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Renewable energy as a determinant of inter-country differentials in CO2 emissions in Africa

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  • Njoh, Ambe J.

Abstract

A logarithmically transformed General Linear Model (GLM) is used to analyze secondary data from the following World Bank data bases: Sustainable Energy for All (SE4ALL), Spreadsheets for Carbon Emissions, and Country Development Profile. The hypothesis of renewable energy consumption as a determinant of inter-country differentials in carbon dioxide (CO2) emissions in Africa is tested. CO2 emissions constitute the dependent variable (DV) while renewable energy consumption is the independent variable (IV). Four control variables, including 3 interval variables: level of urbanization, Gross Domestic Product (GDP) per capita, Gross National Product (GNP) per capita; and one binary variable, namely nationality of former colonial power, are included. Energy consumption is found to be inversely linked to CO2 emissions; it explains about 80% (R2 = 0.795, significant at the 0.05 level) of the inter-country differentials in CO2 emissions. These results confirm the study’s expectations and lend credence to findings extolling renewable energy consumption as a means of curbing CO2 emissions in Europe and North America.

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  • Njoh, Ambe J., 2021. "Renewable energy as a determinant of inter-country differentials in CO2 emissions in Africa," Renewable Energy, Elsevier, vol. 172(C), pages 1225-1232.
    • Handle: RePEc:eee:renene:v:172:y:2021:i:c:p:1225-1232
    DOI: 10.1016/j.renene.2021.03.096
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