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Financial Education and Loan Default Behaviour in Rural Microfinance Systems: Evidence from Structural Equation Modelling in Cameroon

2026Open accessUniversité de Dschang

In plain language

Financial education for clients represents a critical factor in mitigating operational risks faced by microfinance institutions. An investigation into rural microfinance systems in the North West Region of Cameroon examined how client financial literacy influences loan default rates. Using an opportunistic sampling approach, data were gathered from loan officers across 60 institutions affiliated with the Cameroon Cooperative Credit Union League. Structural equation modelling evaluated the relationships between educational deficits and default patterns. The analysis revealed that gaps in client training regarding money management, debt management, and financial negotiations contributed 49.2 percent to the loan default rate. Expanding structured educational programmes for clients can strengthen their ability to handle financial commitments, offering microfinance institutions an effective operational strategy to lower default rates across their lending portfolios.

Key takeaways

  • A lack of client education in money management, debt management, and financial negotiations contributes 49.2 percent to the loan default rate in microfinance institutions.
  • The study evaluated data collected from loan officers across 60 microfinance institutions affiliated with CamCCUL in Cameroon.
  • Structural equation modelling demonstrated that improving financial education skills directly reduces client default rates.
  • Management teams in microfinance institutions are advised to invest in targeted client financial education to lower lending risks.

Why it matters

Loan defaults threaten the operational stability of rural microfinance lenders, which are central to financial inclusion. Showing that nearly half of loan default behaviour stems from specific gaps in client education gives lenders an evidence-based operational focus. Training borrowers in money and debt management can improve repayment capacity, safeguarding community lenders and borrowers alike.

Commercialisation angle

The findings provide applied insights that microfinance institutions, credit unions, and financial development organisations can use to design targeted training modules in money and debt management. Because the abstract evaluates survey data rather than a tested commercial toolkit or software product, this work sits at an applied research stage that microfinance operators can adapt into their existing lending workflows.

AI-generated from the published abstract. Always read the original work before citing.

Abstract

Abstract The biggest operational threat to microfinance institutions is likely the absence of financial education for MFI clients. This study attempts to investigate the effect of financial education of MFIs' clients on the rate of loan default. The study employed an opportunistic sampling technique to source data from loan officers of 60 randomly selected microfinance institutions affiliated to CamCCUL in the North West Region of Cameroon. The collected data were analysed using the SMART PLS software program and Microsoft Excel. The Structural Equation Model (SEM) was used to establish the effects of customers’ financial education on loan default rate. The results from the SEM regression coefficients revealed that the lack of money management education, debt management education and financial negotiations education by MFIs' clients contributes 49.2% to the loan default rate in MFIs. Therefore, if these MFIs invest more in educating their clients on financial education skills, the loan default rate will decrease. The study, therefore, recommended that the management of MFIs should invest in the financial education of their clients, as this will go a long way to increase their ability to handle their financial obligations, thus reducing the loan default rate. Keywords Customers’ Financial EducationLoan Default RateMicrofinance clientsMicrofinance institutions and Structural Equation Model

Research topics

  • Microfinance and Financial Inclusion
  • Financial Literacy, Pension, Retirement Analysis
  • Working Capital and Financial Performance

Sustainable Development Goals

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DOI: 10.5281/zenodo.22055480

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