The Real Estate Market Simulation Experiment about the Urban Housing Destocking Strategies

DOI

10.2991/icefs-17.2017.42How to use a DOI?

Keywords

Modeling and simulation, de-stocking, household average income, urban resident population

Abstract

To stabilize the urban housing market is one of the main contents of the China national economic work in 2016. This paper, taking the third-tier city Yichang as the research object, built a simulation model of the urban real estate market based on the urban characteristics and the historical data. With the aid of this simulation model, the paper analyzed the influence of the average housing price, the household per capita disposable income and the changes in the density of resident population in the city, to the housing inventory. Furthermore, quantitative tests and analysis were made, by ways of repeated experiments, on the mechanism of action and the strength of intervention from main policy factors on the market supply and demand, the long-term effects of the de-stocking policy tools of the city were predicted and corresponding policy suggestions were brought forward, which provided references for the local government to formulate and implement, by using the big data analysis tools, the market intervention policies applicable to local conditions.

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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TY  - CONF
AU  - Yanwen Xu
PY  - 2017/01
DA  - 2017/01
TI  - The Real Estate Market Simulation Experiment about the Urban Housing Destocking Strategies
BT  - Proceedings of the 2017 International Conference on Economics, Finance and Statistics (ICEFS 2017)
PB  - Atlantis Press
SP  - 344
EP  - 348
SN  - 2352-5428
UR  - https://doi.org/10.2991/icefs-17.2017.42
DO  - 10.2991/icefs-17.2017.42
ID  - Xu2017/01
ER  -