Unpaid work and women empowerment.

The paper attempts to contextualize the significance of the work of unpaid female family helpers' (UPFFH) for women empowerment. Additionally, it brings into light the subjective feelings and perceptions of unpaid family helpers. The current research is based on primary data collected through a self...

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Publicado en:Journal of Human Behavior in the Social Environment Vol. 34; no. 7; pp. 1172 - 1192
Autores principales: Khan, Neha Riaz, Arif, G. M., Sabir, Maryam, Abbasi, Javeria Younas
Formato: Artículo
Publicado: Taylor & Francis Ltd Oct2024
Materias:
Acceso en línea:Ver este registro en EBSCOhost
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      dt: Oct2024
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        atl: Unpaid work and women empowerment.
      aug:
        au:
          Khan, Neha Riaz
          Arif, G. M.
          Sabir, Maryam
          Abbasi, Javeria Younas
        affil:
          Department of Sociology, Government College University, Lahore, Pakistan
          Pakistan Institute of Development Economics, Islamabad, Pakistan
          School of Sociology and Social Policy, University of Leeds, Leeds, UK
          Department of Economics, Institute of Business Administration, Karachi, Pakistan
      su:
        Cross-sectional method
        Recognition (Psychology)
        Self-efficacy
        Group identity
        Statistical sampling
        Socioeconomic factors
        Psychology of women
        Wages
        Decision making
        Family relations
        Gender inequality
        Attitude (Psychology)
        Research methodology
        Conceptual structures
        Pakistan
      sug:
        subj:
          Pakistan
          Cross-sectional method
          Recognition (Psychology)
          Self-efficacy
          Group identity
          Statistical sampling
          Socioeconomic factors
          Psychology of women
          Wages
          Decision making
          Family relations
          Gender inequality
          Attitude (Psychology)
          Research methodology
          Conceptual structures
      keyword:
        gender inequalities
        social value of work
        Unpaid family helpers
        women empowerment
      ab: The paper attempts to contextualize the significance of the work of unpaid female family helpers' (UPFFH) for women empowerment. Additionally, it brings into light the subjective feelings and perceptions of unpaid family helpers. The current research is based on primary data collected through a self-structured questionnaire from 200 females aged 15+ years who were helping in the household income generation without getting paid. A cross-sectional survey was conducted among UPFFHs residing in district Lahore, Pakistan. The participants were selected using a simple random sampling technique. The analysis of UPFFHs empowerment was performed by employing a percentage distribution approach based on four levels of participation in decision making. The research puts emphasis on the impact of excessive, unequal, and unpaid work on women and further argues for social rational of recognizing the work through empowering women in decision-making process at their personal, household, and community level. The findings of the study indicates that the young UPFFHs are less empowered as they face the greatest familial and community pressure when it comes to making their life decisions. However, the paper further documents their aspiration to attain economic independence which would then bring change in gender perceptions and their overall social standing. The paper concludes by highlighting the problems associated with "unpaid work" and why it must be addressed, especially if the country has to fully realize the valued goal of women empowerment and gender equality.
      pubtype: Academic Journal
      doctype: Article
      src: R
    language: English
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      custom: Copyright of Journal of Human Behavior in the Social Environment is the property of Taylor & Francis Ltd 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.
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          year: 2024
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