Hick, Rod ORCID: https://orcid.org/0000-0002-1218-0809 and Burchardt, Tania 2017. Inequality, advantage and the capability approach. Journal of Human Development and Capabilities 10.1080/19452829.2017.1395396 |
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Abstract
Inequality has acquired a newfound prominence in academic and political debate. While scholars working with the capability approach (CA) have succeeded in influencing the conceptualisation and measurement of poverty, which is increasingly understood in multidimensional terms, recent scholarship on inequality focusses overwhelmingly on economic forms of inequality, and especially on inequalities in income and wealth. In this paper we outline how the conceptual framework of the CA (focusing on ends rather than means, multidimensionality, and recognising the value of freedoms as well as attained functionings) has the potential to enrich the study of distributional inequality through offering a rationale for why inequality matters, exploring the association between different forms of inequality, and providing an analysis of power. But applying the CA in the context of advantage exacerbates some existing challenges to the approach (defining a capability list, and the non-observability of capabilities) and brings some fresh ones (especially insensitivity at the top of the distribution). We recommend a stronger and clearer distinction between concepts and measures. Capability inequality is a more appropriate and potentially revealing conceptual apparatus, but economic resources are likely to remain a crucial metric for understanding distributional inequality for the forseeable future.
Item Type: | Article |
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Date Type: | Published Online |
Status: | Published |
Schools: | Social Sciences (Includes Criminology and Education) |
Subjects: | H Social Sciences > H Social Sciences (General) H Social Sciences > HN Social history and conditions. Social problems. Social reform |
Publisher: | Taylor & Francis |
ISSN: | 1945-2829 |
Date of First Compliant Deposit: | 30 November 2017 |
Date of Acceptance: | 1 November 2017 |
Last Modified: | 24 Nov 2024 16:00 |
URI: | https://orca.cardiff.ac.uk/id/eprint/106524 |
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