This is the authors' abstract. We don't add key points for this paper.
This article examines the social performance of African Microfinance Institutions (MFIs) between 1999 and 2023, with a focus on how commercialization shapes outreach to financially excluded populations. Using panel data on 878 MFIs across 38 countries, we assess three dimensions of outreach: average loan balance (ALB; adjusted for GNI per capita), share of female borrowers and proportion of rural clients. A new Commercialization Index (CI), capturing profitability, capitalization and reliance on donations enables systematic measurement of market orientation. Employing random effects (REs) regressions alongside machine learning models, we find clear trade-offs between financial and social objectives. Commercialization increases loan sizes but reduces female outreach, signaling mission drift; while rural outreach remains resilient, suggesting potential for inclusive scale. Machine learning models, particularly the random forest (RF) model, achieve strong predictive accuracy (95%), highlighting that average loan size, loan portfolio scale and commercialization intensity are the most important variables distinguishing NGOs-type from for-profit MFIs. Overall, the study underscores the multidimensional tension between sustainability and inclusion in African microfinance. It provides a robust framework for monitoring mission drift and calls for targeted regulatory and investment strategies to ensure that commercialization does not undermine MFIs core mandate of serving vulnerable clients.
Answers are grounded in this paper and cite their sources.
No takes yet. Share an insight, caveat, or question.
Karuitha et al. (2026) studied this question.
Synapse has enriched 5 closely related papers on similar clinical questions. Consider them for comparative context: