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Replication Data for: Learning in European Administrative Networks: a process to all or only to a few?

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

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Title Replication Data for: Learning in European Administrative Networks: a process to all or only to a few?
 
Identifier https://doi.org/10.7910/DVN/CTLGF9
 
Creator Soares, Ana Carolina
 
Publisher Harvard Dataverse
 
Description Through the pooling and exchange of resources such as expertise, best practices, and knowledge between network participants, European Administrative Networks (EANs) are expected to play a significant role in enhancing policy learning. Yet, scarce empirical evidence has been presented concerning the learning process taking place within EANs. This paper addresses this gap through the analysis of the Network of the Heads of European Environmental Protection Agencies (EPA Network). Based on a unique survey dataset, social network analysis and exponential random graph models are used to trace the interaction patterns within the network and test which factors shape them. The analysis highlights the relevance of national political factors – i.e. the preferences of national governments and ministries – in shaping the learning processes taking place in the EPA Network. While the network is an important venue for disseminating knowledge between directly and indirectly connected actors, learning processes are mainly limited to like-minded peers.
 
Subject Social Sciences
Social Network Analysis
Exponential Random Graph Models
Transgovernmental networks
Environmental performance
Political preference
 
Date 2024-01-08
 
Contributor Soares, Ana Carolina