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    Assessment of Resilient Governance Capacity toward COVID-19 in Chinese Cities

    Source: Natural Hazards Review:;2024:;Volume ( 025 ):;issue: 003::page 04024023-1
    Author:
    Yi Peng
    ,
    Yiye Zhang
    ,
    Xinbing Gu
    DOI: 10.1061/NHREFO.NHENG-2013
    Publisher: American Society of Civil Engineers
    Abstract: Resilient governance is essential to coping with complicated emergencies such as COVID-19. Existing studies have explored the public health system’s governance capacity and resilient issues. Although local governments play critical roles in responding to epidemics, few studies have examined the local government’s resilient governance capacity. This study develops a conceptual framework to assess local government’s resilient governance capacity toward epidemics from preparedness, awareness, response, learning, and coordination dimensions. Wuhan, Xi’an, Shijiazhuang, and Hangzhou were selected as cases to collect questionnaire survey data on local resilient governance capacity. The full-permutation polygon synthetic indicator method (FPPSI) is used to assess the performance of case cities. The study found that Hangzhou is ranked the highest, with Wuhan second, Xi’an third, and Shijiazhuang last in the comprehensive performance. Coordination is found vital for resilient governance. The governments have weaknesses in preparedness capacity, coordination capacity, and learning capacity. It is necessary to strengthen the balance between epidemic prevention and control and socioeconomic development. Comprehensive resilient governance strategies have also been proposed to guide governmental practice. This study can provide references for local governments to cope with future epidemic events.
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      Assessment of Resilient Governance Capacity toward COVID-19 in Chinese Cities

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    http://yetl.yabesh.ir/yetl1/handle/yetl/4298430
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    contributor authorYi Peng
    contributor authorYiye Zhang
    contributor authorXinbing Gu
    date accessioned2024-12-24T10:10:23Z
    date available2024-12-24T10:10:23Z
    date copyright8/1/2024 12:00:00 AM
    date issued2024
    identifier otherNHREFO.NHENG-2013.pdf
    identifier urihttp://yetl.yabesh.ir/yetl1/handle/yetl/4298430
    description abstractResilient governance is essential to coping with complicated emergencies such as COVID-19. Existing studies have explored the public health system’s governance capacity and resilient issues. Although local governments play critical roles in responding to epidemics, few studies have examined the local government’s resilient governance capacity. This study develops a conceptual framework to assess local government’s resilient governance capacity toward epidemics from preparedness, awareness, response, learning, and coordination dimensions. Wuhan, Xi’an, Shijiazhuang, and Hangzhou were selected as cases to collect questionnaire survey data on local resilient governance capacity. The full-permutation polygon synthetic indicator method (FPPSI) is used to assess the performance of case cities. The study found that Hangzhou is ranked the highest, with Wuhan second, Xi’an third, and Shijiazhuang last in the comprehensive performance. Coordination is found vital for resilient governance. The governments have weaknesses in preparedness capacity, coordination capacity, and learning capacity. It is necessary to strengthen the balance between epidemic prevention and control and socioeconomic development. Comprehensive resilient governance strategies have also been proposed to guide governmental practice. This study can provide references for local governments to cope with future epidemic events.
    publisherAmerican Society of Civil Engineers
    titleAssessment of Resilient Governance Capacity toward COVID-19 in Chinese Cities
    typeJournal Article
    journal volume25
    journal issue3
    journal titleNatural Hazards Review
    identifier doi10.1061/NHREFO.NHENG-2013
    journal fristpage04024023-1
    journal lastpage04024023-14
    page14
    treeNatural Hazards Review:;2024:;Volume ( 025 ):;issue: 003
    contenttypeFulltext
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