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Qualitative Analysis of Financial Literacy and Loan Repayment Dynamics Among MSMEs in Kenya

Received: 23 June 2026     Accepted: 6 July 2026     Published: 21 August 2026
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Abstract

Micro, Small and Medium Enterprises (MSMEs) play a significant role in employment, income generation and Gross Domestic Product (GDP) in Kenya, but many enterprises remain financially weak, carry heavy loan debt and struggle to repay. This study formulates a nonlinear ordinary differential equation (ODE) model to investigate the interaction between financial literacy, financial health, loan burden, cash reserves and stressors in the business environment for MSMEs in Kenya. The model provides a flexible tool for analysing the equilibrium behavior, positivity, boundedness, local stability and parameter sensitivity. The analysis shows that under economically sensible assumptions the model solutions are non-negative and bounded. An asymptotic stable equilibrium is constructed and calculated to be cash exhausted with the baseline parameter set and found to be locally stable. Sensitivity results show that financial efficacy and literacy intervention have positive effects on financial health, while literacy decay, debt-servicing and business stressors have negative effects on enterprise sustainability. The phase portrait and sensitivity visualization illustrate the financial-health--loan-burden trajectory and the relative influence of the principal model parameters. The study yields a mathematical framework for designing financial literacy programs, credit-management strategies, and interventions to support loan repayment that can help improve the resilience of MSMEs and their ability to repay loans.

Published in Applied and Computational Mathematics (Volume 15, Issue 4)
DOI 10.11648/j.acm.20261504.13
Page(s) 144-153
Creative Commons

This is an Open Access article, distributed under the terms of the Creative Commons Attribution 4.0 International License (http://creativecommons.org/licenses/by/4.0/), which permits unrestricted use, distribution and reproduction in any medium or format, provided the original work is properly cited.

Copyright

Copyright © The Author(s), 2026. Published by Science Publishing Group

Keywords

Mathematical Modeling, MSMEs, Financial Literacy, Loan Repayment, Stability Analysis, Sensitivity Analysis

References
[1] Guyo, A., & Mutwiri, N. (2025). Macroeconomic environment and financial performance of small and medium enterprises in Nairobi City County, Kenya. International Journal of Management and Commerce Innovations, 13(1), 106-120.
[2] Suri, T., & Jack, W. (2016). The long-run poverty and gender impacts of mobile money. Science, 354(6317), 1288-1292.
[3] FSD Kenya. (2016). FinAccess household survey 2016. Financial Sector Deepening Kenya.
[4] Central Bank of Kenya. (2024). Bank supervision annual report. Central Bank of Kenya.
[5] Philip, L. (2025). The role of financial literacy in driving sustainable entrepreneurial success: A case study of Lapo Microfinance Institution (MFI), Nigeria. Issues and Perspectives in Business and Social Sciences, 5(1), 37-48.
[6] Priyantoro, R., & Aisjah, S. (2023). The effect of financial literacy on MSME performance with financial inclusion as a mediating variable. International Journal of Research in Business and Social Science, 12(3), 214-224.
[7] Mwaniki, L. N. (2019). Financial literacy and growth of small and medium enterprises in Nyeri County, Kenya (Master's thesis, Kenyatta University).
[8] Mutegi, H. K., Njeru, P. W., & Ongesa, N. T. (2015). Financial literacy and its impact on loan repayment by small and medium entrepreneurs. International Journal of Economics, Commerce and Management, 3(3), 1-15.
[9] Gaudence, M., Patrick, M., & Denys, M. (2018). Effects of financial literacy on loan repayment among small and medium entrepreneurs of microfinance institutions: Case study of Inozamihigo Umurenge SACCO in Nyaruguru District. IOSR Journal of Business and Management, 20(5), 19-37.
[10] OECD. (2020). OECD/INFE 2020 international survey of adult financial literacy. OECD Publishing.
[11] Waziri, M., Ngaruko, D., & Ngatuni, P. (2024). Influence of entrepreneurship knowledge on employability of TVET graduates in Tanzania: The moderating role of self-efficacy. East African Journal of Business and Economics, 7(1), 407-425.
[12] Ubfal, D., Arráiz, I., Beuermann, D. W., Frese, M., Maffioli, A., & Verch, D. (2022). Impact of soft-skills training for entrepreneurs in Jamaica. World Development, 152, 105787.
[13] Apiors, E. K., & Suzuki, A. (2023). Effects of mobile money education on mobile money usage: Evidence from Ghana. European Journal of Development Research, 35(3), 715-742.
[14] Zhou, L. (2020). The research on issues and countermeasures of accounting information of SMEs. International Journal of Business and Management, 5(3), 223-225.
[15] Kaya, O. (2024). The impact of late payments on SMEs' access to finance: Evidence from credit rationing and loan terms. Economic Modelling, 141.
[16] Alfaro, I., Bloom, N., & Lin, X. (2024). The finance uncertainty multiplier. Journal of Political Economy, 132(2), 577-615.
[17] Michael, B., Mirau, S., & Kimathi, M. (2024). Mathematical modelling of financial literacy and loan repayment in savings and credit cooperative societies of Tanzania. Journal of Mathematics and Informatics, 26, 13-25.
[18] Pontryagin, L. (1962). The Mathematical Theory of Optimal Processes. Wiley.
[19] Fleming, W. H., & Rishel, R. W. (2012). Deterministic and stochastic optimal control. Springer New York.
[20] Lukes, D. L. (1982). Differential equations: Classical to controlled. Academic Press.
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  • APA Style

