Akram Rabia, Fareed Zeeshan, Xiaoli Gan, Zulfiqar Bushra, Shahzad Farrukh
Business School, Guilin University of Electronic Technology, Guilin, People's Republic of China.
School of Economics and Management, Huzhou University, Huzhou, Zhejiang, People's Republic of China.
Environ Sci Pollut Res Int. 2022 Jul;29(33):50454-50470. doi: 10.1007/s11356-022-18785-z. Epub 2022 Mar 1.
This study aims to analyze the asymmetric long-run relationship between economic growth (EG), foreign direct investment (FDI), and carbon emissions (CO) within the context of the environmental Kuznets curve (EKC) and the pollution haven hypothesis (PHH) in China. Employing the quarterly data from 1982Q1 to 2018Q4, we have used novel techniques to meet the stated objectives of our study, named quantile ARDL and quantile Granger causality. The study provides novel outcomes using the advanced quantile ARDL and quantile Granger causality tests. The significant implication of this method is that it provides locational asymmetry. We find strong evidence of the EKC and PHH for China based on the empirical results of linear and nonlinear ARDL models. Similarly, findings of quantile Granger causality validate the bidirectional relationship among all variables in upper and lower quantiles. Moreover, the results of the Wald test confirm the asymmetric long-run relationship between FDI and carbon emissions (CO). Thus, legal measures must be enhanced, accepted, rigorously imposed, and monitored in all provinces to assure a further reduction in carbon emissions. This study will be conducive for the policymakers to combat environmental contamination concerning economic growth and FDI inflow in China.
本研究旨在在中国的环境库兹涅茨曲线(EKC)和污染避难所假说(PHH)背景下,分析经济增长(EG)、外国直接投资(FDI)和碳排放(CO)之间的非对称长期关系。利用1982年第一季度至2018年第四季度的季度数据,我们采用了名为分位数自回归分布滞后(quantile ARDL)和分位数格兰杰因果检验(quantile Granger causality)的新技术来实现本研究设定的目标。该研究使用先进的分位数自回归分布滞后和分位数格兰杰因果检验得出了新颖的结果。这种方法的重要意义在于它提供了区位不对称性。基于线性和非线性自回归分布滞后模型的实证结果,我们发现了中国存在环境库兹涅茨曲线和污染避难所假说的有力证据。同样,分位数格兰杰因果检验的结果验证了所有变量在高分位数和低分位数中的双向关系。此外,沃尔德检验(Wald test)的结果证实了外国直接投资与碳排放(CO)之间的非对称长期关系。因此,必须在所有省份加强、接受、严格执行和监督法律措施,以确保进一步减少碳排放。本研究将有助于政策制定者应对中国经济增长和外国直接投资流入带来的环境污染问题。