气候变化领域集成服务门户(CCPortal): The asymmetric influence of renewable energy and green innovation on carbon neutrality in China: Analysis from non-linear ARDL model

CCPortal

DOI	10.1016/j.renene.2022.04.159
	The asymmetric influence of renewable energy and green innovation on carbon neutrality in China: Analysis from non-linear ARDL model
	Sun, Yunpeng; Razzaq, Asif; Sun, Huaping; Irfan, Muhammad
发表日期	2022
ISSN	0960-1481
EISSN	1879-0682
起始页码	334
结束页码	343
卷号	193
英文摘要	Adopting green technology and renewable energy is imperative to address climate challenges and realize sustainable development goals. Therefore, this study examines the impact of green innovation and en-ergy consumption on carbon emissions in China from Q1-1990 to Q4-2018. Due to several technological and economic shifts in recent eras, Chinese macro-economic data shows an abnormal distribution, and traditional linear estimators failed to integrate non-linearity. In response, this study employs a non-linear autoregressive distributed lag (NARDL) framework to address non-linearity arising from abnormal data distribution. The overall results reveal that positive shocks in green technology significantly mitigate carbon emissions by 0.262%, while negative shocks increase emissions by 0.104%. Similarly, positive shocks in renewable energy consumption caused a 0.360% reduction in carbon emissions, while negative shocks increased emissions by 0.424%. In contrast, a positive change in non-renewable energy con-sumption leads to 0.139% higher emissions. However, in a negative shock, this effect turns stronger and spurs carbon emissions by 0.246% in the long run. These findings confirm the asymmetricity because positive and negative shocks in regressors distinctly affect carbon emissions in China. Finally, population and economic growth contribute to higher emissions by 0.872% and 0.685% in the long run, respectively. Moreover, the error correction term confirms the long-run steady-state equilibrium convergence by 11.5% in the case of any shock in the short run. These results indicate that the Chinese government should promote green innovation and renewable energy policies based on their asymmetric emissions-reduction effects.(c) 2022 Elsevier Ltd. All rights reserved.
英文关键词	Renewable energy consumption; Green innovation; Carbon emissions; Carbon neutrality; Sustainable environment
语种	英语
WOS研究方向	Green & Sustainable Science & Technology ; Energy & Fuels
WOS类目	Science Citation Index Expanded (SCI-EXPANDED)
WOS记录号	WOS:000804942700008
来源期刊	RENEWABLE ENERGY
文献类型	期刊论文
条目标识符	http://gcip.llas.ac.cn/handle/2XKMVOVA/281069
作者单位	Tianjin University of Commerce; Dalian University of Technology; Jiangsu University; Beijing Institute of Technology; Beijing Institute of Technology
推荐引用方式 GB/T 7714	Sun, Yunpeng,Razzaq, Asif,Sun, Huaping,et al. The asymmetric influence of renewable energy and green innovation on carbon neutrality in China: Analysis from non-linear ARDL model[J],2022,193.
APA	Sun, Yunpeng,Razzaq, Asif,Sun, Huaping,&Irfan, Muhammad.(2022).The asymmetric influence of renewable energy and green innovation on carbon neutrality in China: Analysis from non-linear ARDL model.RENEWABLE ENERGY,193.
MLA	Sun, Yunpeng,et al."The asymmetric influence of renewable energy and green innovation on carbon neutrality in China: Analysis from non-linear ARDL model".RENEWABLE ENERGY 193(2022).