IDEAS home Printed from https://ideas.repec.org/p/iae/iaewps/wp2024n12.html
   My bibliography  Save this paper

Climate-related disaster risk in Australia: Are risks higher for disadvantaged households?

Author

Listed:
  • Antonia Settle

    (School of Social Sciences, Monash University)

  • Federico Zilio

    (Melbourne Institute: Applied Economic & Social Research, The University of Melbourne)

  • Usha Nattala

    (Melbourne Data Analytics Platform, The University of Melbourne)

  • Meladel Mistica

    (Melbourne Data Analytics Platform, The University of Melbourne)

Abstract

As climate change generates more damaging weather-related events more often, the question of who bears intensifying disaster risk becomes increasingly pertinent. Drawing on disaster sociology and quantitative studies of disaster impacts in real estate markets, this paper contributes to research efforts to explore distributional questions of climate risk. We examine an actual flood event in an area of Australia that is increasingly recognized as vulnerable to rising flood risk. Our analysis combines geospatial analysis of flooding in residential areas, household level socio-economic data and data on house prices to identify socio-economic patterns in the impacts of a flooding disaster that indicate broader patterns in flood risk exposure and resilience, with implications for longer term dynamics of climate-related inequality. Our results show not only that risk exposure was greatest amongst the most disadvantaged communities but also that the most disadvantaged incurred substantially greater losses in comparison to equally flooded locations in wealthier areas, indicating exacerbated balance sheet losses on the part of disadvantaged households who are pushed into acute financial distress as a result of the floods. Variation in both risk exposure and impacts reflect that the costs borne as a result of climate-related disasters play out distinctly amongst different socio-economic groups. Our analysis of key data sources at a high level of granularity contributes to much needed empirical research on the socio-economic distribution of unfolding climate-related risks outside of heavily studied US locations.

Suggested Citation

  • Antonia Settle & Federico Zilio & Usha Nattala & Meladel Mistica, 2024. "Climate-related disaster risk in Australia: Are risks higher for disadvantaged households?," Melbourne Institute Working Paper Series wp2024n12, Melbourne Institute of Applied Economic and Social Research, The University of Melbourne.
  • Handle: RePEc:iae:iaewps:wp2024n12
    as

    Download full text from publisher

    File URL: https://melbourneinstitute.unimelb.edu.au/publications/working-papers/search/result?paper=5117388
    Download Restriction: no
    ---><---

    More about this item

    Keywords

    climate risk; natural disasters; socio-economic distribution; housing prices;
    All these keywords.

    JEL classification:

    • I32 - Health, Education, and Welfare - - Welfare, Well-Being, and Poverty - - - Measurement and Analysis of Poverty
    • Q54 - Agricultural and Natural Resource Economics; Environmental and Ecological Economics - - Environmental Economics - - - Climate; Natural Disasters and their Management; Global Warming
    • R11 - Urban, Rural, Regional, Real Estate, and Transportation Economics - - General Regional Economics - - - Regional Economic Activity: Growth, Development, Environmental Issues, and Changes
    • R23 - Urban, Rural, Regional, Real Estate, and Transportation Economics - - Household Analysis - - - Regional Migration; Regional Labor Markets; Population
    • R31 - Urban, Rural, Regional, Real Estate, and Transportation Economics - - Real Estate Markets, Spatial Production Analysis, and Firm Location - - - Housing Supply and Markets

    NEP fields

    This paper has been announced in the following NEP Reports:

    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:iae:iaewps:wp2024n12. 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: Sheri Carnegie (email available below). General contact details of provider: https://edirc.repec.org/data/mimelau.html .

    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.