The effects of international tourism, electricity consumption, and economic growth on CO2 emissions in North Africa

This study examines the influence of tourism, economic growth, and electricity consumption on carbon dioxide (CO2) emission in the presence of the Environmental Kuznets Curve (EKC) model for a panel of four countries of North Africa, namely, Morocco, Algeria, Tunisia, and Egypt, over the period 1980-2014. Since we find the existence of cross-sectional dependence, we apply the unit root tests of CIPS and CADF, the Westerlund cointegration test as well as the dynamic seemingly unrelated regression (DSUR), and the Dumitrescu-Hurlin Granger causality test. The empirical results show that electricity consumption has a positive effect on CO2 emissions. In contrast, tourism has a negative relationship with CO2 emissions, implying improvement in the quality of the environment. The conclusions confirm the hypothesis of the environmental Kuznets curve for the countries in our sample. In addition, the causality test indicates the following results: (i) a one-way causality from real income, electricity consumption, and tourism to carbon emissions. (ii) A one-way causality running from electricity consumption to real income and tourist arrivals. (iii) A two-way causality between real income and tourism development. Based on these empirical results, several policy recommendations are proposed for the four countries of North Africa.

Biomass energy production and its impacts on the ecological footprint: An investigation of the G7 countries

In recent years, the impacts of biomass energy consumption on the environment have attracted the attention of policymakers and scholars. Although empirical studies have been conducted on this topic, the relationship between biomass energy production and the ecological footprint has been overlooked in the literature. This study seeks to fill this gap by investigating the effects of biomass energy production on the ecological footprint of the G7 countries for the period 1980-2016. For this purpose, we use a set of methods, that help overcome the problem of cross-sectional dependence in panel data analysis. The findings from dynamic seemingly unrelated regression (DSUR) estimation show that biomass energy production increases the ecological footprint of the G7 countries. Meanwhile, a Dumitrescu-Hurlin causality test provides evidence that unidirectional causality runs from biomass energy production to the ecological footprint. Based on these empirical results, several policy recommendations are proposed for the G7 countries.