Factors Affecting the Price of Commercial Housing in Haikou Housing

Ji-Yan Wu, Wan-Yin Zheng and Xu-You Zeng

Applied Economics and Finance, 2018, vol. 5, issue 5, 59-66

Abstract: 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.

Keywords: gray correlation degree; factor analysis; residential property price (search for similar items in EconPapers)
Date: 2018
References: View complete reference list from CitEc
Citations:

Downloads: (external link)
http://redfame.com/journal/index.php/aef/article/view/3491/3701 (application/pdf)
http://redfame.com/journal/index.php/aef/article/view/3491 (text/html)

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:rfa:aefjnl:v:5:y:2018:i:5:p:59-66

Access Statistics for this article

More articles in Applied Economics and Finance from Redfame publishing Contact information at EDIRC.
Bibliographic data for series maintained by Redfame publishing ().