MSC conducted research to understand how the low- and middle-income (LMI) segments cope with the COVID-19 pandemic in five countries. This report from Kenya offers a glimpse into their challenges, concerns, and new opportunities in these trying times.

This report offers a glimpse into the remarkable achievements, underlying challenges, and new opportunities amid the COVID-19 pandemic on the low and middle income (LMI) segment in Kenya.

MSC’s comic booklets on COVID-19 are illustrated narratives that build awareness among CICO agents and their customers during the pandemic. These comics feature rich visual stories to generate awareness, influence precautionary behavior, and drive the safety of agents.

The digital gig economy in Africa has quickly gained prominence over time and continues to enhance opportunities for youth and women. Some of MSC’s recent research work in Kenya indicates increasing participation of women, especially in the blue-collar digital gig economy though there remains a gender disparity in women’s participation in this sector.

The population of the DRC is extremely dispersed in a country with low levels of education, a history of financial shocks, conflict and poor infrastructure. A recent study has shown that, even excluding the population in deep rural areas, only 2.3 million (12%) of the adult population have a bank account [1] . Despite these challenges, the number of […]

This paper is part of a series of synthesis papers that summarise data on agent networks. We have collected the data over four and a half years from nine countries in Africa and Asia through the Agent Network Accelerator (ANA) project. This paper synthesizes knowledge and data on liquidity management approaches to ANA research markets […]

The blog highlights the key challenges to effective liquidity management for DFS agents. It also discusses how the providers may address the issues related to liquidity management

The blog highlights three areas where Digital finance service providers need to priortise to enhance agent networks.