混合与匹配:多源流框架中的流内相互依赖与政策组合的采纳

Mixing and matching: Intra‐stream interdependence in the multiple streams framework and the adoption of policy mixes

Policy Studies Journal · 2024
被引 5
ABS 3

中文导读

研究了美国各州电动汽车政策中不同政策工具如何组合或竞争以实现目标,运用多源流框架和模糊集定性比较分析方法,揭示政策组合形成的因果路径。

Abstract

Abstract Policy process literature offers several frameworks and theories to understand the adoption or modification of policies across different jurisdictions. Extant studies focus on the emergence of coalitions, actors, strategies, etc. as they relate to individual policies. Policy actions, however, are typically deployed as packages—combinations of different instruments or measures. Policy mixes—also used interchangeably with terms such as policy packaging, policy bundling, etc.—are an important aspect of policy design. However, the role and emergence of policy mixes in the context of the policy process have not been studied in great depth. This study examines the role of different policy pathways that yield desired policy outcomes in the electric vehicle (EV) policy subsystem. We use the case of sub‐national EV policies across the US to analyze how different combinations of policy actions operate in combination and/or competition with each other to achieve the desired policy objectives. The study contributes to the policy design scholarship in two ways. First, by analyzing the emergence of policy mixes as policy outputs during the policy design process using a theoretical lens applying the multiple streams framework. Second, by deploying fuzzy set Qualitative Comparative Analysis as a methodological tool to uncover causal pathways to desired policy outcomes.

公共政策政策设计电动汽车政策定性比较分析