Women's economic empowerment in sub-Saharan Africa: Evidence from cross-national population data

<b>Background</b>: Women's economic empowerment (WEE) has attracted high-level policy interest, and is recognized as a central, cross-cutting outcome, and the cornerstone for achieving Sustainable Development Goals. However, it lacks a standardised definition and standard, measurabl...

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Main Authors: Eunice Williams, Sabu S. Padmadas, Heini Vaisanen
Format: Article
Language:English
Published: Max Planck Institute for Demographic Research 2022-09-01
Series:Demographic Research
Subjects:
Online Access:https://www.demographic-research.org/articles/volume/47/15
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author Eunice Williams
Sabu S. Padmadas
Heini Vaisanen
author_facet Eunice Williams
Sabu S. Padmadas
Heini Vaisanen
author_sort Eunice Williams
collection DOAJ
description <b>Background</b>: Women's economic empowerment (WEE) has attracted high-level policy interest, and is recognized as a central, cross-cutting outcome, and the cornerstone for achieving Sustainable Development Goals. However, it lacks a standardised definition and standard, measurable, and comparable indicators, and is plagued by large data gaps, particularly in sub-Saharan Africa (SSA). <b>Objective</b>: We examine the extent of WEE in SSA. Our goal is to identify WEE country typologies explaining the variation in and contributing domains of WEE in each country. <b>Methods</b>: Using recent DHS data in 33 countries, we apply principal component analysis to generate a WEE score based on 9 indicators in order to better understand the contributors underlying this score and derive country typologies. <b>Results</b>: Overall, WEE is low but it varies markedly by country. It is typically explained by educational attainment, employment, and land ownership among women alone or in combination with men. We identified 5 typologies of WEE: (1) instrumental agency explained by high educational attainment, (2) instrumental agency explained by land ownership, (3) individual economic advancement explained by high employment rates, (4) basic-level economic empowerment, and (5) low-level economic empowerment. <b>Conclusions</b>: The level of WEE in SSA varies by country. The factors affecting the level also vary and can be divided into 5 typologies characterising the type of WEE. <b>Contribution</b>: Our results provide timely evidence for the increasing push to achieve WEE and highlight potential priority areas for policy and programme interventions.
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spelling doaj-art-aae76f3c733340d8bc9b3e8574bf0c742025-01-04T17:36:16ZengMax Planck Institute for Demographic ResearchDemographic Research1435-98712022-09-01471541545210.4054/DemRes.2022.47.155586Women's economic empowerment in sub-Saharan Africa: Evidence from cross-national population dataEunice Williams0Sabu S. Padmadas1Heini Vaisanen2University of SouthamptonUniversity of SouthamptonInstitut National d'Études Démographiques (INED)<b>Background</b>: Women's economic empowerment (WEE) has attracted high-level policy interest, and is recognized as a central, cross-cutting outcome, and the cornerstone for achieving Sustainable Development Goals. However, it lacks a standardised definition and standard, measurable, and comparable indicators, and is plagued by large data gaps, particularly in sub-Saharan Africa (SSA). <b>Objective</b>: We examine the extent of WEE in SSA. Our goal is to identify WEE country typologies explaining the variation in and contributing domains of WEE in each country. <b>Methods</b>: Using recent DHS data in 33 countries, we apply principal component analysis to generate a WEE score based on 9 indicators in order to better understand the contributors underlying this score and derive country typologies. <b>Results</b>: Overall, WEE is low but it varies markedly by country. It is typically explained by educational attainment, employment, and land ownership among women alone or in combination with men. We identified 5 typologies of WEE: (1) instrumental agency explained by high educational attainment, (2) instrumental agency explained by land ownership, (3) individual economic advancement explained by high employment rates, (4) basic-level economic empowerment, and (5) low-level economic empowerment. <b>Conclusions</b>: The level of WEE in SSA varies by country. The factors affecting the level also vary and can be divided into 5 typologies characterising the type of WEE. <b>Contribution</b>: Our results provide timely evidence for the increasing push to achieve WEE and highlight potential priority areas for policy and programme interventions.https://www.demographic-research.org/articles/volume/47/15agencydemographic and health surveys (dhs)economic growtheducationemploymentsub-saharan africawomen's economic independence
spellingShingle Eunice Williams
Sabu S. Padmadas
Heini Vaisanen
Women's economic empowerment in sub-Saharan Africa: Evidence from cross-national population data
Demographic Research
agency
demographic and health surveys (dhs)
economic growth
education
employment
sub-saharan africa
women's economic independence
title Women's economic empowerment in sub-Saharan Africa: Evidence from cross-national population data
title_full Women's economic empowerment in sub-Saharan Africa: Evidence from cross-national population data
title_fullStr Women's economic empowerment in sub-Saharan Africa: Evidence from cross-national population data
title_full_unstemmed Women's economic empowerment in sub-Saharan Africa: Evidence from cross-national population data
title_short Women's economic empowerment in sub-Saharan Africa: Evidence from cross-national population data
title_sort women s economic empowerment in sub saharan africa evidence from cross national population data
topic agency
demographic and health surveys (dhs)
economic growth
education
employment
sub-saharan africa
women's economic independence
url https://www.demographic-research.org/articles/volume/47/15
work_keys_str_mv AT eunicewilliams womenseconomicempowermentinsubsaharanafricaevidencefromcrossnationalpopulationdata
AT sabuspadmadas womenseconomicempowermentinsubsaharanafricaevidencefromcrossnationalpopulationdata
AT heinivaisanen womenseconomicempowermentinsubsaharanafricaevidencefromcrossnationalpopulationdata