Financial Vulnerability Among B40 Seniors in Malaysia

Novel Predictors and the Role of Islamic Social Finance

Authors

  • Fahd Al-shaghdari Institute of Islamic Banking & Finance, International Islamic University Malaysia, Jalan Gombak, 53100 Kuala Lumpur, Malaysia. https://orcid.org/0000-0003-4479-7720
  • Rusni Hassan Institute of Islamic Banking & Finance, International Islamic University Malaysia, Jalan Gombak, 53100 Kuala Lumpur, Malaysia.
  • Syarah Syahira Mohd Yusoff Institute of Islamic Banking & Finance, International Islamic University Malaysia, Jalan Gombak, 53100 Kuala Lumpur, Malaysia.
  • Syed Marwan Mujahid Syed Azman Institute of Islamic Banking & Finance, International Islamic University Malaysia, Jalan Gombak, 53100 Kuala Lumpur, Malaysia. https://orcid.org/0000-0003-0505-4860
  • Syed Salman Lincoln University College, Jalan SS 6/12, 47301, Petaling Jaya, Selangor, Malaysia. https://orcid.org/0000-0001-7101-5961
  • Nurul Afidah Mohamad Yusof Universiti Tunku Abdul Rahman, Jalan Universiti, 31900 Kampar, Perak, Malaysia. https://orcid.org/0000-0002-1356-592X

DOI:

https://doi.org/10.33102/jmifr.659

Keywords:

Financial vulnerability, B40, senior citizens, social support, financial behaviour, healthcare, Islamic social finance

Abstract

The main purpose of this research is to identify novel contributing factors that increase vulnerability to financial risks of B40 seniors aged 60 or above in Malaysia and to identify the most critical factor affecting financial vulnerability among this group. The study utilises quantitative research method, using a convenience sampling method to collect data in the form of a survey design among 208 Malaysian B40 senior citizens. The collected data were analysed via SPSS Version 28. Through empirical analysis, it was ascertained that medical costs, saving habits, and support from the social environment are significant factors affecting the financial vulnerability of B40 Malaysian seniors. Yet the results found statistically insignificance relationship between financial literacy and financial vulnerability among B40 Malaysian seniors. These findings indicate that vulnerability among low-income seniors arises primarily from systemic inadequacies, particularly unaffordable healthcare, limited savings capacity, and weakening safety nets, rather than individual knowledge deficits. In response to these structural challenges, the study highlights the potential role of Islamic social finance in strengthening elderly financial resilience. Instruments such as subsidised takaful health schemes, waqf-based support funds, and targeted zakat assistance can alleviate medical burdens and reinforce social protection mechanisms. The findings therefore support the need for integrated, Shariah-aligned policy reforms to enhance financial security and promote inclusive ageing within Malaysia’s B40 community.

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References

Ali, L., Khan, M. K. N. & Ahmad, H. (2020). Education of the head and financial vulnerability of households: Evidence from a household’s survey data in Pakistan. Social Indicators Research, 147(2), 439–463. https://doi.org/10.1007/s11205-019-02164-2

Allen, S. F., & Miller, J. (2010). A community initiative to support family financial well-being. Community, Work & Family, 13(1), 89–100. https://doi.org/10.1080/13668800903101581

Al-Shaghdari, F., & Adeyemi, A. A. (2020). Determinants of Islamic credit card adoption in Malaysia: a structural equation modeling approach. International Journal of All Research Writings, 3(4), 1‒10. http://www.ijciras.com/PublishedPaper/IJCIRAS1649.pdf

Al-Shaghdari, F., Hakami, T.A., Bardai, B., Saleh, A.O.H. (2023). Investigating the parameters influencing Islamic banks financial performance: Evidence from five Southeast Asian countries. In Alareeni, B., Hamdan, A. (Eds.), Innovation of Businesses, and Digitalization during Covid-19 Pandemic (pp. 25‒90). Springer, Cham. https://doi.org/10.1007/978-3-031-08090-6_2

Ampudia, M., Van Vlokhoven, H., & Żochowski, D. (2016). Financial fragility of Euro area households. Journal of Financial Stability, 27, 250‒262. https://doi.org/10.1016/j.jfs.2016.02.003

Applanaidu, S. D., Abdul-Adzis, A., Jan, S. J., & Abidin, N. Z. (2022). Socio-economics factors affecting b40 households food expenditure in Malaysia. Journal of Positive School Psychology, 6(5), 4539‒4553. http://journalppw.com

Bernama. (2020). Over 50 Pct of EPF contributors aged 54 have below RM50,000 savings. Bernama. https://www.bernama.com/en/news.php?id=1883556

Boone Jr, H. N., & Boone, D. A. (2012). Analyzing likert data. The journal of extension, 50(2). https://doi.org/10.34068/joe.50.02.48

Bougie, R., & Sekaran, U. (2019). Research methods for business: A skill building approach (8th ed.). John Wiley & Sons.

