The impact of green finance on green economy development efficiency: based on panel data of 30 provinces in China

作者
Donglan Liu,Yingxian Chang,Honglei Yao,Yuxin Kang
出处
期刊:Frontiers in Environmental Science [Frontiers Media]
卷期号:11 被引量:12
标识
DOI:10.3389/fenvs.2023.1328914
摘要

Within the framework of China’s socioeconomic transition from a phase of rapid growth to one of high-quality development, it becomes crucial to focus on advancing the green economy to sustain economic progress. Green finance plays a pivotal role in underpinning green industries and fostering the progression of a green economy. Under the auspices of green finance, social capital is increasingly directed towards industries that prioritize energy efficiency, low carbon emissions, and environmental friendliness, thereby spurring technological innovation and industrial metamorphosis in businesses. In this paper, data envelopment approach (DEA) is used to measure the green economic development efficiency of 30 Chinese provinces from 2008 to 2018 in general and by sub-region. The two-way fixed-effects model (Two-way FE) and difference-in-difference (DID) model are established to empirically analyze the effect of green finance on green economy development efficiency and the influence of green polices on these two, with sub-region models examining the heterogeneity of this impact in eastern, western and central regions. The findings suggest that green finance significantly enhances a positive influence on green economic development efficiency, albeit with regional variations. Furthermore, the implementation of green policies facilitates green finance and green economic development.

科研通智能强力驱动
Strongly Powered by AbleSci AI
科研通是完全免费的文献互助平台,具备全网最快的应助速度,最高的求助完成率。 对每一个文献求助,科研通都将尽心尽力,给求助人一个满意的交代。
实时播报
宁融发布了新的文献求助10
刚刚
光亮青柏发布了新的文献求助10
1秒前
有人就有恩怨完成签到,获得积分10
1秒前
顺其自然_666888完成签到,获得积分10
1秒前
orixero应助朱望舒采纳,获得10
2秒前
3秒前
3秒前
小静发布了新的文献求助30
4秒前
小二郎应助aaa采纳,获得10
6秒前
柒月完成签到 ,获得积分10
6秒前
A12345678完成签到,获得积分10
7秒前
星辰大海应助waerteyang采纳,获得10
7秒前
11发布了新的文献求助10
9秒前
jananie完成签到,获得积分10
11秒前
大个应助aaaaaa采纳,获得10
11秒前
lulu发布了新的文献求助10
12秒前
田様应助mouhao1采纳,获得10
12秒前
大模型应助SolvingW采纳,获得10
13秒前
13秒前
飞奔的小田完成签到,获得积分10
14秒前
young完成签到,获得积分10
16秒前
宝宝贝贝发布了新的文献求助10
17秒前
平淡煎饼完成签到 ,获得积分10
19秒前
19秒前
仁爱听露完成签到,获得积分10
20秒前
脑洞疼应助Fancy采纳,获得10
20秒前
20秒前
Ava应助成成采纳,获得10
20秒前
21秒前
大模型应助abq采纳,获得10
22秒前
汉堡包应助hh采纳,获得10
25秒前
yzy应助做梦采纳,获得10
27秒前
28秒前
zhou发布了新的文献求助10
28秒前
28秒前
29秒前
molihuakai应助林翔翔采纳,获得10
29秒前
30秒前
30秒前
看看完成签到,获得积分20
30秒前
高分求助中
(应助此贴封号)【重要!!请各用户(尤其是新用户)详细阅读】【科研通的精品贴汇总】 10000
Matrix Methods in Data Mining and Pattern Recognition Second Edition 510
Discerning Saints: Moralization of Intrinsic Motivation and Selective Prosociality at Work 500
Handbuch Trainingswissenschaft – Trainingslehre 500
Additive Manufacturing Design and Applications (ASM Handbook, Volume 24A) 500
Variations: A More Diverse Picture of Contemporary Art 400
Induction Heating and Heat Treatment (ASM Handbook, Volume 4C) 300
热门求助领域 (近24小时)
化学 材料科学 医学 生物 纳米技术 工程类 有机化学 化学工程 生物化学 计算机科学 内科学 物理 复合材料 催化作用 细胞生物学 无机化学 光电子学 物理化学 电极 基因
热门帖子
关注 科研通微信公众号,转发送积分 7588779
求助须知:如何正确求助?哪些是违规求助? 9166887
关于积分的说明 19620365
捐赠科研通 7168655
什么是DOI,文献DOI怎么找? 3267087
关于科研通互助平台的介绍 2432018
邀请新用户注册赠送积分活动 2259146