Factors Affecting the Price of Commercial Housing in Haikou Housing
Applied Economics and Finance
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Title |
Factors Affecting the Price of Commercial Housing in Haikou Housing
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Creator |
Wu, Ji-Yan
Zheng, Wan-Yin Zeng, Xu-You |
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Description |
This paper uses the grey correlation degree and factor analysis method to carry out empirical research on the main influencing factors of residential price extraction in Haikou City according to the data of Haikou City from 2013 to 2018 as a sample. The research results show that the factors affecting housing prices can be divided into two aspects. From the economic level, the impact of population, regional GDP and per capita disposable income are positive effects. They promote economic growth to increase housing prices. From the perspective of expenditure levels, expected housing prices, investment costs, and consumer price index will affect housing prices by influencing consumers and investors spending decisions. On the whole, the key factors affecting house prices are mainly policies, population movements, economic growth, and total investment costs.
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Publisher |
Redfame Publishing
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Contributor |
—
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Date |
2018-08-21
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Type |
info:eu-repo/semantics/article
info:eu-repo/semantics/publishedVersion Peer-reviewed Article |
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Format |
application/pdf
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Identifier |
http://redfame.com/journal/index.php/aef/article/view/3491
10.11114/aef.v5i5.3491 |
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Source |
Applied Economics and Finance; Vol 5, No 5 (2018); 59-66
2332-7308 2332-7294 |
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Language |
eng
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Relation |
http://redfame.com/journal/index.php/aef/article/view/3491/3701
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Rights |
Copyright (c) 2018 Applied Economics and Finance
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