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What is policy failure? A primer to help navigate the maze

McConnell, Allan·2015·Public Policy and Administration

Abstract

The discipline of public policy has struggled to come to terms with how we may conceive of ‘policy failure’. It tends to assume either that failure is self-evident or that it can be assessed by means of examining the gap between government goals and outcomes. Often, there are multiple caveats that seem too difficult to address – particularly the role of perceptions, which in turn are often dependent on whether or not the policy is supported. This ground-breaking article builds on and refines existing literature. It turns on its head the multiple methodological challenges surrounding what constitutes policy failure (such as competing goals and variance over time) and suggests that such seemingly impenetrable challenges actually help illuminate our understanding. In doing so, it argues that once we conceive of studying policy failure as ‘art and craft’, we are better placed to navigate the messy realpolitik of types and degrees of failure, as well as ambiguities and tensions between them. The groundwork for doing so is based on a working definition of failure, namely that a policy fails, even if it is successful in some minimal respects, if it does not fundamentally achieve the goals that proponents set out to achieve, and opposition is great and/or support is virtually non-existent.

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Metadata

Authors
McConnell, A.
Venue
Public Policy and Administration
Published
2015-02-04
Volume
30
Issue
3-4
Pages
221-242
ISSN
  • 0952-0767 (ISSN-L)
  • 1749-4192
OpenAlex
W2325912084
Cited by
289
References
0
FWCI
28.68
Type
journal article
Language
en
Open access
closed

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CoChat. (2026). Citation check: What is policy failure? A primer to help navigate the maze. https://app.cochat.ai/papers/10.1177/0952076714565416
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McConnell, A. (2015). What is policy failure? A primer to help navigate the maze. Public Policy and Administration. https://doi.org/10.1177/0952076714565416

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