城市问题

城市问题 >

2024 , Vol. 344 >Issue 3: 65 - 78

DOI: https://doi.org/10.13239/j.bjsshkxy.cswt.240307

“双碳”目标与城市绿色转型发展

“中心—外围”视角下城市碳排放转移的经济脱碳效应——基于长三角地区地级及以上城市数据的实证分析

  • 钟娟 ,
  • 冯慧敏 ,
  • 魏彦杰
展开
钟娟(1980—),女,河南新野人,安徽财经大学国际经济贸易学院副教授,博士,主要研究方向为企业迁移、产业可持续发展等;冯慧敏(1999—),女,安徽金寨人,安徽财经大学国际经济贸易学院国际商务专业硕士研究生,主要研究方向为企业迁移;魏彦杰(1973—),男,河南平顶山人,安徽财经大学国际经济贸易学院副教授,博士,主要研究方向为金融市场化。

收稿日期: 2024-01-23

  修回日期: 2024-02-28

  网络出版日期: 2024-04-28

基金资助

国家社会科学基金一般项目(21BJL046)——“城市群高质量发展背景下污染源企业迁移经济与环境效应及其协调政策研究”。

收起

The economic decarbonization effects of carbon emission transfer in cities under the perspective of “center-periphery”: An empirical analysis based on the data of prefecture level and above cities in the Yangtze River Delta Region

  • ZHONG Juan ,
  • FENG Hui-min ,
  • WEI Yan-jie
Expand

Received date: 2024-01-23

  Revised date: 2024-02-28

  Online published: 2024-04-28

Fold

摘要

城市空间结构演化所导致的市域内碳排放转移可能对经济脱碳产生深刻影响。采用2006—2017年我国长三角地区地级及以上城市数据,实证研究城市“中心—外围”碳排放转移的经济脱碳效应及其调节机制。研究发现:碳排放从城市中心向外围转移的过程具有经济脱碳效应,尤其是向半外围区域转移的脱碳效应最为明显,且这一效应对经济脱碳水平较低或较高城市更加强烈。提升绿色全要素生产率与加快产业升级能够强化碳排放转移的经济脱碳效应,绿色全要素生产率的有利调节作用主要来自效率变动而非技术进步。碳排放转移的经济脱碳效应以及绿色全要素生产率、产业升级的有利调节作用在长三角城市具有异质性,主要存在于二线和三线城市、沿江滨海城市以及行业碳排放结构较为清洁的城市。研究结论从空间结构视角揭示碳排放转移与经济脱碳的关系,为政府有针对性地优化城市空间结构、最大程度地发挥碳排放转移的经济脱碳效应提供参考。

关键词： “中心—外围”碳排放转移; 经济脱碳效应; 调节机制

本文引用格式

钟娟 , 冯慧敏 , 魏彦杰 . “中心—外围”视角下城市碳排放转移的经济脱碳效应——基于长三角地区地级及以上城市数据的实证分析[J]. 城市问题, 2024 , 344(3) : 65 -78 . DOI: 10.13239/j.bjsshkxy.cswt.240307

Abstract

The transfer of carbon emissions within urban areas caused by the evolution of urban spatial structure may also have a profound impact on economic decarbonization. Using data from prefecture level and above cities in the Yangtze River Delta from 2006 to 2017, this study empirically investigates the economic decarbonization effect and regulatory mechanism of carbon emission transfer from the center to the periphery of the city. Research has found that:Firstly, the process of carbon emissions transferring from the city center to the periphery has an economic decarbonization effect, especially the decarbonization effect transferring to the semi periphery area is most obvious, and this effect is more pronounced for cities with lower or higher levels of economic decarbonization. Secondly, improving green total factor productivity and accelerating industrial upgrading can strengthen the economic decarbonization effect of carbon emission transfer, and the favorable regulatory effect of green total factor productivity mainly comes from efficiency changes rather than technological progress. Thirdly, the economic decarbonization effect of carbon emission transfer, as well as the favorable regulatory effect of green total factor productivity and industrial upgrading, have heterogeneity in cities in the Yangtze River Delta. They mainly exist in second - and third tier cities, coastal cities along the river, and cities with relatively clean industry carbon emission structures. The research conclusion helps to reveal the relationship between carbon emission transfer and economic decarbonization from the perspective of spatial structure, and provides policy reference for the government to optimize urban spatial structure in a targeted manner and maximize the economic decarbonization effect of carbon emission transfer.

