Sun Yunpeng, Bao Qun, Taghizadeh-Hesary Farhad
School of Economics, Tianjin University of Commerce, Tianjin, China.
School of Economics, Nankai University, Tianjin, China.
Humanit Soc Sci Commun. 2023;10(1):107. doi: 10.1057/s41599-023-01595-0. Epub 2023 Mar 15.
In this study, using data from 2010 to 2021, and by utilizing the stochastic impacts by regression on population, affluence, and technology (STIRPAT) theory, and system generalized method of moments, the effect of green financing and deployment of renewable energy on carbon dioxide emissions in China and its provinces were analyzed. The results show that green financing reduces environmental pollution at the country level. Moreover, with a 1% increase in renewable energy consumption, carbon dioxide emission can be expected to decrease by 0.103%. It also demonstrates that green financing has a statistically significant coefficient only in provinces located in the eastern and western regions. Chinese policymakers should incentive policies for provinces in the eastern region of China in order to have a cleaner environment. The central region should be under supportive and pressure policies to move faster along the path to sustainable development.
在本研究中，利用2010年至2021年的数据，运用随机影响回归人口、富裕程度和技术（STIRPAT）理论以及系统广义矩估计方法，分析了绿色金融和可再生能源部署对中国及其省份二氧化碳排放的影响。结果表明，绿色金融在国家层面减少了环境污染。此外，可再生能源消费每增加1%，预计二氧化碳排放量可减少0.103%。研究还表明，绿色金融仅在东部和西部地区的省份具有统计上显著的系数。中国政策制定者应为中国东部地区的省份制定激励政策，以实现更清洁的环境。中部地区应同时接受支持性政策和压力性政策，以便在可持续发展道路上更快前行。
