The Asset Trap: How Kenya’s Predatory Lenders Weaponized "Lipa Mdogo Mdogo"

Abstract

Kenya's Lipa Mdogo Mdogo model represents a significant evolution in digital credit, embedding repayment enforcement directly into financed assets through IoT-enabled kill switches. While promoted as advancing financial inclusion and closing the digital divide, concerns persist regarding predatory outcomes for vulnerable borrowers. This mixed-methods study investigated whether asset-tied credit produces systematic borrower vulnerability. Survey data from 600 PAYG borrowers across six Kenyan counties were analysed using multilevel regression modelling, complemented by 20 semi-structured interviews analysed thematically through a political economy lens. Asset-tied credit generates significant predation, with mean effective annual interest rates of 84% and 61% of borrowers experiencing remote disablement. Multilevel analysis revealed that each additional PAYG contract increases the Asset-Based Predation index by 1.84 standard deviations (p<0.001). Motorcycle financing proved particularly damaging (β=2.13, p<0.001), while mobile money dependency amplified vulnerability (β=1.28, p<0.001). County-level PAYG penetration exerted independent effects (β=0.93, p=0.002), and rural borrowers experienced amplified harm (interaction β=1.62, p<0.001). Qualitative analysis revealed three mechanisms: conditional ownership through technological asymmetry, strategic opacity in pricing, and normalised debt cycling. 59% of respondents reduced food consumption to maintain payments, and 52% borrowed from alternative sources to service LMM debt. Lipa Mdogo Mdogo functions as an asset trap rather than an inclusion mechanism, transferring risk entirely to borrowers while lenders maintain coercive control through technology. Regulatory exemptions for dominant telco-affiliated schemes create protection gaps that systematically disadvantage low-income consumers.