Research output: Contribution to journal › Article › peer-review
Original language | English |
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Pages (from-to) | 443-464 |
Number of pages | 22 |
Journal | Journal Of Public Policy |
Volume | 39 |
Issue number | 3 |
Early online date | 19 Jun 2018 |
DOIs | |
Accepted/In press | 20 Apr 2018 |
E-pub ahead of print | 19 Jun 2018 |
Published | Sep 2019 |
Additional links |
The drivers of regulatory_VANTAGGIATO_Acc20Apr2018Epub19Jun2018_GREEN AAM
The_drivers_of_regulatory_VANTAGGIATO_.pdf, 402 KB, application/pdf
Uploaded date:19 Feb 2020
Version:Accepted author manuscript
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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