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The Effect of Real Estate Regulation Policy on House Price in Beijing City

机译:房地产监管政策对北京市房价的影响

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The objectives of this study were to investigate the effect of the real estate regulation policy on house price, and to provide some suggestions in formulating macro-control strategies of real estate industry and reducing house price in Beijing city. Firstly, based on the comprehensive analysis of various influencing factors of house price, the indicators of pressure (P), state(S) and response(R) were all selected. Secondly, the hierarchy analysis method was used to determine the weights of various indicators, then an evaluation system based on the PSR model was built up. Finally, it was applied to evaluating the effect of the real estate regulation policy on house price in Beijing City. The results indicated that house price in Beijing showed a regular fluctuation with the changing period of regulation policies. The house price showed an increasing trend during the encouraging policy period, while displayed a decreasing trend within contracting policy period, which suggests that the house price is very sensitive to the regulation policies. The effect of adjusting land use, tax and indemnificatory apartment on house price were different; the effect of regulating the financial credit policy on house price was obvious, while the effects of land use, tax and indemnificatory apartment policy were indistinct. We also found that the regulation policy has some hysteretic effect and the hysteretic period was about three months. We concluded that it was feasible to apply the system based on PSR model to evaluate the effect of real estate regulation policy on house price in Beijing City. 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.
机译:本研究的目标是调查房地产监管政策对房价的影响,并为制定房地产业宏观调控策略以及减少北京市房价的建议。首先,根据综合分析各种影响因素的房价,压力指标(P),州和响应(R)都被选中。其次,使用层次分析方法来确定各种指标的重量,然后建立了基于PSR模型的评估系统。最后,它应用于评估房地产监管政策对北京市房价的影响。结果表明,北京的房价与调节政策的变化定期出现了定期波动。房价在令人鼓舞的政策期间表现出越来越越来越大的趋势,同时在合同政策期内呈现下降趋势,这表明房价对规定政策非常敏感。调整土地使用,税务和赔偿公寓对房价的影响是不同的;规范金融信贷政策对房价的影响是显而易见的,而土地利用,税收和赔偿公寓政策的影响是模糊的。我们还发现,监管政策有一些滞后效应,滞后期大约三个月。我们得出结论,根据PSR模型应用该系统是可行的,以评估房地产监管政策对北京市房价的影响。为了快速控制高房价,我们需要改变调整方向,收紧土地使用,税务和赔偿公寓政策的规定程度。

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