili S; School of Management, Jiangsu University, Zhenjiang, People's Republic of China.
Jazyk: angličtina
Zdroj: Environmental science and pollution research international [Environ Sci Pollut Res Int] 2022 May; Vol. 29 (25), pp. 37598-37616. Date of Electronic Publication: 2022 Jan 23.
DOI: 10.1007/s11356-021-17671-4
Abstrakt: This paper examined the nexus between economic growth, energy consumption, urbanization, population growth, and carbon emissions in the BRICS economies from 1990 to 2019. In order to yield valid and reliable outcomes, modern econometric techniques that are vigorous to cross-sectional dependence and slope heterogeneity were employed. From the findings, the studied panel was heterogeneous and cross-sectionally dependent. Also, all the series were first differenced stationary and co-integrated in the long run. The Augmented Mean Group (AMG) and the Common Correlated Effects Mean Group (CCEMG) estimators were employed to estimate the elastic effects of the predictors on the explained variable, and from the output of both estimators, energy consumption worsened environmental quality via high carbon emissions. Also, the AMG estimator affirmed economic growth to be a significantly positive determinant of carbon emissions. However, both estimators confirmed urbanization and population growth as trivial predictors of the emissivities of carbon. On the causal connections amidst the series, there was bidirectional causality between economic growth and carbon emissions, between energy consumption and economic growth, between economic growth and population growth, between energy consumption and urbanization, and between economic growth and urbanization. Lastly, a causation from urbanization to carbon emissions was unfolded. Policy implications are further discussed.
(© 2021. The Author(s), under exclusive licence to Springer-Verlag GmbH Germany, part of Springer Nature.)
Databáze: MEDLINE
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