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Replication data for: Collaborative and Adversarial Policy Networks

Harvard Dataverse (Africa Rice Center, Bioversity International, CCAFS, CIAT, IFPRI, IRRI and WorldFish)

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Title Replication data for: Collaborative and Adversarial Policy Networks
 
Identifier https://doi.org/10.7910/DVN/27456
 
Creator Ingold, Karin
 
Publisher Harvard Dataverse
 
Description 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.
 
Date 2014