The objective of this study is to analyze the effects of oil rent on economic development in Congo over a period from 1987 to 2016. Following the estimation of the Vector Error Correction Model (VECM), the result shows that the dependence on oil rent negatively affects the development of Congo. The poor performance of growth and development in the Congo is mainly linked to the deterioration of governance and the generalization of corruption. This result allows us to formulate an economic policy implication that focuses on the sustainable management of oil resources with future generations in mind and by investing in the diversification of the country's economic activities. This would help eradicate poverty and improve the standard of living of the population.

The purpose of this study is to highlight the effects of governance indicators on the growth of CAEMC countries' economies. The analysis conducted using panel data econometrics, in accordance with the generalized method of moments, over a period from 2002 to 2015, showed that corruption, bureaucratic quality and political instability negatively influence the growth of CAEMC countries' economies. In contrast, regulatory quality, rule of law, and citizen voice and accountability had a positive impact on the growth of CAEMC economies. These results have given rise to economic policy implications.

The objective of this study is to analyze the effect of temperature variations on agricultural yield in the Republic of Congo over a period from 1990 to 2020. Following the estimation of the ARDL model, the results of the estimation, in the short run, confirmed the hypothesis of a negative and significant relationship between temperature rising and agricultural yield in the Republic of Congo. In the long run, these effects subside overtime, and subsequently improve agricultural yields. These results allowed us to formulate economic policy implications for sustainable agriculture, adapted to climate change, and climate change mitigation.

The objective of this study is to analyze the effects of trade openness on economic growth in the Republic of Congo over a period from 1986 to 2016. Following the estimation of the Vector Error Correction Model (VECM), the result shows that in the short and long term, trade openness negatively affects economic growth in Congo. That means, the Congo does not benefit from the trade openness policy. This result is explained by the strong dependence of the Congolese economy on exports of raw materials (natural resources). This result has given rise to economic policy implications.