Financial behavior and risk management strategies among low-income households: A bibliometric analysis of research trends, intellectual structure, and future research directions
DOI:
https://doi.org/10.51867/ajernet.7.4.41Keywords:
Bibliometric Analysis, Financial Behavior, Financial Resilience, Financial Inclusion, Household Risk Management, Low-Income HouseholdsAbstract
Low-income households are persistently exposed to economic uncertainty due to unstable income sources, limited access to formal financial services, and vulnerability to adverse financial shocks. Consequently, understanding how economically constrained households manage financial resources and respond to risks has become an important research area spanning development economics, behavioral finance, household economics, and financial inclusion. Despite substantial growth in studies examining saving practices, borrowing decisions, financial literacy, informal insurance mechanisms, and household resilience, the intellectual structure and evolution of this interdisciplinary field remain fragmented. The study is theoretically anchored in the capability approach, permanent income and consumption-smoothing theory, behavioural economics, and the financial resilience and financial inclusion frameworks, which jointly informed the search strategy and guided the interpretation of the themes identified. This study provides a comprehensive bibliometric analysis of global research on financial behavior and risk management strategies among low-income households using publications indexed in the Scopus database. Bibliographic records published between 1994 and 2025 were analysed using performance analysis and science mapping techniques. The study applies citation analysis, productivity analysis, keyword co-occurrence analysis, collaboration network analysis, and thematic evolution analysis to identify influential contributions, dominant research themes, and emerging directions. The findings reveal a growing scholarly interest in household financial resilience, particularly after increasing global attention to financial vulnerability, economic shocks, and inclusive financial systems. The intellectual landscape is characterized by interconnected themes including financial inclusion, household risk management, consumption smoothing, informal insurance, microfinance, and financial literacy. The study identifies important knowledge gaps related to digital financial technologies, climate-related financial risks, behavioral interventions, and financial resilience among vulnerable populations in developing economies. Overall, the field is best characterised as a maturing but still fragmented interdisciplinary domain, and the study recommends closer integration of the financial inclusion, literacy, and resilience sub-literatures, together with greater research and policy attention to climate-related financial risk, digital financial inclusion, and cross-cluster collaboration, to build a more cumulative and policy-relevant evidence base. By mapping the historical development and emerging trajectories of this research domain, this study provides valuable insights for scholars, policymakers, and development practitioners seeking to strengthen financial resilience among low-income households.
Downloads
References
Barrett, C. B., & Constas, M. A. (2014). Toward a theory of resilience for international development applications. Proceedings of the National Academy of Sciences, 111(40), 14625-14630. https://doi.org/10.1073/pnas.1320880111
Bastagli, F., Hagen-Zanker, J., Harman, L., Barca, V., Sturge, G., Schmidt, T., & Pellerano, L. (2016). Cash transfers: What does the evidence say? A rigorous review of the impacts of cash transfers and the role of design and implementation features. Overseas Development Institute. https://www.gov.uk/research-for-development-outputs/cash-transfers-what-does-the-evidence-say
Collins, D., Morduch, J., Rutherford, S., & Ruthven, O. (2009). Portfolios of the poor: How the world's poor live on $2 a day. Princeton University Press.
Deaton, A. (1997). The analysis of household surveys: A microeconometric approach to development policy. Johns Hopkins University Press. https://doi.org/10.1596/0-8018-5254-4
Demirgüç-Kunt, A., Klapper, L., Singer, D., Ansar, S., & Hess, J. (2022). The Global Findex Database 2021: Financial inclusion, digital payments, and resilience in the age of COVID-19. World Bank.
https://doi.org/10.1596/978-1-4648-1897-4
Devender, K., Kafila, G., Goli, G., & Shravan, M. (2025). Bibliometric trends in SMEs financial literacy research from 2021 to 2024. Future Business Journal, 11, Article 69. https://doi.org/10.1186/s43093-025-00495-w
Donthu, N., Kumar, S., Mukherjee, D., Pandey, N., & Lim, W. M. (2021). How to conduct a bibliometric analysis: An overview and guidelines. Journal of Business Research, 133, 285-296. https://doi.org/10.1016/j.jbusres.2021.04.070
Friedman, M. (1957). A theory of the consumption function. Princeton University Press.
