为更好的政策设计解开机制链

G. Capano, Michael Howlett, M. Ramesh
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引用次数: 13

摘要

了解政策设计如何激励、约束和以其他方式组织政策目标的行为以实现预期结果是至关重要的,但这需要清楚地了解将政策工具与实际行为联系起来的机制。更重要的是,它需要从可以由政策工具激活的过程和相互作用方面进行推理,以实现预期的结果。因此,政策设计者——无论是研究政策的人还是实践政策的人——都必须通过设计引发的有意和无意的过程,明确规定投入(政策设计)与产出之间的联系。许多现有的分析工作只关注于阐明良好的政策设计需要什么,而忽略了良好的政策设计是如何发挥作用的,即可以启动哪些过程来实现(或不实现)预期的结果。因此,我们对不同的解决方案如何触发和推动预期结果的实现知之甚少。关于政策设计的文献通常基于轶事和相关性,从提出的解决方案跳到预期的结果,而没有探索政策结果的真正决定因素。本书的目的是探讨采用机械方法进行政策设计的有用性,重点关注政策设计促进或阻碍政策目标实现的实际方式。它通过关注与政策制定和政策行为相关的机制因果关系,改进了政策设计的分析和实践。因此,这本书为政策设计研究带来了过去几十年社会科学机械转向的见解。这种机械转向的部分动机是对政策学者通常使用的“类似法律”和统计解释的不满。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Disentangling the mechanistic chain for better policy design
Understanding how policy design can incentivize, constrain, and otherwise structure policy targets’ behavior to achieve desired results is vital but requires a clear understanding of the mechanisms that link policy tools to actual behavior. More importantly, it requires reasoning in terms of the processes and interactions that can be activated by policy tools to accomplish desired results. It is therefore imperative that policy designers – both those who study it and those who practice it – specify clearly the linkages between the input (policy design) and the output, via the intended and unintended processes triggered by the design. Many existing analytical efforts focus only on shedding light on what is needed for good policy design and ignore how good policy design works in terms of the types of processes that can be activated to achieve (or not) the desired results. As a result, we know little about how different solutions trigger and drive the achievement of intended outcomes. The literature on policy design is often based on anecdotes and correlations, jumping from proposed solutions to anticipated outcomes without exploring the conditions that are the real determinants of policy results. The objective of this book is to explore the usefulness of adopting a mechanistic approach to policy design, focusing on the actual ways in which policy designs can facilitate or hinder achievement of policy goals. It improves the analysis and practice of policy design by focusing on the mechanistic causation relevant to policy-making and policy behavior. The book thus brings to policy design studies the insights of the mechanistic turn in social sciences over the past few decades. This mechanistic turn is partly motivated by dissatisfaction with both the “law-like” and statistical explanations commonly employed by policy scholars.
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