基层负担的类型识别与消解路径OACHSSCD
Type Identification and Mitigation Paths of Grassroots Burdens:An Empirical Study Based on Co-word Analysis and the Louvain Algorithm
基层负担的异质性与复杂性构成精准减负的核心挑战,科学的类型划分是破解该难题的重要前提.对2015-2025年CSSCI来源期刊的72篇文献的共词分析与Louvain社区发现算法表明,基层负担存在四种类型,即责任性负担、数字性负担、绩效性负担与社会性负担.依托组织理论的开放系统视角,构建"压力来源—作用场域"类型学分析框架,能够揭示基层负担的差异化特征与内在关联.不同负担之间存在由外向内的压力传导与由内向外的反馈强化,形成动态作用关系.结构性约束通过塑造基层治理的行动环境与资源条件,衍生出特定的执行策略行为,并在成为隐形规则后转化为正式的制度约束,由此形成基层负担的动态演化机制.为健全基层减负长效机制,应通过结构性赋权、整体性智治、效能化考核与社会性赋能,从根源上破解基层负担困局.
The heterogeneity and complexity of grassroots burdens pose a core challenge to targeted burden reduction,and scientific classification is a crucial prerequisite.Based on co-word analysis and the Louvain algorithm of 72 CSSCI articles(2015-2025),four ideal types of grassroots bur-dens are identified:responsibility-based,digital,performance-based,and social burdens.Dynamic interactions exist among these burdens,involving pressure transmission and feedback reinforce-ment.Structural constraints shape grassroots governance environments,leading to specific imple-mentation strategies that evolve into formal institutional constraints,forming a dynamic evolution mechanism.To establish a long-term mechanism,structural empowerment,holistic smart govern-ance,performance-based evaluation,and social empowerment should be adopted to fundamentally break the dilemma of grassroots burdens.
韩瑞波;宁波
华中师范大学,湖北 武汉 430079华中师范大学,湖北 武汉 430079
社会科学
基层治理基层负担基层减负类型学
grassroots governancegrassroots burdensreducing the burden at the grassroots leveltypology
《天津行政学院学报》 2026 (2)
22-33,12
湖北省高等学校哲学社会科学研究重大项目"党建引领乡村数字治理的湖北经验与实践研究"(23ZD140).
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