Women's economic empowerment and poverty: Specification empirics examining global data

Two measures of women's economic empowerment (1) number of female business owners and (2) the number of female sole proprietors are used as women's entrepreneurial surrogates to determine the impact of women's economic empowerment on poverty globally. Using a Fixed-effect model (FEM) and dominance analysis (DA) as an estimation technique, this study sampled carefully ninety-five (95) countries for which data is available for the years 2002 to 2021. These countries are further subdivided into regions for further examinations. Based on the global dataset, the study concludes that the number of female business owners across the study sample significantly contribute to poverty reduction. It is pertinent to emphasize that policy measures that aim to increase the share of female business owners on a worldwide scale should incorporate the poverty threshold. In terms of regional blocks classifications, varied results are produced for both number of female business owners and number of female sole proprietors. This study is anticipated to be valuable in terms of originality since it provides a precise and coherent understanding of the genuine measure on women's economic empowerment that must be placed, from the perspective of global dataset and regional blocks, to reduce global poverty more effectively.

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Publication Details

Journal
Sustainable Futures
Published
2025-04-14
DOI
https://doi.org/10.1016/j.sftr.2025.100625
Primary Topic
Gender, Labor, and Family Dynamics
Type
article
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article

Women's economic empowerment and poverty: Specification empirics examining global data

Andrews Ayiku, Isaac Boadi, Joseph Opuni‐Frimpong, Baba Seidu Adibura
Sustainable Futures
Gender, Labor, and Family Dynamics
article

Women's economic empowerment and poverty: Specification empirics examining global data

Andrews Ayiku, Isaac Boadi, Joseph Opuni‐Frimpong, Baba Seidu Adibura
article en

Abstract

Two measures of women's economic empowerment (1) number of female business owners and (2) the number of female sole proprietors are used as women's entrepreneurial surrogates to determine the impact of women's economic empowerment on poverty globally. Using a Fixed-effect model (FEM) and dominance analysis (DA) as an estimation technique, this study sampled carefully ninety-five (95) countries for which data is available for the years 2002 to 2021. These countries are further subdivided into regions for further examinations. Based on the global dataset, the study concludes that the number of female business owners across the study sample significantly contribute to poverty reduction. It is pertinent to emphasize that policy measures that aim to increase the share of female business owners on a worldwide scale should incorporate the poverty threshold. In terms of regional blocks classifications, varied results are produced for both number of female business owners and number of female sole proprietors. This study is anticipated to be valuable in terms of originality since it provides a precise and coherent understanding of the genuine measure on women's economic empowerment that must be placed, from the perspective of global dataset and regional blocks, to reduce global poverty more effectively.

Sustainable FuturesVol. 9
University of Ghana (GH), University of Professional Studies (GH)
Gender equality
Openalex Percentile: Top 90%
Gender, Labor, and Family Dynamics
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Women's economic empowerment and poverty: Specification empirics examining global data — Andrews Ayiku, Isaac Boadi, et al. · Sustainable Futures (2025) | TGRS Research Map | TGRS