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Does learning matter for policy outcomes? The case of integrating climate finance into the EU budget

Bibliographic Data

ID6289600
AuthorsKatharina Rietig (0000-0002-4226-5766, Newcastle University, corresponding author), Richard Perkins (0000-0002-4963-6494, London School of Economics and Political Science)
Year2018
Volume25
Issue4
Pages487-505
Publication date2018-04-03
Peer ReviewedYes
Open AccessNo
TypeARTICLE
VenueJournal of European Public Policy (JOURNAL)
Journal identifiersISSN: 1350-1763 • E-ISSN: 1466-4429
PublisherInforma UK Limited (PUBLISHER • GB)
DOI10.1080/13501763.2016.1270345
OpenAlexW2561905664
LanguageEN
Citations received24
References cited35

A considerable body of work has invoked learning in seeking to explain observed patterns of EU policy change. This contribution scrutinizes the relevance of learning for understanding policy outcomes. We apply a consolidated framework based on factual, experiential and constructivist learning across the individual and organizational levels to examine the unlikely policy outcome of dedicating 20% of the EU 2014–2020 budget to climate action. Learning did play some role in the policy outcome, in that the belief that climate policy integration (CPI) was an appropriate instrument to address climate change was the result of constructivist learning over the preceding decade. However, this learning was restricted to a handful of policy entrepreneurs in Cabinet/DG Clima, who largely 'pushed' the policy through based on pre-existing convictions. Conversely, beyond some experiential learning, there is little evidence that learning was a significant feature of the policy process amongst actors in other European institutions

Economics · Experiential learning · Policy learning · Political science · Relevance (law · Computer Science · European Union Policy and Governance · Policy Transfer and Learning · Sustainability and Climate Change Governance

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Unique citing works24
Citations per year3
Citation span2018 - 2026 (9)
Citation velocitycurrent
Highly citedNo
Citation typesNeutral: 24

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