文献类型：期刊文献

英文题名：Race to environmental sustainability: Can renewable energy consumption and technological innovation sustain the strides for China?

作者：Xie, Qiaoyan[1];Adebayo, Tomiwa Sunday[2];Irfan, Muhammad[3,4,5];Altuntas, Mehmet[6]

通讯作者：Irfan, M[1]

机构：[1]Henan Univ Econ & Law, Sch Finance, Zhengzhou 450046, Peoples R China;[2]Cyprus Int Univ, Fac Econ & Adm Sci, Dept Econ, Mersin 10, Haspolat, Turkey;[3]Beijing Inst Technol, Sch Management & Econ, Beijing 100081, Peoples R China;[4]Beijing Inst Technol, Ctr Energy & Environm Policy Res, Beijing 100081, Peoples R China;[5]ILMA Univ, Dept Business Adm, Karachi 75190, Pakistan;[6]Nisantasi Univ, Fac Econ Adm & Social Sci, Dept Business Adm, Istanbul, Turkey

第一机构：河南财经政法大学金融学院

通讯机构：[1]corresponding author), Beijing Inst Technol, Sch Management & Econ, Beijing 100081, Peoples R China.

年份：2022

卷号：197

起止页码：320-330

外文期刊名：RENEWABLE ENERGY

收录：;EI(收录号：20223412589933);Scopus(收录号：2-s2.0-85135956010);WOS:【SCI-EXPANDED(收录号:WOS:000880597200004)】；

基金：This research was funded by the key research project of Henan University of Economics and Law in 2021: Exploring the implementation path of credit literacy cultivation to finance small and mediumsized technology-based enterprises from the perspective of block chain.

语种：英文

外文关键词：CO2 emissions' structural change; Technological innovation; Renewable energy use

摘要：Several Asian nations, including China, are experiencing issues with achieving the Sustainable Development Goals (SDGs) targets. Consequently, this research discusses the design of an SDG agenda for China that can be utilized as a model for other Asian nations. Accordingly, we scrutinize the effect of technological innovation and renewable energy on CO2 in China. The study also incorporates other CO2 drivers such as economic growth and structural change into the framework. The current research employed a dataset covering the period from 1985 to 2019. Furthermore, we utilized autoregressive distributed lag (ARDL) to capture the associations between CO2 emissions and the exogenous variables. In addition, we employed the gradual shift causality test to identify the causal interconnection. This technique can capture smooth or gradual changes and does not require prior knowledge of the dates, number, or form of a break (s). The outcomes from the ARDL disclosed that 1% increases in structural change and economic growth cause CO2 to increase by 1.600% and 0.819%, respectively, while 1% increases in renewable and technological innovation lessen CO2 by 0.688% and 0.090%, respectively. Moreover, the EKC hypothesis is supported. Moreover, the combined effect of renewable energy and innovation demonstrates that innovation enhances environmental quality by regulating the interrelationship between renewable energy and CO2. Lastly, the gradual shift causality test disclosed that CO2 emissions could be predicted by the exogenous variables. Based on these results, policy recommendations are proposed.