数字赋能与城市碳排放——基于下一代互联网示范城市的准自然试验

doi:10.12006/j.issn.1673-1719.2021.245

气候变化研究进展 ›› 2022, Vol. 18 ›› Issue (4): 503-508.doi: 10.12006/j.issn.1673-1719.2021.245

数字赋能与城市碳排放——基于下一代互联网示范城市的准自然试验

宝哲¹(), 周小亮²^,³()

1 福州大学经济与管理学院,福州 350108
2 福州大学创新与高质量发展研究中心,福州 350108
3 三亚学院数字经济学院,三亚 572000

收稿日期:2021-10-15 修回日期:2021-11-15 出版日期:2022-07-30 发布日期:2022-02-14
通讯作者: 周小亮
作者简介:宝哲,男,博士研究生, nxzhebao@126.com
基金资助:
福建省以马克思主义为指导的哲学社会科学学科基础理论研究基地重大项目“高质量发展的理论阐述与实践路径研究”(FJ2020MJD2015)

Digital empowerment and urban carbon emissions: a quasi-natural experiment based on next-generation internet demonstration cities

BAO Zhe¹(), ZHOU Xiao-Liang²^,³()

1 School of Economics and Management, Fuzhou University, Fuzhou 350108, China
2 Innovation and High Quality Development Research Center, Fuzhou University, Fuzhou 350108, China
3 School of Digital Economics, Sanya University, Sanya 572000, China

Received:2021-10-15 Revised:2021-11-15 Online:2022-07-30 Published:2022-02-14
Contact: ZHOU Xiao-Liang

摘要/Abstract

摘要：

研究基于2009—2017年中国268个地级市面板数据,将下一代互联网示范城市政策视为准自然实验,利用双重差分模型（DID）实证检验了下一代互联网示范城市政策对城市碳排放的影响。结果表明：下一代互联网示范城市政策对城市碳排放具有缓解作用,可使城市碳排放减少1.41%,该结论在经过稳健性检验后依然成立;在机制分析中得出,下一代互联网示范城市政策主要通过产业结构优化和绿色技术创新的方式缓解城市碳排放;进一步异质性检验表明,下一代互联网示范城市的建设对大型城市和高碳排放量城市的减排效果更加显著,对中小型城市则表现出加剧碳排放的现象。

关键词: 互联网示范城市, 城市碳排放, 双重差分（DID）, 中介效应, 异质性分析

Abstract:

Based on panel data of 268 prefecture-level cities in China from 2009 to 2017, this study regarded the policy of the next-generation internet demonstration city as a quasi-natural experiment, and empirically tested the impact of the policy of the next-generation internet demonstration city on urban carbon emissions by using the Difference in Difference model (DID). The results show that the policy of the next-generation internet demonstration city can alleviate the carbon emissions of the city, and the carbon emissions of the city can be alleviated by 1.41%. This conclusion still holds after the robustness test. In the mechanism analysis, the policy of the next-generation internet demonstration city mainly alleviates urban carbon emissions through industrial structure optimization and green technology innovation. Further heterogeneity test shows that the construction of the next-generation internet demonstration city has a more significant emission reductions effect on large cities and high carbon emissions, while it aggravates carbon emissions in small and medium-sized cities.

Key words: Next-generation internet demonstration city, Urban carbon emission, Difference in Difference (DID), Mediation effect, Heterogeneity analysis

宝哲, 周小亮. 数字赋能与城市碳排放——基于下一代互联网示范城市的准自然试验[J]. 气候变化研究进展, 2022, 18(4): 503-508.

BAO Zhe, ZHOU Xiao-Liang. Digital empowerment and urban carbon emissions: a quasi-natural experiment based on next-generation internet demonstration cities[J]. Climate Change Research, 2022, 18(4): 503-508.

