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突发公共卫生事件政府协同治理网络韧性评价:以新冠疫情防治为例

Resilience evaluation of government collaborative governance network in public health emergencies:based on prevention and control of novel coronavirus

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【作者】 陈为公; 王丽占; 张永亮; 王相丹;

【Author】 CHEN Weigong;WANG Lizhan;ZHANG Yongliang;WANG Xiangdan;School of Management Engineering, Qingdao University of Technology;School of Mechanical and Automotive Engineering, Qingdao University of Technology;

【机构】 青岛理工大学管理工程学院; 青岛理工大学机械与汽车工程学院;

【摘要】 为及时有效地应对各类突发公共卫生事件,具备韧性的应急治理组织结构是关键保障。以我国新型冠状病毒疫情防治为研究对象,收集我国自新冠疫情暴发以来中央层面的政策发文共951篇,整理发文主体间联合关系,得到政府协同治理关系矩阵,基于此,应用复杂网络理论,构建我国突发公共卫生事件政府协同治理网络;运用社会网络分析方法,提出系统表征网络结构韧性的5个维度的指标:层级性、匹配性、通达性、集聚性和多样性,进而实现从结构拓扑视角对我国政府协同治理组织韧性的评价。结果显示:我国突发公共卫生事件政府协同治理网络的网络度分布系数为-0.591 6;度关联系数为-0.188 3;平均路径长度为2.129 0;网络效率为0.403 5;平均聚类系数为0.598 9;网络平均独立路径数为4.095 5。该网络具有异质性且呈现较为明显的层级性,具备较好的冗余性,但网络流通水平低。表明我国突发公共卫生事件政府应急治理组织韧性水平低主要表现在其抵御、吸收风险的能力差,应调整网络结构以提高整体网络预警以及抗干扰能力。

【Abstract】 In order to respond to various public health emergencies in a timely and effective manner, a resilient emergency governance organizational structure is the key guarantee. Taking the prevention and control of novel coronavirus infection in China as the research object, this study collected 951 policy publications at the central level since the outbreak of novel coronavirus epidemic in China, sorted out the joint relations among the issuers, and obtained a government collaborative governance relationship matrix. On this basis, we applied the complex network theory to build a government collaborative governance network for public health emergencies in China. Finally, using the social network analysis method, this paper put forward five dimensions of indicators that systematically represent the resilience of the network structure: hierarchy, matching, accessibility, clustering and diversity, and then realized the evaluation of the resilience of government collaborative governance organization in China from the perspective of structural topology. The results show that the network degree distribution coefficient is-0.591 6. The degree correlation coefficient is-0.188 3. The average path length is 2.129 0. The network efficiency is 0.403 5. The average clustering coefficient is 0.598 9. The average number of independent paths in the network is 4.095 5. The results show that the government collaborative governance network of public health emergencies in China has heterogeneity and obvious hierarchy, with good redundancy, but the network circulation level is low. The network has a poor ability to resist and absorb attacks, and it should be adjusted to improve the overall network early warning and anti-interference ability.

【基金】 国家自然科学基金资助(51874187);山东省自然科学基金资助(ZR2018MEE002);山东省高等学校优秀青年创新团队项目(2019KJH008)
  • 【文献出处】 中国安全科学学报 ,China Safety Science Journal , 编辑部邮箱 ,2023年04期
  • 【分类号】D63;R181.8
  • 【下载频次】177
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