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Geosciences 2016, 6(1), 16; doi:10.3390/geosciences6010016

Geographically Weighted Regression of Determinants Affecting Women’s Access to Land in Africa

Department of Geoinformatics and Surveying, University of Zimbabwe, P. O Box MP167, Harare, Zimbabwe
Academic Editors: Kevin Tansey and Jesus Martinez-Frias
Received: 13 December 2015 / Revised: 24 February 2016 / Accepted: 26 February 2016 / Published: 10 March 2016

Abstract

The underlying motivation of this study is to account for the spatial variation of factors affecting women’s access to land, which has been largely ignored by the traditional regression-based model studies, much to the detriment of spatially varying relationships. Using household and individual-level data from the Demographic and Health Surveys (DHS), this study used Geographically Weighted Regression to explore and analyze the spatial relationships between women’s access to own or family land and determinants that influence women’s access to land in Africa. The results demonstrated that HIV-positive women in West Africa and Ethiopia were more likely to have access to own land than family land. Educated women in North, West and Southern Africa were less likely to have access to own land than their non-educated counterparts. Population density exhibited predominantly negative influence over women’s access to both own and family land. The relationship between rural areas and women’s access to their own land was mostly not significant across the continent. However, both rural and urban women in West Africa and Ethiopia were negatively associated with access to family land. Women within the 15–24 age group in West, Central and East Africa were more likely to have access to own land than family land, while those within the 25–34 and 35–49 age groups had a better chance of gaining access to family than own land, with the results being significant in Southern, West and North Africa. While some of the reasons for these variations have been discussed in this paper there is still need for further investigation particularly focusing on smaller regions since this study shows that women’s access to land changes as one crosses geographical boundaries even within the same country. View Full-Text
Keywords: Africa; land; demographic and health surveys; geographically weighted regression Africa; land; demographic and health surveys; geographically weighted regression
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This is an open access article distributed under the Creative Commons Attribution License which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited. (CC BY 4.0).

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Tsiko, R.G. Geographically Weighted Regression of Determinants Affecting Women’s Access to Land in Africa. Geosciences 2016, 6, 16.

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