A Study of Financial and Non-Financial Determinants Towards Poverty Among B40 Manufacturing Employees in Penang

Authors

Muhammad Nasri Bin Haidar Ali

Faculty of Business and Communication, University Malaysia Perlis (Malaysia)

Dr. Mohd Fitri Bin Mansor

Faculty of Business and Communication, University Malaysia Perlis (Malaysia)

Dr. Hafizah Binti Abdul Rahim

Faculty of Business and Communication, University Malaysia Perlis (Malaysia)

Article Information

DOI: 10.47772/IJRISS.2026.100400378

Subject Category: Business

Volume/Issue: 10/4 | Page No: 5199-5207

Publication Timeline

Submitted: 2026-04-13

Accepted: 2026-04-18

Published: 2026-05-11

Abstract

This study investigates the financial and non-financial factors contributing to poverty among B40 manufacturing employees in Penang, Malaysia. The primary objective is to examine the influence of employment stability, financial inclusion, financial literacy, family size, non-communicable diseases (NCDs), and government financial assistance on poverty among low-income workers in the manufacturing sector. A quantitative research design was employed, where data were collected through questionnaires distributed to manufacturing employees in Penang. A total of 384 questionnaires were distributed, and 312 valid responses were obtained for analysis. Statistical analyses were conducted using the Statistical Package for Social Sciences (SPSS), including reliability analysis, correlation analysis, and multiple regression analysis. The findings indicate that financial factors such as financial inclusion and financial literacy significantly influence poverty levels among B40 employees. In addition, non-financial factors including family size and health conditions also play an important role in determining economic vulnerability. The study highlights the importance of integrated policy approaches that combine financial empowerment with social and health support systems. Such strategies are essential to improve the economic resilience and well-being of B40 manufacturing employees in Penang.

Keywords

Poverty; B40 employees; Financial literacy

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References

1. Abdul Rahman, M., Sani, N. S., Hamdan, R., Ali Othman, Z., & Abu Bakar, A. (2021). A clustering approach to identify multidimensional poverty indicators for the bottom 40 percent group. PLOS ONE, 16(8), e0255312. https://doi.org/10.1371/journal.pone.0255312 [Google Scholar] [Crossref]

2. Anyanwu, J. C. (2014). Marital status, household size and poverty in Nigeria. African Development Review, 26(4), 430–441. [Google Scholar] [Crossref]

3. Banerjee, A. V., & Duflo, E. (2011). Poor economics: A radical rethinking of the way to fight global poverty. PublicAffairs. [Google Scholar] [Crossref]

4. Bayar, A. A. (2023). The impact of financial development on income inequality and poverty. PLOS ONE, 18(10), e0291651. https://doi.org/10.1371/journal.pone.0291651 [Google Scholar] [Crossref]

5. Bhattacharjee, S. (2019). Household size and poverty: A literature review. Jagannath University Journal of Arts, 9(1), 165–178. [Google Scholar] [Crossref]

6. De Haan, J., Pleninger, R., & Sturm, J.-E. (2021). Does financial development reduce the poverty gap? Social Indicators Research, 161(1), 1–27. https://doi.org/10.1007/s11205-021-02705-8 [Google Scholar] [Crossref]

7. Department of Statistics Malaysia. (2022). Poverty statistics in Malaysia. https://www.dosm.gov.my/ [Google Scholar] [Crossref]

8. Engelgau, M. M., Karan, A., & Mahal, A. (2012). The economic impact of non-communicable diseases on households in India. Globalization and Health, 8(11). https://doi.org/10.1186/1744-8603-8-9 [Google Scholar] [Crossref]

9. Hasan, M., Le, T., & Hoque, A. (2021). How does financial literacy impact on inclusive finance? Financial Innovation, 7(1). https://doi.org/10.1186/s40854-021-00259-9 [Google Scholar] [Crossref]

10. Isamail, N., Said, R., Ismail, N. W., & Haron, S. A. (2024). Non-communicable diseases impact low-income households in Malaysia. Malaysian Journal of Medical Sciences, 31(1), 124–139. https://doi.org/10.21315/mjms2024.31.1.11 [Google Scholar] [Crossref]

11. Mansor, M., Sabri, M. F., Mansur, M., Ithnin, M., Magli, A. S., Husniyah, A. R., Mahdzan, N. S., Othman, M. A., Zakaria, R. H., Satar, N. M., & Janor, H. (2022). Analysing predictors of financial stress and family size among B40 households in Malaysia. International Journal of Environmental Research and Public Health, 19(19), 12490. https://doi.org/10.3390/ijerph191912490 [Google Scholar] [Crossref]

12. Neumark, D. (2000). Changes in employment stability and job security. National Bureau of Economic Research. https://doi.org/10.3386/w7472 [Google Scholar] [Crossref]

13. Omar, M. A., & Inaba, K. (2020). Does financial inclusion reduce poverty and income inequality? Journal of Economic Structures, 9(1). https://doi.org/10.1186/s40008-020-00214-4 [Google Scholar] [Crossref]

14. Park, C.-Y., & Mercado, R. (2018). Financial inclusion, poverty, and income inequality. The Singapore Economic Review, 63(1), 185–206. https://doi.org/10.1142/S0217590818410059 [Google Scholar] [Crossref]

15. Xu, S., Yang, Z., Tong, Z., & Li, Y. (2021). Can financial literacy advance poverty reduction? The Singapore Economic Review, 68(4), 1147–1182. https://doi.org/10.1142/S0217590821440057 [Google Scholar] [Crossref]

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