期刊
ENERGY
卷 200, 期 -, 页码 -出版社
PERGAMON-ELSEVIER SCIENCE LTD
DOI: 10.1016/j.energy.2020.117523
关键词
Financial development index; CO2 emissions; Principal component analysis; Chinese province
资金
- National Social Science Fund of China [17BJL043]
- Major Theoretical and Practical Research Projects of Social Sciences in Shaanxi Province [2019Z088]
- Soft Science Research Program of Shaanxi Province [2019KRM157]
As the greatest CO2 emitter, downgrading the CO2 emissions in China is urgent. The main purpose of this study is to explore the relation of financial development to CO2 emissions at the provincial level in China by static and dynamic analysis, which is rarely investigated. The Principal Component Analysis is applied to avoid the indicator correlation problem that usually exited in prior studies, and generate a provincial financial development index in China since 2001. Through the static panel analysis, it is found that one standard increment in provincial financial development level will reduce CO2 emissions by 4%-5% on average, nevertheless, it increases the CO2 emissions of Zhejiang, Fujian, Sichuan, Yunnan, Shaanxi and Xinjiang. In the long term, it exists that the two-way causality between regional financial development and CO2 emissions, whereas it's not true for the short term. The dynamic analysis results demonstrate that the regional financial development has significantly lagged inhibitory effects on CO2 emissions. Examining the effects of financial development on CO2 emissions at reginal level in China yields strong recommendation that China should put far focus on developing her financial sector, and also may provide some references for the provincial policymaker regarding CO2 emissions reduction. (C) 2020 Elsevier Ltd. All rights reserved.
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