IDEAS home Printed from https://ideas.repec.org/a/taf/jriskr/v25y2022i4p501-519.html
   My bibliography  Save this article

The influence of socio-economic status on risk prioritisation

Author

Listed:
  • Anita Etale
  • Priska Ammann
  • Michael Siegrist

Abstract

This study examined the influence of socioeconomic status (SES) on risk prioritisation. Participants ranked 28 hazards according to how risky they considered them to be for the South African society. The results showed SES had an influence on hazard prioritisation, e.g., alcohol was considered the most significant societal hazard by low SES individuals, but was ranked 10th by high SES individuals. High SES individuals on the other hand, were significantly more concerned than low SES individuals about personal security risks. A second aim of the study was to delineate the interaction between SES and gender, and whether this also influenced risk perception. The data revealed statistically significant interactions between gender and SES for a number of hazards including personal security hazards, government corruption, climate change, and alcohol. SES influenced risk perceptions even at the level of gender so that individuals of similar gender but different SES perceived risks from the same hazard disparately. This suggests that people’s socioeconomic status influenced how they perceived risks, irrespective of gender. Together, these findings suggest that SES is an important determinant of people’s risk perceptions, and that it can modify even the effects of gender. These findings also have practical implications because they imply that risk perceptions are not similar between socio-economic groupings. As such, assessments derived in high SES or developed contexts may not adequately describe low SES or developing contexts. Context-relevant data are, therefore, key to successful risk management and communication.

Suggested Citation

  • Anita Etale & Priska Ammann & Michael Siegrist, 2022. "The influence of socio-economic status on risk prioritisation," Journal of Risk Research, Taylor & Francis Journals, vol. 25(4), pages 501-519, April.
  • Handle: RePEc:taf:jriskr:v:25:y:2022:i:4:p:501-519
    DOI: 10.1080/13669877.2021.1958046
    as

    Download full text from publisher

    File URL: http://hdl.handle.net/10.1080/13669877.2021.1958046
    Download Restriction: Access to full text is restricted to subscribers.

    File URL: https://libkey.io/10.1080/13669877.2021.1958046?utm_source=ideas
    LibKey link: if access is restricted and if your library uses this service, LibKey will redirect you to where you can use your library subscription to access this item
    ---><---

    As the access to this document is restricted, you may want to search for a different version of it.

    Citations

    Citations are extracted by the CitEc Project, subscribe to its RSS feed for this item.
    as


    Cited by:

    1. Gabriele Prati & Iana Tzankova & Cinzia Albanesi & Elvira Cicognani, 2022. "Longitudinal Predictors of Perceived Climate Change Importance and Worry among Italian Youths: A Machine Learning Approach," Sustainability, MDPI, vol. 14(23), pages 1-19, November.

    More about this item

    Statistics

    Access and download statistics

    Corrections

    All material on this site has been provided by the respective publishers and authors. You can help correct errors and omissions. When requesting a correction, please mention this item's handle: RePEc:taf:jriskr:v:25:y:2022:i:4:p:501-519. See general information about how to correct material in RePEc.

    If you have authored this item and are not yet registered with RePEc, we encourage you to do it here. This allows to link your profile to this item. It also allows you to accept potential citations to this item that we are uncertain about.

    We have no bibliographic references for this item. You can help adding them by using this form .

    If you know of missing items citing this one, you can help us creating those links by adding the relevant references in the same way as above, for each refering item. If you are a registered author of this item, you may also want to check the "citations" tab in your RePEc Author Service profile, as there may be some citations waiting for confirmation.

    For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: Chris Longhurst (email available below). General contact details of provider: http://www.tandfonline.com/RJRR20 .

    Please note that corrections may take a couple of weeks to filter through the various RePEc services.

    IDEAS is a RePEc service. RePEc uses bibliographic data supplied by the respective publishers.