Analysis of Income and Expenditure of Households in Peninsular Malaysia

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Proceedings of the 8th International Conference on the Applications of Science and Mathematics ( EduTA 2022)

Abstract

Income and expenditure issues in Malaysia had been recently discussed by many researchers as these are the basis of every sustainable economy. Malaysians should understand their spending behaviour based on their revenue. The study is conducted to demonstrate the relationship between household income and expenditure as well as demographic characteristics in northern region, central region, southern region and east coast of Peninsular Malaysia by using appropriate statistical techniques. The dataset being employed was extracted from Household Expenditure Survey (HES) 2019 by the Department of Statistics Malaysia (DOSM). The study is focused on the households who lived in Kuala Lumpur, Selangor, Johor, Penang and Kelantan to represent each region in Peninsular Malaysia. The data analysis was conducted using Chi-square test, bivariate analysis, simple linear regression and multiple linear regression. The results showed that household expenditure is directly proportional to household income, and household revenue was significantly influenced by all demographic variables while household spending was affected by particular characteristics, such as gender, ethnicity, educational level and activity status. Kelantan households revealed the lowest average household income whereas Kuala Lumpur families possessed the highest household revenue. The findings of household income and expenditure distribution based on activity status and regions can contribute to all Malaysians especially fresh graduates, individuals who are going to settle down, NGOs and retirees. Future research can be conducted by utilising comprehensive data to study the distribution of household revenue and spending at the district areas in each state, along with data visualisation techniques.

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References

  1. The Guardian, Household income crucial in children's life prospects, says LSE report. The Guardian. (2017). Retrieved from https://www.theguardian.com/inequality/2017/jul/12/household-income-crucial-role-children-life-prospects-lse-report?CMP=share_btn_tw

  2. A. Ridzuan, M. Razak, Z. Ibrahim, A. Noor, E. Ahmed, Household consumption, domestic investment, government expenditure and economic growth: new evidence from Malaysia. J. Sci. Res. Rep. 3(17), 2373–2381 (2014)

    Article  Google Scholar 

  3. R. Cárdenas-Retamal, J. Dresdner-Cid, A. Ceballos-Concha, Impact assessment of salmon farming on income distribution in remote coastal areas: the Chilean case. Food Policy 101, 102078 (2021)

    Article  Google Scholar 

  4. C. Gradín, Race and income distribution: evidence from the USA, Brazil and South Africa. Rev. Dev. Econ. 18(1), 73–92 (2014)

    Article  Google Scholar 

  5. N. Jumadi, A.A. Bujang, H.A. Zarin, The relationship between demographic factors and housing affordability. Malays. J. Real Estate 5(1), 49–58 (2010)

    Google Scholar 

  6. H. Van Vu, The impact of education on household income in rural Vietnam. Int. J. Financ. Stud. 8(1) (2020)

    Google Scholar 

  7. S.A.A. Saadv, A. Adam, The relationship between household income and educational level. (south Darfur rural areas-Sudan) statistical study. Int. J. Adv. Stat. Probab. 4(1), 27 (2016)

    Google Scholar 

  8. F. Nusrat, Impact of household and demographic characteristics on poverty in Bangladesh: a logistic regression analysis. In: 2015 Awards for Excellence in Student Research and Creative Activity (2015)

    Google Scholar 

  9. B.N. Lazarus, A study of household income determinants and income inequality in the Tominian and Koutiala zones of Mali (2013)

    Google Scholar 

  10. T.Q. Tuyen, The impact of farmland loss on income distribution of households in Hanoi’s peri-urban areas Vietnam. Hitotsubashi J. Econ. 55(2), 189–206 (2014)

    Google Scholar 

  11. H.G.P. Jansen, J. Pender, A. Damon, W. Wielemaker, R. Schipper, Policies for sustainable development in the hillside areas of Honduras: a quantitative livelihoods approach. Agric. Econ. 34(2), 141–153 (2006)

    Article  Google Scholar 

  12. S. Biwei, H. Almas, Analysis of the determinants of income and income gap between Urban and Rural China. China Econ. Policy Rev. 02(01), 1350002 (2013)

    Article  Google Scholar 

  13. A. Nasir, N.H. Nik Mustapha, N.F. Kamil, Analysis of income and expenditure of households in the east coast of peninsular Malaysia. J. Glob. Bus. Econ. 2(1), 59–72 (2011)

    Google Scholar 

  14. NTA, Lower-income countries and the demographic dividend. NTA Bull. 5, 1–8 (2012)

    Google Scholar 

  15. T.Q. Tuyen, Socio-economic determinants of household income among ethnic minorities in the North-West Mountains Vietnam. Croatian Econ. Surv. 17(1), 139–159 (2015)

