Li Liqing, Li Zihan, Ding Haifeng, Gao Meng
Public Administration and Law School, Hunan Agricultural University, Changsha, China.
Economics and Management School, Zhejiang Ocean University, Zhoushan, China.
PLoS One. 2024 Dec 23;19(12):e0315713. doi: 10.1371/journal.pone.0315713. eCollection 2024.
Community resilience is critical for the government's response to public health emergencies. With the rapid development of digital technology, leveraging digital tools for grassroots community governance has become increasingly important for the Chinese government. Fuzzy set qualitative comparative analysis (fsQCA) is utilized in this study to establish a framework for investigating the historical development of holistic intelligent governance for community resilience in the context of public health emergencies. Using 31 provincial-level regions in mainland China as research samples and taking the development of community resilience as the outcome variable, the study explores the configurational models and developmental pathways of holistic intelligent governance in enhancing community resilience from a conditional configurational perspective. The results of this study suggest that the mechanisms of community resilience in the face of public health emergencies revolve around five key factors: community self-organization legitimacy, grassroots party-building leadership, policy support, digital governance platform funding, and organizational digitization. However, no single variable alone constitutes a necessary condition for fostering community resilience. Instead, a combination of these factors is required, along with other variables promoting the formation of community resilience, among which community self-organizational legitimacy, grassroots party-building leadership, digital governance platform funding, and organizational digitization serve as the productive basis for promoting the formation of community resilience in holistic intelligent governance at the grassroots level, and are complementary to policy support.
社区韧性对于政府应对突发公共卫生事件至关重要。随着数字技术的快速发展，利用数字工具进行基层社区治理对中国政府而言变得愈发重要。本研究运用模糊集定性比较分析（fsQCA）建立一个框架，用以考察在突发公共卫生事件背景下社区韧性整体智能治理的历史发展。以中国大陆31个省级行政区为研究样本，将社区韧性的发展作为结果变量，本研究从条件组态视角探究整体智能治理在增强社区韧性方面的组态模型和发展路径。本研究结果表明，面对突发公共卫生事件时社区韧性的机制围绕五个关键因素展开：社区自组织合法性、基层党建引领、政策支持、数字治理平台资金以及组织数字化。然而，没有单一变量单独构成培育社区韧性的必要条件。相反，需要这些因素与其他促进社区韧性形成的变量相结合，其中社区自组织合法性、基层党建引领、数字治理平台资金以及组织数字化是促进基层整体智能治理中社区韧性形成的生产性基础，并与政策支持相辅相成。
