The effect of home ownership on the independence and participation of Kurdish women in society. A quantitative study of Sanandaj in Iran.

  • Published In: Studies In Ethnicity & Nationalism, 2023, v. 23, n. 3. P. 369 1 of 3

  • Database: Academic Search Ultimate 2 of 3

  • Authored By: Karami, Sonya; Hamelink, Wendelmoet 3 of 3

Abstract

Housing is a great family asset, especially in developing countries. Since economic resources bring social and political power, home ownership can be very influential in enhancing people's socio‐political power. The benefits of home ownership become even more notable among groups of people who were deprived of such power. In Sanandaj, home ownership shows a much lower rate among women than among men, and it is therefore interesting to know whether an increase would empower women and in what ways. Methodologically, this study used the Sanandaj Document Registration Office as well as a survey (a questionnaire filled out by 300 female homeowners in Sanandaj) to collect the data. The analysis of the data is based on the Kendall correlation test and Path analysis test. The research results show that there is a very high correlation between home ownership (as an independent variable) and economic independence, decision‐making independence and participation of women in urban communities (as dependent variables). The article concludes that home ownership can significantly improve the independence and participation of Kurdish women in Sanandaj, and makes a number of policy recommendations to reach this goal. [ABSTRACT FROM AUTHOR]

Additional Information

  • Source:Studies In Ethnicity & Nationalism. 2023/12, Vol. 23, Issue 3, p369
  • Document Type:Article
  • Subject Area:History
  • Publication Date:2023
  • ISSN:1473-8481
  • DOI:10.1111/sena.12405
  • Accession Number:174345263
  • Copyright Statement:Copyright of Studies In Ethnicity & Nationalism 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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