More Than a Roof: Modelling the Housing Affordability Stress-Wellbeing Nexus among Malaysia's Middle-Income Group

Authors

Wilson Rangga Anthony Jiram

Faculty of Built Environment, Universiti Malaysia Sarawak, Kota Samarahan, Sarawak (Malaysia)

Nur Maisarah Mohd Salehhuddin

Faculty of Built Environment, Universiti Malaysia Sarawak, Kota Samarahan, Sarawak (Malaysia)

Azizah Ismail3, Nadzirah Jausus

Faculty of Built Environment and Surveying, Universiti Teknologi Malaysia, Johor Bahru, Johor (Malaysia)

Nadzirah Jausus

Faculty of Built Environment, Universiti Malaysia Sarawak, Kota Samarahan, Sarawak (Malaysia)

Mohd Afzan Mohamed

Faculty of Built Environment, Universiti Malaysia Sarawak, Kota Samarahan, Sarawak (Malaysia)

Article Information

DOI: 10.47772/IJRISS.2026.100800698

Subject Category: Housing affordability stress

Volume/Issue: 10/8 | Page No: 10334-10347

Publication Timeline

Submitted: 2026-08-26

Accepted: 2026-08-31

Published: 2026-09-16

Abstract

Housing affordability stress has become an increasingly important concern among middle-income households in Malaysia, particularly in rapidly urbanising areas where rising housing costs place pressure on household expenditure and wellbeing. This study examines the relationship between housing affordability stress and household wellbeing among the middle income (M40) group in Shah Alam, Malaysia. Housing affordability stress is conceptualised through multiple dimensions that extend beyond housing costs to include environmental factors, housing quality, economic factors, transportation, housing needs, safety and security, and housing affordability. A quantitative cross sectional research design was adopted, with data collected through a questionnaire survey involving 106 M40 respondents residing in Shah Alam. The data were analysed using descriptive statistics in SPSS and Partial Least Squares Structural Equation Modelling (PLS SEM) in SmartPLS to evaluate the measurement and structural models. The study establishes the relevant indicators of housing affordability stress and household wellbeing and examines the relationships between the identified dimensions and household wellbeing. The findings demonstrate that housing affordability stress should be understood as a multidimensional issue in which financial affordability interacts with housing, locational, transportation and environmental conditions in shaping household wellbeing. The study contributes to the housing affordability literature by providing empirical evidence from Shah Alam, an urban housing market identified as severely unaffordable and previously underrepresented in housing stress research. The findings provide useful insights for policymakers, housing authorities, developers and urban planners in formulating housing strategies that consider not only housing prices and household income but also the broader conditions affecting household wellbeing.

Keywords

Housing affordability stress; household wellbeing; middle income group; M40; PLS SEM

Downloads

References

1. Ahmed, S. K. (2024). How to choose a sampling technique and determine sample size for research: A simplified guide for researchers. SPIRE - Sciences Po Institutional REpository, 12, 100662. https://doi.org/10.1016/j.oor.2024.100662 [Google Scholar] [Crossref]

2. Azmi, N., & Bujang, A. A. (2021). THE GAP BETWEEN HOUSING AFFORDABILITY AND AFFORDABLE HOUSE: A CHALLENGE FOR POLICY MAKERS. PLANNING MALAYSIA, 19(17). https://doi.org/10.21837/pm.v19i17.1016 [Google Scholar] [Crossref]

3. Babadağlı, S. (2024). A Different Approach to Wages: Digital Primitive Economy Model. Open Journal of Social Sciences, 12(5), 381–449. https://doi.org/10.4236/jss.2024.125023 [Google Scholar] [Crossref]

4. Bagozzi, R. P. (2010). Structural equation models are modelling tools with many ambiguities: Comments acknowledging the need for caution and humility in their use. Journal of Consumer Psychology, 20(2), 208–214. https://doi.org/10.1016/j.jcps.2010.03.001 [Google Scholar] [Crossref]

5. Baker, E., Lester, L., Beer, A., & Bentley, R. (2019). An Australian geography of unhealthy housing. Geographical Research, 57(1), 40–51. https://doi.org/10.1111/1745-5871.12326 [Google Scholar] [Crossref]

