The Impact of Real Estate Policies on the Housing Price in Major Cities in China

DOI

10.2991/febm-18.2018.86How to use a DOI?

Keywords

The housing price; Restrcition policy; Real estate market; Regression models

Abstract

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.

Copyright

© 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/).

Download article (PDF)

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  - 10.2991/febm-18.2018.86
ID  - Lyu2018/12
ER  -