Key words： carbon emission transfer from the center to the periphery; economic decarbonization effect; regulatory mechanism

参考文献

[1] Zhang Y J,Liu Z,Zhang H,et al. The impact of economic growth,industrial structure and urbanization on carbon emission intensity in China[J]. Natural Hazards,2014(2):579-595
[2] 钟娟,魏彦杰. 产业集聚与开放经济影响污染减排的空间效应分析[J]. 中国人口·资源与环境,2019(5):98-107
[3] Huang J B,Liu Q,Cai X C,et al. The effect of technological factors on China’s carbon intensity:New evidence from a Panel Threshold Model[J]. Energy Policy,2018(115):32-42
[4] 陈诗一. 中国碳排放强度的波动下降模式及经济解释[J]. 世界经济,2011(4):124-143
[5] 颜文涛,李子豪. 风险扰动视角下城市空间结构的韧性机理研究——理论框架与实证方法[J]. 国际城市规划,2023(4):1-10
[6] Hong S F,Hui E C M,Lin Y Y. Relationship between urban spatial structure and carbon emissions:A literature review[J]. Ecological Indicators,2022(144):1-8
[7] 冯新惠,李艳,王诗逸,等. “双碳”目标下城市形态对碳排放的影响:以长江经济带为例[J/OL]. 环境科学,1-16[2024-01-05]https://doi.org/10.13227/j.hjkx.202307030
[8] 罗珂,田立涛,何豫,等. 基于文献计量的城市空间结构与生态环境关联性研究[J]. 生态学报,2023(17):7352-7365
[9] Wang S J,Liu X P,Zhou C S,et al. Examining the impacts of socioeconomic factors,urban form,and transportation networks on CO2 emissions in China’s megacities[J]. Applied Energy,2017(1):189-200
[10] 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
[11] 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
[12] 冷红,赵妍,袁青. 城市形态调控减碳路径与策略[J]. 城市规划学刊,2023(1):54-61
[13] 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
[14] Van Den Berg L,Drewett R,Klaassen L H,et al. Urban Europe:A Study of Growth and Decline[M]. Oxford,UK:Pergamon Press,1982
[15] Liu C L,Wang T. Identifying and mapping local contributions of carbon emissions from urban motor and metro transports:A weighted multiproxy allocating approach[J]. Computers Environment and Urban Systems,2017(64):132-143
[16] 张志敏,欧国立,刘芮琳,等. 碳管控政策下制造业空间转移与碳排放:微观机理与空间效应[J]. 地理科学,2023(10):1751-1762
[17] 饶会林. 试论城市空间结构的经济意义[J]. 中国社会科学,1985(2):49-58
[18] 朱林兴. 试论城市空间结构[J]. 财经研究,1986(6):19-23
[19] 颜文涛,萧敬豪,胡海,等. 城市空间结构的环境绩效:进展与思考[J]. 城市规划学刊,2012(5):50-59
[20] 刘艳军,李诚固,孙迪. 城市区域空间结构:系统演化及驱动机制[J]. 城市规划学刊,2006(6):73-78
[21] Dong R X,Yan F Y. Revealing characteristics of the spatial structure of megacities at multiple scales with jobs-housing big data:A case study of Tianjin,China[J]. Land,2021(11):1-20
[22] 罗桑扎西,甄峰,张姗琪. 复杂网络视角下的城市人流空间概念模型与研究框架[J]. 地理研究,2021(4):1195-1208
[23] 肖骁,谢晓萍,李京忠,等. 新时代城市空间结构变革与转型[J]. 中国科学院院刊,2023(8):1118-1129
[24] 钮心毅,丁亮,宋小冬. 基于手机数据识别上海中心城的城市空间结构[J]. 城市规划学刊,2014(6):61-67
[25] 李智轩,甄峰,曹钟茗,等. 人流视角下城市空间结构特征及规划与治理响应——以南京市为例[J]. 城市发展研究,2021(6):58-65
[26] 席强敏. 企业迁移促进了全要素生产率提高吗?——基于城市内部制造业迁移的验证[J]. 南开经济研究,2018(4):176-193
[27] Chuai X W,Feng J X. High resolution carbon emissions simulation and spatial heterogeneity analysis based on big data in Nanjing City,China[J]. Science of the Total Environment,2019(686):828-837
[28] 周慧敏,孙斌栋,古荭欢,等. 上海市企业空间结构演化研究[J]. 城市发展研究,2023(12):9-17
[29] Jin J,Kim D. Expansion of the subway network and spatial distribution of population and employment in the Seoul Metropolitan Area[J]. Urban Studies,2018(11):2499-2521
[30] 吴嘉贤,刘修岩. 空间经济视角下地铁建设与城市空间结构演化[J]. 现代经济探讨,2023(11):85-100
[31] Zhou G L,Zhang J,Li C G,et al. Spatial pattern of functional urban land conversion and expansion under rapid urbanization:A case study of Changchun,China[J]. Land,2022(01)
[32] Ma Q,Murshed M,Khan Z. The nexuses between energy investments,technological innovations,emission taxes,and carbon emissions in China[J]. Energy Policy,2021,155
[33] 王兆峰,李竹,吴卫. 长江经济带不同等级城市碳排放的时空演变及其影响因素[J]. 环境科学研究,2022(10):2273-2281
[34] 方齐云,吴光豪. 城市二氧化碳排放和经济增长的脱钩分析——以武汉市为例[J]. 城市问题,2016(3):56-61
