Abstract
Introduction: The paper outlines the connection between being disadvantaged and perceptions of democracy, through the paradigm of the capability approach. The paper briefly summarises the notion of adaptive preferences and how this can be used to explain why disadvantaged citizens are likely to hold different levels of satisfaction with democracy.
Methods: The study analyses about 3.2 million respondents from 162 cross-national surveys covering 143 countries between 1973 and 2016. This public opinion data is analysed against relative levels of economic deprivation and contrasted with five indices of democratic quality.
Results: Respondents are more satisfied with democracy as income is more equitably distributed between population quintiles. Democratic satisfaction is more sensitive to changes in income distribution for some demographic groups.Higher socioeconomic groups exhibit stronger correlations with expert indices of democratic quality.
Discussion: We find that there is evidence for the utility of the notion of adaptive preferences for understanding satisfaction with democracy. This suggests that more attention should be paid to how inequality is distributed across society, rather than just presenting analysis on how much inequality there is in various democratic societies.
Original language | English |
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Pages | 1-25 |
Publication status | Published - 2018 |
Event | IPSA 25th World Congress of Political Science - Brisbane Convention & Exhibition Centre, Brisbane, Queensland, Australia Duration: 21 Jul 2018 → 25 Jul 2018 http://www.wc2018.ipsa.org |
Conference
Conference | IPSA 25th World Congress of Political Science |
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Country/Territory | Australia |
City | Brisbane, Queensland |
Period | 21/07/18 → 25/07/18 |
Internet address |
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Dive into the research topics of 'Disadvantage and Democracy: Why Income and Education Matter for Attitudes Towards Democracy'. Together they form a unique fingerprint.Datasets
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Human Understanding Measured Across National (HUMAN) Surveys: Respondent Data
Klassen, A. (Creator), Harvard Dataverse, 2018
DOI: doi.org/10.7910/DVN/XEA5FD
Dataset
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Human Understanding Measured Across National (HUMAN) Surveys: Country-Year Data
Klassen, A. (Creator), Harvard Dataverse, 2018
DOI: 10.7910/DVN/QXZV3E
Dataset