    MathSciNet  Google Scholar 

  16. F. Shamim, E. Ahmad, Understanding household consumption patterns in Pakistan. J. Retail. Consum. Serv. 14(2), 150–164 (2007)

    Article  Google Scholar 

  17. M. Ayyash, S.K. Sek, Decomposing inequality in household consumption expenditure in Malaysia. Economies 8(4), (2020)

    Google Scholar 

  18. G. Thangiah, M.A. Said, H.A. Majid, D. Reidpath, T.T. Su, Income inequality in quality of life among rural communities in Malaysia: a case for immediate policy consideration. Int. J. Environ. Res. Public Health 17(23), 1–19 (2020)

    Article  Google Scholar 

  19. L.D. Schroeder, D.L. Sjoquist, P.E. Stephan, Linear regression. In: Understanding regression analysis: an introductory guide, pp. 1–20. SAGE Publications Inc (2017)

    Google Scholar 

  20. D. Taluker, Assessing determinants of income of rural households in Bangladesh: a regression analysis. J. Appl. Econ. Bus. Res. 4(2), 80–106 (2014)

    Google Scholar 

  21. A. Strothmann, A. Marsh, S. Brown, Impact of household income on poverty levels

    Google Scholar 

  22. W. Lens, M. Lacante, M. Vansteenkiste, D. Herrera, Study persistence and academic achievement as a function of the type of competing tendencies. Eur. J. Psychol. Educ. 20(3), 275–287 (2005)

    Google Scholar 

  23. J. Frost, Choosing the correct type of regression analysis. Statistics By Jim (2017)

    Google Scholar 

  24. J. Frost, Ordinary least squares. Statistics By Jim (2020)

    Google Scholar 

  25. R. Bevans, An introduction to simple linear regression. Scribbr (2020)

    Google Scholar 

  26. W. Kenton, Multiple linear regression (MLR) definition. Investopedia (2021)

    Google Scholar 

  27. M.N.B.M. Arshad, Return to education by ethnicity: a case of Malaysia. Int. J. Econ. Manage. 10(1), 141–154 (2016)

    MathSciNet  Google Scholar 

  28. P. Cuadrado, O. Fulmore, E. Phillips, The influence of education levels on income inequality (2019)

    Google Scholar 

  29. Q. Talley, T. Wang, G. Zaski, Effect of education on wage earning (2018)

    Google Scholar 

  30. N.F.N. Najdi, N.F. Khairul Adlee, A.A. Adnan, N.I. Mustafa Khalid, I. Suzilah, Exploratory data analysis on household expenditure survey 1998 and 2014. J. Hum. Capital Dev. (JHCD) 12(1), 25–48 (2019)

    Google Scholar 

  31. N. Valenzuela-Levi, The rich and mobility: a new look into the impacts of income inequality on household transport expenditures. Transp. Policy 100, 161–171 (2021)

    Article  Google Scholar 

  32. H.L.S. Heng, A.T.K. Guan, Examining Malaysian household expenditure patterns on food-away-from-home. Asian J. Agricult. Dev., pp. 11–24 (2007)

    Google Scholar 

  33. A. Fatima, Z. Ahmad, Estimation of household expenditures on the basis of household characteristics by gender. Pak. J. Soc. Issues 4, 1–15 (2013)

    Google Scholar 

  34. G. Yan, Y. Peng, Y. Hao, M. Irfan, H. Wu, Household head’s educational level and household education expenditure in China: the mediating effect of social class identification. Int. J. Educ. Dev. 83, 102400 (2021)

    Article  Google Scholar 

  35. A.A. Molla, C. Chi, A.L.N. Mondaca, Predictors of high out-of-pocket healthcare expenditure: an analysis using Bangladesh household income and expenditure survey, 2010. BMC Health Serv. Res. 17(1), 1–8 (2017)

    Article  Google Scholar 

  36. Pew research center: household expenditures and income. In: The Pew Charitable Trusts (2016)

    Google Scholar 

Download references

Acknowledgements

The research work is supported by Ministry of Higher Education, Malaysia. Fundamental Research Grant Scheme (FRGS) grant (Vot K297), reference number FRGS/1/2020/STG06/UTHM/02/4.

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Correspondence to Sabariah Saharan .

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May, T.K., Saharan, S., Rusiman, M.S. (2023). Analysis of Income and Expenditure of Households in Peninsular Malaysia. In: Mustapha, A., Ibrahim, N., Basri, H., Rusiman, M.S., Zuhaib Haider Rizvi, S. (eds) Proceedings of the 8th International Conference on the Applications of Science and Mathematics. EduTA 2022. Springer Proceedings in Physics, vol 294. Springer, Singapore. https://doi.org/10.1007/978-981-99-2850-7_17

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