Levelling Up the UK : If not the Conservatives, will Labour Learn the Lessons from Past Policy Failings?
Article Swipe
P. H. Diamond
,
David Richards
,
Anna Sanders
,
Andy Westwood
·
YOU?
·
· 2023
· Open Access
·
· DOI: https://doi.org/10.1111/1467-923x.13234
YOU?
·
· 2023
· Open Access
·
· DOI: https://doi.org/10.1111/1467-923x.13234
This article considers the levelling‐up agenda in the UK, examining the Johnson government's original proposals to tackle regional and local inequality and its continuation under new Prime Minister Rishi Sunak following the short‐lived premiership of Liz Truss. The 2022 Levelling Up in the United Kingdom White Paper is notable for the frank and wholesale critique it provides of previous governments’—both Tory and Labour—efforts to address the pressing issue of geographic inequality. The assessment was that a pattern of ad hoc and incoherent reforms needed to be replaced by a stable, long term and system‐wide approach to change. Yet, under Johnson, Truss and now Sunak, policy churn is continuing, with an approach that falls short in following the lessons set out in the White Paper. We provide a detailed analysis of the government's critique of past reforms, the lessons it has set out and why its reform programme is likely to repeat past failings. Crucially, the approach leaves the structure of central government almost untouched, with substantive reforms instead focussed at the local governance level. We argue the government's programme perpetuates the ‘power‐hoarding’ tendencies of the Westminster model, a key bulwark against meaningfully addressing the UK's spatial inequality problem. We conclude that the levelling‐up agenda, missions and targets are unlikely to be met under Rishi Sunak, reflecting the endemic nature of short‐termism and centralisation of power in the UK's public policy approach. We then consider the approach of Starmer's Labour Party to levelling up and the issues it needs to confront if it forms the next government.
Related Topics
Concepts
Levelling
Centralisation
Government (linguistics)
Inequality
White paper
Public administration
Power (physics)
General partnership
Coalition government
Corporate governance
Political economy
Thatcherism
Sociology
Political science
Economics
Politics
Law
Management
Quantum mechanics
Physics
Mathematics
Geography
Mathematical analysis
Philosophy
Linguistics
Cartography
Metadata
- Type
- article
- Language
- en
- Landing Page
- https://doi.org/10.1111/1467-923x.13234
- https://onlinelibrary.wiley.com/doi/pdfdirect/10.1111/1467-923X.13234
- OA Status
- hybrid
- Cited By
- 12
- Related Works
- 10
- OpenAlex ID
- https://openalex.org/W4320918973
All OpenAlex metadata
Raw OpenAlex JSON
- OpenAlex ID
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https://openalex.org/W4320918973Canonical identifier for this work in OpenAlex
- DOI
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https://doi.org/10.1111/1467-923x.13234Digital Object Identifier
- Title
-
Levelling Up the
UK : If not the Conservatives, will Labour Learn the Lessons from Past Policy Failings?Work title - Type
-
articleOpenAlex work type
- Language
-
enPrimary language
- Publication year
-
2023Year of publication
- Publication date
-
2023-02-15Full publication date if available
- Authors
-
P. H. Diamond, David Richards, Anna Sanders, Andy WestwoodList of authors in order
- Landing page
-
https://doi.org/10.1111/1467-923x.13234Publisher landing page
- PDF URL
-
https://onlinelibrary.wiley.com/doi/pdfdirect/10.1111/1467-923X.13234Direct link to full text PDF
- Open access
-
YesWhether a free full text is available
- OA status
-
hybridOpen access status per OpenAlex
- OA URL
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https://onlinelibrary.wiley.com/doi/pdfdirect/10.1111/1467-923X.13234Direct OA link when available
- Concepts
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Levelling, Centralisation, Government (linguistics), Inequality, White paper, Public administration, Power (physics), General partnership, Coalition government, Corporate governance, Political economy, Thatcherism, Sociology, Political science, Economics, Politics, Law, Management, Quantum mechanics, Physics, Mathematics, Geography, Mathematical analysis, Philosophy, Linguistics, CartographyTop concepts (fields/topics) attached by OpenAlex
- Cited by
-
12Total citation count in OpenAlex
- Citations by year (recent)
-
2024: 9, 2023: 3Per-year citation counts (last 5 years)
- Related works (count)
-
10Other works algorithmically related by OpenAlex
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