Digital credit – short-term microcredit distributed over a digital platform, such as a mobile phone – has become hugely popular in Kenya, with over six million Kenyans having taken out at least one digital loan over the last decade. While there is a small but growing body of literature on the problems associated with digital credit (such as its high costs and contributions to over-indebtedness), far less attention has been paid to the regulatory debates in Kenya or elsewhere. This article charts the rise of digital credit in Kenya and the process of regulating the sector, which culminated in the CBK (Amendment) Act, 2021. Due to its almost exclusive focus on previously unregulated lenders, the Act had limited efficacy: it did not affect most of the digital lending market, which is largely controlled by partnerships between banks and mobile network operators. Using concepts from business power theory, we argue that the shape of the legislation can be attributed to the market-led ideology of the Kenyan government and the structural power of the telecommunications giant Safaricom and its partner banks. This case provides important lessons for other countries, where fintechs in general and digital credit, in particular, are on the rise.

Microfinance is an economic development tool that provides loans to low-income borrowers to stimulate economic growth and reduce financial hardship. Lenders typically require joint liability, where multiple borrowers share the responsibility of repaying a group loan. We propose that this lending practice creates a cooperation dilemma similar to that faced by humans and other organisms in nature across many domains. This could offer a real-world test case for evolutionary theories of cooperation from the biological sciences. In turn, such theories could provide new insights into loan repayment behaviour. We first hypothesise how group loan repayment efficacy should be affected by mechanisms of assortment from the evolutionary literature on cooperation, i.e. common ancestry (kin selection), prior interaction (reciprocity), partner choice, similarity of tags, social learning, and ecology and demography. We then assess selected hypotheses by reviewing 41 studies from 32 countries on micro-borrowers’ loan repayment, evaluating which characteristics of borrowers are associated with credit repayment behaviour. Surprisingly, we find that kinship is mostly negatively associated with repayment efficacy, but prior interaction and partner choice are both more positively associated. Our work highlights the scope of evolutionary theory to provide systematic insight into how humans respond to novel economic institutions and interventions.

The UK Government has recently implemented large-scale public-sector funding cuts and substantial welfare reform. Groups within civil society are being encouraged to fill gaps in service provision, and ‘social innovation’ has been championed as a means of addressing social exclusion, such as that caused by worklessness, a major impediment to citizens being able to access money, power and resources, which are key social determinants of health. The aim of this article is to make the case for innovative ‘upstream’ approaches to addressing health inequalities, and we discuss three prominent social innovations gaining traction: microcredit for enterprise; social enterprise in the form of Work Integration Social Enterprises (WISEs); and Self Reliant Groups (SRGs). We find that while certain social innovations may have the potential to address health inequalities, large-scale research programmes that will yield the quality and range of empirical evidence to demonstrate impact, and, in particular, an understanding of the causal pathways and mechanisms of action, simply do not yet exist.