Cao Lingling
Suqian University, Jiangsu, 223800, Suqian, China.
China University of Mining and Technology, Jiangsu, 221116, Xuzhou, China.
Environ Sci Pollut Res Int. 2023 Jan;30(2):3307-3320. doi: 10.1007/s11356-022-22365-6. Epub 2022 Aug 10.
The present study examines the effects of green finance on green economic performance index in the presence of income per capita, corporate social responsibilities, green energy, and technical innovations in emerging seven (E7) countries from 2005 to 2018. This study employed second-generation panel cointegration methodologies. The result of the cross-sectional dependency and slope heterogeneity test confirms that the panels are correlated and there exists slope heterogeneity. The results for the short- and long-run confirm the relationship between green economic performance index, green finance, GDPC, technological innovation, CSR, and green energy. In both the short- and long-run, green finance, technological innovation, and CSR decrease the carbon emissions and increase green economic growth, whereas income per capita and GDPC significantly increase the carbon emissions. The robustness check findings obtained D-H panel causality test validate the results. Reducing energy usage by adopting efficient technologies should be encouraged through green financing reforms implemented by policymakers.
本研究考察了2005年至2018年期间，在新兴七国（E7）存在人均收入、企业社会责任、绿色能源和技术创新的情况下，绿色金融对绿色经济绩效指数的影响。本研究采用了第二代面板协整方法。横截面依赖性和斜率异质性检验的结果证实，面板之间存在相关性且存在斜率异质性。短期和长期结果证实了绿色经济绩效指数、绿色金融、国内生产总值、技术创新、企业社会责任和绿色能源之间的关系。在短期和长期内，绿色金融、技术创新和企业社会责任都能减少碳排放并促进绿色经济增长，而人均收入和国内生产总值则显著增加碳排放。通过迪基-富勒面板因果检验获得的稳健性检验结果验证了这些结果。政策制定者应通过实施绿色融资改革，鼓励采用高效技术减少能源使用。
