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The Recovery of China’s Industrial Parks in the First Wave of COVID-19

Author

Listed:
  • Changcheng Kan

    (Baidu.com Times Technology (Beijing) Co., Ltd., Beijing 100085, China
    These authors contributed equally to this work.)

  • Qiwei Ma

    (School of Architecture, Tsinghua University, Beijing 100084, China
    These authors contributed equally to this work.)

  • Zhaoya Gong

    (School of Urban Planning & Design, Peking University Shenzhen Graduate School, Shenzhen 518055, China
    Key Laboratory of Earth Surface System and Human-Earth Relations of Ministry of Natural Resources of China, Peking University Shenzhen Graduate School, Shenzhen 518055, China)

  • Yuanjing Qi

    (School of Soil and Water Conservation, Beijing Forestry University, Beijing 100083, China)

  • Anrong Dang

    (School of Architecture, Tsinghua University, Beijing 100084, China)

Abstract

Industrial parks are functional urban areas that carry the capacity to support highly concentrated production activities. The robustness and anti-interference ability of these areas are of great importance to maintaining economic vitality of a country. Focusing on the rate of production recovery (RPR), this paper examines the recovery of 436 major industrial parks in mainland China during the first wave of COVID-19. Leveraging spatio-temporal big data, we measured 14 attributes pertaining to industrial parks, covering four categories, namely spatial location, central city, park development, and public service. We focused on the spatial association and heterogeneity of the recovery patterns and identified the factors that truly affected the recovery of industrial parks with quantitative evaluation of their effects. The results reveal that: (1) RPR of industrial parks are significantly spatially clustered, with an obvious “cold spot” in the early outbreak area of Hubei Province and a prominent “center-periphery” pattern in developed areas, which is highly correlated with the spread of the epidemic. (2) The mechanisms driving the resumption of industrial parks are complex and versatile. All four categories in the variable matrix are related to RPR, including up to eight effective influencing factors. The effect of influencing factors is spatially heterogeneous, and its intensity varies significantly across regions. What is more interesting is that some impact factors show positive effects in some industrial parks while inhibiting the recovery in others. On the basis of the discussion of those findings with practical experiences, the planning and construction strategies of industrial park are suggested to mitigate the impact of similar external shocks.

Suggested Citation

  • Changcheng Kan & Qiwei Ma & Zhaoya Gong & Yuanjing Qi & Anrong Dang, 2022. "The Recovery of China’s Industrial Parks in the First Wave of COVID-19," IJERPH, MDPI, vol. 19(22), pages 1-15, November.
    • Handle: RePEc:gam:jijerp:v:19:y:2022:i:22:p:15035-:d:973355
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    References listed on IDEAS

    as
    1. Zhaoya Gong & Qiwei Ma & Changcheng Kan & Qianyun Qi, 2019. "Classifying Street Spaces with Street View Images for a Spatial Indicator of Urban Functions," Sustainability, MDPI, vol. 11(22), pages 1-17, November.
    2. Douglas W. Allen, 2022. "Covid-19 Lockdown Cost/Benefits: A Critical Assessment of the Literature," International Journal of the Economics of Business, Taylor & Francis Journals, vol. 29(1), pages 1-32, January.
    3. Sahebjamnia, Navid & Torabi, S. Ali & Mansouri, S. Afshin, 2018. "Building organizational resilience in the face of multiple disruptions," International Journal of Production Economics, Elsevier, vol. 197(C), pages 63-83.
    4. Hirvonen, Kalle, 2020. "Economic impacts of COVID-19 pandemic in Ethiopia: A review of phone survey evidence," ESSP working papers 151, International Food Policy Research Institute (IFPRI).
    5. A. Stewart Fotheringham & Wenbai Yang & Wei Kang, 2017. "Multiscale Geographically Weighted Regression (MGWR)," Annals of the American Association of Geographers, Taylor & Francis Journals, vol. 107(6), pages 1247-1265, November.
    6. Abhas K. Jha & Todd W. Miner & Zuzana Stanton-Geddes, 2013. "Building Urban Resilience : Principles, Tools, and Practice," World Bank Publications - Books, The World Bank Group, number 13109.
    7. Qiong Jia & Yue Guo & Guanlin Wang & Stuart J. Barnes, 2020. "Big Data Analytics in the Fight against Major Public Health Incidents (Including COVID-19): A Conceptual Framework," IJERPH, MDPI, vol. 17(17), pages 1-21, August.
    8. Mahnoosh Hassankhani & Mehdi Alidadi & Ayyoob Sharifi & Abolghasem Azhdari, 2021. "Smart City and Crisis Management: Lessons for the COVID-19 Pandemic," IJERPH, MDPI, vol. 18(15), pages 1-18, July.
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