https://doi.org/10.1515/9780691188485
Gálvez-Sánchez, F. J., Lara-Rubio, J., Verdú-Jóver, A. J., & Meseguer-Sánchez, V. (2021). Research advances on financial inclusion: A bibliometric analysis. Sustainability, 13(6), Article 3156. https://doi.org/10.3390/su13063156
Handa, S., Angeles Tanabe, G., Malde, B., Peterman, A., & Seidenfeld, D. (2022). More evidence on the impact of government social protection in sub-Saharan Africa: Ghana, Malawi, and Zimbabwe. Development Policy Review, 40(3), Article e12576. https://doi.org/10.1111/dpr.12576
Handa, S., Daidone, S., Peterman, A., Davis, B., Pereira, A., Palermo, T., & Yablonski, J. (2018). Myth-busting? Confronting six common perceptions about unconditional cash transfers as a poverty reduction strategy in Africa. The World Bank Research Observer, 33(2), 259-298. https://doi.org/10.1093/wbro/lky003
Kahneman, D., & Tversky, A. (1979). Prospect theory: An analysis of decision under risk. Econometrica, 47(2), 263-291. https://doi.org/10.2307/1914185
Kempson, E., Perotti, V., & Scott, K. (2013). Measuring financial capability: A new instrument and results from low- and middle-income countries. World Bank. https://doi.org/10.1596/16296
Lusardi, A., Hasler, A., & Yakoboski, P. J. (2021). Building up financial literacy and financial resilience. Mind & Society, 20(2), 181-187. https://doi.org/10.1007/s11299-020-00246-0
Lusardi, A., & Mitchell, O. S. (2014). The economic importance of financial literacy: Theory and evidence. Journal of Economic Literature, 52(1), 5-44. https://doi.org/10.1257/jel.52.1.5
Miller, H., Krishnan, L., & Alvarez Ruiz, L. (2023, January 10). Green inclusive finance: A framework for understanding how financial services can help low-income and vulnerable people respond to climate change. Center for Financial Inclusion. https://www.centerforfinancialinclusion.org/report/green-inclusive-finance-a-framework-for-understanding-how-financial-services-can-help-low-income-and-vulnerable-people-respond-to-climate-change/
Modigliani, F., & Brumberg, R. (1954). Utility analysis and the consumption function: An interpretation of cross-section data. In K. K. Kurihara (Ed.), Post-Keynesian economics (pp. 388-436). Rutgers University Press.
Morduch, J. (1995). Income smoothing and consumption smoothing. Journal of Economic Perspectives, 9(3), 103-114. https://doi.org/10.1257/jep.9.3.103
Page, M. J., McKenzie, J. E., Bossuyt, P. M., Boutron, I., Hoffmann, T. C., Mulrow, C. D., Shamseer, L., Tetzlaff, J. M., Akl, E. A., Brennan, S. E., Chou, R., Glanville, J., Grimshaw, J. M., Hróbjartsson, A., Lalu, M. M., Li, T., Loder, E. W., Mayo-Wilson, E., McDonald, S., … Moher, D. (2021). The PRISMA 2020 statement: An updated guideline for reporting systematic reviews. BMJ, 372, Article n71. https://doi.org/10.1136/bmj.n71
Price, D. J. de Solla. (1963). Little science, big science. Columbia University Press.
https://doi.org/10.7312/pric91844
Salignac, F., Marjolin, A., Reeve, R., & Muir, K. (2019). Conceptualizing and measuring financial resilience: A multidimensional framework. Social Indicators Research, 145(1), 17-38. https://doi.org/10.1007/s11205-019-02100-4
Sangma, A., & Das, J. (2024). A bibliometric analysis and network visualization of financial inclusion research trend in the last decade. Business Perspectives and Research. Advance online publication. https://doi.org/10.1177/22785337241281170
Sen, A. (1999). Development as freedom. Oxford University Press.
Simon, H. A. (1955). A behavioral model of rational choice. The Quarterly Journal of Economics, 69(1), 99-118. https://doi.org/10.2307/1884852
Thomas, J., & Harden, A. (2008). Methods for the thematic synthesis of qualitative research in systematic reviews. BMC Medical Research Methodology, 8, Article 45. https://doi.org/10.1186/1471-2288-8-45
Townsend, R. M. (1994). Risk and insurance in village India. Econometrica, 62(3), 539-591. https://doi.org/10.2307/2951659
U.S. Department of the Treasury. (2023, September 29). Fact sheet: The impact of climate change on American household finances. https://home.treasury.gov/news/press-releases/jy1775
Wahyuni, S., Sukmadewi, R., & Setiawati, S. (2022). Bibliometric analysis: Financial literacy and financial behavior. eCo-Buss, 5(2), 732-752. https://doi.org/10.32877/eb.v5i2.614
Zupic, I., & Čater, T. (2015). Bibliometric methods in management and organization. Organizational Research Methods, 18(3), 429-472. https://doi.org/10.1177/1094428114562629
Downloads
Published
Issue
Section
License
Copyright (c) 2026 Kudra Wedye Nyirenda, Patricia Paul Buswage, Elias Ouko Alexander

This work is licensed under a Creative Commons Attribution-NonCommercial 4.0 International License.













