评估中国的社会治理创新政策:基于模糊集定性比较分析的研究
Qi Wu1, Javier Cifuentes-Faura2, Xuelan Li3
1Faculty of food Engineering, Anhui Science and Technology University, Bengbu, Anhui, China.
Evaluation and program planning
|July 13, 2024
概括
创新的社会治理政策显著提高了国家治理绩效. 关键组合包括组织动员,公共服务和社区政策,或组织动员,监管和数据政策.
科学领域:
- 公共管理 公共管理
- 政策研究 政策研究
- 城市治理城市治理
背景情况:
- 社会治理对于国家发展和社会建设至关重要.
- 政策支持对于推动社会治理方面的创新至关重要.
- 现有研究需要对影响治理绩效的特定政策组合进行更深入的分析.
研究的目的:
- 分析城市地区社会治理的创新政策.
- 确定有效的政策组合,以提高社会治理绩效.
- 探索政策创新影响治理结果的途径.
主要方法:
- 分析了31个城市区的政策文本.
- 将社会治理创新政策分为五个层面:组织动员,公共服务,社会监管,社区建设性和数据信息化.
- 模糊集定性比较分析 (fs-QCA) 方法的应用.
主要成果:
- 社会治理创新政策的两个特定组合显著提高了治理绩效.
- 组合1:组织动员政策,公共服务政策和社区建设性政策.
- 组合2:组织动员政策,社会监管政策和数据信息政策.
结论:
- 有针对性的政策组合是社会治理创新的有效驱动力.
- 这些政策包的战略实施可以带来加强国家治理.
- 未来的研究应该在不同的城市环境中探索这些政策互动的细微差别.
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