How Do Landscape Views and Storey Levels Affect Public Housing Prices Within the Community? Evidence from the Home Ownership Scheme Secondary Market in Hong Kong

Chenxin He and Lin Deng ()
Additional contact information
Chenxin He: Hong Kong University of Science and Technology
Lin Deng: Hong Kong University of Science and Technology

A chapter in Proceedings of the 26th International Symposium on Advancement of Construction Management and Real Estate, 2022, pp 605-618 from Springer

Abstract: Abstract The impacting factors of housing prices have received much attention over the decades. Most research focuses on the whole housing market by examining the spatial distribution of properties in a specific region. However, research on the property value of public housing within blocks and communities is limited. As Hong Kong has made great efforts to promote public housing development by introducing the Home Ownership Scheme (HOS), this study investigated the impact of landscape views and storey levels on public housing prices in Hong Kong. The hedonic pricing model is adopted to examine the effects of the landscape view factors on housing prices. Different submarkets (i.e., storey levels) of each community are analyzed to figure out the interaction between landscape view factors among different floor levels. Quantile regression is also introduced to examine the influence of the variables on properties under different price ranges. The findings show that the impacts of landscape view factors on housing price differ within various communities, submarkets, and housing price levels. Overall, the results provide empirical evidence about the purchasing preference of public housing purchasers in Hong Kong.

Keywords: Public housing; Landscape view effect; Storey; Hedonic pricing model; Quantile regression model (search for similar items in EconPapers)
Date: 2022
References: Add references at CitEc
Citations:

There are no downloads for this item, see the EconPapers FAQ for hints about obtaining it.

Related works:
This item may be available elsewhere in EconPapers: Search for items with the same title.

Export reference: BibTeX RIS (EndNote, ProCite, RefMan) HTML/Text

Persistent link: https://EconPapers.repec.org/RePEc:spr:lnopch:978-981-19-5256-2_48

Ordering information: This item can be ordered from
http://www.springer.com/9789811952562

DOI: 10.1007/978-981-19-5256-2_48

Access Statistics for this chapter

More chapters in Lecture Notes in Operations Research from Springer
Bibliographic data for series maintained by Sonal Shukla () and Springer Nature Abstracting and Indexing ().