Policy transfer as learning – capturing variation in what decision-makers learn from epistemic communities

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Policy transfer as learning – capturing variation in what decision-makers learn from epistemic communities

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dc.contributor.author Dunlop, Claire A en_GB
dc.date.accessioned 2009-07-01T14:04:44Z en_GB
dc.date.accessioned 2011-01-25T11:43:26Z en_US
dc.date.accessioned 2013-03-20T16:02:31Z
dc.date.issued 2009-06 en_GB
dc.description.abstract Almost two decades ago, Peter M. Haas formulated the epistemic community framework as a method for investigating the influence of knowledge-based experts in international policy transfer. Specifically, the approach was designed to address decision-making instances characterized by technical complexity and uncertainty. Control over the production of knowledge and information enables epistemic communities to articulate cause and effect relationships and so frame issues for collective debate and export their policy projects globally. Remarkably, however, we still know very little about the variety of ways in which decisionmakers actually learn from epistemic communities. This article argues that variety is best captured by differentiating the control enjoyed by decision-makers and epistemic communities over the production of substantive knowledge (or means) that informs policy from the policy objectives (or ends) to which that knowledge is directed. The implications of this distinction for the types of epistemic community decision-maker learning exchanges that prevail are elaborated using a typology of adult learning from the education literature which delineates four possible learning situations. This typology is then applied to a comparative study of US and EU decision-makers’ interaction with the epistemic community that formed around the regulation of the biotech milk yield enhancer bovine somatotrophin (rbST) to illustrate how the learning types identified in the model play out in practice. en_GB
dc.description.sponsorship This article is based on doctoral research funded by Economic and Social Research Council (ESRC) studentship R00429834387. Previous versions were presented at the ECPR joint sessions in Rennes on 11-16 April 2008 and British International Studies Association (BISA) annual conference at the University of Exeter on 15-17 December 2008. The author is grateful to the participants of workshop 23 (on ‘The Politics of Evidence-based Policy-making’) and panel 3.5 (Epistemic Communities, International Experiences and Policy Transfer) respectively for their constructive comments and feedback. Particular thanks are extended to Peter Haas, Hanne Foss Hansen, Atsushi Ishii, Oliver James, Sara Kutchesfahani, Simone Ledermann, Mark Monaghan, Claudio Radaelli, Fritz Sager and John Turnpenny for their helpful suggestions. The usual disclaimer applies. en_GB
dc.identifier.citation 30 (3) en_GB
dc.identifier.doi 10.1080/01442870902863869 en_GB
dc.identifier.uri http://hdl.handle.net/10036/72153 en_GB
dc.language.iso en en_GB
dc.publisher Taylor & Francis en_GB
dc.relation.url http://www.tandf.co.uk/journals/titles/01442872.asp en_GB
dc.relation.url http://www.informaworld.com/smpp/title~content=t713442426~db=all en_GB
dc.subject Epistemic communities en_GB
dc.subject Policy transfer en_GB
dc.subject Knowledge production en_GB
dc.subject policy learning en_GB
dc.subject Bovine somatotrophin (rbST) en_GB
dc.subject Biotechnology en_GB
dc.title Policy transfer as learning – capturing variation in what decision-makers learn from epistemic communities en_GB
dc.type Article en_GB
dc.date.available 2009-07-01T14:04:44Z en_GB
dc.date.available 2011-01-25T11:43:26Z en_US
dc.date.available 2013-03-20T16:02:31Z
dc.identifier.issn 0144-2872 en_GB
dc.description 18 month embargo by the publisher: article will be released December 2010. en_GB
dc.identifier.eissn 1470-1006 en_GB
dc.identifier.journal Policy Studies en_GB


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