管理评论 ›› 2024, Vol. 36 ›› Issue (5): 207-220.

• 风险与应急管理 • 上一篇    

重大突发公共卫生事件应急合作网络演化及绩效研究——以武汉市应对新冠肺炎疫情为例

王红梅, 石银凤, 郭小倩   

  1. 中央财经大学政府管理学院, 北京 100081
  • 收稿日期:2021-07-26 发布日期:2024-06-06
  • 通讯作者: 石银凤(通讯作者),中央财经大学政府管理学院博士研究生。
  • 作者简介:王红梅,中央财经大学政府管理学院教授,博士生导师,博士;郭小倩,中央财经大学政府管理学院硕士研究生。
  • 基金资助:
    国家自然科学基金青年项目(71804207;72004079);国家自然科学基金面上项目(72274232)。

Research on the Evolution and Performance of the Emergency Cooperation Network for Major Public Health Emergencies: The Case of Wuhan's Response to COVID-19

Wang Hongmei, Shi Yinfeng, Guo Xiaoqian   

  1. School of Government, Central University of Finance and Economics, Beijing 100081
  • Received:2021-07-26 Published:2024-06-06

摘要: 突发公共卫生事件的复杂性、动态性和不确定性给应急管理合作提出了更高的要求,因此构建和优化跨部门合作网络对于有效应对公共卫生事件具有重要意义。本文基于2020年新冠肺炎疫情期间武汉市疫情防控应急组织间关系数据,利用社会网络分析方法,融合非常态和常态两种社会形态,全面剖析重大突发公共卫生事件应急合作网络的演化情况及绩效差异。研究结果表明,具有相似组织属性的组织之间更易建立合作关系,形成复杂的合作网络;但非常态应急合作网络与常态化应急合作网络之间存在显著差异,且非常态应急合作网络的整体绩效更高。基于此,科学高效的应急管理需要兼顾非常态应急和常态化防控,依据应急情境的变化,协调不同阶段的重点任务及涉及的组织,并把组织间紧密的依赖关系作为维持组织信任、推动资源共享和信息交流的功能鲁棒,进一步探索提升应急合作网络有效性的可行路径。

关键词: 公共卫生事件, 应急合作, 网络分析, 网络绩效

Abstract: The complexity, dynamics, and uncertainty of public health emergencies put forward higher requirements for emergency man-agement cooperation. Therefore, building and optimizing a cross-departmental cooperation network is of great significance for effective re-sponse to public health incidents. Based on the relationship data between emergency organizations in Wuhan during the COVID-19 epi-demic in 2020, this paper uses the social network analysis method to integrate both abnormal and normal social states, and comprehen-sively analyzes the evolution and performance of the emergency cooperation network for major public health emergencies. The research shows that cooperative relationship and complex cooperation network are more likely to form among organizations with similar organiza-tional attributes. However, there are significant differences between the abnormal emergency cooperation network and the normal emer-gency cooperation network, and the overall performance of the abnormal emergency cooperation network is stronger. Based on this, scien-tific and efficient emergency management needs to take into account abnormal emergency and normal prevention and control, coordinate key tasks and organizations involved in different stages according to changes in emergency situations, and take the close inter-organiza-tional dependence relationship as a robust function for maintaining organizational trust, promoting resource sharing and information ex-change, to further explore feasible ways to improve the effectiveness of emergency cooperation networks.

Key words: public health emergencies, emergency cooperation, network analysis, network performance