Chatfield, C. (2018). Statistics for technology: a course in applied statistics (3rd ed.). Routledge. https://doi.org/10.1201/9780203738467

Chen, L. (2023). Disability status, financial strain, and health and well-being among older adults and adults with disabilities in California. [Dissertation, University of California]. ProQuest. https://www.proquest.com/openview/47e73dfe06accfb9c5aa1e37f3dea7ed/1?pq-origsite=gscholar&cbl=18750&diss=y

Choi, E., Han, K. M., Chang, J., Lee, Y. J., Choi, K. W., Han, C., & Ham, B. J. (2021). Social participation and depressive symptoms in community-dwelling older adults: Emotional social support as a mediator. Journal of Psychiatric Research, 137, 589‒596. https://doi.org/10.1016/j.jpsychires.2020.10.043

Choi, S. L., & Cude, B. J. (2021). Financial literacy among older adults. In G. Nicolini, & B. J. Cude. (Eds.), The Routledge Handbook of Financial Literacy (1st ed., pp. 48‒60). Routledge. https://doi.org/10.4324/9781003025221

Cohen, S., & Wills, T. A. (1985). Stress, social support, and the buffering hypothesis. Psychological Bulletin, 98(2), 310–357. https://doi.org/10.1037/0033-2909.98.2.310

Grossman, M. (2017). On the concept of health capital and the demand for health. In M. Grossman (Ed.), Determinants of health: An Economic Perspective (pp. 6–41). Columbia University Press. https://doi.org/10.7312/gros17812

Hair Jr, J. F., Sarstedt, M., Hopkins, L., & Kuppelwieser, V. G. (2014). Partial least squares structural equation modeling (PLS-SEM): An emerging tool in business research. European Business Review, 26(2), 106‒121. https://doi.org/10.1108/EBR-10-2013-0128

Hamid, F. S., & Loke, Y. J. (2021). Financial literacy, money management skill and credit card repayments. International Journal of Consumer Studies, 45(2), 235‒247. https://doi.org/10.1111/ijcs.12614

He, L., & Zhou, S. (2022). Household financial vulnerability to income and medical expenditure shocks: measurement and determinants. International journal of environmental research and public health, 19(8), 1–17. https://doi.org/10.3390/ijerph19084480

Hilgert, M. A., Hogarth, J. M., & Beverly, S. G. (2003). Household financial management: The connection between knowledge and behavior. Federal Reserve Bulletin, 89, 309–322. https://heinonline.org/HOL/Page?handle=hein.journals/fedred89&div=90&g_sent=1&casa_token=&collection=journals

Kline, R. (2013). Exploratory and confirmatory factor analysis. In Y. Petscher, C. Schatschneider, D. L. Compton (Eds.), Applied Quantitative Analysis in the Social Sciences (pp. 171‒207). Routledge. https://doi.org/10.4324/9780203108550

Lee, M. K., & Oh, J. (2020). Health-related quality of life in older adults: Its association with health literacy, self-efficacy, social support, and health-promoting behavior. Healthcare, 8(4), 1–13. https://doi.org/10.3390/healthcare8040407

Lusardi, A., & Mitchell, O. S. (2011). Financial literacy and planning: Implications for retirement wellbeing [Working Paper]. National Bureau of Economic Research. https://doi.org/10.3386/w17078

Lusardi, A., Mitchell, O. S., & Oggero, N. (2020). Debt and financial vulnerability on the verge of retirement. Journal of Money, 52(5), 1005–1034. https://doi.org/10.1111/jmcb.12671

Magli, A. S., Sabri, M. F., Rahim, H. A., & Othman, M. A. (2022). Payment behaviour among B40 households during COVID-19 as a mediator towards financial well-being. Malaysian Journal of Consumer and Family Economics, 28, 1‒32. https://share.google/tm0buh3bn7mFccBlc

Mahdzan, N. S., Zainudin, R., Abd Sukor, M. E., Zainir, F., & Wan Ahmad, W. M. (2020). An exploratory study of financial well-being among Malaysian households. Journal of Asian Business and Economic Studies, 27(3), 285‒302. https://doi.org/10.1108/JABES-12-2019-0120

Megat, P. A., Al-Shaghdari, F., Bin Ngah, B., & Abdelfattah, S. S. (2024). Assessing the predictive benefits of Waqftech smart contracts on corporate waqf crowdfunding among Malaysian enterprises. Journal of Islamic marketing, 15(5), 130‒1325. https://doi.org/10.1108/JIMA-08-2023-0262

Modigliani, F. (1975). The life cycle hypothesis of saving twenty years later. In M. Parkin & A.R. Nobay (Eds.), Contemporary Issues in Economics (pp. 2–35). Manchester University Press.

