Towards Sustainable Environment in G7 Nations: The Role of Renewable Energy Consumption, Eco-innovation and Trade Openness

被引:28
作者
Olanrewaju, Victoria Olushola [1 ]
Irfan, Muhammad [2 ,3 ,4 ]
Altuntas, Mehmet [5 ]
Agyekum, Ephraim Bonah [6 ]
Kamel, Salah [7 ]
El-Naggar, Mohamed F. [8 ,9 ]
机构
[1] Cyprus Int Univ, Fac Econ & Adm Sci, Dept Business Adm, Nicosia, Turkey
[2] Beijing Inst Technol, Sch Management & Econ, Beijing, Peoples R China
[3] Beijing Inst Technol, Ctr Energy & Environm Policy Res, Beijing, Peoples R China
[4] ILMA Univ, Dept Business Adm, Karachi, Pakistan
[5] Nisantasi Univ, Fac Econ Adm & Social Sci, Dept Econ, Istanbul, Turkey
[6] Ural Fed Univ, Dept Nucl & Renewable Energy, Ekaterinburg, Russia
[7] Aswan Univ, Fac Engn, Elect Engn Dept, Aswan, Egypt
[8] Prince Sattam Bin Abdulaziz Univ, Coll Engn, Dept Elect Engn, Al Kharj, Saudi Arabia
[9] Helwan Univ, Fac Engn, Dept Elect Power & Machines Engn, Helwan, Egypt
关键词
CO2; emissions; trade openness; eco-innovation; renewable energy consumption; panel quantile regression; TECHNOLOGICAL-INNOVATION; ECONOMIC-GROWTH; CO2; EMISSIONS; URBANIZATION;
D O I
10.3389/fenvs.2022.925822
中图分类号
X [环境科学、安全科学];
学科分类号
08 ; 0830 ;
摘要
Some of the globe's most economically advanced nations make up the G7 (Canada, Japan, France, Germany, Italy, United States and United Kingdom). Nevertheless, in tandem with such strong economic growth, the environmental conditions in these nations have deteriorated, raising serious issues among stakeholders. Therefore, we examine the effect of eco-innovation and trade openness on CO2 emissions in G7 nations. We also take into account the role of renewable energy, economic growth and nonrenewable energy use using a dataset covering the period from 1990-2019. We employed recent econometric techniques such as slope heterogeneity (SH) and cross-sectional dependence (CSD), Westerlund cointegration, fully modified ordinary least square (FMOLS), dynamic ordinary least square (DOLS), panel quantile regression and panel causality tests to assess these associations. The outcomes of the CSD and SH tests disclosed that using a first-generation unit root test will produce biase outcomes. Furthermore, the outcomes of the Westerlund cointegration disclosed support long-run association between CO2 and its drivers. In addition, the results of the long-run estimators (FMOLS and DOLS) unveiled that nonrenewable energy and trade openness contribute to the damage to the environment while economic expansion, renewable energy and eco-innovation enhance the quality of the environment. Furthermore, the outcomes of GDP, REC and ECO curb CO2 while NREC energy and TO surge CO2. Finally, the outcomes of the panel causality test unveiled that CO2 emissions can be predicted by all the exogenous variables.
引用
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页数:9
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