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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.

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.

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.

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.

The peer-review history for this article is available at: https://publons.com/publon/10.1108/IJSE-04-2023-0246

One of the United Nations’ sustainable development goals is to ensure the availability of improved drinking water for everyone. In this study, we examine the association between access to improved drinking water at the district level and child nutritional outcomes in Pakistan.

We employ district-level unbalanced panel data from Pakistan from various rounds of Pakistan Social and Living Standards Measurement Surveys and Multiple Indicators Cluster Surveys compiled by the Data4Pakistan, Pakistan District Development Portal. We examine the impact of the percentage of the population in a given district with access to clean drinking water on the percentage of stunted, underweight and wasted children in the district. The analysis proceeds in two steps. In the first step, we explore the spatial distribution of improved drinking water coverage and child development outcomes across districts. In the second step, we study their relationship by employing standard panel estimation methods and controlling for district characteristics.

The spatial analysis reveals the large disparity among districts and provinces in terms of improved drinking water coverage and child nutrition. The estimation results indicate that there is a significant association between the accessibility of improved drinking water and child development outcomes. The effect is significant for child stunting and underweight but not for child wasting. The impact appears to be stronger in rural districts. These findings are robust to alternate empirical strategies.

This is the first such study to examine the provision of improved drinking water at the district level in relation to child developmental outcomes in a developing country context.

The peer review history for this article is available at: https://publons.com/publon/10.1108/IJSE-09-2023-0739