Analysing the Role of Globalisation in Environmental Degradation of West African Countries: A Method of Moments Quantile Regression Approach

Abstract

Abstract Motivated by the need to achieve a sustainable environment as entrenched in the Sustainable Development Goals and the conflicting evidence in the literature, this study scrutinises the effect of different components of globalisation on the environmental degradation of West African nations within the Environmental Kuznets Curve framework. Fully modified ordinary least squares, dynamic ordinary least squares, and the method of moments quantile regression of Machado and Silva (2019) are deployed as the estimation techniques. In the panel, cross-sectional dependence and non-normality are established. The findings from the quantile regression reveal a significant positive impact of economic growth on environmental degradation. The square of economic growth has an insignificant negative influence on environmental degradation. Thus, the EKC hypothesis is not valid in West African nations. Aggregate globalisation significantly influences environmental degradation, while economic and political globalisation significantly negatively impacts environmental degradation across the quantiles. However, social globalisation negatively impacts environmental degradation at a lower quantile (10–50 %), while at a higher quantile, the impact is positive. Natural resources significantly affect environmental degradation, while energy consumption in the region benefits the environment. Nevertheless, urbanisation has a different impact on environmental degradation in the area. The results of these studies are robust to other methods of estimation. The implications of the study are discussed.