PURCHASING DECISION OF PROPERTY BUYERS: THE HOUSING QUALITY, FINANCIAL CAPABILITIES, AND GOVERNMENT POLICIES STUDIES
DOI:
https://doi.org/10.21837/pm.v19i17.986Keywords:
purchase decision, house buyers, environmental factors, financial factors, government factors, residential properties, inferential analysisAbstract
There are generally three types of house buyers called owner-occupiers, investors,and speculators. However, various factors that affect their decision to purchase a house. The research aims to identify the main factors that will affect the purchase decision of property buyers. Factors such as environmental factors, financial factors, governmental factors, subjective norms, and physical design factors will affect their decision to purchase. The research technique used is quantitative research. Descriptive analysis and inferential analysis to analyse the hypothesis. Based on the findings, the factors that showed to be statistically significant are the environmental, governmental, and subjective norm factors. Environmental factor has a positive influence towards the purchasing decision of dwelling while governmental and subjective norm factor has a negative influence onthe purchasing decision of residential properties. The regression model findings from this research show not only governmentimposed regulation could significantly affecting the purchasers’ decision, however, environmental and subjective norm factors play a major role in this matter. This information is beneficial to developers that have the intention to construct dwellings in the future. Developers can take into consideration all the significant factors before deciding on the location for their future development.Downloads
References
Abdullah, J., Rashid, K. A., Shah, M. I. B., Leh, O. L. H., Majid, R. A., & Ngah, R. (2020). Land use development and ridership at Kelana Jaya lrt line, Malaysia. Planning Malaysia Journal of the Malaysian Institute of Planners, 18(4), 220- 238.
Aini, A. M., Azriyati, W. N., Aziz, W. A., & Zulkifli, N. F. (2017). Middle Adults’ Housing Expectations for Old-age: A Study of Urban Area of Greater Kuala Lumpur. Journal of Design and Built Environment, 150-165.
Anuar, A. N. A., & Muhamadan, N. H. (2018). The demand of recreational facilities in neighbourhood parks: Visitors’ perspectives. Planning Malaysia Journal of the Malaysian Institute of Planners, 16(3), 197-207.
Atati, F.O. (2014). An investigation into the factors that influence housing finance in developing countries: A case study of Kenya. Bachelor of Degree of Real Estate. University of Nairobi, Kenya.
Babbie, Earl R. The Practice of Social Research. 12th ed. Belmont, CA: Wadsworth Cengage, (2010). Muijs, Daniel. Doing Quantitative Research in Education with SPSS. 2nd edition. London: SAGE Publications, 2010.
Bank Negara Malaysia (2015) Assessing demand-supply conditions in the Malaysian property market. Available From: http://www.bnm.gov.my/files/publication/ar/en/2015/cp01_002_box.pdf [Accessed: 10 May 2016]
Bank Negara Malaysia (2016a). Monthly Statistical Bulletin Jan 2016. Available at: http://www.bnm.gov.my/index.php?ch=en_publication_catalogue&pg=en_publication_msb&eId=box1&mth=1&yr=2016&lang=en[Accessed 20 June 2016]
Chang, Y. F., Choong, W. C., Looi, S. Y., Pan, W. Y., & Goh, H. L. (2019). Analysis of housing prices in Petaling district, Malaysia using functional relationship model. International Journal of Housing Markets and Analysis.
Choguill, C.L. (2008). Developing sustainable neighbourhoods. Habitat International, 32, 41-8.
Daly, J., Gronow, S., Jenkins, D., & Plimmer, F. (2003). Consumer behaviour in the valuation of residential property: A comparative study in the UK, Ireland and Australia. Property Management, 21(5), 295-314.
Fields, D. (2018). Constructing a new asset class: Property-led financial accumulation after the crisis. Economic Geography, 94(2), 118-140.
Geoffrey (2014). Real Property Gain Tax (RPGT) in Malaysia. Available at: http://www.nbc.com.my/blog/real-property-gain-tax-rpgt-in-malaysia/ [Accessed on 26 June 2016]
Hickman, R., Cao, M., Mella Lira, B., Fillone, A., & Bienvenido Biona, J. (2017). Understanding Capabilities, Functionings and Travel in High- and Low-Income Neighbourhoods in Manila. Social Inclusion, 5(4), 161.
Hong Leong Investment Bank Research (2016) Malaysia’s 2015 property market records decline in transaction value, volume. The Edge Property, Available From: http://www.theedgeproperty.com.my/tags/bank-negara [Accessed: 4 May 2016].
Humphrey, C., & Verdery, K. (Eds.). (2020). Property in question: value transformation in the global economy. Routledge.
Hurtubia, B., Gallay, O., & Bielaire, M. (2010). Attributes of household, locations and real estate for land use modeling. Sustain City Working Paper, 2.7. Lausanne: EPFL.
