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Bottom-of-the-pyramid business model meets social assistance: Repurposing social protection in the Africa context

Published online by Cambridge University Press:  23 October 2025

Marion Ouma*
Affiliation:
South African Research Chair in Social Policy, College of Graduate Studies, University of South Africa, Pretoria, Gauteng, South Africa
Jimi O. Adesina
Affiliation:
South African Research Chair in Social Policy, College of Graduate Studies, University of South Africa, Pretoria, Gauteng, South Africa
*
Corresponding author: Marion Ouma; Email: marion.ouma@gmail.com
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Abstract

Countries in Africa face serious and worsening poverty brought about by historical and recent factors including the global economic downturn and national debt crises. Different actors have tested several mechanisms with the promise to alleviate poverty. Bottom-of-the-pyramid (BoP) and social assistance programmes in the form of cash transfers are such models. Despite the hype associated with the models, both demonstrate little achievement in the promotion of well-being in Africa, but instead, businesses are profiting at the expense of the poor. In this paper, we argue that the two models are precursors, handmaidens and the embodiment of the financialisation of social policy in Africa. Drawing on field interviews in Kenya, we demonstrate how the models have enabled financialisation of social policy through a narrative of financial inclusion of the poor, integration of market players in social protection, and through motives to orient the poor towards service-oriented markets.

Information

Type
Original Article
Creative Commons
Creative Common License - CCCreative Common License - BY
This is an Open Access article, distributed under the terms of the Creative Commons Attribution licence (http://creativecommons.org/licenses/by/4.0), which permits unrestricted re-use, distribution and reproduction, provided the original article is properly cited.
Copyright
© The Author(s), 2025. Published by Cambridge University Press on behalf of Social Policy Association
Figure 0

Figure 1. Map of Kenya indicating counties where data was collected.