Determinants of Insurance Penetration in Nigeria: An Empirical Investigation of Digital Infrastructure Indicators Using the Autoregressive Distributed Lag Model

Solomon David Pere PhD; Kologa; Inebimowei Freedom PhD

doi:10.56201/ijefm.v11.no8.2026.pg20.33

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Determinants of Insurance Penetration in Nigeria: An Empirical Investigation of Digital Infrastructure Indicators Using the Autoregressive Distributed Lag Model

Solomon David Pere PhD, Kologa, Inebimowei Freedom PhD

Abstract

This paper empirically examines the factors that influence insurance penetration in Nigeria with particular emphasis on the digital system indicators, spanning the period 1Q2010 to 4Q2025. It quantifies three explanatory factors using data from quarterly surveys conducted by NAICOM, NCC, CBN, World Bank and ITU: accessibility of electronic insurance gateways , mobile internet coverage , and the presence of the smartphone devices . By implementing an ex post facto methodology with the bounds testing framework and the ARDL model of error correction, the research includes both transient and permanent relationships. A long run cointegrating nexus is revealed by the bounds procedure. The error correction outputs indicate that the effects are mixed, with MIP contributing positively and statistically significantly in the short term, DIPA having a small, non-significant impact, and SMU having a large negative impact in the short term. The negative error correction coefficient is statistically significant and indicates that the system will rapidly return to equilibrium after disturbances. Robustness checks confirm the robustness of the estimated model. Overall, the study finds that the variables related to digital infrastructure have a complex influence on penetration, with mobile broadband as the main driver and platforms and smartphones alone being insufficient if not backed by further investments in digital education, consumer enlightenment and building relationships. The paper calls for expansion of wireless broadband networks, improving ease of use of platforms and implementing educational outreach and strengthening programmes to increase insurance uptake in Nigeria.

Keywords

Insurance PenetrationDigital InfrastructureDigital Insurance PlatformsMobile Internet Penetration and Smartphone Usage

References

Aker, J. C., & Mbiti, I. M. (2010). Mobile phones and economic development in Africa. Journal of Economic Perspectives, 24(3), 207-232. Alli, N. G., & Ganiyu, K. (2025). Empowering insurance consumers in Nigeria: Exploring the interplay between financial literacy, trust, and decision-making. Journal of Risk Management and Insurance, 29(1), 17-46. https://doi.org/10.69582/jrmi.2025.1.2917 Davis, F. D. (1989). Perceived usefulness, perceived ease of use, and user acceptance of information technology. MIS Quarterly, 13(3), 319-340. Dercon, S., Gunning, J. W., & Zeitlin, A. (2014). The demand for insurance in developing countries. Annual Review of Economics, 6(1), 221-243. Gomber, P., Kauffman, R. J., Parker, C., & Weber, B. W. (2018). On the fintech revolution: Interpreting the forces of innovation, disruption, and transformation in financial services. Journal of Management Information Systems, 35(1), 220- 265. https://doi.org/10.1080/07421222.2018.1440766 GSMA. (2024). The mobile economy: Sub-Saharan Africa 2024. GSMA Intelligence. Imo, O. I., & Chilekezi, O. (2025). Leveraging fintech and insurtech to bridge Nigeria's insurance penetration gap: The mediating role of regulation, trust, and digital access. African Journal of Management and Business Research, 19(1), 371- 385. https://doi.org/10.62154/ajmbr.2025.019.01028 Jack, W., & Suri, T. (2014). Risk sharing and transactions costs: Evidence from Kenya's mobile money initiatives. American Economic Review, 104(1), 183-223. Kshetri, N. (2016). Big data, cloud computing, and mobile money in developing countries. Communications of the ACM, 59(5), 36-38. Leong, K., Sung, A., & Teissier, C. (2021). Financial technology for sustainable development. In W. Leal Filho, A. M. Azul, L. Brandli, P. G. Özuyar, & T. Wall (Eds.), Encyclopedia of the UN Sustainable Development Goals: Partnerships for the Goals (pp. 453-466). Springer International Publishing. NAICOM. (2022). Operational guidelines for insurance web aggregators. National Insurance Commission. NAICOM. (2023). Annual insurance market report. National Insurance Commission. NAICOM. (2024). Quarterly insurance market performance report Q4 2024. National Insurance Commission. NAICOM. (2025). Insurance industry performance report 2024. National Insurance Commission. NCC. (2024). Quarterly subscriber statistics report Q3 2024. Nigerian Communications Commission. NCC. (2025). Quarterly telecommunications statistics. Nigerian Communications Commission. NIA. (2025). Nigerian insurance industry statistical bulletin 2024. Nigerian Insurers Association. Olayinka, O., & Adebayo, A. (2020). Determinants of insurance penetration in Nigeria: A macroeconomic analysis. Nigerian Journal of Economics, 12(1), 112-134. Outreville, J. F. (2013). The relationship between insurance and economic development: A review of the literature. The Geneva Papers on Risk and Insurance, 38(2), 173-188. Pesaran, M. H., Shin, Y., & Smith, R. J. (2001). Bounds testing approaches to the analysis of level relationships. Journal of Applied Econometrics, 16(3), 289-326. Swiss Re. (2023). World insurance: A global perspective. Swiss Re Institute. Umar, Y., & Abubakar, M. (2021). Institutional factors and insurance market development in Sub- Saharan Africa. African Development Review, 33(2), 215-228. Van Niekerk, M. G., & Phaladi, N. H. (2021). Digital financial services: Prospects and challenges. Potchefstroom Electronic Law Journal, 24. https://doi.org/10.17159/1727- 3781/2021/v24i0a10744 Venkatesh, V., & Bala, H. (2008). Technology Acceptance Model 3 and a research agenda on interventions. Decision Sciences, 39(2), 273-315. World Bank. (2024). Global financial development report 2024: Financial inclusion. World Bank Publications.

Determinants of Insurance Penetration in Nigeria: An Empirical Investigation of Digital Infrastructure Indicators Using the Autoregressive Distributed Lag Model

Abstract

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