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This study analyses the cointegration and the causal relationship between energy consumption, economic growth and carbon emissions, using aggregate and disaggregate measures of energy consumption for Algeria, Egypt and South Africa over the period 1971-2015. Based on the ARDL, our results show that aggregate energy consumption and economic growth have positive and significant impacts on carbon dioxide (CO 2) both in the long and short run in those countries. At the disaggregated level, the main energy-related drives of carbon emissions are oil, electricity and coal consumption in Algeria, Egypt and South Africa, respectively. In addition, the implementation of the Toda-Yamamoto test for causality reveals the existence of several types of relationship between CO 2 emissions, economic growth and energy consumption.

The objective of this paper is to decompose the effects of economic growth on carbon emissions into scale, composition and technique effects in a panel of 23 Sub-Saharan African countries between 1996 and 2014. We combine static and dynamic panel estimation technique to quantile regression technique in order to bring out a detailed description of the relationship between carbon emissions and its determinants at different levels of carbon dioxide emissions. The results from static and dynamic estimations reveal that the expansion in the scale and the composition of the economy increase carbon emissions, while improvements in the technology are sufficient to reduce carbon emissions. However, quantile regressions indicate that these three effects are heterogeneously distributed across the dioxide carbon emission levels, and the scale effect holds only at the lower quantiles. The results also indicate that financial development, the size of population and the exports (as a percentage of GDP) have a positive effect on carbon emission, while imports (as a percentage of Gross Domestic Product) reduce it.

The objective of this work was to analyse the effects of environmental quality and environmental regulations on the exports of sub‐Saharan African countries. Adopting the pollution haven hypothesis as a theoretical framework, we use a gravity model enriched by environmental variables. Our main results indicate that it is the environmental quality of sub‐Saharan African (SSA) countries, as measured by the Environmental Performance Index, and the differences in environmental quality between a country and its partner that constitute a barrier to SSA exports. It therefore appears important for SSA countries to integrate the environmental factor into their policies to improve the competitiveness of their exports.