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The DOI matches its Crossref record; 5 of the 5 references it cites were found in a registry or an index.

Policy diffusion and policy transfer

Marsh, David, Sharman, J.C.·2009·Policy Studies

Abstract

This article argues that the literatures on policy transfer and policy diffusion are complimentary, but need to focus more clearly on five key issues drawing insights from both literatures. First, work in each area can benefit from a greater focus on the changing interactions between the various mechanisms involved in diffusion/transfer. Second, the diffusion literature privileges structure, while the transfer literature privileges agency, but we need an approach which recognizes the dialectical relationship between the two. Third, the diffusion literature concentrates on pattern-finding, while the transfer literature examines process-tracing, but any full explanation of transfer/diffusion needs to do both. Fourth, both literatures suffer from skewed case selection with, in particular, too little attention paid to developing countries. Finally, while both literatures need to be interested in whether diffusion/transfer is likely to be successful/unsuccessful, neither considers any criteria that might be used to establish policy success and failure.

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Metadata

Authors
Marsh, D., & Sharman, J. C.
Venue
Policy Studies
Published
2009-06
Volume
30
Issue
3
Pages
269-288
ISSN
  • 0144-2872 (ISSN-L)
  • 1470-1006
OpenAlex
W2052684449
Cited by
691
References
5
FWCI
76.65
Type
journal article
Language
en
Open access
closed

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CoChat. (2026). Citation check: Policy diffusion and policy transfer. https://app.cochat.ai/papers/10.1080/01442870902863851
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Marsh, D., & Sharman, J. C. (2009). Policy diffusion and policy transfer. Policy Studies. https://doi.org/10.1080/01442870902863851

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Bibliographic data: Semantic Scholar, OpenAlex, Crossref.

Contains information from the Semantic Scholar Academic Graph Datasets, made available under the ODC Attribution License (ODC-BY 1.0).

Semantic Scholar’s data is described in: Kinney, R., et al. (2023). The Semantic Scholar Open Data Platform. arXiv:2301.10140.