An empirical assessment of probability rates for financial technology adoption among African economies: a multiple logistic regression approach

dc.contributor.authorTewari, Devi Datt
dc.contributor.authorOkoli, Tochukwu Timothy
dc.coverage.conferenceissn
dc.date.accessioned2025-11-21T12:21:20Z
dc.date.available2025-11-21T12:21:20Z
dc.date.issued2020
dc.departmentNameEconomics
dc.description.abstractThe 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.
dc.facultyFaculty of Commerce, Administration and Law
dc.format.preprintNo
dc.identifier.citationOkoli, T.T. and Tewari, D.D., 2020. An empirical assessment of probability rates for financial technology adoption among African economies: a multiple logistic regression approach. Asian Economic and Financial Review, 10(11), pp.1342-1355
dc.identifier.issn2222-6737 (online)
dc.identifier.issn2305-2147 (print)
dc.identifier.otherhttps://doi.org/10.18488/journal.aefr.2020.1011.1342.1355
dc.identifier.urihttp://hdl.handle.net/10530/58345
dc.inproceedingsissn
dc.issuenumber10 / 11
dc.keynoteissn
dc.pages1342 - 1355
dc.peerreviewedYes
dc.publisherAsian Economic and Social Society
dc.subjectAfrica
dc.subjectFinancial technology
dc.subjectInternet banking
dc.subjectMobile phone banking
dc.subjectMultiple logistic regression
dc.titleAn empirical assessment of probability rates for financial technology adoption among African economies: a multiple logistic regression approach
dc.title.journalAsian Economic and Financial Review
dc.typeJournal Article
dspace.entity.typePublication
relation.isAuthorOfPublicationecd42eb9-dc3f-4358-871e-151ca545e39d
relation.isAuthorOfPublication.latestForDiscoveryecd42eb9-dc3f-4358-871e-151ca545e39d
relation.isOrgUnitOfPublicationc7eee4fb-1ae2-4b90-a48f-7edbef45aaef
relation.isOrgUnitOfPublication.latestForDiscoveryc7eee4fb-1ae2-4b90-a48f-7edbef45aaef
Files:
Original bundle
Now showing 1 - 1 of 1
Loading...
Thumbnail Image
Name:
Tewari_Devi_2020.pdf
Size:
884.13 KB
Format:
Adobe Portable Document Format
License bundle
Now showing 1 - 1 of 1
No Thumbnail Available
Name:
license.txt
Size:
1.71 KB
Format:
Item-specific license agreed upon to submission
Description:
Collections: Articles