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Narratives of climate risks in relation to housing
Mid Sweden University, Faculty of Human Sciences, Department of Social Sciences. (Forum for gender studies (FGV))
Mid Sweden University, Faculty of Human Sciences, Department of Business, Economics and Law. (Centrum för forskning om ekonomiska relationer (CER))ORCID iD: 0000-0001-7763-0391
2016 (English)Conference paper, Abstract (Other academic)
Abstract [en]

This qualitative study is a part of the research project The insurance industry and climate change: Short- and long-term consequences of home owner's understandings of risk, ability to pay and risk behaviour. The purpose of this paper is to get a deeper understanding of how homeowners’ construct risk of climate change in relation their own homes. Interviews with 27 households including 35 individuals in five regions in Sweden have been made. The interviewees live in one family houses; some in old ones and others in new built houses, some live at the countryside and others in cities. The thematic narrative analysis of the results reveal that social categories such as gender, class, age, educational level and geographic setting intersect in the construction of risk. Several different narratives are discovered in the material, in which the construction of risk of climate change in relation to the homes of the narrators is made in altered ways.

Place, publisher, year, edition, pages
2016.
National Category
Social Sciences
Identifiers
URN: urn:nbn:se:miun:diva-28060OAI: oai:DiVA.org:miun-28060DiVA: diva2:941700
Conference
Åre Risk Event, 14-16 June 2016, Åre, Sweden.
Projects
The insurance industry and climate change: Short- and long-term consequences of home owner's understandings of risk, ability to pay and risk behaviour.
Note

Finansieras av Stiftelsen Länsförsäkringsbolagens Forskningsfond

Available from: 2016-06-22 Created: 2016-06-22 Last updated: 2016-07-01Bibliographically approved

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CiteExportLink to record
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Citation style
  • apa
  • ieee
  • modern-language-association-8th-edition
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Language
  • de-DE
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  • en-US
  • fi-FI
  • nn-NO
  • nn-NB
  • sv-SE
  • Other locale
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Output format
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  • text
  • asciidoc
  • rtf