Women's economic empowerment in sub-Saharan Africa: Evidence from cross-national population data
Eunice Williams,
Sabu Padmadas and
Heini Väisänen
Additional contact information
Eunice Williams: University of Southampton
Sabu Padmadas: University of Southampton
Heini Väisänen: Institut National d'Études Démographiques (INED)
Demographic Research, 2022, vol. 47, issue 15, 415-452
Abstract:
Background: 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). Objective: 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. Methods: 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. Results: 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. Conclusions: 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. Contribution: Our results provide timely evidence for the increasing push to achieve WEE and highlight potential priority areas for policy and programme interventions.
Keywords: women's economic independence; agency; sub-Saharan Africa; education; employment; Demographic and Health Surveys (DHS); economic growth (search for similar items in EconPapers)
JEL-codes: J1 Z0 (search for similar items in EconPapers)
Date: 2022
References: View references in EconPapers View complete reference list from CitEc
Citations: View citations in EconPapers (2)
Downloads: (external link)
https://www.demographic-research.org/volumes/vol47/15/47-15.pdf (application/pdf)
Related works:
This item may be available elsewhere in EconPapers: Search for items with the same title.
Export reference: BibTeX
RIS (EndNote, ProCite, RefMan)
HTML/Text
Persistent link: https://EconPapers.repec.org/RePEc:dem:demres:v:47:y:2022:i:15
DOI: 10.4054/DemRes.2022.47.15
Access Statistics for this article
More articles in Demographic Research from Max Planck Institute for Demographic Research, Rostock, Germany
Bibliographic data for series maintained by Editorial Office ().