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Does descriptive representation increase perceptions of legitimacy? Evidence from Australia

Bibliographic Data

ID6233941
AuthorsFeodor Snagovsky (0000-0001-6452-1516, University of Alberta, corresponding author), Woo Chang Kang (0000-0002-8033-2288, Korea University), Jill Sheppard (0000-0002-9150-2780, Australian National University), Nicholas Biddle (0000-0002-4765-4445, Australian National University)
Year2020
Volume55
Issue4
Pages378-398
Publication date2020-10-01
Peer ReviewedYes
Open AccessNo
TypeARTICLE
VenueAustralian Journal of Political Science (JOURNAL)
Journal identifiersISSN: 1036-1146 • E-ISSN: 1363-030X
PublisherInforma UK Limited (PUBLISHER • GB)
DOI10.1080/10361146.2020.1804834
OpenAlexW3048459818
LanguageEN
Citations received7
References cited56

How does the descriptive representation of ethnic minorities affect how voters feel about the responsiveness of government? While there are many theoretical arguments that descriptive representation increases perceptions of legitimacy, the empirical evidence of this link is limited. We use survey data from the Australian Election Study and a separate conjoint experiment to evaluate whether the presence of ethnic minority candidates changes voters' perceptions of government responsiveness. We find ethnic minority Australians do not appear to have higher levels of external efficacy when voting for an ethnic minority candidate. By contrast, white-Anglo respondents have lower levels of external efficacy when voting for a non-Anglo candidate. The results inform the continuing debate on how group consciousness affects political behavior

Affect (linguistics · Descriptive research · Ethnic group · Government (linguistics · Legitimacy · Perception · Political science · Politics · Representation (politics · Social science · Sociology · Voting · Electoral Systems and Political Participation · Gender Politics and Representation · Law · Psychology · Social and Intergroup Psychology · Social Psychology

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Unique citing works7
Citations per year2,33
Citation span2023 - 2026 (4)
Citation velocitycurrent
Highly citedNo
Citation typesNeutral: 7

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