【摘要】 提升智能社会治理绩效，已成为推进国家治理体系和治理能力现代化、破解复杂社会治理难题的重要议题。本研究基于社会—技术系统多层级视角，构建涵盖景观层、体制层和利基层的理论框架，通过30个典型案例的模糊集定性比较分析，系统剖析智能社会治理绩效的差异化生成机制。研究发现，影响智能社会治理绩效的因素存在多重并发关系；地方财政自主性、数字基础设施、数字敏捷性、注意力分配、主体参与和技术创新六个因素关联互动，形成“多要素共治模式”与“数据驱动模式”两条高绩效组态路径，以及“环境桎梏模式”和“体制掣肘模式”两条非高绩效组态路径；景观层、体制层和利基层三个层级相互作用，共同塑造了差异化的智能社会治理绩效生成机制。研究结论为推动社会治理智能化转型和优化治理实践提供了理论支撑与实证依据。更多还原

【Abstract】 Enhancing intelligent social governance performance has emerged as a critical agenda for advancing the modernization of national governance systems and capacity, as well as addressing complex social governance challenges. Drawing upon the multi-level perspective of socio-technical system, this study constructs a theoretical framework encompassing the landscape, regime, and niche levels. Utilizing fuzzy-set qualitative comparative analysis of 30 representative cases, the paper systematically examines the differential generation mechanisms of intelligent social governance performance. The findings reveal that: the factors influencing governance performance exhibit multiple conjunctural causalities; the interaction among six key factors——local fiscal autonomy, digital infrastructure, digital agility, attention allocation, stakeholder participation, and technological innovation——leads to two high-performance configurations: the “multi-element co-governance” model and the “data-driven” model, as well as two non-high-performance configurations——the “environmental constraints” model and the “institutional hindrance” model; the interaction across the landscape, regime, and niche levels collectively shapes the differentiated mechanisms of performance generation. These conclusions provide both theoretical support and empirical evidence for facilitating the intelligent transformation of social governance and optimizing governance practices.更多还原