6. Baker, E., Lester, L., Bentley, R., & Beer, A. (2016). Poor housing quality: Prevalence and health effects. Journal of Prevention & Intervention in the Community, 44(4), 219–232. https://doi.org/10.1080/10852352.2016.1197714 [Google Scholar] [Crossref]

7. Baltes, S., & Ralph, P. (2022). Sampling in software engineering research: a critical review and guidelines. Empirical Software Engineering, 27(4). https://doi.org/10.1007/s10664-021-10072-8 [Google Scholar] [Crossref]

8. Baqutaya, S., Ariffin, A. S., & Raji, F. (2015). Affordable Housing Policy: Issues and Challenges among Middle-Income Groups. International Journal of Social Science and Humanity, 6(6), 433–436. https://doi.org/10.7763/ijssh.2016.v6.686 [Google Scholar] [Crossref]

9. Baqutayan, S. M. S. (2014). The Affordable Housing Stress among Middle-Income Group. https://doi.org/10.9790/0837-19748290 [Google Scholar] [Crossref]

10. Baqutayan, S. M. S. (2015). The Impact of Housing Issue on the Well-being of Middle-Income Group. https://doi.org/10.5901/mjss.2015.v6n6s1p522 [Google Scholar] [Crossref]

11. Baqutayan, S. M. S. (2016). Is Affordable Housing an Issue? A Case Study of Housing Stress among Middle-Income Group In Malaysia. International and Multidisciplinary Journal of Social Sciences, 5(1), 26. https://doi.org/10.17583/rimcis.2016.1871 [Google Scholar] [Crossref]

12. Chan, A. P. C., & Adabre, M. A. (2019). Bridging the gap between sustainable housing and affordable housing: The required critical success criteria (CSC). Building and Environment, 151, 112–125. https://doi.org/10.1016/j.buildenv.2019.01.029 [Google Scholar] [Crossref]

13. Cheung, G. W., Cooper–Thomas, H. D., Lau, R. S., & Wang, L. C. (2023). Reporting reliability, convergent and discriminant validity with structural equation modeling: A review and best-practice recommendations. Asia Pacific Journal of Management, 41(2), 745–783. https://doi.org/10.1007/s10490-023-09871-y [Google Scholar] [Crossref]

14. Cornesse, C., Blom, A. G., Dutwin, D., Krosnick, J. A., Leeuw, E. D. de, Legleye, S., Pasek, J., Pennay, D., Phillips, B., Sakshaug, J. W., Struminskaya, B., & Wenz, A. (2019). A Review of Conceptual Approaches and Empirical Evidence on Probability and Nonprobability Sample Survey Research. Journal of Survey Statistics and Methodology, 8(1), 4–36. https://doi.org/10.1093/jssam/smz041 [Google Scholar] [Crossref]

15. Crowe, A., & Rowley, S. (2024). Measuring housing affordability: Scoping the real cost of housing. https://doi.org/10.31235/osf.io/hg4c3 [Google Scholar] [Crossref]

16. Fauzi, M. A. (2022). Partial least square structural equation modelling (PLS-SEM) in knowledge management studies: Knowledge sharing in virtual communities. Knowledge Management & E-Learning An International Journal, 103–124. https://doi.org/10.34105/j.kmel.2022.14.007 [Google Scholar] [Crossref]

17. Hair, J. F., Hult, G. T. M., Ringle, C. M., Sarstedt, M., Danks, N. P., & Ray, S. (2021). Partial Least Squares Structural Equation Modeling (PLS-SEM) Using R. In Classroom companion: business. Springer International Publishing. https://doi.org/10.1007/978-3-030-80519-7 [Google Scholar] [Crossref]

18. Hassan, M. A., Hamdan, H., Abdullah, J., & Abddullah, Y. A. (2017). Locatıon Housıng Affordabılıty as an Indıcator for Qualıty of Lıfe in Malaysıa. Environment-Behaviour Proceedings Journal, 2(6), 247. https://doi.org/10.21834/e-bpj.v2i6.940 [Google Scholar] [Crossref]

