A Review of Consumers’ Over-Indebtedness: Definitions, Determinants, and Measurement Approaches
Authors
Faculty of Business Management University Technology MARA, Cawangan Melaka (Malaysia)
Faculty of Business Management University Technology MARA, Cawangan Melaka (Malaysia)
Article Information
DOI: 10.47772/IJRISS.2025.910000212
Subject Category: Business
Volume/Issue: 9/10 | Page No: 2539-2546
Publication Timeline
Submitted: 2025-09-30
Accepted: 2025-10-14
Published: 2025-11-07
Abstract
Over-indebtedness is one of the biggest challenges in the modern world. While there is a growing global concern about consumer over-indebtedness, research remains limited and inconsistent in defining and measuring this condition. This review critically analyzes the various definitions and measurement approaches of over-indebtedness, identifying conceptual gaps and methodological limitations in objective, subjective, and administrative models. The paper concludes by advocating for a borrower-centric measurement framework, particularly the 'sacrifice-based' approach proposed by Schicks (2014), which offers a more holistic and accurate understanding of the over-indebtedness condition. The review highlights that adopting such frameworks will enable future researchers and policymakers to design more effective interventions and solutions to mitigate over-indebtedness challenges.
Keywords
Over-indebtedness; consumer debt; household indebtedness; financial behavior
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References
1. Afonso, J. S., Morvant-Roux, S., Guérin, I., & Forcella, D. (2016). Doing Good by Doing Well? Microfinance, Self-Regulation and Borrowers’ Over-indebtedness in the Dominican Republic. Journal of International Development, 29(7), 919–935. [Google Scholar] [Crossref]
2. Betti, G., Dourmashkin, N., Rossi, M. C., & Yin, Y. (2007). Consumer over-indebtedness in the EU: Measurement and characteristics. Journal of Economic Studies, 34(2), 136–156. [Google Scholar] [Crossref]
3. Braucher, J. (2006). Theories of overindebtedness: Interaction of structure and culture. Theoretical Inquiries in Law, 7(2), 323–346. [Google Scholar] [Crossref]
4. Braun Santos, D., Mendes-Da-Silva, W., Flores, E., & Norvilitis, J. M. (2016). Predictors of credit card use and perceived financial well-being in female college students: A Brazil-United States comparative study. International Journal of Consumer Studies, 40(2), 133–142. [Google Scholar] [Crossref]
5. Bylander, M., Res, P., Jacoby, L., Bradley, P., & Pérez, Andra, B. (2018). Over-indebtedness and microcredit in Cambodia: Moving beyond borrower-centric frames. Development Policy Review. [Google Scholar] [Crossref]
6. Carlsson, H., Larsson, S., Svensson, L., & Åström, F. (2017). Consumer Credit Behavior in the Digital Context: A Bibliometric Analysis and Literature Review. Journal of Financial Counseling & Planning, 28(1), 76–94. [Google Scholar] [Crossref]
7. D’Alessio, G., & Iezzi, S. (2013). Household over-indebtedness: definition and measurement with Italian data. In Questioni di Economia e Finanza (No. 149; Occasional Papers). [Google Scholar] [Crossref]
8. Disney, R., & Gathergood, J. (2013). Financial literacy and consumer credit portfolios. Journal of Banking and Finance, 37(7), 2246–2254. [Google Scholar] [Crossref]
9. Fatoki, O. (2015). The causes and consequences of household over-indebtedness in South Africa. Journal of Social Sciences, 43(2), 97–103. [Google Scholar] [Crossref]
10. French, D., & Mckillop, D. (2016). Financial literacy and over-indebtedness in low-income households. International Review of Financial Analysis, 48, 1–11. [Google Scholar] [Crossref]
11. Gathergood, J. (2012). Self-control, financial literacy and consumer over-indebtedness. Journal of Economic Psychology, 33(3), 590–602. [Google Scholar] [Crossref]
12. Guérin, I., Roesch, M., Subramanian, V., & Kumar, S. (2011). The social meaning of over- indebtedness and creditworthiness in the context of poor rural South India households (No. 2011–1; RUME Working Papers Series, Issue January 2011). [Google Scholar] [Crossref]
13. Gutierrez-Nieto, B., Serrano-cinca, C., & Cuesta-Gonzalez, M. de la. (2017). A multivariate study of over-indebtedness ’ causes and consequences. International Journal of Consumer Studies, 41(2), 188–198. [Google Scholar] [Crossref]
14. Hiilamo, H. (2020). The Legacy of Economic Recession in Terms of Over-Indebtedness : A Framework and Review of the Evidence. Social Policy and Society, 1–14. [Google Scholar] [Crossref]
15. Idris, N. H. (2019). Modelling Digital Technology Addiction for Individual Over-indebtednsss. The International Journal of Science & Technoledge, 7(2), 75–80. [Google Scholar] [Crossref]
16. Idris, N. H., Wee, M. F., Ismail, S., & Samad, K. A. (2018). Financial knowledge, debt literacy and over-indebtedness. The Journal of Social Sciences Research, 7(3), 22–29. [Google Scholar] [Crossref]
17. Liv, D. (2013). Study on the drivers of over-indebtedness of microfinance borrowers in Cambodia: An in-depth investigation of saturated areas. In Cambodia Institute of Development Study (Issue Final Report). [Google Scholar] [Crossref]
18. Lusardi, A., & Tufano, P. (2009). Debt literacy, financial experiences, and overindebtedness. Journal of Pension Economics and Finance, 14(04), 332–368. https://doi.org/10.1017/ [Google Scholar] [Crossref]
19. Marron, D. (2012). Producing over-indebtedness. Journal Of Cultural Economy, 5(4), 407–421. [Google Scholar] [Crossref]
20. Schicks, J. (2014). Over-indebtedness in microfinance - An empirical analysis of related factors on the borrower level. World Development, 54, 301–324. [Google Scholar] [Crossref]
21. Veliziotis, M., Bryan, M., & Taylor, M. (2010). Over-indebtedness in Great Britain: An analysis using the wealth and assets survey and household annual debtors survey (Issue October). Crown. [Google Scholar] [Crossref]
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