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与专家合作:科学与政策的互动以及斯德哥尔摩拥堵收费政策的引入

Engaging Experts: Science-Policy Interactions and the Introduction of Congestion Charging in Stockholm.

作者信息

Broström Anders, McKelvey Maureen

机构信息

1Department of Industrial Economics and Management, KTH Royal Institute of Technology, Stockholm, Sweden.

2Institute of Innovation and Entrepreneurship, Department of Economy and Society, School of Business, Economics and Law, University of Gothenburg, Gothenburg, Sweden.

出版信息

Minerva. 2018;56(2):183-207. doi: 10.1007/s11024-017-9331-3. Epub 2017 Jul 31.

Abstract

This article analyzes the conditions for mobilizing the science base for development of public policy. It does so by focusing upon the science-policy interface, specifically the processes of direct interaction between scientists and scientifically trained experts, on the one hand, and agents of policymaking organizations, on the other. The article defines two dimensions - cognitive distance and expert autonomy - which are argued to influence knowledge exchange, in such a way as to shape the outcome. A case study on the implementation of congestion charges in Stockholm, Sweden, illustrates how the proposed framework pinpoints three central issues for understanding these processes: (1) Differentiating the roles of, e.g., a science-based consultancy firm and an academic environment in policy formation; (2) Examining the fit between the organizational form of the science-policy interface and the intended goals; and (3) Increasing our understanding of when policymaker agents themselves need to develop scientific competence in order to interact effectively with scientific experts.

摘要

本文分析了调动科学基础以促进公共政策发展的条件。其做法是聚焦于科学与政策的界面,具体而言,一方面是科学家和受过科学训练的专家之间的直接互动过程,另一方面是政策制定组织的人员之间的直接互动过程。本文定义了两个维度——认知距离和专家自主性——认为它们会以影响结果的方式影响知识交流。瑞典斯德哥尔摩拥堵收费实施情况的案例研究,说明了所提出的框架如何确定理解这些过程的三个核心问题:(1)区分例如基于科学的咨询公司和学术环境在政策形成中的作用;(2)审视科学与政策界面的组织形式与预期目标之间的契合度;(3)增进我们对政策制定者何时需要自身发展科学能力以便与科学专家有效互动的理解。

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本文引用的文献

1
Network analysis in the social sciences.社会科学中的网络分析。
Science. 2009 Feb 13;323(5916):892-5. doi: 10.1126/science.1165821.
2
Knowledge systems for sustainable development.可持续发展的知识体系。
Proc Natl Acad Sci U S A. 2003 Jul 8;100(14):8086-91. doi: 10.1073/pnas.1231332100. Epub 2003 May 30.

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