School of Management Science & Engineering, Shanxi University of Finance & Economics, 696 Wucheng Road, Xiaodian, Taiyuan, Shanxi Province 030006, China.
School of Mathematical Sciences, University of Southampton, Southampton SO17 1BJ, UK.
Sci Total Environ. 2019 Jun 10;668:1328-1338. doi: 10.1016/j.scitotenv.2019.02.063. Epub 2019 Feb 10.
The study explores the impacts of renewable energy, environmental patents, economic growth and other variables on the CO emission per capita from 2000 to 2013 for the BRIICS countries. Using both the panel OLS methods and panel quantile regression method, we find that the effects of the determinant variables are heterogeneous across quantiles. Specifically, renewable energy supply reduces CO emissions per capita, with the strongest effect at the 95th quantile. Development of environmental patents accelerates carbon emissions per capita, but only significantly affects the CO emissions per capita at the upper tail of the conditional distribution. GDP per capita enhances CO emissions per capita, with the most substantial effect in the 5th quantile. Exports increase carbon emissions per capita with an asymmetric inverted U-sharped impact. Foreign direct investment reduces carbon emissions per capita, but only significantly influences the carbon emissions per capita at the medium and upper of the conditional distribution. Domestic credit to private sectors raises carbon emissions per capita with gradually decreasing impacts along all quantiles. We propose several policy recommendations based on the results.
这项研究探讨了 2000 年至 2013 年期间,可再生能源、环境专利、经济增长和其他变量对“金砖五国”人均 CO2 排放的影响。利用面板 OLS 方法和面板分位数回归方法,我们发现决定因素变量的影响在分位数之间存在异质性。具体来说,可再生能源供应减少了人均 CO2 排放,在第 95 分位数的影响最大。环境专利的发展加速了人均碳排放量,但仅在条件分布的上尾对人均 CO2 排放有显著影响。人均 GDP 提高了人均 CO2 排放,在第 5 分位数的影响最大。出口增加了人均碳排放量,具有非对称的倒 U 形影响。外国直接投资减少了人均 CO2 排放,但仅在条件分布的中、上部分对人均 CO2 排放有显著影响。私人部门国内信贷增加了人均碳排放量,其影响在所有分位数上逐渐减小。根据研究结果,我们提出了一些政策建议。