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资源科学  2012 

Application of PSR Model to the Effects of Real Estate Regulation Policy on House Price:A Case of Beijing
基于PSR模型的房地产调控政策对房价影响的研究—以北京市为例

Keywords: House price,Adjustment policies,Evaluation system,Pressure-State-Response Model
房价
,调控政策,评价系统,PSR模型

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Abstract:

This study is made to investigate the effect of the real estate regulation policy on house price and at the same time provide some suggestions for formulating resonable regulation policy and stabilizing house price in Beijing. Firstly, based on the comprehensive analysis of various influencing factors of house price, we selected the indicators of pressure, state and response respectively; Secondly, we used the hierarchy analysis method to determine the weights of various indicators, and then built up an evaluation system of the real estate regulation policy based on Pressure-State-Response (PSR) model; At last, we found that the evaluation system can reveal various factors that cause the increase of house price and reflect the interaction between control policy of real estate industry and house price. The house price tends to rise during policy-encouraging period while it tends to descend during policy-contracting period, so the house price is very sensitive to regulation policies. The effects of adjusting policies about land use, tax and indemnificatory apartment on house price are indistinct but the effect of regulating the financial credit policy on house price is obvious. In addition, the adjustment policy has some hysteretic effects and the hysteretic period is about three months. In order to quickly control the high house price, we need to change the adjusting directions and tighten the degree of regulation in land use, tax and indemnificatory apartment policies. This study has only explored the impact of policies on house price in Beijing, and in other cities such as Shanghai and Guangzhou or small cities, the impact needs to be further investigated.

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