Mohd, T. A. M. T., Yunus, R. M., Hairi, F., Hairi, N. N., & Choo, W. Y. (2019). Social support and depression among community dwelling older adults in Asia: a systematic review. BMJ open, 9(7), 1‒12. https://doi.org/10.1136/bmjopen-2018-026667

Mokhtar, N., & Husniyah, A. R. (2017). Determinants of financial well-being among public employees in Putrajaya, Malaysia. Pertanika Journal Social Sciences and Humanities, 25(3), 1241‒1260. http://psasir.upm.edu.my/id/eprint/57807/1/14%20JSSH-1600-2016-4thProof.pdf

Morgan, P. J., & Long, T. Q. (2020). Financial literacy, financial inclusion, and savings behavior in Laos. Journal of Asian Economics, 68, 1–20. https://doi.org/10.1016/j.asieco.2020.101197

Mueller, D. C. (1972). A life cycle theory of the firm. The Journal of Industrial Economics, 20(3), 199–219. https://doi.org/10.2307/2098055

Muhammad, T., & Al-Shaghdari, F. (2024). Islamic social finance system: an alternative tool for tackling educational setbacks in Northern Nigeria. Journal of Islamic Marketing, 15(11), 3115‒3136. https://doi.org/10.1108/JIMA-05-2023-0149

Muhammad, T., Al-shaghdari, F., & Ibrahim, S. M. (2023). Islamic social finance in addressing poverty reduction and economic growth: Using structural equation modeling. The Journal of Muamalat and Islamic Finance Research, 20(2), 179–191. https://doi.org/10.33102/jmifr.529

Munisamy, A., Sahid, S., & Hussin, M. (2022). A financial literacy model of Malaysian B40 households: The case of financial well-being, education level and socioeconomic status. Proceedings, 82(1), 1‒9. https://doi.org/10.3390/proceedings2022082064

Netemeyer, R. G., Bearden, W. O., & Sharma, S. (2003). Scaling procedures: Issues and applications. Sage publications. https://doi.org/10.4135/9781412985772

Nunnally, J. C., & Bernstein, I. H. (1994). Psychometric theory (3rd ed.). McGraw-Hill.

O’Connor, G. E., Newmeyer, C. E., Wong, N. Y. C., Bayuk, J. B., Cook, L. A., Komarova, Y., Loibl, C., Ong, L. L., & Warmath, D. (2019). Conceptualizing the multiple dimensions of consumer financial vulnerability. Journal of Business Research, 100, 421‒430. https://doi.org/10.1016/j.jbusres.2018.12.033

Pangestu, S., & Karnadi, E. B. (2020). The effects of financial literacy and materialism on the savings decision of generation Z Indonesians. Cogent Business & Management, 7(1), 1‒18. https://doi.org/10.1080/23311975.2020.1743618

Rai, K., Dua, S., & Yadav, M. (2019). Association of financial attitude, financial behaviour and financial knowledge towards financial literacy: A structural equation modeling approach. FIIB Business Review, 8(1), 51‒60. https://doi.org/10.1177/2319714519826651

Sabri, M., Wijekoon, R., & Rahim, H. (2020). The influence of money attitude, financial practices, self-efficacy and emotion coping on employees’ financial well-being. Management Science Letters, 10(4), 889–900. https://doi.org/10.5267/j.msl.2019.10.007

Seldal, M. N., & Nyhus, E. K. (2022). Financial vulnerability, financial literacy, and the use of digital payment technologies. Journal of Consumer Policy, 45(2), 281‒306. https://doi.org/10.1007/s10603-022-09512-9

Tan, J., Cai, D., Han, K., & Zhou, K. (2022). Understanding peasant household’s land transfer decision-making: A perspective of financial literacy. Land Use Policy, 119 https://doi.org/10.1016/j.landusepol.2022.106189

The Borneo Post. (2021). Population board says Malaysia will reach ageing nation status earlier if pandemic continues. https://www.dosm.gov.my/uploads/content-downloads/file_20221004145130.pdf

Thoits, P. A. (2011). Mechanisms linking social ties and support to physical and mental health. Journal of health and social behavior, 52(2), 145–161. https://doi.org/10.1177/0022146510395592

Weston, R., & Gore Jr, P. A. (2006). A brief guide to structural equation modeling. The counseling psychologist, 34(5), 719‒751. https://doi.org/10.1177/0011000006286345

Xu, S., Yang, Z., Ali, S. T., Li, Y., & Cui, J. (2022). Does financial literacy affect household financial behavior? The Role of Limited Attention. Frontiers in Psychology, 13, 1–23. https://doi.org/10.3389/fpsyg.2022.906153

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Published

2025-12-01

How to Cite

Al-shaghdari, F., Hassan, R., Mohd Yusoff, S. S., Mujahid Syed Azman, S. M., Salman, S., & Mohamad Yusof, N. A. (2025). Financial Vulnerability Among B40 Seniors in Malaysia: Novel Predictors and the Role of Islamic Social Finance. The Journal of Muamalat and Islamic Finance Research, 22(2), 165–179. https://doi.org/10.33102/jmifr.659

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