Measuring the Spatial and Temporal Diffusion of Urban House Prices---Taking the Case of 18 Cities in East China
He Wang, Chenyi Ma
Available Online February 2017.
- https://doi.org/10.2991/emcm-16.2017.206How to use a DOI?
- House price; Spatial and temporal diffusion; Spatial VECM
- Based on spatial vector auto-regression model, this paper analyses the spatial and temporal diffusion of urban house prices in East China and examines the impact of price fluctuation of Shanghai and Hangzhou. The results shows that assuming Shanghai as the price diffusion center city, more than half cities are affected significantly by the neighbor lag. Current price changes in Shanghai and Hangzhou have the biggest influence scope to other cities, while the house price in Hangzhou is the most difficult to be affected in the long-run. Compared with Shanghai, Hangzhou has greater and longer impact on other cities. It is concluded that the spatial and temporal diffusion exists in East China. Transportation accessibility, economic ties, information dissemination could explain house price diffusion in East China.
- Open Access
- This is an open access article distributed under the CC BY-NC license.
Cite this article
TY - CONF AU - He Wang AU - Chenyi Ma PY - 2017/02 DA - 2017/02 TI - Measuring the Spatial and Temporal Diffusion of Urban House Prices---Taking the Case of 18 Cities in East China BT - 2016 7th International Conference on Education, Management, Computer and Medicine (EMCM 2016) PB - Atlantis Press SN - 2352-538X UR - https://doi.org/10.2991/emcm-16.2017.206 DO - https://doi.org/10.2991/emcm-16.2017.206 ID - Wang2017/02 ER -