图/表 2

参考文献 14

[1]	Barro R J, Lee J W. Sources of economic growth[J]. Carnegie-Rochester Conference Series on Public Policy, 1994, 40 (1): 1-46 doi: 10.1016/0167-2231(94)90002-7 URL
[2]	Grossman G, Krueger A. Economic-growth and the environment[J]. Quarterly Journal of Economics, 1995, 110 (2): 353-377 doi: 10.2307/2118443 URL
[3]	江三良, 邵宇浩. 产业集聚是否导致“污染天堂”: 基于全国239个地级市的数据分析[J]. 产经评论, 2020 (4): 109-118.
	Jiang S L, Shao Y H. Whether industrial agglomeration leads to “Pollution Paradise”: based on data analysis of 239 prefecture-level cities in China[J]. Labor and Economic Review, 2020 (4): 109-118 (in Chinese)
[4]	石大千, 丁海, 卫平, 等. 智慧城市建设能否降低环境污染[J]. 中国工业经济, 2018, 363 (6): 119-137.
	Shi D Q, Ding H, Wei P, et al. Can the construction of smart cities reduce environmental pollution?[J]. China Industrial Economics, 2018, 363 (6): 119-137 (in Chinese)
[5]	Cao X, Deng M, Li H. How does E-commerce city pilot improve green total factor productivity? Evidence from 230 cities in China[J]. Journal of Environmental Management, 2021, 289 (7): 112520
[6]	林伯强, 刘希颖. 中国城市化阶段的碳排放:影响因素和减排策略[J]. 经济研究, 2010, 45 (8): 66-78.
	Lin B Q, Liu X Y. Carbon emissions in China’s urbanization stage: influencing factors and emission reduction strategies[J]. Economic Research, 2010, 45 (8): 66-78 (in Chinese)
[7]	张意翔, 成金华. 绿色创新是否适应气候变化: 中国专利和GHG排放数据的实证[J]. 中国人口∙资源与环境, 2021, 31 (1): 48-56.
	Zhang Y X, Cheng J H. Does green innovation adapt to climate change: an empirical study of Chinese patent and GHG emission data[J]. China Population, Resources and Environment, 2021, 31 (1): 48-56 (in Chinese)
[8]	干春晖, 邹俊, 王健. 地方官员任期、企业资源获取与产能过剩[J]. 中国工业经济, 2015 (3): 44-56.
	Gan C H, Zou J, Wang J. Tenure of local officials, enterprise resource acquisition and overcapacity[J]. China Industrial Economics, 2015 (3): 44-56 (in Chinese)
[9]	张华. 低碳城市试点政策能够降低碳排放吗?来自准自然实验的证据[J]. 经济管理, 2020, 42 (6): 27-43.
	Zhang H. Can low-carbon city pilot policies reduce carbon emissions? Evidence from quasi-natural experiments[J]. Economic Management, 2020, 42 (6): 27-43 (in Chinese)
[10]	张海军, 段茂盛. 碳排放权交易体系政策效果的评估方法[J]. 中国人口∙资源与环境, 2020, 30 (5): 17-25.
	Zhang H J, Duan M S. The evaluation method of the policy effect of the carbon emission trading system[J]. China Population, Resources and Environment, 2020, 30 (5): 17-25 (in Chinese)
[11]	董艳梅, 朱英明. 高铁建设的就业效应研究: 基于中国285个城市倾向匹配倍差法的证据[J]. 经济管理, 2016, 11 (11): 26.
	Dong Y M, Zhu Y M. Research on the employment effect of high-speed rail construction: based on the evidence from 285 Chinese cities propensity matching method[J]. Economic Management, 2016, 11 (11): 26 (in Chinese)
[12]	余泳泽, 郭梦华, 胡山. 社会失信环境与民营企业成长: 来自城市失信人的经验证据[J]. 中国工业经济, 2020 (9): 137-155.
	Yu Y Z, Guo M H, Hu S. The environment of social dishonesty and the growth of private enterprises: empirical evidence from urban dishonest people[J]. China Industrial Economics, 2020 (9): 137-155 (in Chinese)
[13]	Baron R M, Kenny D A. The moderator-mediator variable distinction in social psychological research: conceptual, strategic, and statistical considerations[J]. Journal of Personality and Social Psychology, 1999, 51 (6): 1173 doi: 10.1037/0022-3514.51.6.1173 URL
[14]	董梅, 李存芳. 低碳省区试点政策的净碳减排效应[J]. 中国人口∙资源与环境, 2020, 30 (11): 63-74.
	Dong M, Li C F. The net carbon emission reduction effect of pilot policies in low-carbon provinces and regions[J]. China Population, Resources and Environment, 2020, 30 (11): 63-74 (in Chinese)

数字赋能与城市碳排放——基于下一代互联网示范城市的准自然试验

Digital empowerment and urban carbon emissions: a quasi-natural experiment based on next-generation internet demonstration cities

RichHTML

PDF

可视化

摘要/Abstract

引用本文

使用本文

图/表 2

参考文献 14

相关文章 0

编辑推荐

Metrics

本文评价