Please use this identifier to cite or link to this item: https://repository.cihe.edu.hk/jspui/handle/cihe/2811
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dc.contributor.authorLeung, Andrew Yee Taken_US
dc.contributor.otherChau, K. W.-
dc.contributor.otherYiu, C. Y.-
dc.contributor.otherWong, S. K.-
dc.date.accessioned2022-03-30T03:16:15Z-
dc.date.available2022-03-30T03:16:15Z-
dc.date.issued2003-
dc.identifier.urihttps://repository.cihe.edu.hk/jspui/handle/cihe/2811-
dc.description.abstractThere have been very few empirical studies investigating the value enhancement effects of refurbishment and most rely on cross-sectional data, which cannot show the before and after effects conclusively because of the heterogeneous nature of the properties. The problem of refurbishment is more complicated in buildings or housing estates with multiple-ownerships, since refurbishment is a collective decision, which can sometimes be difficult to achieve. This paper uses panel data in Hong Kong to estimate the impact of refurbishment on the market value of properties in a large housing estate. The results show that the refurbishment brought about approximately a 9% increase in the market value of the properties, which far exceeds the cost of refurbishment. It suggests that property owners of a housing estate will benefit if they can reach a collective decision on renovation.en_US
dc.language.isoenen_US
dc.publisherEmerald Publishingen_US
dc.relation.ispartofFacilitiesen_US
dc.titleEstimating the value enhancement effects of refurbishmenten_US
dc.typejournal articleen_US
dc.identifier.doi10.1108/02632770310460504-
dc.contributor.affiliationSchool of Computing and Information Sciencesen_US
dc.relation.issn1758-7131‎en_US
dc.description.volume21en_US
dc.description.issue1/2en_US
dc.description.startpage13en_US
dc.description.endpage19en_US
dc.cihe.affiliatedNo-
item.languageiso639-1en-
item.openairetypejournal article-
item.grantfulltextopen-
item.fulltextWith Fulltext-
item.openairecristypehttp://purl.org/coar/resource_type/c_6501-
item.cerifentitytypePublications-
crisitem.author.deptSchool of Computing and Information Sciences-
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