Subjective assessment of women's economic welfare in public sector organizations of Mardan, Northern Pakistan

Nazia Begum, Muhammad Tariq, Noor Jehan and Farah Khan

International Journal of Social Economics, 2024, vol. 51, issue 9, 1151-1166

Abstract: Purpose - The measurement of women's economic welfare and exploring its underlying factors have been undervalued in the context of Khyber Pakhtunkhwa, Pakistan. This study addressed this gap by focusing on assessing women's subjective economic welfare and its socioeconomic and cultural determinants in the education and health sectors within Mardan, Northern Pakistan. Design/methodology/approach - The study used stratified random sampling techniques for the selection of sample respondents and collected data through a well-structured questionnaire. To measure women’s economic welfare, the study utilizes Lorenz curves, the Gini index, the Sen Social Welfare function and an individual's gross monthly income. Furthermore, the ordinary least squares method was utilized to analyze the determinants of economic welfare. Findings - The findings show greater income inequality and a lower welfare level for women in the education sector compared to the health sector. Likewise, the study identifies several key determinants, such as age, educational qualification, job experience, respect for working women, outside and work-place problems and the suffering of family members of working women for their economic well-being. Originality/value - This study makes valuable contributions to the literature by focusing on the cultural perspective of Pakhtun women in Mardan and providing a context-specific understanding of subjective economic welfare. Additionally, the authors collected first-hand data, which gave an original outlook on working women's current economic welfare level. Furthermore, this study undertakes a comparative analysis of working women's welfare in the health and education sectors. This comparison offers a more accurate portrayal of the challenges and opportunities specific to these occupations. Peer review - The peer-review history for this article is available at:https://publons.com/publon/10.1108/IJSE-04-2023-0246

Keywords: Social welfare function; Stratified random sampling; Gini-coefficient; Lorenz; curve; Northern Pakistan (search for similar items in EconPapers)
Date: 2024
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Persistent link: https://EconPapers.repec.org/RePEc:eme:ijsepp:ijse-04-2023-0246

DOI: 10.1108/IJSE-04-2023-0246

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