Liu Chen, Ni Chaojun, Sharma Paritosh, Jain Vipin, Chawla Chanchal, Shabbir Malik Shahzad, Tabash Mosab I
School of Accounting, Wuhan College, Hubei, Wuhan, 430212, China.
School of Economics and Management, Shihezi University, 832000, Shihezi, Xinjiang, China.
Environ Sci Pollut Res Int. 2022 Sep;29(45):67504-67512. doi: 10.1007/s11356-022-22040-w. Epub 2022 Aug 2.
This study examines the association among the green energy production (GEP), green technological innovation (GTI), and green international trade (GIT) on the ecological footprints (EFP). In addition, this research applies fully modified least square (FMOLS) to estimate the empirical outcomes, while dynamic least square (DOLS) is used to check the robustness of the outcomes. Although, the selection of the assessment technique depends on the order of integration of the selected series. Before estimation, some diagnostic tests are also performed to ensure the reliability of the data set. Furthermore, the empirical outcomes of the present analysis are twofold: at begin, this research discovered a negative relationship between GEP and EFP. Secondly, this research reveals that GTI has also an adverse impact on EFP along with GIT, which is unsurprising. Results imply that advancement in green technological innovations tends to improve the EQ by reducing the level of EFP.
本研究考察了绿色能源生产（GEP）、绿色技术创新（GTI）和绿色国际贸易（GIT）与生态足迹（EFP）之间的关联。此外，本研究应用完全修正最小二乘法（FMOLS）来估计实证结果，同时使用动态最小二乘法（DOLS）来检验结果的稳健性。不过，评估技术的选择取决于所选序列的积分阶数。在估计之前，还进行了一些诊断测试以确保数据集的可靠性。此外，本分析的实证结果有两方面：首先，本研究发现GEP与EFP之间存在负相关关系。其次，本研究表明GTI以及GIT对EFP也有不利影响，这并不奇怪。结果意味着绿色技术创新的进步往往通过降低EFP水平来改善环境质量。
