Unearthing the impact of urban sprawl on transport carbon dioxide emissions: Fresh evidence from 274 Chinese cities

被引:1
|
作者
Shu, Tianheng [1 ]
Yu, Taofang [1 ]
Liao, Xia [2 ]
Yang, Shuo [1 ]
机构
[1] Tsinghua Univ, Sch Architecture, Beijing 100084, Peoples R China
[2] Chinese Acad Sci, Inst Geog Sci & Nat Resources Res, Beijing 100101, Peoples R China
关键词
transport carbon dioxide emissions; urban sprawl; heterogeneous impact; carbon mitigation; China; CO2; EMISSIONS; CITY; URBANIZATION; EXPANSION; DENSITY;
D O I
10.1007/s11442-024-2278-z
中图分类号
P9 [自然地理学];
学科分类号
0705 ; 070501 ;
摘要
Urban sprawl has been a prevailing phenomenon in developing countries like China, potentially resulting in significant carbon dioxide (CO2) emissions from the transport sector. However, the impact of urban sprawl on transport CO2 emissions (TCEs) is still not fully understood and remains somewhat rudimentary. To systematically investigate how urban sprawl influences TCEs, we employ panel regression and panel threshold regression for 274 Chinese cities (2005-2020), and obtain some new findings. Our results affirm that the degree of urban sprawl is positively associated with TCEs, and this holds true in different groups of city size and geographical region, while significant heterogeneity is observed in terms of such impact. Interestingly, we find urban sprawl nonlinearly impacts TCEs-with an equal increase in urban sprawl degree, TCEs are even lower in cities with larger population size and better economic condition, particularly in East China. Furthermore, the low-carbon city pilot policy shows potential in mitigating sprawl's impact on TCEs. Drawing on our findings, we argue that to achieve the target of TCEs reduction in China by curbing urban sprawl, more priority should be placed on relatively small, less developed, and geographically inferior cities for cost-efficiency reasons when formulating future urban development strategies.
引用
收藏
页码:1953 / 1976
页数:24
相关论文
共 50 条
  • [41] The impact of artificial intelligence on carbon emissions inequality: evidence from China cities
    Ma, Dan
    Zhu, Yanjin
    Lee, Chien-Chiang
    APPLIED ECONOMICS, 2025,
  • [42] Carbon emissions of urban rail transit in Chinese cities: A comprehensive analysis
    Pu, Jing
    Cai, Chen
    Guo, Ru
    Su, Jiangchuan
    Lin, Ruimin
    Liu, Jia
    Peng, Kaiming
    Huang, Chaoguang
    Huang, Xiangfeng
    SCIENCE OF THE TOTAL ENVIRONMENT, 2024, 921
  • [43] The impact of fintech ecosystem on urban carbon emissions: evidence from China
    Huang, Jie
    Duan, Xinyu
    Dai, Shengli
    Zhang, Zhenhua
    ENVIRONMENT DEVELOPMENT AND SUSTAINABILITY, 2024,
  • [44] How does industrial relocation affect carbon emissions? Evidence from Chinese cities
    Zhao, Ya-Nan
    Lee, Chien-Chiang
    ECONOMIC CHANGE AND RESTRUCTURING, 2024, 57 (06)
  • [45] Impact of digital economy on urban sustainable development: Evidence from Chinese cities
    Liu, Yang
    Xie, Yanxiang
    Zhong, Kaiyang
    SUSTAINABLE DEVELOPMENT, 2024, 32 (01) : 307 - 324
  • [46] The Impact of Land Marketization on Urban Resilience: Empirical Evidence from Chinese Cities
    Chen, Min
    Zeng, Longji
    Deng, Yajuan
    Chen, Shan
    Gu, Xin
    LAND, 2024, 13 (09)
  • [47] The Impact of Compact Urban Management on Environmental Quality: Evidence from Chinese Cities
    Yuan, Like
    PROCEEDINGS OF THE 2015 INTERNATIONAL SYMPOSIUM ON ENERGY SCIENCE AND CHEMICAL ENGINEERING (ISESCE 2015), 2016, 45 : 379 - 382
  • [48] SPRAWL, BLIGHT, AND THE ROLE OF URBAN CONTAINMENT POLICIES: EVIDENCE FROM US CITIES
    Hortas-Rico, Miriam
    JOURNAL OF REGIONAL SCIENCE, 2015, 55 (02) : 298 - 323
  • [49] The Effects of Urban Polycentricity on Particulate Matter Emissions From Vehicles: Evidence From 102 Chinese Cities
    Ye, Mi
    Derudder, Ben
    Jiang, Lei
    Caset, Freke
    Li, Yingcheng
    URBAN PLANNING, 2023, 8 (03): : 135 - 147
  • [50] Convergence of carbon dioxide emissions in Chinese cities: A continuous dynamic distribution approach
    Wu, Jianxin
    Wu, Yanrui
    Guo, Xiumei
    Cheong, Tsun Se
    ENERGY POLICY, 2016, 91 : 207 - 219