IDEAS home Printed from https://ideas.repec.org/a/gam/jijerp/v19y2022i22p15035-d973355.html
   My bibliography  Save this article

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
    as

    Download full text from publisher

    File URL: https://www.mdpi.com/1660-4601/19/22/15035/pdf
    Download Restriction: no
    File URL: https://www.mdpi.com/1660-4601/19/22/15035/
    Download Restriction: no
    ---><---

    References listed on IDEAS

    as
    1. 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, December.
    2. 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.
    3. 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.
    4. 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.
    5. 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.
    6. 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.
    7. 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).
    8. 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.
    Full references (including those not matched with items on IDEAS)

    Most related items

    These are the items that most often cite the same works as this one and are cited by the same works as this one.
    1. Yanzhao Wang & Jianfei Cao, 2023. "Examining the Effects of Socioeconomic Development on Fine Particulate Matter (PM2.5) in China’s Cities Based on Spatial Autocorrelation Analysis and MGWR Model," IJERPH, MDPI, vol. 20(4), pages 1-23, February.
    2. Wang, Xiaoxi & Zhang, Yaojun & Yu, Danlin & Qi, Jinghan & Li, Shujing, 2022. "Investigating the spatiotemporal pattern of urban vibrancy and its determinants: Spatial big data analyses in Beijing, China," Land Use Policy, Elsevier, vol. 119(C).
    3. Hengyu Gu & Hanchen Yu & Mehak Sachdeva & Ye Liu, 2021. "Analyzing the distribution of researchers in China: An approach using multiscale geographically weighted regression," Growth and Change, Wiley Blackwell, vol. 52(1), pages 443-459, March.
    4. Jin, Peizhen & Mangla, Sachin Kumar & Song, Malin, 2021. "Moving towards a sustainable and innovative city: Internal urban traffic accessibility and high-level innovation based on platform monitoring data," International Journal of Production Economics, Elsevier, vol. 235(C).
    5. Chunfang Zhao & Yingliang Wu & Yunfeng Chen & Guohua Chen, 2023. "Multiscale Effects of Hedonic Attributes on Airbnb Listing Prices Based on MGWR: A Case Study of Beijing, China," Sustainability, MDPI, vol. 15(2), pages 1-21, January.
    6. Björn Mestdagh & Olivier Sempiga & Luc Van Liedekerke, 2023. "The Impact of External Shocks on the Sustainable Development Goals (SDGs): Linking the COVID-19 Pandemic to SDG Implementation at the Local Government Level," Sustainability, MDPI, vol. 15(7), pages 1-18, April.
    7. Lu Liu & Yun Luo & Jingjing Pei & Huiquan Wang & Jixia Li & Ying Li, 2021. "Temporal and Spatial Differentiation in Urban Resilience and Its Influencing Factors in Henan Province," Sustainability, MDPI, vol. 13(22), pages 1-26, November.
    8. Li Gao & Mingjing Huang & Wuping Zhang & Lei Qiao & Guofang Wang & Xumeng Zhang, 2021. "Comparative Study on Spatial Digital Mapping Methods of Soil Nutrients Based on Different Geospatial Technologies," Sustainability, MDPI, vol. 13(6), pages 1-19, March.
    9. Vanda Ningrum & Chotib & Athor Subroto, 2022. "Urban Community Resilience Amidst the Spreading of Coronavirus Disease (COVID-19): A Rapid Scoping Review," Sustainability, MDPI, vol. 14(17), pages 1-12, September.
    10. Moore, David & Webb, Amanda L., 2022. "Evaluating energy burden at the urban scale: A spatial regression approach in Cincinnati, Ohio," Energy Policy, Elsevier, vol. 160(C).
    11. Elisa Gavari-Starkie & María-Francisca Casado-Claro & Inmaculada Navarro-González, 2021. "The Japanese Educational System as an International Model for Urban Resilience," IJERPH, MDPI, vol. 18(11), pages 1-19, May.
    12. Ana Maria Corrales-Estrada & Loyda Lily Gómez-Santos & Cesar Augusto Bernal-Torres & Jaime Eric Rodriguez-López, 2021. "Sustainability and Resilience Organizational Capabilities to Enhance Business Continuity Management: A Literature Review," Sustainability, MDPI, vol. 13(15), pages 1-25, July.
    13. Yingqi Liu & Ruijun Chen & Fei Zhou & Shuang Zhang & Juan Wang, 2021. "Analysis of the Influencing Factors of Organizational Resilience in the ISM Framework: An Exploratory Study Based on Multiple Cases," Sustainability, MDPI, vol. 13(23), pages 1-24, December.
    14. Hosseinzadeh, Aryan & Algomaiah, Majeed & Kluger, Robert & Li, Zhixia, 2021. "Spatial analysis of shared e-scooter trips," Journal of Transport Geography, Elsevier, vol. 92(C).
    15. Yigong Hu & Binbin Lu & Yong Ge & Guanpeng Dong, 2022. "Uncovering spatial heterogeneity in real estate prices via combined hierarchical linear model and geographically weighted regression," Environment and Planning B, , vol. 49(6), pages 1715-1740, July.
    16. Yongxin Liu & Yiting Wang & Yiwen Lin & Xiaoqing Ma & Shifa Guo & Qianru Ouyang & Caige Sun, 2023. "Habitat Quality Assessment and Driving Factors Analysis of Guangdong Province, China," Sustainability, MDPI, vol. 15(15), pages 1-23, July.
    17. Nagamani Subramanian & M. Suresh, 2022. "Social Sustainability Factors Influencing the Implementation of Sustainable HRM in Manufacturing SMEs," Humanistic Management Journal, Springer, vol. 7(3), pages 469-507, December.
    18. Tao Wang & Kai Zhang & Keliang Liu & Keke Ding & Wenwen Qin, 2023. "Spatial Heterogeneity and Scale Effects of Transportation Carbon Emission-Influencing Factors—An Empirical Analysis Based on 286 Cities in China," IJERPH, MDPI, vol. 20(3), pages 1-17, January.
    19. Lu, Haiyan & Zhao, Pengjun & Hu, Haoyu & Zeng, Liangen & Wu, Kai Sheng & Lv, Di, 2022. "Transport infrastructure and urban-rural income disparity: A municipal-level analysis in China," Journal of Transport Geography, Elsevier, vol. 99(C).
    20. Junfeng Wang & Shaoyao Zhang & Wei Deng & Qianli Zhou, 2024. "Metropolitan Expansion and Migrant Population: Correlation Patterns and Influencing Factors in Chengdu, China," Land, MDPI, vol. 13(1), pages 1-20, January.

    Corrections

    All material on this site has been provided by the respective publishers and authors. You can help correct errors and omissions. When requesting a correction, please mention this item's handle: RePEc:gam:jijerp:v:19:y:2022:i:22:p:15035-:d:973355. See general information about how to correct material in RePEc.

    If you have authored this item and are not yet registered with RePEc, we encourage you to do it here. This allows to link your profile to this item. It also allows you to accept potential citations to this item that we are uncertain about.

    If CitEc recognized a bibliographic reference but did not link an item in RePEc to it, you can help with this form .

    If you know of missing items citing this one, you can help us creating those links by adding the relevant references in the same way as above, for each refering item. If you are a registered author of this item, you may also want to check the "citations" tab in your RePEc Author Service profile, as there may be some citations waiting for confirmation.

    For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: MDPI Indexing Manager (email available below). General contact details of provider: https://www.mdpi.com .

    Please note that corrections may take a couple of weeks to filter through the various RePEc services.

    IDEAS is a RePEc service. RePEc uses bibliographic data supplied by the respective publishers.