Wind Energy And CO2 Emissions: AMG Estimations For Selected Countries

Abstract This study aims to analyze the relationship between wind energy consumption, coal energy consumption, globalization, economic growth and carbon emissions in a selected country group. This analysis was made with the data of 37 countries for the period 2000-2019. In order to examine the long-term relationship between the variables, the AMG method, which makes an estimation by considering the cross-sectional dependence and slope homogeneity, was used in the study. According to the long-term coefficient estimates of the cointegrated variables, wind energy consumption has a statistically significant and negative effect on carbon emissions in the long run. A 1% increase in wind energy consumption reduces carbon emissions by 0.018%. On the other hand, the globalization variable has a statistically significant and positive effect on carbon emissions in the long run. A 1% increase in globalization increases carbon emissions by 0.107%. These findings show the importance of wind energy consumption in reducing carbon emissions. For this reason, policies should be produced to increase wind energy consumption globally and necessary incentives should be provided.