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    This study analyzes the relationship between wind energy consumption, coal energy consumption, globalization, economic growth, and carbon emissions. Data from 37 countries for the period 2000-2019 are included in the analysis. To examine the long-term relationship between the variables, the AMG method, which considers the cross-section dependence and slope homogeneity, was used. 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. For example, a 1% increase in wind energy consumption reduces carbon emissions by 0.018%. On the other hand, the variable of globalization 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. © 2021. The Author(s), under exclusive licence to Springer-Verlag GmbH Germany, part of Springer Nature.


    Taner Güney, Emrah Üstündağ. Wind energy and CO2 emissions: AMG estimations for selected countries. Environmental science and pollution research international. 2022 Mar;29(15):21303-21313

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    PMID: 34755297

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