可再生能源
分布滞后
可持续发展
经济
中国
计量经济模型
自然资源经济学
气候变化
新兴市场
经济
业务
政治学
宏观经济学
工程类
生态学
法学
电气工程
计量经济学
生物
作者
Xiaoxiao Zhou,Mengyu Jia,Mehmet Altuntaş,Derviş Kırıkkaleli,Muzzammil Hussain
标识
DOI:10.1016/j.jenvman.2022.115019
摘要
The United Nations' "Sustainable Development Goals" (SDGs) express attention to climate action. Even though a considerable number of papers have targeted this issue, the literature on the top five, "China, India, Japan, Russia, and the United States" economies is uncommon. Therefore, this paper is targeted to examine the influence of renewable energy (RE), environmental technologies (ETs), and economic policy uncertainty (EPU) on carbon emissions. By using the most recent data available from 1992 to 2020, results are estimated with robust econometric techniques, i. e. "cross-sectionally augmented autoregressive distributed lag (CS-ARDL) and augmented mean group (AMG)". Findings reflect the harmful role of EPU. However, RE and ETs have a supportive role in the transition towards a sustainable environment. The findings are also strong in terms of policy implications for the top five polluters.
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