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The drivers of regulatory networking: Policy learning between homophily and convergence

Research output: Contribution to journalArticle

Original languageEnglish
Pages (from-to)443-464
Number of pages22
JournalJournal Of Public Policy
Volume39
Issue number3
Early online date19 Jun 2018
DOIs
Accepted/In press20 Apr 2018
E-pub ahead of print19 Jun 2018
PublishedSep 2019

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King's Authors

Abstract

The literature on transnational regulatory networks identified interdependence as their main rationale, downplaying domestic factors. Typically, relevant contributions use the word network only metaphorically. Yet, informal ties between regulators constitute networked structures of collaboration, which can be measured and explained. Regulators choose their frequent, regular network partners. What explains those choices? This article develops an Exponential Random Graph Model of the network of European national energy regulators to identify the drivers of informal regulatory networking. The results show that regulators tend to network with peers who regulate similarly organised market structures. Geography and European policy frameworks also play a role. Overall, the British regulator is significantly more active and influential than its peers, and a divide emerges between regulators from EU-15 and others. Therefore, formal frameworks of cooperation (i.e. a European Agency) were probably necessary to foster regulatory coordination across the EU.

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