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评价中国社会治理创新政策:基于模糊集定性比较分析的研究。

Evaluating social governance innovation policy in China: A study based on fuzzy set qualitative comparative analysis.

机构信息

Faculty of food Engineering, Anhui Science and Technology University, Bengbu, Anhui, China.

Faculty of Economic and Business, University of Murcia, Spain.

出版信息

Eval Program Plann. 2024 Oct;106:102460. doi: 10.1016/j.evalprogplan.2024.102460. Epub 2024 Jun 24.

DOI:10.1016/j.evalprogplan.2024.102460
PMID:39002208
Abstract

Social governance is an important aspect of national governance. Strengthening and innovating social governance is an important task to promote social construction, and the necessary policy support is an important means to achieve governance innovation. Based on the policy texts of 31 urban districts (including 22 provincial capitals, 4 municipalities directly under the Central Government and 5 capitals of autonomous regions), the innovation policy of social governance is divided into five dimensions: organizational mobilization policy, public service policy, social regulatory policy, community constructive policy and data informative policy. Using the fs-QCA method, the path of social governance innovation policy on governance performance is discussed. The study finds that the supply mode of two innovative policy combinations have a significant effect on the improvement of social governance performance: One is organizational mobilization policy, public service policy and community constructive policy, and the other is organizational mobilization policy, social regulatory policy and data informative policy.

摘要

社会治理是国家治理的重要方面。加强和创新社会治理是推进社会建设的重要任务,政策支持是实现治理创新的必要手段。基于 31 个城区(包括 22 个省会城市、4 个直辖市和 5 个自治区首府)的政策文本,将社会治理创新政策分为组织动员政策、公共服务政策、社会监管政策、社区建设政策和数据信息政策五个维度。利用 fs-QCA 方法,探讨了社会治理创新政策对治理绩效的路径。研究发现,两种创新政策组合的供给模式对社会治理绩效的提高有显著影响:一种是组织动员政策、公共服务政策和社区建设政策,另一种是组织动员政策、社会监管政策和数据信息政策。

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