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Community Resilience Governance on Public Health Crisis in China

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  • Chao Wang

    (School of Public Policy & Management (School of Emergency Management), China University of Mining and Technology, Xuzhou 221116, China)

  • Xuan Dong

    (School of Public Policy & Management (School of Emergency Management), China University of Mining and Technology, Xuzhou 221116, China)

  • Yan Zhang

    (School of Public Policy & Management (School of Emergency Management), China University of Mining and Technology, Xuzhou 221116, China)

  • Yiwen Luo

    (School of Public Policy & Management (School of Emergency Management), China University of Mining and Technology, Xuzhou 221116, China)

Abstract

The COVID-19 pandemic has immensely affected economic and social order in not only China but the entire world, seriously threatening peoples’ lives and property. In China’s fight against COVID-19, the community is at the front line of joint prevention and control of the disease, yet it faces the problem of insufficient resilience. We explored the manifestations and formation mechanism of the problem of insufficient resilience in community public health crisis governance, based on the complex adaptive system theory, which emphasizes interaction among subjects and between subjects and the environment to improve the adaptability to the environment. Questionnaires and in-depth interviews were conducted in 28 counties (districts) of 14 cities of 7 provinces in China; 2345 questionnaires and 71 interview data were collected, and we conducted descriptive statistical analysis on questionnaire data. It is found that some communities faced insufficient resilience problems such as “simply isolating households and communities”, “blindly setting limits”, “layer-by-layer law”, and “rejecting and repelling all individuals from or even related to Hubei”. These problems are due to the fact that the community have a non-interactive relationship, which is a one-dimensional linear governance model to some extent. The legal content of the building of a “comprehensive disaster-reduction demonstration community” implemented by the Chinese government is compelled to stay at the level of system design to some extent, with its existence playing an ornamental role but lacking a substantial one. In this regard, this study suggests that a resilient governance model of community pluralistic cooperation be established based on the theoretical framework of complex adaptive system. This model is designed to increase the resilience of community public health crisis governance. The authoritative role of central and local policies is expected to be truly developed and played in dealing with the grassroots community public health crisis.

Suggested Citation

  • Chao Wang & Xuan Dong & Yan Zhang & Yiwen Luo, 2021. "Community Resilience Governance on Public Health Crisis in China," IJERPH, MDPI, vol. 18(4), pages 1-19, February.
    • Handle: RePEc:gam:jijerp:v:18:y:2021:i:4:p:2123-:d:503615
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    References listed on IDEAS

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    1. Chao Wang & Jiayi Tang, 2020. "Ritualized Law and Livelihood Fragility of Left-Behind Women in Rural China," IJERPH, MDPI, vol. 17(12), pages 1-20, June.
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    Cited by:

    1. Guojian Ma & Juan Ding & Youqing Lv, 2022. "SEIR Evolutionary Game Model Applied to the Evolution and Control of the Medical Waste Disposal Crisis in China during the COVID-19 Outbreak," Sustainability, MDPI, vol. 14(18), pages 1-18, September.
    2. Catarina Ferreira & Catarina Cardoso & Mariana Travassos & Mariana Paiva & Micaela Pestana & João M. Lopes & Márcio Oliveira, 2021. "Disorders, Vulnerabilities and Resilience in the Supply Chain in Pandemic Times," Logistics, MDPI, vol. 5(3), pages 1-16, July.
    3. Peng Cui & Ping Zou & Xuan Ju & Yi Liu & Yalu Su, 2022. "Research Progress and Improvement Ideas of Anti-Epidemic Resilience in China’s Urban Communities," IJERPH, MDPI, vol. 19(22), pages 1-15, November.
    4. Haoran Su & Chang Liu & Donghui Dai & Wenkai Chen & Zhen Zhang & Yaowu Wang, 2023. "Distribution Characteristics and Influencing Factors of the National Comprehensive Disaster-Reduction Demonstration Community in China," Land, MDPI, vol. 12(8), pages 1-30, August.
    5. Xian-Xian Liu & Jie Yang & Simon Fong & Nilanjan Dey & Richard C. Millham & Jinan Fiaidhi, 2022. "All-People-Test-Based Methods for COVID-19 Infectious Disease Dynamics Simulation Model: Towards Citywide COVID Testing," IJERPH, MDPI, vol. 19(17), pages 1-23, September.

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