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Cited by 317

The DOI matches its Crossref record; 37 of the 37 references it cites were found in a registry or an index.

Welfare regimes and the welfare mix

Powell, Martin, Barrientos, Armando·2004·European Journal of Political Research

Abstract

We present a different approach to appraising welfare regimes, stressing different dimensions, variables and techniques to those used by Esping‐Andersen in his path‐breaking work entitled The Three Worlds of Welfare Capitalism . First, instead of focusing on social rights, we construct an alternative path to identifying welfare regimes starting from the welfare mix. Second, we incorporate active labour market policies (ALMP) as a key variable of the welfare mix. Third, we use hierarchical and k‐means cluster analysis to identify welfare regimes in the data. Fourth, we compare regimes over time. Nevertheless, despite these different approaches, we conclude, like Esping‐Andersen, that there are three clusters or worlds of welfare capitalism. We also find that the clustering of welfare regimes was sharper in the mid‐1990s as compared to the mid‐1980s, but that comparing welfare regimes in the 1980s with the 1990s indicates strong path‐dependence. Faced with high and persistent levels of unemployment in the 1990s, OECD countries have adopted policies, including ALMP, which reinforce their welfare mix.

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Metadata

Authors
Powell, M., & Barrientos, A.
Venue
European Journal of Political Research
Published
2004-01
Volume
43
Issue
1
Pages
83-105
ISSN
  • 0304-4130 (ISSN-L)
  • 1475-6765
OpenAlex
W2049677951
Cited by
317
References
37
FWCI
55.77
Type
journal article
Language
en
Open access
closed

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CoChat. (2026). Citation check: Welfare regimes and the welfare mix. https://app.cochat.ai/papers/10.1111/j.1475-6765.2004.00146.x
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Powell, M., & Barrientos, A. (2004). Welfare regimes and the welfare mix. European Journal of Political Research. https://doi.org/10.1111/j.1475-6765.2004.00146.x

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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.