The Influence of Macroeconomic Factors on Residential Property Prices in Malaysia Before and During COVID-19
DOI:
https://doi.org/10.21512/bbr.v14i1.8225Keywords:
macroeconomic factors, residential property price, Malaysia, COVID-19Abstract
The macroeconomic environment directly and significantly impacts a country’s economy. For example, residential property prices in Malaysia have steadily increased in recent years. It has become a significant issue during the COVID-19 pandemic since a home is one of the essential items for each living human being. The research identified a few macroeconomic factors, such as Gross Domestic Product (GDP), private consumption, government expenditure, and household saving which influenced Malaysian residential property prices. The research applied a regression model to analyse the data to encounter the uncertainty problem related to Beaver univariance analysis. All data were collected by the Department of Statistics Malaysia, the National Property Information Centre (NAPIC), The World Bank Data, and other data streams. Then, the research was tested using the time series method to predict and forecast the model. Based on the findings, the research shows that the distribution data for all variables are not normal. Overall, the variables are significant using the time series regression with the level of significance at 1%, 5%, and 10%. All variables tend to have a positive impact on residential property prices. The findings have significant policy consequences. Hence, it is critical to understand the pathways through which housing influences the economy to develop beneficial policies, as housing price declines are frequently cited as the primary constraint on household expenditure.
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References
Allen-Coghlan, M., McQuinn, K., & O’Toole, C. (2020). Assessing the impacts of COVID-19 on the Irish property market: An overview of the issues. ESRI Special Article, 3–22. https://doi.org/10.26504/qec2020aut_SA_Allen-Coghlan
Aliefendioğlu, Y., Tanrivermis, H., & Salami, M. A. (2022). House Price Index (HPI) and COVID-19 pandemic shocks: Evidence from Turkey and Kazakhstan. International Journal of Housing Markets and Analysis, 15(1), 108–125. https://doi.org/10.1108/IJHMA-10-2020-0126
Baharuddin, N. S., Mohd Isa, I. N., & Mohd Zahari, A. S. (2019). Housing price in Malaysia : The impact of macroeconomic indicators. Journal of Global Business and Social Entrepreneurship (GBSE), 5(16), 69–80.
Çebi Karaaslan, K., Oktay, E., & Alkan, Ö. (2022). Determinants of household saving behaviour in Turkey. Sosyoekonomi, 30(51), 71–90. https://doi.org/10.17233/sosyoekonomi.2022.01.04
Chong, T. T. L., Li, X., & Yip, C. (2021). The impact of COVID-19 on ASEAN. Economic and Political Studies, 9(2), 166–185. https://doi.org/10.1080/20954816.2020.1839166
Craighead, C. (2020). Remote work may trigger a 'suburban boom' in real estate. Retrieved from https://komonews.com/news/local/remote-work-may-trigger-a-suburban-boom-in-real-estate
Duja, B., & Supriyanto, H. (2019). The influence of GDP, interest rate, wage, inflation and exchange rate on residential property price in Indonesia. Planning Malaysia Journal, 17(9), 389–400.
Furnival, G. M., & Wilson, R. W. (2000). Regressions by leaps and bounds. Technometrics, 42(1), 69–79. https://doi.org/10.2307/1271435
Grindaker, M. H. (2017). House prices and household consumption (Staff memo). Norges Bank.
Hülagü, T., Kızılkaya, E., Özbekler, A. G., & Tunar, P. (2016). A hedonic house price index for Turkey (Working paper). Central Bank of the Republic of Türkiye.
