基于外部情景因素和内在驱动因素的整体性视角,利用2020年6月—2022年12月武汉市社区公共安全服务的1974份样本数据,采用SEM和fsQCA混合研究法探究超大城市居民参与公共安全治理合作生产的影响机理及组态路径。研究发现,政策叙事、社会规范及社区危机学习均对居民合作生产产生显著正向影响,且社区危机学习的影响最为明显。合作态度在社会规范对居民合作生产的影响中发挥了显著的中介作用,风险感知分别强化了知觉行为控制、合作态度对居民合作生产的正向作用。进一步的组态研究表明,驱动高合作生产的路径包括社区危机响应型、政策导向型、内在驱动型三种,而产生低合作生产的路径表征为“外源—内驱”缺失型。研究结论可为超大城市公共安全治理的“居民动员”提供理论解释与实证依据。
Adopting a holistic perspective encompassing external contextual factors and internal drivers, this study employs a mixed-methods approach combining Structural Equation Modeling (SEM) and Fuzzy-Set Qualitative Comparative Analysis (fsQCA) to investigate the influence mechanism and configuration paths of resident co-production in public safety governance within megacity communities. The analysis utilizes 1,974 sample data points from community public safety services in Wuhan. The study shows that policy narrative, social norms, and community crisis learning all exert significant positive effects on resident co-production, with community crisis learning demonstrating the strongest impact. Cooperative attitudes significantly mediate the relationship between social norms and resident co-production. Risk perception positively moderates the effects of perceived behavioral control and cooperative attitudes on resident co-production. Further configurational analysis reveals three pathways driving high co-production, including Community Crisis-Responsive Pathway, Policy-Oriented Pathway and Internal Driver Pathway. Conversely, low co-production is characterized by an “Absence of External-Internal Drivers” pathway. This research provides theoretical explanations and empirical evidence for “resident mobilization” in public safety governance within megacities.
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