Abstract
This study identifies the spatial pattern of housing price changes and their determinants in Seoul and its neighbouring new towns. The results of a cluster analysis show that the spatial pattern of housing price change rates is nor correlated with housing prices. It is found that housing price change rates vary with the Chonse price index and money supply, building permit area, stock price index, and yield on 3 year corporate bonds. It is also shown that the more apartment units that are built in a region, the lower the housing price change rate.
| Original language | English |
|---|---|
| Pages (from-to) | 221-232 |
| Number of pages | 12 |
| Journal | Australian Geographer |
| Volume | 36 |
| Issue number | 2 |
| DOIs | |
| Publication status | Published - 2005 Jul 1 |
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All Science Journal Classification (ASJC) codes
- Geography, Planning and Development
- Earth-Surface Processes
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Segmentation of the housing market and its determinants : Seoul and its neighbouring new towns in Korea. / Kim, Kabsung; Park, Juyoung.
In: Australian Geographer, Vol. 36, No. 2, 01.07.2005, p. 221-232.Research output: Contribution to journal › Article
TY - JOUR
T1 - Segmentation of the housing market and its determinants
T2 - Seoul and its neighbouring new towns in Korea
AU - Kim, Kabsung
AU - Park, Juyoung
PY - 2005/7/1
Y1 - 2005/7/1
N2 - This study identifies the spatial pattern of housing price changes and their determinants in Seoul and its neighbouring new towns. The results of a cluster analysis show that the spatial pattern of housing price change rates is nor correlated with housing prices. It is found that housing price change rates vary with the Chonse price index and money supply, building permit area, stock price index, and yield on 3 year corporate bonds. It is also shown that the more apartment units that are built in a region, the lower the housing price change rate.
AB - This study identifies the spatial pattern of housing price changes and their determinants in Seoul and its neighbouring new towns. The results of a cluster analysis show that the spatial pattern of housing price change rates is nor correlated with housing prices. It is found that housing price change rates vary with the Chonse price index and money supply, building permit area, stock price index, and yield on 3 year corporate bonds. It is also shown that the more apartment units that are built in a region, the lower the housing price change rate.
UR - http://www.scopus.com/inward/record.url?scp=25444509250&partnerID=8YFLogxK
UR - http://www.scopus.com/inward/citedby.url?scp=25444509250&partnerID=8YFLogxK
U2 - 10.1080/00049180500150019
DO - 10.1080/00049180500150019
M3 - Article
AN - SCOPUS:25444509250
VL - 36
SP - 221
EP - 232
JO - Australian Geographer
JF - Australian Geographer
SN - 0004-9182
IS - 2
ER -