Impact Factors of Spatial Differentiation of Housing Prices in China's Cities

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/).

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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  -