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From learning to influence

The evolution of collaboration in European Administrative Networks

Bibliographic Data

ID7880884
AuthorsFrancesca Pia Vantaggiato (0000-0003-1154-4540, King's College London, corresponding author)
Year2022
Volume29
Issue10
Pages1631-1655
Publication date2022-10-03
Peer ReviewedYes
Open AccessYes
TypeARTICLE
VenueJournal of European Public Policy (JOURNAL)
Journal identifiersISSN: 1350-1763 • E-ISSN: 1466-4429
PublisherInforma UK Limited (PUBLISHER • GB)
DOI10.1080/13501763.2022.2069843
OpenAlexW4225369296
LanguageEN
Citations received8
References cited58

Most European Administrative Networks (EANs) have been operational for over two decades. Yet, our understanding of their evolution is limited. How do EANs evolve? I formulate two hypotheses, premised on the notion that networks help actors address collective action problems by establishing social capital, whose distribution in the network changes over time to respond to changed circumstances. Using a Bayesian network model of the structure of the Council of European Energy Regulators (CEER) at two-time points (1998 and 2014), this paper shows that regulatory relationships shifted from being focused on learning to be aimed at achieving compromise in order to influence European policy-making. Rather than functional, static devices of rule harmonization, EANs are dynamic social networks that adapt to their changing environment. The paper provides a theoretical background and empirical approach to understand and analyse EANs evolution in different sectors

Compromise · Economics · Harmonization · Knowledge management · Order (exchange · Political science · Social learning · Computer Science · European Union Policy and Governance · Law · Policy Transfer and Learning · Political Influence and Corporate Strategies

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Unique citing works8
Citations per year2,67
Citation span2023 - 2025 (3)
Citation velocityrecent
Highly citedNo
Citation typesNeutral: 8
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