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Cited by 519

The DOI matches its Crossref record; 7 of the 7 references it cites were found in a registry or an index.

A Critique of the Use of Path Dependency in Policy Studies

Kay, Adrian·2005·Public Administration

Abstract

Path dependency is an important notion in diachronic approaches to understanding social and political processes. The first section of this paper examines the application of path dependency to policy studies; the advantages of the concept in understanding policy development are highlighted by examples from pension policy and social housing policy in the UK, and the EU budget. The next section considers several criticisms of path dependency: (1) it is a fashionable label for the intuition that ‘history matters’ without a clear and convincing account of decision-making over time; (2) it explains only stability and not change; (3) its normative implications are confused and mostly left unexplored. The final section concludes that path dependency, despite being theoretically inchoate and difficult to operationalize empirically, is a valid and useful concept for policy studies. However, its proper application demands sensitivity from scholars to other temporal dynamics that may operate in policy development.

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Metadata

Authors
Kay, A.
Venue
Public Administration
Publisher
Wiley
Published
2005-08
Volume
83
Issue
3
Pages
553-571
ISSN
  • 0033-3298 (ISSN-L)
  • 1467-9299
OpenAlex
W2000582510
Cited by
519
References
7
FWCI
67.28
Type
journal article
Language
en
Open access
closed

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CoChat. (2026). Citation check: A Critique of the Use of Path Dependency in Policy Studies. https://app.cochat.ai/papers/10.1111/j.0033-3298.2005.00462.x
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Kay, A. (2005). A Critique of the Use of Path Dependency in Policy Studies. Public Administration. https://doi.org/10.1111/j.0033-3298.2005.00462.x

Data sources

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.