    Ngiela, A., Kimathi, M., Rotich, S. (2026). Qualitative Analysis of Financial Literacy and Loan Repayment Dynamics Among MSMEs in Kenya. Applied and Computational Mathematics, 15(4), 144-153. https://doi.org/10.11648/j.acm.20261504.13

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    ACS Style

    Ngiela, A.; Kimathi, M.; Rotich, S. Qualitative Analysis of Financial Literacy and Loan Repayment Dynamics Among MSMEs in Kenya. Appl. Comput. Math. 2026, 15(4), 144-153. doi: 10.11648/j.acm.20261504.13

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    AMA Style

    Ngiela A, Kimathi M, Rotich S. Qualitative Analysis of Financial Literacy and Loan Repayment Dynamics Among MSMEs in Kenya. Appl Comput Math. 2026;15(4):144-153. doi: 10.11648/j.acm.20261504.13

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  • @article{10.11648/j.acm.20261504.13,
      author = {Albert Ngiela and Mark Kimathi and Stanley Rotich},
      title = {Qualitative Analysis of Financial Literacy and Loan Repayment Dynamics Among MSMEs in Kenya},
      journal = {Applied and Computational Mathematics},
      volume = {15},
      number = {4},
      pages = {144-153},
      doi = {10.11648/j.acm.20261504.13},
      url = {https://doi.org/10.11648/j.acm.20261504.13},
      eprint = {https://article.sciencepublishinggroup.com/pdf/10.11648.j.acm.20261504.13},
      abstract = {Micro, Small and Medium Enterprises (MSMEs) play a significant role in employment, income generation and Gross Domestic Product (GDP) in Kenya, but many enterprises remain financially weak, carry heavy loan debt and struggle to repay. This study formulates a nonlinear ordinary differential equation (ODE) model to investigate the interaction between financial literacy, financial health, loan burden, cash reserves and stressors in the business environment for MSMEs in Kenya. The model provides a flexible tool for analysing the equilibrium behavior, positivity, boundedness, local stability and parameter sensitivity. The analysis shows that under economically sensible assumptions the model solutions are non-negative and bounded. An asymptotic stable equilibrium is constructed and calculated to be cash exhausted with the baseline parameter set and found to be locally stable. Sensitivity results show that financial efficacy and literacy intervention have positive effects on financial health, while literacy decay, debt-servicing and business stressors have negative effects on enterprise sustainability. The phase portrait and sensitivity visualization illustrate the financial-health--loan-burden trajectory and the relative influence of the principal model parameters. The study yields a mathematical framework for designing financial literacy programs, credit-management strategies, and interventions to support loan repayment that can help improve the resilience of MSMEs and their ability to repay loans.},
     year = {2026}
    }
    

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  • TY  - JOUR
    T1  - Qualitative Analysis of Financial Literacy and Loan Repayment Dynamics Among MSMEs in Kenya
    AU  - Albert Ngiela
    AU  - Mark Kimathi
    AU  - Stanley Rotich
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    DO  - 10.11648/j.acm.20261504.13
    T2  - Applied and Computational Mathematics
    JF  - Applied and Computational Mathematics
    JO  - Applied and Computational Mathematics
    SP  - 144
    EP  - 153
    PB  - Science Publishing Group
    SN  - 2328-5613
    UR  - https://doi.org/10.11648/j.acm.20261504.13
    AB  - Micro, Small and Medium Enterprises (MSMEs) play a significant role in employment, income generation and Gross Domestic Product (GDP) in Kenya, but many enterprises remain financially weak, carry heavy loan debt and struggle to repay. This study formulates a nonlinear ordinary differential equation (ODE) model to investigate the interaction between financial literacy, financial health, loan burden, cash reserves and stressors in the business environment for MSMEs in Kenya. The model provides a flexible tool for analysing the equilibrium behavior, positivity, boundedness, local stability and parameter sensitivity. The analysis shows that under economically sensible assumptions the model solutions are non-negative and bounded. An asymptotic stable equilibrium is constructed and calculated to be cash exhausted with the baseline parameter set and found to be locally stable. Sensitivity results show that financial efficacy and literacy intervention have positive effects on financial health, while literacy decay, debt-servicing and business stressors have negative effects on enterprise sustainability. The phase portrait and sensitivity visualization illustrate the financial-health--loan-burden trajectory and the relative influence of the principal model parameters. The study yields a mathematical framework for designing financial literacy programs, credit-management strategies, and interventions to support loan repayment that can help improve the resilience of MSMEs and their ability to repay loans.
    VL  - 15
    IS  - 4
    ER  - 

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