Replication data for: Collaborative and Adversarial Policy Networks

The central assumption in the literature on collaborative networks and policy networks is that political outcomes are affected by a variety of state and non-state actors. Some of these actors are more powerful than others and can therefore have a considerable effect on decision-making. In this article, we seek to provide a structural and institutional explanation for these power differentials in policy networks and support the explanation with empirical evidence. We use a dyadic measure of influence reputation as a proxy for power, and posit that influence reputation over the political outcome is related to vertical integration into the political system by means of formal decision-making authority, and to horizontal integration by means of being well-embedded into the policy network. This study includes data from we compare five cases about climate (two periods), telecommunications, flood prevention, and toxic chemicals politics in Switzerland and Germany.

协作网络与政策网络研究领域的核心假设为：政治结果受各类国家与非国家行为体的影响。其中部分行为体相较其他行为体拥有更强影响力，因此可对决策进程产生显著作用。本文旨在为政策网络中的这类权力差异提供结构与制度层面的解释，并以实证证据支撑该解释框架。本文采用影响力声誉的二元测度作为权力的代理变量，并提出如下命题：对政治结果的影响力声誉，既与通过正式决策权限实现的政治系统纵向整合相关，也与通过深度嵌入政策网络实现的横向整合相关。本研究纳入瑞士与德国的五组对比案例数据，涵盖气候政策（两个时段）、电信、防洪以及有毒化学品政治议题。