School of Economics and Management, China University of Petroleum-Beijing, No. 18 Xuefu Road, Changping District, Beijing 102249, China.
Business School, Central South University, Changsha, Hunan 410083, China; Southampton Statistical Sciences Research Institute, University of Southampton, Southampton SO17 1BJ, United Kingdom.
Sci Total Environ. 2020 May 20;718:137379. doi: 10.1016/j.scitotenv.2020.137379. Epub 2020 Feb 18.
In order to provide flexible and comprehensive results about the relationship between globalization and CO emissions for the G7 countries, we introduce the KOF globalization index into traditional Stochastic Impacts by Regression on Population, Affluence and Technology model, and conduct the empirical analysis by applying a semi-parametric panel fixed effects model. The data covering the period of 1970-2015 consists of CO emissions, KOF globalization index, renewable energy consumption and GDP. Our results indicate that the relationship between globalization and CO emissions are inverted U-sharped, which strongly support the Environmental Kuznets Curve hypothesis. Furthermore, an increase of economic output is associated with statistically significant growth in CO emissions. On the contrary, an increment of renewable energy consumption lowers CO emissions. Related policy proposals are then offered according to our empirical results.
为了提供关于 G7 国家全球化和 CO2 排放之间关系的灵活和全面的结果，我们将 KOF 全球化指数引入传统的基于人口、富裕程度和技术的随机影响回归模型，并通过应用半参数面板固定效应模型进行实证分析。数据涵盖 1970 年至 2015 年期间，包括 CO2 排放、KOF 全球化指数、可再生能源消费和 GDP。我们的结果表明，全球化与 CO2 排放之间的关系呈倒 U 形，这强烈支持环境库兹涅茨曲线假说。此外，经济产出的增加与 CO2 排放的统计显著增长相关。相反，可再生能源消费的增加会降低 CO2 排放。根据我们的实证结果，提出了相关的政策建议。
