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
Unlung完成签到,获得积分10
1秒前
2秒前
2秒前
hktbk完成签到,获得积分10
3秒前
sylvia完成签到,获得积分10
4秒前
优美的衬衫完成签到,获得积分10
4秒前
阿涛发布了新的文献求助10
5秒前
大个应助Liangang采纳,获得10
5秒前
大碗完成签到,获得积分10
6秒前
8秒前
爆米花应助五日芽采纳,获得10
8秒前
NexusExplorer应助五日芽采纳,获得10
8秒前
ding应助xingyecao采纳,获得10
8秒前
10秒前
炙热的书竹完成签到,获得积分10
10秒前
充电宝应助加油采纳,获得10
10秒前
桐桐应助鹿呦采纳,获得10
11秒前
Fanzhea发布了新的文献求助30
13秒前
14秒前
每天都在接AC完成签到,获得积分10
14秒前
chengmin发布了新的文献求助10
14秒前
15秒前
15秒前
梦里发布了新的文献求助10
18秒前
18秒前
18秒前
DJDJDDDJ完成签到,获得积分10
20秒前
心想事成完成签到,获得积分10
21秒前
Kao应助hz采纳,获得10
21秒前
21秒前
虚幻焦发布了新的文献求助10
21秒前
22秒前
chengmin完成签到,获得积分10
22秒前
英勇的怜阳完成签到 ,获得积分10
22秒前
Shuwen完成签到,获得积分10
22秒前
科研通AI6.2应助Rooneyhuhu采纳,获得10
23秒前
科研通AI6.4应助百川采纳,获得10
23秒前
qec发布了新的文献求助10
23秒前
xingyecao发布了新的文献求助10
24秒前
科研通AI2S应助Ealice采纳,获得10
24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
APA handbook of comparative psychology: Basic concepts, methods, neural substrate, and behavior 1000
全员动态考核,锚定高质量发展:读懂同济大学教师人事改革新政的深层价值 900
Health Psychology 800
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
Römisch-Germanische Forschungen 500
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 7594691
求助须知:如何正确求助?哪些是违规求助? 9171587
关于积分的说明 19632352
捐赠科研通 7172147
什么是DOI,文献DOI怎么找? 3267751
关于科研通互助平台的介绍 2432512
邀请新用户注册赠送积分活动 2260657