Jabareen, Y. (2005). Culture and Housing Preferences in a Developing City. Environment and Behavior, 37(1), 134146. doi: 10.1177/0013916504267640
Jacobsen, D. H. and Naug, B. (2004). What drive house prices? Economic Bulletin, 4(4), 229- 235
Kam, K. J., Chuah, S. Y., Lim, T. S., & Lin Ang, F. (2016). Modelling of property market: The structural and locational attributes towards Malaysian properties. Pacific Rim Property Research Journal, 22(3), 203-216.
Kam, K. J., Lim, A. S. H., Al-Obaidi, K. M., & Lim, T. S. (2018). Evaluating housing needs and preferences of generation Y in Malaysia. Planning Practice & Research, 33(2), 172-185.
Karsten, L. (2007). Housing as a way of life: Towards an understanding of middle-class families’ preference for an urban residential location. Housing Studies, 22(1), 8398.
Khalid, H. A., Ling, O. H. L., Jalil, N. I. R., & Marzukhi, M. A. (2020). An analysis of the needs of elderly-friendly neighbourhood in Malaysia: Perspectives of older and younger groups. Planning Malaysia Journal of the Malaysian Institute of Planners, 18(4), 144-157.
Kohler, M. J. (2013). Why you should be investing your money in real estate. Entrepreneur. Available from: http://www.entrepreneur.com/article/228506. [Accessed on 10 September 2016]
Livette, M. (2007). Influencer and other “buying” roles in the decision-making process of retirement housing purchasers, Property management, 25(3), 242-256.
Litman, T. (2012). Victoria transport policy Institute. Home Location Preferences and Their Implications for Smart Growth. Available from: www.vtpi.org [Accessed on 12 September 2016].
Neuman, Lawrence. W. (2010). Social Research Methods, Qualitative and 219 Quantitative Approaches (7th ed.). USA: Pearson Education, Inc.
Pallant, J. 2002. SPSS SURVIVAL MANUAL-A step by step guide to data analysis using SPSS for Windows (Version 12). Allen Unwin, New South Wales. p 121
Paramesran, R. (2013). The role of the banking system, Housing the Nation: Policies, Issues and Prospects (p. 137), Malaysia, Cagamas
Pembina Institute (2013). Priced Out: Understanding the factors affecting home prices in the GTA, Canada, Royal Bank of Canada
Rahadi, R. A., Sudarso, K. W., Deddy, P. K. & Indra, B.S. (2013). Attributes Influencing Housing Product Value and Price in Jakarta Metropolitan Region. Procedia -Social and Behavioural Sciences, 101(0), 368-378.
Real Estate and Housing Developers Association (REHDA) (2014). Property outlook 2014: Interview with REHDA president. REHDA, Selangor.
Sew, G. S., & Chin, T. Y. (2000). Hillside development - Planning, Design, Constrution and Maintenace consideration. IEM Seminar on Geotechnical Engineering, Penang, 1-22
Shinde, N., & Gawande, K. (2018). Survey on predicting property price. In 2018 International Conference on Automation and Computational Engineering (ICACE) (pp. 1-7). IEEE.
Tan, T. H. (2012). Meeting first-time buyers’ housing needs and preferences in greater Kuala Lumpur. Cities, 29(6), 389-396.
Teoh, W.L. (2011). Factors affecting the preferences of residential housing in gated community.
The Edge Property (2016). Half of overhang units are homes priced at RM300,000 and below. Available at: http://www.theedgeproperty.com.my/content/half-overhang-units-are-homes-priced-rm300000-and-below. [Accessed on 15 September 2016]
Tobi, S., Fathi, M., & Amaratunga, D. (2018). Ageing in place framework as reference guide for housing in Malaysia: Landed property. Planning Malaysia Journal of the Malaysian Institute of Planners, 16(1), 130-143.
Tonglet, M., Phillips, P. S., & Read, A. D. (2004). Using the Theory of Planned Behaviour to investigate the determinants of recycling behaviour: a case study from Brixworth.
Zainuddin, N. (2015). Overview of Real Property Gain Tax in Malaysia. The Sixth IMF-Japan High Level Tax Conference for Asian Countries
Zainun, N.Y. and Ismail, S.S. (2015). ‘Low Cost Housing Demand Factors In Malaysia’. Applied Mechanic and Materials, 773, 1037-1041.
Zainun, N.Y., Rahman, I.A., & Eftekhari, M. (2010). Forcasting low cost housing demand in Johor Bharu, Malaysia using Artificial Neural Networks (ANN). Journal of Mathematic Research. 2(1). P. 16-19
Zandi1, G., Mahadevan, A., Supramaniam, L., 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).
Zikmund, William G., Babin, Barry J., Carr, Jon C., & Griffin, Mitch. (2010). Business Research methods (8th ed.). USA: South-Western, CenGage Learni
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