Karagöz, K., & Özkubat, G. (2021). Impact of macroeconomic factors on housing prices: An analysis for Aegean Region. Journal of Yaşar University, 16(62), 867–889. https://doi.org/10.19168/jyasar.846027
Kayapinar Kaya, S., Ozdemir, Y., & Dal, M. (2020). Home-buying behaviour model of Generation Y in Turkey. International Journal of Housing Markets and Analysis, 13(5), 713–736. https://doi.org/10.1108/IJHMA-05-2019-0048
Kuang, W., Li, T., & Xiao, J. (2020). Housing prices and household savings: Evidence from urban China. Economic and Political Studies, 8(1), 96–114. https://doi.org/10.1080/20954816.2019.1699722
Li, H., Wang, Q., Deng, Z., Shi, W., & Wang, H. (2019). Local public expenditure, public service accessibility, and housing price in Shanghai, China. Urban Affairs Review, 55(1), 148–184. https://doi.org/10.1177/1078087417702504
Li, S., Whalley, J., & Zhao, X. (2013). Housing price and household savings rates: Evidence from China. Journal of Chinese Economic and Business Studies, 11(3), 197–217. https://doi.org/10.1080/14765284.2013.814461
Li, S. (2018). Study on the impact of local public expenditure on housing price—An empirical analysis based on provincial panel data. Modern Economy, 9(2), 247–262. https://doi.org/10.4236/me.2018.92016
Liu, M., & Ma, Q. P. (2021). Determinants of house prices in China: A panel-corrected regression approach. The Annals of Regional Science, 67, 47–72. https://doi.org/10.1007/s00168-020-01040-z
Low, M. B. (2001). The adolescence of entrepreneurship research: Specification of purpose. Entrepreneurship Theory and Practice, 25(4), 17–26. https://doi.org/10.1177/104225870102500402
Nanda, A., Xu, Y., & Zhang, F. (2021). How would the COVID-19 pandemic reshape retail real estate and high streets through acceleration of e-commerce and digitalization? Journal of Urban Management, 10(2), 110–124. https://doi.org/10.1016/j.jum.2021.04.001
Ozan, Y. M., & Filiz, Y. Ö. (2019). The dynamics of house prices and fiscal policy shocks in Turkey. Economic Annals, 64(220), 39–59. https://doi.org/10.2298/EKA1920039O
Öztürk, A., Kapusuz, Y. E., & Tanrıvermiş, H. (2018). The dynamics of housing affordability and housing demand analysis in Ankara. International Journal of Housing Markets and Analysis, 11(5), 828–851. https://doi.org/10.1108/IJHMA-08-2017-0079
Rui, L. (2015). Analysing the demand factors affecting housing price index in China (Master thesis). Universiti Utara Malaysia.
Van Beers, N., Bijlsma, M., & Mocking, R. (2015). House price shocks and household savings: Evidence from Dutch administrative data. Retrieved from https://www.cpb.nl/sites/default/files/publicaties/download/cpb-discussion-paper-299-house-price-shocks-and-household-savings.pdf
Vatansever, M., Demir, I., & Hepşen, A. (2020). Cluster and forecasting analysis of the residential market in Turkey: An autoregressive model-based fuzzy clustering approach. International Journal of Housing Markets and Analysis, 13(4), 583–600. https://doi.org/10.1108/IJHMA-11-2019-0110
Williams, D. (2020). Seattle-based brokerage redfin starts to see coronavirus impact on housing market. Retrieved from https://www.forbes.com/sites/dimawilliams/2020/03/05/seattle-based-brokerage-redfin-starts-to-see-coronavirus-impact-on-housing-market/?sh=6baf29c07440
Yeee, G. F., Sufahani, S. F., Abd Wahab, M. H., & Idrus, S. Z. S. (2021). Factors influence the housing price in Kuala Lumpur by using AHP. Journal of Physics: Conference Series, 1793, 1–10. https://doi.org/10.1088/1742-6596/1793/1/012027
Ying, Q. X., & Alias, A. (2022). Preliminary study on the critical success factors of shopping mall developments in Klang Valley, Malaysia. Journal of Building Performance, 13(1), 1–9.
Yuan, X., Shen, Y., & Zhou, H. (2020). House price and household consumption in China: Evidence from micro-level data. International Journal of Housing Markets and Analysis, 13(3), 475–501. https://doi.org/10.1108/IJHMA-10-2019-0103
Zandi, G., Supramaniam, M. A., Aslam, A., & Theng, L. K. (2015). The economical factors affecting residential property price: The case of Penang Island. International Journal of Economics and Finance, 7(12), 200–210. https://doi.org/10.5539/ijef.v7n12p200
Zhang, L. (2019). Do house prices matter for household consumption? (CPB discussion paper). CPB Netherlands Bureau for Economic Policy Analysis.
Zhao, Q., Li, G., Gu, X., & Lei, C. K. (2021). Inequality hikes, saving surges, and housing bubbles. International Review of Economics & Finance, 72(March), 349–363.
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