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Cited by 386

The DOI matches its Crossref record; 30 of the 30 references it cites were found in a registry or an index.

Policy Learning, Policy Diffusion, and the Making of a New Order

Meseguer, Covadonga·2005·The ANNALS of the American Academy of Political and Social Science

Abstract

This article surveys the role of learning as mechanism of policy diffusion in the context of the creation of a new political order. The author discusses policy learning against the background of recent research on the diffusion of deregulatory and regulatory policies and attempts to distinguish learning from other mechanisms of diffusion. She then surveys the challenges entailed in testing this mechanism and sets out her particular approach: a rational version of learning. She also reports the results of preliminary efforts to test learning as applied to the diffusion of regulatory policies. The author concludes that learning cannot be rejected as a plausible mechanism of the diffusion of policies, although it shares its explanatory role with less rational mechanisms of diffusion, in particular policy emulation. Further research and analysis is needed to test learning in either its rational or its bounded version and, in doing so, to delve into the politics of learning.

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Metadata

Authors
Meseguer, C.
Venue
The ANNALS of the American Academy of Political and Social Science
Published
2005-03
Volume
598
Issue
1
Pages
67-82
ISSN
  • 0002-7162 (ISSN-L)
  • 1552-3349
OpenAlex
W2132571705
Cited by
386
References
30
FWCI
63.32
Type
journal article
Language
en
Open access
closed

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CoChat. (2026). Citation check: Policy Learning, Policy Diffusion, and the Making of a New Order. https://app.cochat.ai/papers/10.1177/0002716204272372
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Meseguer, C. (2005). Policy Learning, Policy Diffusion, and the Making of a New Order. The ANNALS of the American Academy of Political and Social Science. https://doi.org/10.1177/0002716204272372

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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.