19. Hernández, D., Phillips, D., & Siegel, E. (2016). Exploring the Housing and Household Energy Pathways to Stress: A Mixed Methods Study. International Journal of Environmental Research and Public Health, 13(9), 916. https://doi.org/10.3390/ijerph13090916 [Google Scholar] [Crossref]

20. Ismail, A., Bujang, A. A., Jaafar, M. N., Jiram, W. R. A., & Wijayaningtyas, M. (2020). HOUSING AFFORDABILITY STRESS: A LITERATURE SURVEY AND SOME EVIDENCE FROM MALAYSIA. 18(1). http://jurnalkemanusiaan.utm.my/index.php/kemanusiaan/article/view/361 [Google Scholar] [Crossref]

21. Jager, J., Putnick, D. L., & Bornstein, M. H. (2017). II. MORE THAN JUST CONVENIENT: THE SCIENTIFIC MERITS OF HOMOGENEOUS CONVENIENCE SAMPLES. Monographs of the Society for Research in Child Development, 82(2), 13–30. https://doi.org/10.1111/mono.12296 [Google Scholar] [Crossref]

22. Kadir, J. M. A., Subramaniam, G., & Ghazali, I. (2020). Housing Affordability among Middle-Income Earners in Selangor, Malaysia. Environment-Behaviour Proceedings Journal, 5(15), 289–293. https://doi.org/10.21834/ebpj.v5i15.2514 [Google Scholar] [Crossref]

23. Kamal, E. M., Lai, K. S., & Yusof, N. (2020). THE LOW-MIDDLE INCOME HOUSING CHALLENGES IN MALAYSIA. PLANNING MALAYSIA, 18(11). https://doi.org/10.21837/pm.v18i11.713 [Google Scholar] [Crossref]

24. Li, J., & Liu, Z. (2018). Housing stress and mental health of migrant populations in urban China. Research Portal (King’s College London), 81, 172–179. https://doi.org/10.1016/j.cities.2018.04.006 [Google Scholar] [Crossref]

25. Ma, L., Kent, J., & Mulley, C. (2018). Transport disadvantage, social exclusion, and subjective well-being: The role of the neighborhood environment—evidence from Sydney, Australia. Journal of Transport and Land Use, 11(1). https://doi.org/10.5198/jtlu.2018.1008 [Google Scholar] [Crossref]

26. Mattingly, K., & Morrissey, J. (2014). Housing and transport expenditure: Socio-spatial indicators of affordability in Auckland. Cities, 38, 69–83. https://doi.org/10.1016/j.cities.2014.01.004 [Google Scholar] [Crossref]

27. McColl, E., Jacoby, A., Thomas, L., Soutter, J., Bamford, C., Steen, N., Thomas, R., Harvey, E., Garratt, A., & Bond, J. (2001). Design and use of questionnaires: a review of best practice applicable to surveys of health service staff and patients. Health Technology Assessment, 5(31), 1–256. https://doi.org/10.3310/hta5310 [Google Scholar] [Crossref]

28. Memon, M. A., Ting, H., Cheah, J., Ramayah, T., Chuah, F., & Cham, T. (2020). Sample Size for Survey Research: Review and Recommendations. Journal of Applied Structural Equation Modeling, 4(2). https://doi.org/10.47263/jasem.4(2)01 [Google Scholar] [Crossref]

29. Micallef, B. (2022). Minimum Income Required to Purchase a Property: Conceptual Framework and Application to Malta. International Journal of Economics and Finance, 14(10), 13. https://doi.org/10.5539/ijef.v14n10p13 [Google Scholar] [Crossref]

30. Mohit, M. A., Ibrahim, M. H., & Rashid, Y. R. (2009). Assessment of residential satisfaction in newly designed public low-cost housing in Kuala Lumpur, Malaysia. Habitat International, 34(1), 18–27. https://doi.org/10.1016/j.habitatint.2009.04.002 [Google Scholar] [Crossref]

31. Morrison, T. G., Morrison, M. A., & McCutcheon, J. (2017). Best Practice Recommendations for Using Structural Equation Modelling in Psychological Research. Psychology, 8(9), 1326–1341. https://doi.org/10.4236/psych.2017.89086 [Google Scholar] [Crossref]

