| 摘要: |
| 美国社会治理创新扩散的研究已经进行了大半个世纪,积累了大量的实证研究成果,然而,这些研究多以单案例研究为主,导致无法得出关于美国社会治理创新扩散的综合性、整体性分析。基于此,文章运用荟萃分析方法对美国社会治理创新的相关研究进行综合分析,总结美国社会治理创新扩散的影响因素,并归纳美国社会治理创新扩散模式。结果表明,公众需求、邻近效应、联邦政府强制性措施、政策企业家、公民意识形态、单一政党控制、选举、宗教和利益集团对美国社会治理创新扩散有重要影响。通过对各影响因素的进一步归纳,认为美国的社会治理创新扩散模式是“以获得连任和当选为内在动力,以社会压力为主导的社会学习”。这一发现为揭示美国社会治理创新扩散的一般规律,也为相关的比较研究提供了重要的参考依据。 |
| 关键词: 社会治理 创新扩散 邻近效应 扩散模式 荟萃分析 |
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| Research on the Influencing Factors and Models of the Diffusion of American Social Governance Innovation:Based on Meta-analysis |
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YANG Dai-fu;LI Zeng
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School of Public Administration,Chongqing University,Chongqing 400044,China
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| Abstract: |
| The research on the diffusion of American social governance innovation has been conducted for more than half a century,and a large number of empirical research results have been accumulated.However,these studies are mostly based on single case studies,which makes it impossible to draw a comprehensive and holistic view on the diffusion of American social governance innovation analysis.Based on this,this article uses meta-analysis to comprehensively analyze the relevant researches on American social governance innovation,summarizes the factors affecting the diffusion of American social governance innovation,and summarizes the diffusion model of American social governance innovation.The results show that public demand,proximity effects,federal government coercive measures,policy entrepreneurs,civic ideology,single party control,elections,religion,and interest groups have an important impact on the diffusion of American social governance innovation.By further summarizing the various influencing factors,it is believed that the diffusion model of American social governance innovation is“social learning driven by re-election and election as the internal motivation and social pressure as the leading factor”.This discovery reveals the general law of the diffusion of American social governance innovation and also provides an important reference for related comparative studies. |
| Key words: social governance innovation diffusion influencing factors proximity effects Meta-analysis |
