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This paper seeks to understand if education can be an effective tool in achieving gender equality in labour force participation in Cameroon. For this purpose, the multinomial and binary logit models are estimated. The paper accounts for the potential endogeneity of education in the equation of labour force participation by using the instrumental variables approach. Data used are data on employment and the informal sector obtained from the National Institute of Statistics in Cameroon. The findings shed light on the negative impact of being a woman on the probability of getting a job. They also show that education and the interaction term between gender and education has a positive and statistically significant impact on the probability of working in the public and the formal private sectors. These results suggest that education yields a premium skill which offsets the negative effect of being a woman.

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.