Smartphone Access, Internet Use, and Digital Financial Inclusion in Sub‐Saharan Africa

ABSTRACT This study examines the association between digital connectivity and digital financial inclusion in Sub‐Saharan Africa using Global Findex 2025 microdata for 33 countries. It extends the descriptive Global Findex evidence by distinguishing smartphone access from internet use and by separating digital payment use, mobile money accounts, and digitally used financial‐institution accounts. Propensity Score Matching (PSM), post‐match logit models, inverse probability of treatment weighting (IPTW), doubly robust estimation, and Rosenbaum bounds are used to address observable selection and assess sensitivity. In the matched samples, smartphone access is associated with 19.1%, 18.2%, and 14.0% higher probabilities of digital payment use, mobile money account ownership, and digitally used financial‐institution account ownership, respectively; the corresponding internet use probabilities are 17.5%, 16.0%, and 12.5%. Smartphone access remains independently significant within the internet‐matched sample. Persistent disadvantages among women, less‐educated adults, and rural residents indicate that connectivity alone does not eliminate structural barriers to digital financial inclusion.

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Publication Details

Journal
African Development Review
Published
2026-11-11
DOI
https://doi.org/10.1111/1467-8268.70087
Primary Topic
Microfinance and Financial Inclusion
Type
article
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article

Smartphone Access, Internet Use, and Digital Financial Inclusion in Sub‐Saharan Africa

David Ahenkan Owusu, Razak Ayariga
African Development Review
Microfinance and Financial Inclusion
article

Smartphone Access, Internet Use, and Digital Financial Inclusion in Sub‐Saharan Africa

David Ahenkan Owusu, Razak Ayariga
article en

Abstract

ABSTRACT This study examines the association between digital connectivity and digital financial inclusion in Sub‐Saharan Africa using Global Findex 2025 microdata for 33 countries. It extends the descriptive Global Findex evidence by distinguishing smartphone access from internet use and by separating digital payment use, mobile money accounts, and digitally used financial‐institution accounts. Propensity Score Matching (PSM), post‐match logit models, inverse probability of treatment weighting (IPTW), doubly robust estimation, and Rosenbaum bounds are used to address observable selection and assess sensitivity. In the matched samples, smartphone access is associated with 19.1%, 18.2%, and 14.0% higher probabilities of digital payment use, mobile money account ownership, and digitally used financial‐institution account ownership, respectively; the corresponding internet use probabilities are 17.5%, 16.0%, and 12.5%. Smartphone access remains independently significant within the internet‐matched sample. Persistent disadvantages among women, less‐educated adults, and rural residents indicate that connectivity alone does not eliminate structural barriers to digital financial inclusion.

African Development ReviewVol. 38(4)
Kwame Nkrumah University of Science and Technology (GH)
Microfinance and Financial Inclusion
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