School of Economics and Management, Northeast Normal University, Changchun, Jilin, China.
School of Mathematics and Statistics, Key laboratory for Applied Statistics of MOE (KLAS), Northeast Normal University, Changchun, Jilin, China.
Environ Sci Pollut Res Int. 2021 Feb;28(5):5271-5282. doi: 10.1007/s11356-020-10823-y. Epub 2020 Sep 22.
This study utilized the Pooled Mean Group estimator to investigate the effect of renewable energy consumption, electricity consumption, economic growth, institutional quality, and globalization on carbon dioxide emission with an updated dataset for 10 economies for the time period from 1985 to 2018. Results of Harris-Tzavalis's test and Levin-Lin-Chu's test show that the utilized regressand and regressors are stationary at I(0) and I(I) that conform that the pooled mean group estimator panel ARDL can be utilized. Results of Kao and Pedroni cointegration tests show that cointegration exists amongst the variables. Empirical results of pooled mean group (PMG) revealed that renewable energy consumption helps to diminish the environmental degradation while foreign direct investment, electricity consumption, and economic growth and institutional quality positively affect the degradation of the environment. The findings show that globalization in the long run adversely and significantly influences the environmental degradation; globalization reduces the environmental degradation in the long run while in the short run, globalization positively and significantly influences the environmental degradation. Results of the panel VAR and VECM model indicate electricity consumption and institutional quality, and globalization positively affects environmental degradation. Further policies are recommended based on the findings.
本研究利用 Pooled Mean Group 估计器，以更新的数据集，针对 1985 年至 2018 年的 10 个经济体，考察了可再生能源消费、电力消费、经济增长、制度质量和全球化对二氧化碳排放的影响。Harris-Tzavalis 检验和 Levin-Lin-Chu 检验的结果表明，所用的因变量和自变量在 I(0)和 I(I)上是平稳的，这符合可以使用 Pooled Mean Group 估计器面板 ARDL 的条件。Kao 和 Pedroni 协整检验的结果表明，变量之间存在协整关系。Pooled Mean Group (PMG) 的实证结果表明，可再生能源消费有助于减少环境恶化，而外国直接投资、电力消费、经济增长和制度质量则对环境恶化产生积极影响。研究结果表明，从长期来看，全球化对环境恶化有不利的显著影响；从长期来看，全球化减少了环境恶化，而在短期内，全球化对环境恶化有积极和显著的影响。面板 VAR 和 VECM 模型的结果表明，电力消费、制度质量和全球化对环境恶化有积极影响。根据研究结果，我们提出了进一步的政策建议。
