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The evolution of transport networks and the regional water environment: the case of Chinese high-speed rail

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  • Huanxiu Guo
  • Cheng Chen
  • Xiaofang Dong
  • Changmin Jiang

Abstract

We investigate empirically the role of an evolving high-speed rail (HSR) network in improving the regional water environment via industry agglomeration. We use Graph Theory to construct a data set reflecting a continuous evolution of cities’ accessibility to the HSR network. We find that cities with higher degree and closeness centralities in the HSR network tend to have less industrial water pollution. The reallocation of a high-skilled labour force leads to the agglomeration of skill-intensive and clean industries in cities with higher HSR centralities. We show that the evolution of the HSR networks is indeed conducive to the sustainable regional development.

Suggested Citation

  • Huanxiu Guo & Cheng Chen & Xiaofang Dong & Changmin Jiang, 2021. "The evolution of transport networks and the regional water environment: the case of Chinese high-speed rail," Regional Studies, Taylor & Francis Journals, vol. 55(6), pages 1084-1110, June.
    • Handle: RePEc:taf:regstd:v:55:y:2021:i:6:p:1084-1110
    DOI: 10.1080/00343404.2020.1862783
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    Cited by:

    1. Li, Xiang & Cheng, Zhonghua, 2022. "Does high-speed rail improve urban carbon emission efficiency in China?," Socio-Economic Planning Sciences, Elsevier, vol. 84(C).
    2. Li, Hao & Guo, Huanxiu, 2021. "Spatial spillovers of pollution via high-speed rail network in China," Transport Policy, Elsevier, vol. 111(C), pages 138-152.
    3. Chen, Qifei & Wang, Meng, 2022. "Opening of high-speed rail and the consumer service industry: Evidence from China," Economic Analysis and Policy, Elsevier, vol. 76(C), pages 31-45.
    4. Hu, Zhibin & Wu, Guangdong & Han, Yilong & Niu, Yanliang, 2023. "Unraveling the dynamic changes of high-speed rail network with urban development: Evidence from China," Socio-Economic Planning Sciences, Elsevier, vol. 85(C).
    5. Xiaoxuan Zhang & John Gibson, 2024. "Local economic effects of connecting to China's high-speed rail network: Evidence from spatial econometric models," Working Papers in Economics 24/03, University of Waikato.
    6. Bangjuan Wang & Weisheng Mao & Junxian Piao & Chengliang Liu, 2023. "Does external linkage stimulate innovation capacity? The analysis based on “dual‐pipelines” framework," Papers in Regional Science, Wiley Blackwell, vol. 102(3), pages 613-633, June.

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