The Real Estate Market Simulation Experiment about the Urban Housing Destocking Strategies
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.
Modeling and simulation de-stocking household average income urban resident population
XU YANWEN
School of Business,Jianghan University,Wuhan. Hubei,P.R China 430056
国际会议
ICEFS2017(International Conference on Economics, Finance and Statistics 2017) (2017经济、金融与统计国际会议)
香港
英文
344-348
2017-01-14（万方平台首次上网日期，不代表论文的发表时间）