来源：Policy Studies Journal

作者：Liu Weixing, Ma Liang, Wang Xuan, Yi Hongtao

刘卫星 | 对外经济贸易大学谈球吧（中国）官方网站讲师

摘要：

Policy diffusion based on learning mechanisms has fascinated political science and public administration scholars for a long time. A robust and growing body of studies have identified the existence and importance of learning mechanisms in policy diffusion. However, there are still some gaps that need to be further improved. First, scholars identify the learning mechanism mainly based on indirect evidence, such as geographical proximity and successful innovation policies adopted by other jurisdictions, which lacking direct and systematic evidence. Second, little is known about how the hierarchical power structure affects the leap from learning behavior to policy adoption. This study provides direct evidence for the promoting effect of intergovernmental learning on policy diffusion by analyzing case of Chinese local financial subsidy policies for new energy vehicles. The empirical results reveal that policy learning in the form of site visits among local governments significantly promotes the policy diffusion, but superior government policy strategy attenuates the influence of interlocal learning on policy diffusion. Also, the initiators and themes of policy learning affect the learning-diffusion linkage, portraying the conditional effects and nuanced dynamics of interlocal policy learning in eliciting policy diffusion.

长期以来，基于学习机制的政策扩散受到政治学和公共管理学者的关注。越来越多的研究已经确认了学习机制在政策扩散中的存在及其重要性。然而，一些研究空白仍然需要进一步完善。第一，学者对学习机制的识别主要基于间接证据，如地理邻近性以及其他辖区采取的成功创新政策等，缺乏直接且系统的证据。第二，几乎没有研究聚焦于等级权力结构如何影响从学习行为到政策采纳的跨越。本研究通过分析中国新能源汽车地方财政补贴政策，为“政府间学习对政策扩散的促进作用”提供了直接证据。实证结果表明，地方政府以实地考察形式进行的政策学习显著促进了政策扩散，但上级政府的政策策略会减弱地方间学习对政策扩散的影响。此外，政策学习的发起者和主题会影响学习与扩散之间的联系，描绘了地方间政策学习在引发政策扩散方面的条件效应和细微动态。

原文链接：

https://onlinelibrary.wiley.com/doi/10.1111/psj.12576