Proceedings of the 7th International Conference on Education, Management, Information and Computer Science (ICEMC 2017)

Equilibrium Analysis on Total Supply and Demand for Urban Commercial Housing in China

Authors
Zhang Mengke
Corresponding Author
Zhang Mengke
Available Online June 2016.
DOI
10.2991/icemc-17.2017.111How to use a DOI?
Keywords
Urban commercial housing; Supply and demand; Equilibrium
Abstract

This paper analyzes the current situation of supply and demand imbalance of urban commercial housing market between 1998 and 2016 in China from the perspective of sold area and floor area completed. Then it constructs VAR model and predicts the supply and demand for urban commercial housing from 2017 to 2020. Finally, we can make conclusion that whether the growth rate is optimistic, neutral or pessimistic, China's urban housing market will be in short supply in the next four years, and its imbalance phenomenon will more obvious in 2020.

Copyright
© 2017, 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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Volume Title
Proceedings of the 7th International Conference on Education, Management, Information and Computer Science (ICEMC 2017)
Series
Advances in Computer Science Research
Publication Date
June 2016
ISBN
978-94-6252-372-2
ISSN
2352-538X
DOI
10.2991/icemc-17.2017.111How to use a DOI?
Copyright
© 2017, 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  - Zhang Mengke
PY  - 2016/06
DA  - 2016/06
TI  - Equilibrium Analysis on Total Supply and Demand for Urban Commercial Housing in China
BT  - Proceedings of the 7th International Conference on Education, Management, Information and Computer Science (ICEMC 2017)
PB  - Atlantis Press
SP  - 553
EP  - 559
SN  - 2352-538X
UR  - https://doi.org/10.2991/icemc-17.2017.111
DO  - 10.2991/icemc-17.2017.111
ID  - Mengke2016/06
ER  -