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Determinants of women’s empowerment in Pakistan: evidence from Demographic and Health Surveys, 2012–13 and 2017–18
BACKGROUND: Women’s empowerment has always remained a contested issue in the complex socio-demographic and cultural milieu of Pakistani society. Women are ranked lower than men on all vital human development indicators. Therefore, studying various determinants of women’s empowerment is urgently need...
Autores principales: | , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
BioMed Central
2021
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8259000/ https://www.ncbi.nlm.nih.gov/pubmed/34229626 http://dx.doi.org/10.1186/s12889-021-11376-6 |
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author | Abbas, Safdar Isaac, Noman Zia, Munir Zakar, Rubeena Fischer, Florian |
author_facet | Abbas, Safdar Isaac, Noman Zia, Munir Zakar, Rubeena Fischer, Florian |
author_sort | Abbas, Safdar |
collection | PubMed |
description | BACKGROUND: Women’s empowerment has always remained a contested issue in the complex socio-demographic and cultural milieu of Pakistani society. Women are ranked lower than men on all vital human development indicators. Therefore, studying various determinants of women’s empowerment is urgently needed in the Pakistani context. METHODS: The study empirically operationalized the concept of women’s empowerment and investigated its determinants through representative secondary data taken from the Pakistan Demographic and Health Surveys among women at reproductive age (15–49 years) in 2012–13 (n = 13,558) and 2017–18 (n = 15,068). The study used simple binary logistic and multivariable regression analyses. RESULTS: The results of the binary logistic regression highlighted that almost all of the selected demographic, economic, social, and access to information variables were significantly associated with women’s empowerment (p < 0.05) in both PDHS datasets. In the multivariable regression analysis, the adjusted odds ratios highlighted that reproductive-age women in higher age groups having children, with a higher level of education and wealth index, involved in skilled work, who were the head of household, and had access to information were reported to be more empowered. Results of the multivariable regression analysis conducted separately for two empowerment indicators (decision-making and ownership) corroborated the findings of the one indicator of women empowerment, except where ownership did not appear to be significantly associated with number of children and sex of household head in both data sets (2012–13 and 2017–18). CONCLUSIONS: A number of social, economic, demographic, familial, and information-exposure factors determine women’s empowerment. The study proposes some evidence-based policy options to improve the status of women in Pakistan. |
format | Online Article Text |
id | pubmed-8259000 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2021 |
publisher | BioMed Central |
record_format | MEDLINE/PubMed |
spelling | pubmed-82590002021-07-06 Determinants of women’s empowerment in Pakistan: evidence from Demographic and Health Surveys, 2012–13 and 2017–18 Abbas, Safdar Isaac, Noman Zia, Munir Zakar, Rubeena Fischer, Florian BMC Public Health Research Article BACKGROUND: Women’s empowerment has always remained a contested issue in the complex socio-demographic and cultural milieu of Pakistani society. Women are ranked lower than men on all vital human development indicators. Therefore, studying various determinants of women’s empowerment is urgently needed in the Pakistani context. METHODS: The study empirically operationalized the concept of women’s empowerment and investigated its determinants through representative secondary data taken from the Pakistan Demographic and Health Surveys among women at reproductive age (15–49 years) in 2012–13 (n = 13,558) and 2017–18 (n = 15,068). The study used simple binary logistic and multivariable regression analyses. RESULTS: The results of the binary logistic regression highlighted that almost all of the selected demographic, economic, social, and access to information variables were significantly associated with women’s empowerment (p < 0.05) in both PDHS datasets. In the multivariable regression analysis, the adjusted odds ratios highlighted that reproductive-age women in higher age groups having children, with a higher level of education and wealth index, involved in skilled work, who were the head of household, and had access to information were reported to be more empowered. Results of the multivariable regression analysis conducted separately for two empowerment indicators (decision-making and ownership) corroborated the findings of the one indicator of women empowerment, except where ownership did not appear to be significantly associated with number of children and sex of household head in both data sets (2012–13 and 2017–18). CONCLUSIONS: A number of social, economic, demographic, familial, and information-exposure factors determine women’s empowerment. The study proposes some evidence-based policy options to improve the status of women in Pakistan. BioMed Central 2021-07-06 /pmc/articles/PMC8259000/ /pubmed/34229626 http://dx.doi.org/10.1186/s12889-021-11376-6 Text en © The Author(s) 2021 https://creativecommons.org/licenses/by/4.0/Open AccessThis article is licensed under a Creative Commons Attribution 4.0 International License, which permits use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons licence, and indicate if changes were made. The images or other third party material in this article are included in the article's Creative Commons licence, unless indicated otherwise in a credit line to the material. If material is not included in the article's Creative Commons licence and your intended use is not permitted by statutory regulation or exceeds the permitted use, you will need to obtain permission directly from the copyright holder. To view a copy of this licence, visit http://creativecommons.org/licenses/by/4.0/ (https://creativecommons.org/licenses/by/4.0/) . The Creative Commons Public Domain Dedication waiver (http://creativecommons.org/publicdomain/zero/1.0/ (https://creativecommons.org/publicdomain/zero/1.0/) ) applies to the data made available in this article, unless otherwise stated in a credit line to the data. |
spellingShingle | Research Article Abbas, Safdar Isaac, Noman Zia, Munir Zakar, Rubeena Fischer, Florian Determinants of women’s empowerment in Pakistan: evidence from Demographic and Health Surveys, 2012–13 and 2017–18 |
title | Determinants of women’s empowerment in Pakistan: evidence from Demographic and Health Surveys, 2012–13 and 2017–18 |
title_full | Determinants of women’s empowerment in Pakistan: evidence from Demographic and Health Surveys, 2012–13 and 2017–18 |
title_fullStr | Determinants of women’s empowerment in Pakistan: evidence from Demographic and Health Surveys, 2012–13 and 2017–18 |
title_full_unstemmed | Determinants of women’s empowerment in Pakistan: evidence from Demographic and Health Surveys, 2012–13 and 2017–18 |
title_short | Determinants of women’s empowerment in Pakistan: evidence from Demographic and Health Surveys, 2012–13 and 2017–18 |
title_sort | determinants of women’s empowerment in pakistan: evidence from demographic and health surveys, 2012–13 and 2017–18 |
topic | Research Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8259000/ https://www.ncbi.nlm.nih.gov/pubmed/34229626 http://dx.doi.org/10.1186/s12889-021-11376-6 |
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