Proceedings of the 2018 3rd International Conference on Education, E-learning and Management Technology (EEMT 2018)

Research on the Influence of Regulatory Policies of Shanghai Real Estate on the House Price—Based on the Empirical Study of VAR Model

Authors
Longkai Xiao, Xiaoping Zhou
Corresponding Author
Longkai Xiao
Available Online December 2018.
DOI
https://doi.org/10.2991/iceemt-18.2018.27How to use a DOI?
Keywords
House price; regulatory policies; VAR model; effectiveness of policies
Abstract
Research Contents: This paper analyzes the influence of regulatory policies of Shanghai real estate on the price of new houses in Shanghai from June of 2013 to December of 2017 by building VAR model and evaluates the effectiveness of regulatory policies. The policy of property purchase restrictions inhibits the rapid increase of house price in a short time, but does so little in a long time. Credit policy can affect house price in a timely and rapid manner. Monetary policy can have a far-reaching influence. House supply in the future and the change of current house price index have some bearing on psychological expectation of consumers. Shanghai municipal government should attach more importance to the establishment of long-term mechanism and guarantee the effectiveness of policies when regulating real estate market and inhibiting the rapid increase of house price.
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This is an open access article distributed under the CC BY-NC license.

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Proceedings
2018 3rd International Conference on Education, E-learning and Management Technology (EEMT 2018)
Part of series
Advances in Social Science, Education and Humanities Research
Publication Date
December 2018
ISBN
978-94-6252-624-2
ISSN
2352-5398
DOI
https://doi.org/10.2991/iceemt-18.2018.27How to use a DOI?
Open Access
This is an open access article distributed under the CC BY-NC license.

Cite this article

TY  - CONF
AU  - Longkai Xiao
AU  - Xiaoping Zhou
PY  - 2018/12
DA  - 2018/12
TI  - Research on the Influence of Regulatory Policies of Shanghai Real Estate on the House Price—Based on the Empirical Study of VAR Model
BT  - 2018 3rd International Conference on Education, E-learning and Management Technology (EEMT 2018)
PB  - Atlantis Press
SP  - 140
EP  - 145
SN  - 2352-5398
UR  - https://doi.org/10.2991/iceemt-18.2018.27
DO  - https://doi.org/10.2991/iceemt-18.2018.27
ID  - Xiao2018/12
ER  -