Abstract (may include machine translation)
Scholars studying democracy are just beginning to investigate the specifically political consequences of rising socio-economic inequalities. This paper analyses whether the degree of political inequality between social groups is shaped by features of the welfare capitalist system. Specifically, we hypothesize that more labour protection and social support decrease participatory inequality via more evenly distributed resources and engagement between high-and low educated citizens. Our regression analyses combining micro-and macro-level data from 37 capitalist democracies over the past 20 years provide evidence that some protective and supportive elements of welfare capitalism reduce education-based participatory inequality. Our fuzzy-set Qualitative Comparative Analysis identifies three functionally equivalent types of welfare capitalism that all producelow participatory inequality via increased protection, support or both. Finally,we empirically demonstrate that the mechanisms behind this link are, indeed, a more equal distribution of resources and engagement across low-and high educated citizens.
Original language | English |
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Article number | mwu010 |
Pages (from-to) | 437-462 |
Number of pages | 26 |
Journal | Socio-Economic Review |
Volume | 12 |
Issue number | 2 |
DOIs | |
State | Published - Apr 2014 |
Keywords
- Capitalism
- Comparative politics
- Democracy
- Democratic
- Inequality
- Labour market institutions
- QCA
Fingerprint
Dive into the research topics of 'Forms of welfare capitalism and education-based participatory inequality'. Together they form a unique fingerprint.Prizes
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Annual Award for the Best Paper published in 2014 in Socio- Economic Review
Schneider, C. Q. (Recipient), 2015
Prize: Prize, award or honor
Datasets
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Replication Data and Online Appendix to 'Forms of Welfare Capitalism and Education-based Participatory Inequality'
Schneider, C. Q. (Creator) & Makszin, K. (Creator), Harvard Dataverse, 27 Jan 2014
DOI: 10.7910/dvn/24456, https://dataverse.harvard.edu/citation?persistentId=doi:10.7910/DVN/24456
Dataset