Please use this identifier to cite or link to this item: https://scholarbank.nus.edu.sg/handle/10635/221186
DC FieldValue
dc.titleWATERFRONT PRICE PREMIUMS: PUBLIC VS PRIVATE RESIDENTIAL MARKETS
dc.contributor.authorLIM EN XIAN JOAN
dc.date.accessioned2016-05-06T02:26:31Z
dc.date.accessioned2022-04-22T17:30:35Z
dc.date.available2019-09-26T14:13:59Z
dc.date.available2022-04-22T17:30:35Z
dc.date.issued2016-05-06
dc.identifier.citationLIM EN XIAN JOAN (2016-05-06). WATERFRONT PRICE PREMIUMS: PUBLIC VS PRIVATE RESIDENTIAL MARKETS. ScholarBank@NUS Repository.
dc.identifier.urihttps://scholarbank.nus.edu.sg/handle/10635/221186
dc.description.abstractWith vast opportunities for waterfront residential development which Singapore offers, it is pertinent to study the impact views of waterbodies on residential property prices. More specifically, greater emphasis was placed on residential developments along inland waterbodies such as canals and rivers. In addition, this study also examines both public and private waterfront residential in detail to account for the distinct nature of both markets. The analysis was done using quantitative methods such as hedonic regression models and comparison method. Thereafter, interviews were also conducted with industry professionals to seek further insights where information was unavailable on public new flats. The findings revealed waterfront views to have a positive impact on both new and resale flats in the public residential market. Using the hedonic regression model, public resale flats had a 2.3% premium per square metre (psm) for flats with a view of the waterbody while a simple comparison model showed price premiums for new public flats to range between 1.82% and 9.37%. However, interview respondents highlighted that price premiums in public flats could be influenced by neighbourhood features and factors such as accessibility to transport nodes. Similarly, private resale residential units exhibit a positive impact on prices for waterfront units compared to non-waterfront units. The regression model illustrated units with a view of the waterbody to have 4% premium psm. The type of waterbody was also a more significant factor in influencing the price premiums observed in the model. With regards to a higher price premium observed for the private resale market, interviewees cited reasons such as the developer’s original intent when developing such waterfront residential developments.
dc.language.isoen
dc.sourcehttps://lib.sde.nus.edu.sg/dspace/handle/sde/3401
dc.subjectReal Estate
dc.subjectRE
dc.subjectYu Shi Ming
dc.subject2015/2016 RE
dc.typeDissertation
dc.contributor.departmentREAL ESTATE
dc.contributor.supervisorYU SHI MING
dc.description.degreeBachelor's
dc.description.degreeconferredBACHELOR OF SCIENCE (REAL ESTATE)
dc.embargo.terms2016-06-01
Appears in Collections:Bachelor's Theses

Show simple item record
Files in This Item:
File Description SizeFormatAccess SettingsVersion 
Joan Lim En Xian 2015-2016.pdf2.34 MBAdobe PDF

RESTRICTED

NoneLog In

Page view(s)

14
checked on Mar 16, 2023

Download(s)

9
checked on Mar 16, 2023

Google ScholarTM

Check


Items in DSpace are protected by copyright, with all rights reserved, unless otherwise indicated.