Digital economy, urban spatial structure and carbon emissions efficiency

  • DONG Xin ,
  • ZHANG Zhao-hui
Expand

Received date: 2023-05-23

  Revised date: 2023-06-28

  Online published: 2023-09-19

Abstract

Under the dual development goals of environmental protection and economic growth, it is of more practical significance to study the impact of digital economy on carbon emission efficiency. Through the analysis of 279 cities in China from 2011 to 2019, it was found that the development of the digital economy can significantly improve urban carbon emission efficiency, and a decentralized or multi-center urban spatial structure is also conducive to the improvement of carbon emission efficiency. Moreover, the urban multi-center structure helps the digital economy to play its role in improving carbon emission efficiency. From the heterogeneity analysis of urban geographical location, resource endowment conditions, and industrial policy support, the results show that in the eastern or southern regions, non resource-based cities, and pilot cities of “big data”, urban multi-center structure can help the digital economy play its role in improving carbon emission efficiency. Based on the findings of the study, policy recommendations were proposed.

Cite this article

DONG Xin , ZHANG Zhao-hui . Digital economy, urban spatial structure and carbon emissions efficiency[J]. Urban Problems, 2023 , 337(8) : 15 -25 . DOI: 10.13239/j.bjsshkxy.cswt.230802

References

[1] 林伯强. 碳中和进程中的中国经济高质量增长[J]. 经济研究, 2022(1):56-71
[2] 陈晓红,李杨扬,宋丽洁,等. 数字经济理论体系与研究展望[J]. 管理世界, 2022(2):208-224
[3] 杨开忠. 发展绿色数字经济[J]. 智慧中国, 2022(8):24-25
[4] Zhang N, Wang B, Liu Z. Carbon emissions dynamics, efficiency gains, and technological innovation in China’s industrial sectors[J]. Energy, 2016,99:10-19
[5] 赵作权. 威廉·诺德豪斯对空间经济学的贡献[J]. 经济学动态, 2019(1):103-115
[6] 张永生. 为什么碳中和必须纳入生态文明建设整体布局——理论解释及其政策含义[J]. 中国人口·资源与环境, 2021(9):6-15
[7] 范秋芳,王劲草,王杰. 城市空间结构演化的减排效应:内在机制与中国经验[J]. 城市问题, 2021(12):87-96
[8] 田成诗,张亚兵. 中国多中心城市空间结构与能源效率关系[J]. 自然资源学报, 2022(1):135-148
[9] 单菁菁,谢伟伟,杨开忠. 聚焦绿色转型重塑中国空间经济格局:问题辨析与路径选择[J]. 中国软科学, 2023(3):85-95
[10] Song M, Zhao X, Shang Y. The impact of low-carbon city construction on ecological efficiency: Empirical evidence from quasi-natural experiments[J]. Resources, Conservation and Recycling, 2020,157:104777
[11] 陈诗一. 能源消耗、二氧化碳排放与中国工业的可持续发展[J]. 经济研究, 2009(4):41-55
[12] 杨慧梅,江璐. 数字经济、空间效应与全要素生产率[J]. 统计研究, 2021(4):3-15
[13] Tang C, Xu Y, Hao Y, et al. What is the role of telecommunications infrastructure construction in green technology innovation? A firm-level analysis for China[J]. Energy Economics, 2021,103:105576
[14] Dong F, Hu M, Gao Y, et al. How does digital economy affect carbon emissions? Evidence from global 60 countries[J]. Science of The Total Environment, 2022,852:158401
[15] 陈晓东,杨晓霞. 数字经济发展对产业结构升级的影响——基于灰关联熵与耗散结构理论的研究[J]. 改革, 2021(3):26-39
[16] 肖旭,戚聿东. 产业数字化转型的价值维度与理论逻辑[J]. 改革, 2019(8):61-70
[17] Schulte P, Welsch H, Rexhäuser S. ICT and the demand for energy: Evidence from OECD countries[J]. Environmental and Resource Economics, 2016(1):119-146
[18] Ishida H. The effect of ICT development on economic growth and energy consumption in Japan[J]. Telematics and Informatics, 2015(1):79-88
[19] Wang L, Shao J. Digital economy, entrepreneurship and energy efficiency[J]. Energy, 2023,269:126801
[20] Zhang W, Liu X, Wang D, et al. Digital economy and carbon emission performance: Evidence at China’s city level[J]. Energy Policy, 2022,165:112927
[21] Nordhaus W D. Geography and macroeconomics: New data and new findings[J]. Proceedings of the National Academy of Sciences, 2006(10):3510-3517
[22] 罗珂,田立涛,何豫,等. 城市空间结构与生态环境关联性的研究进展[J]. 生态学报, 2023(17):1-15
[23] Makido Y, Dhakal S, Yamagata Y. Relationship between urban form and CO2 emissions: Evidence from fifty Japanese cities[J]. Urban Climate, 2012,2:55-67