[35] 王少剑,谢紫寒,王泽宏. 中国县域碳排放的时空演变及影响因素[J]. 地理学报,2021(12):3103-3118
[36] 袁晓玲,耿晗钰,李思蕊,等. 高质量发展视域下中国城市“双碳”目标实现的现状、挑战与对策[J]. 西安交通大学学报(社会科学版),2022(5):30-38
[37] Deng B N,Affolderbach J,Deutz P. Industrial restructuring through eco-transformation:Green industrial transfer in Changsha–Zhuzhou–Xiangtan,Hunan Province[J]. Sustainability,2020(17):6945
[38] Liu J,Qian Y,Yin T C,et al. Does industrial symbiotic agglomeration reduce pollution emissions:Evidence from eco-industrial demonstration parks in China[J]. Environmental Science and Pollution Research,2023(30):111441-111458
[39] 邵帅,张可,豆建民. 经济集聚的节能减排效应:理论与中国经验[J]. 管理世界,2019(1):36-60,226
[40] 童抗抗,马克明. 居住—就业距离对交通碳排放的影响[J]. 生态学报,2012(10):2975-2984
[41] 董成惠. 共享经济:理论与现实[J]. 广东财经大学学报,2016(5):4-15
[42] 钟粤俊,陆铭,奚锡灿. 集聚与服务业发展——基于人口空间分布的视角[J]. 管理世界,2020(11):35-49
[43] 林伯强. 碳中和背景下的广义节能——基于产业结构调整、低碳消费和循环经济的节能新内涵[J]. 厦门大学学报(哲学社会科学版),2022(2):10-20
[44] Wolman A. The metabolism of cities[J]. Scientific American,1965(3):178-193
[45] 宋涛,蔡建明,倪攀,等. 基于能值和DEA的中国城市新陈代谢效率分析[J]. 资源科学,2013(11):2166-2173
[46] 冯杰,张世秋. 基于DEA方法的我国省际绿色全要素生产率评估——不同模型选择的差异性探析[J]. 北京大学学报(自然科学版),2017(1):151-159.
[47] Song Y,Yang L,Sindakis S,et al. Analyzing the role of high-tech industrial agglomeration in green transformation and upgrading of manufacturing industry:The case of China[J]. Journal of the Knowledge Economy,2022:1-31
[48] Ben Arfi W,Hikkerova L,Sahut J M. External knowledge sources,green innovation and performance[J]. Technological Forecasting and Social Change,2018(129):210-220
[49] Clark C. The Conditions of Economic Progress[M]. London: Macmillan & Co. Ltd,1957
[50] Yang H C,Zhang F M,He Y X. Exploring the effect of producer services and manufacturing industrial co-agglomeration on the ecological environment pollution control in China[J]. Environment,Development and Sustainability,2021(23):16119-16144
[51] 刘军,钱宇,段蓉蓉. 产业共生集聚:一种循环型产业集聚的新形态[J]. 江苏社会科学,2022(4):152-162,244
[52] Liu J J,Dong S C,Li Y. Spatial analysis on the contribution of industrial structure change to regional energy efficiency:A case study of 31 provinces in Mainland China[J]. Journal of Natural Resources,2011(12):1999-2011
[53] Yang H,Peng C,Yang X N,et al. Does change of industrial structure affect energy consumption structure:A study based on the perspective of energy grade calculation[J]. Energy Exploration & Exploitation,2019(1):579-592
[54] 冯宗宪,黄建山. 重心研究方法在中国产业与经济空间演变及特征中的实证应用[J]. 社会科学家,2005(2):77-80+83
[55] Fukuyama H,Weber W L. A directional slacks-based measure of technical inefficiency[J]. Socio-Economic Planning,2009(43):274-287
[56] 黄庆华,时培豪,胡江峰. 产业集聚与经济高质量发展:长江经济带107个地级市例证[J]. 改革,2020(1):87-99
[57] 吴健生,牛妍,彭建,等. 基于DMSP/OLS夜间灯光数据的1995-2009年中国地级市能源消费动态[J]. 地理研究,2014(4):625-634.
[58] Chen J D,Gao M,Cheng S L,et al. County-level CO2 emissions and sequestration in China 1997-2017[J]. Scientific Data,2020.
[59] Stern D,Common M,Barbier E.Economic growth and environmental degradation: The environmental Kuznets Curve and sustainable development [J].World development,1996(7):1151-1160
[60] 盛斌,吕越. 外国直接投资对中国环境的影响——来自工业行业面板数据的实证研究[J]. 中国社会科学,2012(5):54-75,205-206
[61] 夏勇,钟茂初. 经济发展与环境污染脱钩理论及EKC假说的关系——兼论中国地级城市的脱钩划分[J]. 中国人口·资源与环境,2016(10):8-16
[62] 田达睿,杨帅,关冲,等. 城市空间集聚性与居民生活碳排放相关性探索——基于全国110个城市数据的分析[J]. 城市规划,2023(7):76-85
[63] 戴其文,杨靖云,张晓奇,等. 污染企业/产业转移的特征、模式与动力机制[J]. 地理研究,2020(7):1511-1533
[64] 涂华,刘翠杰. 标准煤二氧化碳排放的计算[J]. 煤质技术,2014(2):57-60
[65] Lin B Q,Chen Z Y. Does factor market distortion inhibit the green total factor productivity in China?[J]. Journal of Cleaner Production,2018(1):25-33
Options
文章导航

/

〈 〉