| Issue |
MATEC Web Conf.
Volume 266, 2019
International Conference on Built Environment and Engineering 2018 - “Enhancing Construction Industry Through IR4.0” (IConBEE2018)
|
|
|---|---|---|
| Article Number | 06015 | |
| Number of page(s) | 5 | |
| Section | Architecture and Urban Planning (AUP) | |
| DOI | https://doi.org/10.1051/matecconf/201926606015 | |
| Published online | 20 February 2019 | |
Price Prediction Model of Demand and Supply in the Housing Market
1 Construction Management Department, Faculty of Technology Management and Business, University of Tun Hussein Onn Malaysia, 86400, Parit Raja, Batu Pahat, Johor, Malaysia
2 Management and Technology Department, Faculty of Technology Management and Business, University of Tun Hussein Onn Malaysia, 86400, Parit Raja, Batu Pahat, Johor, Malaysia
* Corresponding author: fazilahramli92@yahoo.com.my
Over recent years, the imbalance between housing demand and supply, particularly in the high-cost housing segment, led to the rapid increase in the house prices. This paper has applied the standard theory of consumer demand and supply supplemented using content analysis method to explain the trend of housing demand and supply of housing market in Malaysia. Sampling in the quantitative content analysis is carried out to achieve the objective. Property Market Status Report in the NAPIC website provide a series data for total housing demand and supply for any house type of terrace, detached, cluster and townhouse in the price range between RM50,000 to RM300,000. All data provided cover from the first quarter until the fourth quarter across the year 2006 to 2015 specifically in Peninsular Malaysia only. Each level of the house price has a different equilibrium price so that developers can use it as an indicator based on the housing type. This research will promote ways to achieve the sustainabiliy in construction output overall so that the scholars can improve the equilibrium price model proposed in order to make the Malaysian housing become an affordable.
© The Authors, published by EDP Sciences, 2019
This is an Open Access article distributed under the terms of the Creative Commons Attribution License 4.0, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.
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