dateReleased: |
01-20-2016
|
downloadURL: | http://dx.doi.org/10.7910/DVN/27427 |
ID: |
doi:10.7910/DVN/27427
|
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.
|
description: |
Ingold Karin, 2014, "Replication data for: Swiss Climate Data Second Period", http://dx.doi.org/10.7910/DVN/27427, Harvard Dataverse, V2 [UNF:6:agrnQnH86oRB/yOd+p8V4A==]
|
name: |
Ingold Karin
|
homePage: | http://www.harvard.edu/ |
name: |
Harvard University
|
ID: |
SCR:011273
|
abbreviation: |
DataVerse
|
homePage: | http://thedata.org/ |
name: |
Dataverse Network Project
|
ID: |
SCR:001997
|
Replication data for: Swiss Climate Policy...
Replication data for: Collaborative and Adversarial Policy Networks...
Replication data for: Swiss Telecommunications Implementation...
Replication data for: Varying Responses to Common Shocks and Complex Cross-...
Replication data for: Regional Flood Prevention Switzerland...
1970 British Cohort Study: Thirty-Eight-Year Follow-up, 2008-2009...