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Regional resilience and spatial cycles: Long-term evolution of the Chinese port system (221BC-2010AD)

Author

Listed:
  • Chengjin Wang

    (IGSNRR - Institute of Geographic Sciences and Natural Resources Research - CAS - Chinese Academy of Sciences [Changchun Branch])

  • César Ducruet

    (GC (UMR_8504) - Géographie-cités - UP1 - Université Paris 1 Panthéon-Sorbonne - UPD7 - Université Paris Diderot - Paris 7 - CNRS - Centre National de la Recherche Scientifique, EconomiX - EconomiX - UPN - Université Paris Nanterre - CNRS - Centre National de la Recherche Scientifique)

Abstract

Spatial models of port system evolution often depict linearly the emergence of hierarchy through successive concentration phases of originally scattered ports. The Chinese case provides a fertile ground for complementing existing works by a long-term perspective, given the early importance of river ports and seaports and the development irregularities caused by periods of closure and openness over time and across such a large land mass. In both qualitative and quantitative ways, this paper describes and analyses the changing spatial pattern of China's port system since the first unified empire (221bc). Main results underline a certain stability of the port system with regard to the location of main sea-river gateways, notwithstanding important regional shifts from one period to the other.

Suggested Citation

  • Chengjin Wang & César Ducruet, 2013. "Regional resilience and spatial cycles: Long-term evolution of the Chinese port system (221BC-2010AD)," Post-Print halshs-00831906, HAL.
    • Handle: RePEc:hal:journl:halshs-00831906
    DOI: 10.1111/tesg.12033
    Note: View the original document on HAL open archive server: https://shs.hal.science/halshs-00831906
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    References listed on IDEAS

    as
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    3. repec:hal:journl:hal-03247143 is not listed on IDEAS
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    Cited by:

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    7. He, Zhangyuan & Zhao, Pengjun & Xiao, Zuopeng & Huang, Xin & Li, Zhaoxiang & Kang, Tingting, 2024. "Exploring the distance decay in port hinterlands under port regionalization using truck GPS data," Transportation Research Part E: Logistics and Transportation Review, Elsevier, vol. 181(C).

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