[24] Xu X, Ou J, Liu P, et al. Investigating the impacts of three-dimensional spatial structures on CO2 emissions at the urban scale[J]. Science of the Total Environment, 2021,762:143096
[25] 韩帅帅,苗长虹,李奕灿. 黄河流域城市多中心空间结构对碳排放的影响研究[J]. 地理研究, 2023(4):936-954
[26] 雷玉桃,朱鹤政,彭文祥. 多中心空间结构对城市碳减排的影响研究——基于中国超特大城市的实证分析[J]. 城市问题, 2023(2):4-12
[27] Shi K, Xu T, Li Y, et al. Effects of urban forms on CO2 emissions in China from a multi-perspective analysis[J]. Journal of Environmental Management, 2020,262:110300
[28] 秦波,邵然. 低碳城市与空间结构优化:理念、实证和实践[J]. 国际城市规划, 2011(3):72-77
[29] 马为彪. 多中心空间结构对区域创新的影响[J]. 现代经济探讨, 2023(5):96-108
[30] Zhang T, Sun B, Li W. The economic performance of urban structure: From the perspective of Polycentricity and Monocentricity[J]. Cities, 2017,68:18-24
[31] 王峤,刘修岩,李迎成. 空间结构、城市规模与中国城市的创新绩效[J]. 中国工业经济, 2021(5):114-132
[32] 马仁锋,王腾飞. 城市空间结构对新兴产业区位影响研究动态与展望[J]. 世界地理研究, 2019(5):141-152
[33] 李文彬,陈浩. 产城融合内涵解析与规划建议[J]. 城市规划学刊, 2012(S1):99-103
[34] Rickwood P, Glazebrook G, Searle G. Urban structure and energy—a review[J]. Urban Policy and Research, 2008(1):57-81
[35] Madlener R, Sunak Y. Impacts of urbanization on urban structures and energy demand: What can we learn for urban energy planning and urbanization management?[J]. Sustainable Cities and Society, 2011(1):45-53
[36] 温忠麟,侯杰泰,张雷. 调节效应与中介效应的比较和应用[J]. 心理学报, 2005(2):268-274
[37] 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, 1986(6):1173
[38] Charnes A, Cooper W W, Rhodes E. Measuring the efficiency of decision making units[J]. European Journal of Operational Research, 1978(6):429-444
[39] Tone K. A slacks-based measure of efficiency in data envelopment analysis[J]. European Journal of Operational Research, 2001(3):498-509
[40] Tone K. A slacks-based measure of super-efficiency in data envelopment analysis[J]. European Journal of Operational Research, 2002(1):32-41
[41] Cai B, Guo H, Ma Z, et al. Benchmarking carbon emissions efficiency in Chinese cities: A comparative study based on high-resolution gridded data[J]. Applied energy, 2019,242:994-1009
[42] Yu Y, Zhang N. Low-carbon city pilot and carbon emission efficiency: Quasi-experimental evidence from China[J]. Energy Economics, 2021,96:105125
[43] 张军,吴桂英,张吉鹏. 中国省际物质资本存量估算:1952—2000[J]. 经济研究, 2004(10):35-44
[44] Liu B, Tian C, Li Y, et al. Research on the effects of urbanization on carbon emissions efficiency of urban agglomerations in China[J]. Journal of Cleaner Production, 2018,197:1374-1381
[45] 魏丽莉,侯宇琦. 数字经济对中国城市绿色发展的影响作用研究[J]. 数量经济技术经济研究, 2022(8):60-79
[46] 朱喜安,马樱格. 数经济对绿色全要素生产率变动的影响研究[J]. 经济问题, 2022(11):1-11
[47] 郭峰,王靖一,王芳,等. 测度中国数字普惠金融发展:指数编制与空间特征[J]. 经济学(季刊), 2020(4):1401-1418
[48] 吴非,胡慧芷,林慧妍,等. 企业数字化转型与资本市场表现——来自股票流动性的经验证据[J]. 管理世界, 2021(7):130-144
[49] Meijers E J, Burger M J. Spatial structure and productivity in US metropolitan areas[J]. Environment and Planning A, 2010(6):1383-1402
[50] 魏守华,孙宁,姜悦. Zipf定律与Gibrat定律在中国城市规模分布中的适用性[J]. 世界经济, 2018(9):96-120
[51] 王妤,孙斌栋,匡贞胜. 城市实体地域识别及城市规模分布再检验——基于LandScan人口数据的跨国研究[J]. 城市问题, 2021(10):46-55
[52] 孙斌栋,华杰媛,李琬,等. 中国城市群空间结构的演化与影响因素——基于人口分布的形态单中心——多中心视角[J]. 地理科学进展, 2017(10):1294-1303
[53] Gonzalez-Navarro M, Turner M A. Subways and urban growth: Evidence from earth[J]. Journal of Urban Economics, 2018,108:85-106
[54] 黄群慧,余泳泽,张松林. 互联网发展与制造业生产率提升:内在机制与中国经验[J]. 中国工业经济, 2019(8):5-23
[55] 赵涛,张智,梁上坤. 数字经济、创业活跃度与高质量发展——来自中国城市的经验证据[J]. 管理世界, 2020(10):65-76
[56] 黄勃,李海彤,刘俊岐,等. 数字技术创新与中国企业高质量发展——来自企业数字专利的证据[J]. 经济研究, 2023(3):97-115
[57] 游珍,封志明,杨艳昭. 中国1km地形起伏度数据集[J]. 全球变化数据学报(中英文), 2018(2):151-155
[58] 周灿,曾刚,宓泽锋. 中国城市群技术知识单中心与多中心探究[J]. 地理研究, 2019(2):235-246
[59] Xu R, Yue W, Wei F, et al. Inequality of public facilities between urban and rural areas and its driving factors in ten cities of China[J]. Scientific Reports, 2022(1):13244
[60] Al-Marhubi F. Export diversification and growth: An empirical investigation[J]. Applied Economics Letters, 2000(9):559-562
[61] 刘修岩,李松林,秦蒙. 城市空间结构与地区经济效率——兼论中国城镇化发展道路的模式选择[J]. 管理世界, 2017(1):51-64
Outlines

/

〈 〉