32. Mulliner, E., Malys, N., & Malienė, V. (2015). Comparative analysis of MCDM methods for the assessment of sustainable housing affordability. https://doi.org/10.1016/j.omega.2015.05.013 [Google Scholar] [Crossref]

33. Mulliner, E., Smallbone, K., & Malienė, V. (2012). An assessment of sustainable housing affordability using a multiple criteria decision making method. https://doi.org/10.1016/j.omega.2012.05.002 [Google Scholar] [Crossref]

34. Newman, D. A. (2014). Missing Data. Organizational Research Methods, 17(4), 372–411. https://doi.org/10.1177/1094428114548590 [Google Scholar] [Crossref]

35. Pevalin, D. J., Reeves, A., Baker, E., & Bentley, R. (2017). The impact of persistent poor housing conditions on mental health: A longitudinal population-based study. Preventive Medicine, 105, 304–310. https://doi.org/10.1016/j.ypmed.2017.09.020 [Google Scholar] [Crossref]

36. Rahman, Md. M., Tabash, M. I., Salamzadeh, A., Abduli, S., & Rahaman, Md. S. (2022). Sampling Techniques (Probability) for Quantitative Social Science Researchers: A Conceptual Guidelines with Examples. SEEU Review, 17(1), 42–51. https://doi.org/10.2478/seeur-2022-0023 [Google Scholar] [Crossref]

37. Redmiles, E. M., Acar, Y., Fahl, S., & Mazurek, M. L. (2017). A Summary of Survey Methodology Best Practices for Security and Privacy Researchers. Digital Repository at the University of Maryland (University of Maryland College Park). https://doi.org/10.13016/m22k2w [Google Scholar] [Crossref]

38. Rindfleisch, A., Malter, A. J., Ganesan, S., & Moorman, C. (2008). Cross-Sectional versus Longitudinal Survey Research: Concepts, Findings, and Guidelines. Journal of Marketing Research, 45(3), 261–279. https://doi.org/10.1509/jmkr.45.3.261 [Google Scholar] [Crossref]

39. Ringle, C. M., Sarstedt, M., Mitchell, R., & Gudergan, S. P. (2018). Partial least squares structural equation modeling in HRM research. The International Journal of Human Resource Management, 31(12), 1617–1643. https://doi.org/10.1080/09585192.2017.1416655 [Google Scholar] [Crossref]

40. Rowley, J. (2014). Designing and using research questionnaires. Management Research Review, 37(3), 308–330. https://doi.org/10.1108/mrr-02-2013-0027 [Google Scholar] [Crossref]

41. Sadeghi, A. R., Ebadi, M., Shams, F., & Jangjoo, S. (2022). Human-built environment interactions: the relationship between subjective well-being and perceived neighborhood environment characteristics. Scientific Reports, 12(1), 21844. https://doi.org/10.1038/s41598-022-25414-9 [Google Scholar] [Crossref]

42. Swope, C. B., & Hernández, D. (2019). Housing as a determinant of health equity: A conceptual model. Social Science & Medicine, 243, 112571. https://doi.org/10.1016/j.socscimed.2019.112571 [Google Scholar] [Crossref]

43. Williams, A. J., Maguire, K., Morrissey, K., Taylor, T., & Wyatt, K. (2020). Social cohesion, mental wellbeing and health-related quality of life among a cohort of social housing residents in Cornwall: a cross sectional study. BMC Public Health, 20(1), 985. https://doi.org/10.1186/s12889-020-09078-6 [Google Scholar] [Crossref]

44. Wolf, E. J., Harrington, K., Clark, S. L., & Miller, M. W. (2013). Sample Size Requirements for Structural Equation Models. Educational and Psychological Measurement, 73(6), 913–934. https://doi.org/10.1177/0013164413495237 [Google Scholar] [Crossref]

45. Zainon, N., Mohd-Rahim, F. A., Sulaiman, S., Abd-Karim, S. B., & Hamzah, A. (2017). Factors Affecting the Demand of Affordable Housing among the Middle-Income Groups in Klang Valley Malaysia. Journal of Design and Built Environment, 1–10. https://doi.org/10.22452/jdbe.sp2017no1.1 [Google Scholar] [Crossref]

Metrics

Views & Downloads

Similar Articles