How do Australian policymakers frame the causes of and policy solutions to poverty? A critical examination of Anti‐Poverty Week parliamentary debates from 2012 to 2021.

  • Published In: Australian Journal of Social Issues (John Wiley & Sons, Inc. ), 2023, v. 58, n. 3. P. 592 1 of 3

  • Database: Academic Search Ultimate 2 of 3

  • Authored By: Mendes, Philip; Roche, Steven 3 of 3

Abstract

In recent decades, poverty has increasingly been marginalised in Australian policy discourse. One strategy used by social justice advocates to revitalise a poverty policy agenda has been the annual Anti‐Poverty Week campaign, which aims to stimulate community debate around policy innovations to relieve poverty. This paper analyses the Commonwealth parliamentary debates around Anti‐Poverty Week for 10 years from 2012 to 2021. We analyse and compare how politicians from three political parties – the Liberal and National Party Coalition, the Australian Labor Party and The Australian Greens – identified the key statistics for and groups in poverty, their sources of evidence, the consequences of poverty for those affected, the causes of poverty including whether or not disadvantage was linked to wider structural inequities, and the framing of poverty and potential policy solutions. Some conclusions are drawn from these findings about potential strategies for reinvigorating the poverty debate. [ABSTRACT FROM AUTHOR]

Additional Information

  • Source:Australian Journal of Social Issues (John Wiley & Sons, Inc. ). 2023/09, Vol. 58, Issue 3, p592
  • Document Type:Article
  • Subject Area:Social Sciences and Humanities
  • Publication Date:2023
  • ISSN:0157-6321
  • DOI:10.1002/ajs4.254
  • Accession Number:172425308
  • Copyright Statement:Copyright of Australian Journal of Social Issues (John Wiley & Sons, Inc. ) is the property of Wiley-Blackwell and its content may not be copied or emailed to multiple sites without the copyright holder's express written permission. Additionally, content may not be used with any artificial intelligence tools or machine learning technologies. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract. (Copyright applies to all Abstracts.)

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