Ramli, Fazilah (2022) Supply prediction model for high-cost multi-storey houses. Doctoral thesis, Universiti Tun Hussein Onn Malaysia.

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Abstract

The high margin perception factor has been the cause of the development of housing projects that initially aimed to meet demand and eventually turned into the development of high-cost houses. Developing condominiums and apartments that cost more than RM300,000 excessively in Johor, Selangor and Pulau Pinang accounted for the largest number of overhang units. Therefore, this study was conducted to develop a supply predicting model for high-cost multi-story houses using micro and macro factors. A descriptive analysis was performed to identify the existence of unsold trends that occurred from 2010 to 2020 to ensure the appropriateness of the study conducted. Next, micro factors are analysed using the correlation method while macro factors are analysed using the regression method. For micro factors, a total of 61 developers opined that the factors of the developer's financial lending facilities, location, population, housing development approval by local authorities and cost of building construction influence the developer's action to oversupply the high-cost multi-storey houses. As for the macro factors, this study found that the GDP affects on houses priced between RM300,000 to RM400,000, RM600,000 to RM700,000 and RM800,000 to RM900,000. Next, the unemployment rate affects houses priced between RM300,000 to RM400,000 while the inflation rate affects houses priced between RM400,000 to RM500,000, RM700,000 to RM800,000 and above RM1,000,000. Finally, the validity test conducted on eight experts in the construction industry showed that they agree with the formation of a housing supply predicting model that uses micro and macro factors. The findings of this research are expected to be used by construction companies and public institutions that hold unsold units to improve their sales performance, not only in Malaysia but also in other Asian regions that show similar housing development patterns

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