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Digital Infrastructure Access, Fintech Adoption, And Financial Inclusion Among Smallholder Farmers in North Central Nigeria: A PLS-SEM Analysis

Halima Halilu

Abstract

Purpose: Smallholder farmers account for the majority of Nigeria's food production yet remain largely excluded from formal financial services, constraining productivity and rural economic development. This study examines whether access to digital infrastructure drives FinTech adoption among smallholder farmers, and whether FinTech adoption, in turn, translates into meaningful financial inclusion. Design/Methodology/Approach: A quantitative, cross-sectional survey design was employed. Structured questionnaires were administered face-to-face to smallholder farmers across Benue, Nasarawa, Plateau, and the Federal Capital Territory Abuja in Nigeria's North Central region, using a stratified multi-stage sampling procedure. Of 445 questionnaires distributed, 392 valid responses were obtained (88.1% response rate). Partial Least Squares Structural Equation Modelling (PLS-SEM) in SmartPLS was used to assess the measurement model and to test the hypothesised structural relationships between digital infrastructure access, FinTech adoption, and financial inclusion. Findings: All constructs demonstrated strong reliability and convergent validity (Cronbach's alpha, composite reliability, and AVE values exceeding recommended thresholds). Digital infrastructure access exerted a strong, positive, and statistically significant effect on FinTech adoption (β = 0.934, t = 138.009, p < 0.001), explaining 87.2% of the variance in adoption. FinTech adoption, in turn, had a strong positive effect on financial inclusion (β = 0.873, t = 50.832, p < 0.001). Both hypothesised paths were robustly supported, with effect sizes considerably larger than those typically reported in comparable technology-adoption studies. Practical Implications: The findings indicate that digital infrastructure functions as a threshold precondition rather than a marginal enabler of FinTech adoption in resource- constrained rural settings. Policymakers, mobile network operators, and FinTech providers should therefore prioritise rural connectivity and infrastructure investment as a precondition for financial-inclusion programming, rather than treating infrastructure and adoption- facilitation initiatives as parallel, independent workstreams. Originality: This study provides rare, statistically robust, empirically grounded evidence of the infrastructure–adoption–inclusion pathway among smallholder farmers in a developing- economy agricultural setting, using a large, regionally stratified sample and rigorous PLS- SEM validation. It extends Rogers' Diffusion of Innovation theory by demonstrating that communication-channel access can function as a binding constraint rather than a merely facilitating condition in infrastructure-scarce rural economies.

Keywords

FinTech adoption; digital infrastructure; financial inclusion; smallholder farmers; PLS-SEM; Nigeria; Diffusion of Innovation theory

References

Adaba, G. B., & Ayoung, D. A. (2017). The development of a mobile money service: An exploratory actor-network study. Information Technology for Development, 23(4), 668–686. https://doi.org/10.1080/02681102.2017.1357525 Adegbite, O., & Machethe, C. L. (2022). The impact of financial inclusion on the livelihoods of rural smallholder farmers in Nigeria. The African Finance Journal, 24(2), 38–50. https://doi.org/10.10520/EJC-FINJ_V24_N2_A3 Adel, N. (2024). The impact of digital literacy and technology adoption on financial inclusion in Africa, Asia, and Latin America. Heliyon, 10(24). https://doi.org/10.1016/j.heliyon.2024.e40951 Adu, K. O., Twinomurinzi, H., & Adjei, J. K. (2022). Understanding digital financial services uptake: Insights from urban Ghana. Electronic Commerce Research and Applications. Afonso, A., & Blanco-Arana, M. C. (2024). Does financial inclusion enhance per capita income in the least developed countries? International Economics, 177. https://doi.org/10.1016/j.inteco.2024.100479 Ahamadou, M., & Agada, D. B. (2023). Adopting FinTech to promote financial inclusion: Evidence from the Western African Economic and Monetary Union. International Journal of Applied Economics, Finance and Accounting, 17(1), 135–145. https://doi.org/10.33094/ijaefa.v17i1.1090 Bryman, A. (2016). Social research methods (5th ed.). Oxford University Press. Erdfelder, E., Faul, F., Buchner, A., & Lang, A. G. (2009). Statistical power analyses using G*Power 3.1: Tests for correlation and regression analyses. Behavior Research Methods, 41(4), 1149–1160. https://doi.org/10.3758/BRM.41.4.1149 Hair, J. F., Hult, G. T. M., Ringle, C. M., & Sarstedt, M. (2019). A primer on partial least squares structural equation modeling (PLS-SEM) (2nd ed.). Sage Publications. Hornuf, L., Safari, K., & Voshaar, J. (2024). Mobile FinTech adoption in Sub-Saharan Africa: A systematic literature review and meta-analysis. https://ssrn.com/abstract=4680786 Kusmaryono, I., Wijayanti, D., & Maharani, H. R. (2022). Number of response options, reliability, validity, and potential bias in the use of the Likert scale in education and social science research: A literature review. International Journal of Educational Methodology, 8(4), 625–637. https://doi.org/10.12973/IJEM.8.4.625 National Bureau of Statistics. (2022). National agricultural sample census. NBS. Okello Bongomin, G., Ntayi, J. M., & Munene, J. C. (2024). Recalibrating the scope of financial inclusion through financial technologies in the digital age: The role of digital literacy as a moderator in rural Uganda. Information Technology and People. https://doi.org/10.1108/ITP-01-2023-0022 Rahman, S., & Singh, A. (2023). Digital financial inclusion in rural India: Infrastructural barriers and implementation challenges. Journal of Rural Studies, 97, 214–227. Rayhan, M. J., Rahman, S. M. M., Mamun, A. A., Saif, A. N. M., Islam, K. M. A., Alom, M. M., & Hafiz, N. (2024). FinTech solutions for sustainable agricultural value chains: A perspective from smallholder farmers. Business Strategy and Development, 7(2). https://doi.org/10.1002/bsd2.358 Rogers, E. M. (2003). Diffusion of innovations (5th ed.). Free Press. Udefi, K. A., Ojeh, G. N., & Nkwo, A. (2025). Effect of FinTech on economic empowerment and financial literacy in rural Nigeria. Global Journal of Artificial Intelligence and Technology Development, 3(2), 26–44. https://doi.org/10.5281/zenodo.15723273 Wakunuma, K., Siwale, J., & Beck, R. (2019). Computing for social good: Supporting microfinance institutions in Zambia. Electronic Journal of Information Systems in Developing Countries, 85(3), e12090. https://doi.org/10.1002/ISD2.12090

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