摘要
基于组织社会学视角,采用参与式观察法和半结构化深度访谈方式,对东南沿海服装产业集群中的“帮工队”用工模式展开分析。研究发现:该群体通过弹性化协作网络重构了传统的用工模式,其组织形态呈现去科层化的项目制特征,工人行动逻辑显著区别于布洛维“制造同意”理论框架下的赶工游戏机制。分析表明:帮工群体在劳动过程与权益抗争实践中,逐步建构起基于帮工头领导的“自己人”关系网络和意识。研究揭示了非正规就业群体自组织演化的新路径,其“关系型团结”的形成机制既突破了个体化维权困境,也为理解我国转型期劳工维权提供了新的分析维度。本次研究既对劳动过程理论进行了本土化拓展,也对数字经济时代灵活用工治理具有一定的启示作用。
Construction of“zero-waste city”is an important starting point to further reform comprehensive solid waste management,and an important measure to promote synergistic efficiency of pollution reduction and carbon reduction and build Beautiful China.In order to explore the influencing factors and driving path of policy diffusion in the“zero-waste city”pilot project,it constructs a policy diffusion analysis framework characteristic of“internal driving factors—external pressure factors—characteristics of leaders”from the perspective of policy diffusion,and employs the fuzzy-set Qualitative Comparative Analysis(fsQCA)method to conduct configuration analysis on 40 cases.The results show that diffusion of“zero-waste city”pilot policy is a result of economic development level,industrial structure,financial resources,administrative pressure,peer pressure,exchange among officials and ages of officials,among which exchange among officials is a sufficient condition.Through configuration analysis,three modes of policy diffusion are summarized,including resource-driven,pressure conduction and promotion incentive.Finally,based on the practice,it puts forward feasible suggestions to promote benign diffusion of the pilot policy of“zero-waste city”.
作者
曾远力
林泳仪
ZHANG Lin;PENG Dongmei(School of National Governance,Southwest University,Chongqing 400715,China)
出处
《重庆科技大学学报(社会科学版)》
2025年第3期35-46,共12页
Journal of Chongqing university of science and technology(social science edition)
基金
广东省哲学社会科学规划青年项目“环境状况感知、环境治理效果与居民的生育实践研究”(GD24YSH04)
广州市哲学社会科学发展“十四五”规划常规课题(共建)项目“数字时代广州市育儿夫妻的家庭分工研究”(2024GZGJ135)。
关键词
“自己人”
帮工队
非正规就业
劳工组织
劳动者权益
solid waste
“zero-waste city”pilot project
environmental pollution governance
policy diffusion
fuzzy-set Qualitative Comparative Analysis(fsQCA)method
