Connecting the Dots: How Regulatory Enforcement Shapes Credit Risk Management Performance Among Digital Lending Platforms in Nigeria

Authors

DOI:

https://doi.org/10.5281/zenodo.21883317

Keywords:

Digital lending; regulatory enforcement; regulatory compliance; credit risk management; fintech; Nigeria; institutional theory

Abstract

Digital lending has become a prominent source of retail credit in Nigeria, combining rapid origination with high-volume, largely unsecured loans. In this setting, regulators have tightened expectations around data protection, consumer treatment, and responsible lending, yet it is not clear whether enforcement translates into stronger credit risk management performance within lending platforms. This article examines how enforcement-responsive regulatory compliance relates to credit risk outcomes among regulated digital lenders and dedicated digital lending units in Lagos State. The analysis draws on survey responses from 185 professionals involved in credit assessment, risk management, compliance, finance and operations, and data analytics. Enforcement-responsive compliance was captured with a six-item scale covering lending requirements, privacy safeguards, consumer protection, ethical recovery, and timely reporting, while credit risk management performance was measured using seven items on default control, recovery effectiveness, portfolio quality, credit-loss reduction, and sustainable lending. Hierarchical ordinary least squares models with HC3 robust standard errors were estimated, and AI-driven predictive analytics, alternative data utilisation, macroeconomic volatility, and respondent characteristics were introduced as controls. Enforcement-responsive compliance showed a positive and statistically significant association with credit risk management performance in the bivariate model (β = .263, t = 3.708, p \< .001). The coefficient increased when technological and macroeconomic controls were added (β = .321, t = 5.909, p \< .001; R² = .424) and remained stable after demographic adjustment (β = .327, t = 5.681, p \< .001). These results indicate that compliance practices are linked to better portfolio outcomes even in the presence of advanced analytics and alternative data. Rather than operating solely as a legal overhead, enforcement-responsive compliance appears as a governance capability that supports disciplined use of data and models, more accountable recovery behaviour, and more transparent reporting in Nigeria’s digital credit market.

References

Anagnostopoulos, I. (2018). Fintech and regtech: Impact on regulators and banks. Journal of Economics and Business, 100, 7-25. https://doi.org/10.1016/j.jeconbus.2018.07.003

Bazarbash, M. (2019). FinTech in financial inclusion: Machine learning applications in assessing credit risk (IMF Working Paper No. 19/109). International Monetary Fund. https://doi.org/10.5089/9781498314428.001

Berg, T., Burg, V., Gombović, A., & Puri, M. (2020). On the rise of fintechs: Credit scoring using digital footprints. Review of Financial Studies, 33(7), 2845-2897. https://doi.org/10.1093/rfs/hhz099

Claessens, S., Frost, J., Turner, G., & Zhu, F. (2018). Fintech credit markets around the world: Size, drivers and policy issues. BIS Quarterly Review, September, 29-49.

Cornelli, G., Frost, J., Gambacorta, L., Rau, P. R., Wardrop, R., & Ziegler, T. (2023). Fintech and big tech credit: Drivers of the growth around the world. Journal of Banking & Finance, 148, 106742. https://doi.org/10.1016/j.jbankfin.2022.106742

Crisanto, J. C., Ehrentraud, J., & Fabian, M. (2023). Safeguarding the financial system's spare tyre: Regulating non-bank retail lenders in the digital era (FSI Insights No. 56). Bank for International Settlements.

DiMaggio, P. J., & Powell, W. W. (1983). The iron cage revisited: Institutional isomorphism and collective rationality in organizational fields. American Sociological Review, 48(2), 147-160. https://doi.org/10.2307/2095101

Federal Competition and Consumer Protection Commission. (2022). Limited interim regulatory/registration framework and guidelines for digital lending, 2022. https://fccpc.gov.ng/

Federal Competition and Consumer Protection Commission. (2025). Digital, electronic, online, or non-traditional consumer lending regulations, 2025. https://fccpc.gov.ng/

Federal Republic of Nigeria. (2023). Nigeria Data Protection Act, 2023. Nigeria Data Protection Commission. https://ndpc.gov.ng/

Jagtiani, J., & Lemieux, C. (2019). The roles of alternative data and machine learning in fintech lending: Evidence from the LendingClub consumer platform. Financial Management, 48(4), 1009-1029. https://doi.org/10.1111/fima.12244

Khan, H. H., Khan, S., & Ghafoor, A. (2023). Fintech adoption, the regulatory environment and bank stability: An empirical investigation from GCC economies. Borsa Istanbul Review, 23(6), 1263-1281. https://doi.org/10.1016/j.bir.2023.10.010

MacKinnon, J. G., & White, H. (1985). Some heteroskedasticity-consistent covariance matrix estimators with improved finite sample properties. Journal of Econometrics, 29(3), 305-325. https://doi.org/10.1016/0304-4076(85)90158-7

Podsakoff, P. M., MacKenzie, S. B., Lee, J.-Y., & Podsakoff, N. P. (2003). Common method biases in behavioral research: A critical review of the literature and recommended remedies. Journal of Applied Psychology, 88(5), 879-903. https://doi.org/10.1037/0021-9010.88.5.879

Restoy, F. (2021). Fintech regulation: How to achieve a level playing field (FSI Occasional Paper No. 17). Bank for International Settlements.

Scott, W. R. (2014). Institutions and organizations: Ideas, interests, and identities (4th ed.). Sage.

Suchman, M. C. (1995). Managing legitimacy: Strategic and institutional approaches. Academy of Management Review, 20(3), 571-610. https://doi.org/10.2307/258788

World Bank. (2021). Consumer risks in fintech: New manifestations of consumer risks and emerging regulatory approaches. World Bank. https://doi.org/10.1596/35699

Downloads

Published

2026-08-11

How to Cite

Connecting the Dots: How Regulatory Enforcement Shapes Credit Risk Management Performance Among Digital Lending Platforms in Nigeria. (2026). Neewaj Journal of Global Economics, Finance & Management Studies, 2(2). https://doi.org/10.5281/zenodo.21883317