社区疫情防控协同治理的驱动因素与关键路径研究——基于全国20个案例的模糊集定性比较分析

Research on the driving factors and critical paths of coordinated governance of community epidemic prevention and control:a qualitative comparative analysis of fuzzy sets based on 20 cases in China

目的探索社区疫情防控协同治理效果的驱动因素与有效路径。方法以社区疫情防控案例为研究对象,采用定性比较分析方法,从协同治理主体、协同治理资源、协同治理技术、经济社会发展水平、制度保障5个维度分析社区疫情防控协同治理的主要影响因素。结果制度保障、协同治理技术、协同治理主体、社会经济发展水平、协同治理资源是社区疫情防控协同治理效果的主要影响因素。得到4种条件组合的一致性结果均>0.9,能够有效地解释社区疫情防控协同治理的特征。结论制度保障是实现社区疫情防控协同治理的必要条件,内外部协同是提升社区疫情防控治理成效的关键路径。建议从强化制度保障基础、促进内外力量整合、制定因地制宜策略等角度进一步提升社区疫情防控协同治理成效。

Objective To explore the driving factors and effective paths for the collaborative governance of community epidemic prevention and control.Methods Taking community epidemic prevention and control cases as the research object,qualitative comparative analysis method was adopted to analyze the main influencing factors of community epidemic prevention and control collaborative governance from the dimensions of participant subject,governance resources,governance technology,socio-economic development level and institutional guarantee.Results Institutional guarantees,governance technology,participant subject,socio-economic development levels,and governance resources were the main influencing factors for the effectiveness of community epidemic prevention and control collaborative governance.The consistency results of the four conditional configurations were all>0.9,which could effectively explain the characteristics of community epidemic prevention and control governance.Conclusion Institutional guarantee is a necessary condition for achieving collaborative governance of community epidemic prevention and control,and internal and external collaboration is a key path to improving the effectiveness of community epidemic prevention and control.It is suggested to further improve the effectiveness of community epidemic prevention and control collaborative governance from the perspective of strengthening the institutional guarantee foundation,promoting the integration of internal and external forces,and formulating local measures.