Does Low-Carbon City Construction Improve Total Factor Productivity? Evidence from a Quasi-Natural Experiment in China

全要素生产率 技术进步 可持续发展 面板数据 生产力 中国 稳健性(进化) 比例(比率) 技术变革 技术变更 环境经济学 经济 自然资源经济学 业务 经济增长 地理 计量经济学 化学 法学 考古 宏观经济学 基因 地图学 生物化学 政治学
作者
Hongfeng Zhang,Lu Huang,Yan Zhu,Hongyun Si,Xu He
出处
期刊:International Journal of Environmental Research and Public Health [Multidisciplinary Digital Publishing Institute]
卷期号:18 (22): 11974-11974 被引量:8
标识
DOI:10.3390/ijerph182211974
摘要

Low-carbon city construction (LCC) is an important strategy for countries desiring to improve environmental quality, realize cleaner production, and achieve sustainable development. Low-carbon cities have attracted widespread attention for their attempts to coordinate the relationship between environmental protection and economic development. Using the panel data from 2006 to 2017 of prefecture-level cities in China, this study applied the difference-in-differences (DID) method to analyze the effects of LCC on the total factor productivity (TFP) of the cities and its possible transmission mechanism. The results show significantly positive effects on TFP, but the effects on each component of TFP are different. Although the LCC has promoted technical progress and scale efficiency, it has inhibited technical efficiency. The accuracy of the results has been confirmed by several robustness tests. Mechanism analysis showed that the pilot policy of low-carbon cities has promoted technical progress and scale efficiency by technological innovation and the upgrading of industrial structure, but resource mismatches among enterprises have been the main reason for reduced technical efficiency. Regional heterogeneity analysis showed that the effects on TFP in the eastern region have been more significant than in the central and western regions. In the eastern region, they have promoted technical progress, while in the central and western regions, they have promoted technical progress and scale efficiency but hindered technical efficiency. This paper presents our findings for the effects of LCC on economic development and provides insightful policy implications for the improvement of technical efficiency in low-carbon cities.

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
苏白衣完成签到,获得积分10
1秒前
wurao完成签到,获得积分10
1秒前
温暖白凡发布了新的文献求助20
2秒前
2秒前
2秒前
2秒前
lynwen完成签到,获得积分10
2秒前
东方元语应助KEFE采纳,获得20
2秒前
2秒前
陌年完成签到,获得积分10
3秒前
3秒前
3秒前
优美的书雪完成签到,获得积分10
4秒前
JamesPei应助王星采纳,获得10
4秒前
hsw发布了新的文献求助20
5秒前
dde发布了新的文献求助10
5秒前
sillage完成签到,获得积分10
5秒前
5秒前
张世玉发布了新的文献求助10
5秒前
5秒前
一YI发布了新的文献求助10
6秒前
15发布了新的文献求助10
6秒前
dde发布了新的文献求助10
7秒前
XXRT关注了科研通微信公众号
7秒前
欧气青年发布了新的文献求助10
7秒前
胡明月发布了新的文献求助10
8秒前
巫雍发布了新的文献求助20
8秒前
青衣北风发布了新的文献求助10
8秒前
微笑博超发布了新的文献求助10
8秒前
8秒前
ybb完成签到,获得积分10
9秒前
9秒前
10秒前
10秒前
儒雅寄云发布了新的文献求助10
10秒前
Moudexiao完成签到 ,获得积分10
10秒前
那年那兔那些事完成签到,获得积分10
11秒前
11秒前
12秒前
爆米花应助空降兵小金采纳,获得10
12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
Römisch-Germanische Forschungen 1000
China Pluperfect I: Epistemology of Past and Outside in Chinese Art 520
Matrix Methods in Data Mining and Pattern Recognition Second Edition 510
The fast track to determining transfer functions of linear circuits: The student guide 500
The Analytical and Numerical Solution of Electric and Magnetic Fields 500
Green Fire Retardants for Polymeric Materials 400
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 7616471
求助须知:如何正确求助?哪些是违规求助? 9191914
关于积分的说明 19698118
捐赠科研通 7189101
什么是DOI,文献DOI怎么找? 3271783
关于科研通互助平台的介绍 2434652
邀请新用户注册赠送积分活动 2266833