The Impact of Real Estate Policies on the Housing Price in Major Cities in China
- https://doi.org/10.2991/febm-18.2018.86How to use a DOI?
- The housing price; Restrcition policy; Real estate market; Regression models
This paper used the panel data from August 2015 to March 2018 to analyze the effect of the policies - such as purchase restriction policy, loan restriction policy, sales restriction policy, price restriction policy and rent and purchase system - in the past two years on the housing price in major cities of China by establishing regression models. We found purchase restriction policy and price restriction policy can effectively restrain the growth of the housing price in the short term, but in the long run, they will lead to the retaliatory growth on price. Sales restriction policy has a significant impact on the housing price in the long run and it can lower the price. Rent and purchase system makes a limited effect on the price. All the policies should be combined together and be reasonable so as to stabilize the real estate market.
- © 2018, 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 - Wenjun Lyu AU - Chunyi Bu PY - 2018/12 DA - 2018/12 TI - The Impact of Real Estate Policies on the Housing Price in Major Cities in China BT - Proceedings of the Third International Conference on Economic and Business Management (FEBM 2018) PB - Atlantis Press SP - 378 EP - 381 SN - 2352-5428 UR - https://doi.org/10.2991/febm-18.2018.86 DO - https://doi.org/10.2991/febm-18.2018.86 ID - Lyu2018/12 ER -