Impact Factors of Spatial Differentiation of Housing Prices in China's Cities
Authors
Yang Wang, Lixia Jin, Hong'ou Zhang, Changjian Wang, Kangmin Wu
Corresponding Author
Yang Wang
Available Online November 2016.
- DOI
- 10.2991/febm-16.2016.18How to use a DOI?
- Keywords
- house; housing prices; spatial differentiation; gray relational degree; impact factors; China
- Abstract
In order to explore the main driving factors of housing prices in China, we used the data of housing prices in China's 116 cities, and analyzed the impact of 3 factors including housing demand, supply and cost on housing prices based on the method of Gray Relational Degree. The results show that: The land price has the most evident driving effect on the housing price differentiations in China's cities; the driving effects from population aggregation and residential land supply are also very remarkable; the supply-demand theory and cost theory could be adopted simultaneously in explaining the housing price differentiation phenomenon in China.
- Copyright
- © 2016, the Authors. Published by Atlantis Press.
- Open Access
- This is an open access article distributed under the CC BY-NC license (http://creativecommons.org/licenses/by-nc/4.0/).
Cite this article
TY - CONF AU - Yang Wang AU - Lixia Jin AU - Hong'ou Zhang AU - Changjian Wang AU - Kangmin Wu PY - 2016/11 DA - 2016/11 TI - Impact Factors of Spatial Differentiation of Housing Prices in China's Cities BT - Proceedings of the First International Conference Economic and Business Management 2016 PB - Atlantis Press SP - 114 EP - 119 SN - 2352-5428 UR - https://doi.org/10.2991/febm-16.2016.18 DO - 10.2991/febm-16.2016.18 ID - Wang2016/11 ER -