发射强度
背景(考古学)
温室气体
面板数据
能量强度
匹配(统计)
碳纤维
分位数回归
强度(物理)
气候变化
分位数
减缓气候变化
自然资源经济学
环境经济学
经济
计量经济学
高效能源利用
计算机科学
数学
化学
工程类
物理
生态学
地理
电气工程
统计
离子
复合数
生物
量子力学
考古
算法
有机化学
标识
DOI:10.1016/j.jclepro.2023.140103
摘要
Although the carbon reduction role of green finance has been highlighted in the context of global warming, discussions on green finance have primarily focused on size rather than structure. Based on Chinese panel data from 2008 to 2019, this paper distinguishes itself by investigating the relationship between green financial structures and carbon emission intensity from a structural matching perspective using the two-way fixed effect model, system generalized method of moments model, quantile regression, and the mediating effect model. Our findings indicate that a green financial structure can lower overall carbon emission intensity and that an inverted U-shaped carbon emission mitigation effect results from a green financial structure. Additionally, green financial structures alleviate carbon emission intensity by facilitating the development of energy technology. Furthermore, greater degrees of finance-technology matching effectively lower carbon emission intensity. These findings provide lessons for countries striving to construct comprehensive and reasonable green financial systems to address climate change.
科研通智能强力驱动
Strongly Powered by AbleSci AI