The Geography of Women’s Empowerment in West Africa

• Published in: Spatial demography Vol. 10; no. 2; pp. 387 - 412
• Main Authors: Banks, Jacqueline, Sweeney, Stuart, Meiring, Wendy
• Format: Journal Article
• Language: English
• Published: Cham Springer International Publishing 01.08.2022; Springer Nature B.V
• Subjects: Classification; Demographics; Demography; Empowerment; Geographical Information Systems/Cartography; Geography; Humanities; Identification methods; Law; Questions; Regional/Spatial Science; Regression analysis; Regression models; Social Sciences; Socioeconomic factors; Socioeconomics; Spatial data; Spatial variations; Statistical analysis; Statistical methods; Statistics for Social Sciences; Surveys; West Africa; Bayesian multinomial structured geo-additive regression; West Africa; Women’s empowerment
• ISSN: 2364-2289; 2164-7070
• DOI: 10.1007/s40980-021-00099-2

Women’s empowerment has been a subject of interest because of its relevance to development and demography, particularly in West Africa. Women’s empowerment is typically conceptualized as an individual attribute of women, associated with socioeconomic and demographic characteristics. However, we hypothesize a geography of women’s empowerment in the West African region, where empowerment processes are culturally situated and embedded in place. Such a geography would be observable via spatial associations over the region. This study uses Demographic and Health Survey data from 14 West African states over the past decade and an innovative multi-stage approach combining advanced statistical methods and spatial assessment to analyze indicators of women’s empowerment and its spatial variability across the West African region. First we use a multivariate classification method to identify patterns in responses to empowerment questions and derive an empowerment classification scheme. Next we use these classifications to render a map of West Africa depicting the spatial variation of women’s empowerment in the region. Ultimately, we fit multinomial structured geo-additive regression models to the data to analyze spatial variation in women’s empowerment while controlling for certain socioeconomic-demographic characteristics. Our results demonstrate that women’s responses to empowerment survey questions indeed vary geographically, even when controlling for individual socioeconomic-demographic attributes. This finding suggests that women’s empowerment may relate to aspects of culture embedded in place in addition to the ways it relates to socioeconomic and demographic characteristics.