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- The widespread financial exclusion in Africa despite the continent’s high adoption of financial technology (Fintech) suggests that there is a gap between Fintech’s adoption and its actual usefulness. This study seeks to measure Fintech’s usefulness, its growth and identify its determinants in a panel of three emerging, twenty-four frontiers and five fragile African markets for the period 2004–2018. A dummy variable interactive equation was modelled based on theory to account for heterogeneity between groups. Results from the system Generalised Method of Moments (GMM) estimation technique reveal that on average, Fintech usefulness in Africa is a dynamic heterogeneous process. Income per person, level of financial development, Fintechs’ compatibility with users’ experiences, users’ risk perception, inflation rate and financial-openness were the main determinants of its usefulness. Its rapid growth after the 2009 financial crisis suggests that greater Fintech usefulness can mitigate financial crisis among Africa markets. In particular, the growth of Mobile-banking, ATM and Internet-banking as at 2018 are on average 41.8%, 0.4%, and 20.8% respectively greater than its average in the base year 2004. The study concludes that Fintech’s usefulness is driven by economic, financial and psychological factors; therefore, structural transformation, financial development and improved literacy were recommended.
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- The extent of financial exclusion in Africa drives the adoption of fintech across the continent, but the disruption it can cause hinders progress. This study therefore assesses both the probability and actual rates of fintech adoption in 32 African economies between 2002 and 2018. Based on the information spill-over and rank theories, multiple logistic regression analysis revealed that the average probability of fintech adoption for all, emerging and frontier African economies to be 50.9%, 83.1%,and 23.1%, respectively, whereas the actual rates are 27%, 40%, and 29%, respectively. The fragile economies, however, had no reasonable probability or actual rates of fintech adoption. Further, odds ratios of 1 or more- suggest a one-unit change in the predicators will exert no impact on these rates. Thus, it is concluded that emerging economies and mobile phone banking drive fintech adoption in Africa, and is largely dependent mainly on structural changes rather than economic and financial factors. The current study consequently recommends improved literacy, ICT training, and structural changes to promote fintech across the continent.
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