Modelling the connection between energy consumption and carbon emissions in North Africa: Evidence from panel models robust to cross-sectional dependence and slope heterogeneity

Dublin Core

Title

Modelling the connection between energy consumption and carbon emissions in North Africa: Evidence from panel models robust to cross-sectional dependence and slope heterogeneity

Creator

Mohammed Musah, Yusheng Kong, Isaac Adjei Mensah, Stephen Kwadwo Antwi, Agyemang Andrew Osei, Mary Donkor

Description

This paper explored the link between energy consumption and carbon emissions in North Africa through an Environmental Kuznets Curve (EKC) framework. Panel data extracted from the data base of the World Development Indicators (WDI) for the period 1990–2015 were used for the study. In the analytical process, more 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 cointegrated in the long-run. Further, the Augmented Mean Group (AMG) and the Common Correlated Effects Mean Group (CCEMG) estimators affirmed energy consumption as a significantly positive determinant of CO2 emissions. Also, urbanization and foreign direct investments promoted the emanation of CO2 in the …

Publisher

Springer Netherlands

Date

2021

Source

https://scholar.google.com/citations?view_op=view_citation&hl=en&user=-U-tBVYAAAAJ&citation_for_view=-U-tBVYAAAAJ:ULOm3_A8WrAC

Language

English