Influence of Real Estate Regulation Policies on Housing Transaction Price: Taking 29 Cities in China as Examples

被引：0
|
作者：
He Y. [1 ]
Guo Y. [1 ]
Guo H. [1 ,2 ]
Feng C. [1 ]
机构：
[1] College of Urban and Environmental Sciences, Peking University, Beijing
[2] Beike Research Institute, Beijing
来源：
Beijing Daxue Xuebao (Ziran Kexue Ban)/Acta Scientiarum Naturalium Universitatis Pekinensis | 2022年 / 58卷 / 02期
关键词：
Commercial housing price; Fixed effect panel model; Real estate regulation policy;
D O I：
10.13209/j.0479-8023.2021.123
中图分类号：
学科分类号：
摘要：
This paper studies the effects of four kinds of real estate regulation policies, including home buying restrictions (HBR), home loaning restrictions (HLR), home price restrictions (HPR) and home saled restrictions (HSR), on housing prices in 29 large cities in China from February 2016 to May 2018. The policy intensity index was constructed by policy scoring method, and a fixed effect panel model was constructed. The effect of policy regulation was analyzed by focusing on the first-tier and second-tier cities of different sizes, and the effect of policy regulation was analyzed by transmission theory. The results show that the HBR and HLR can play a regulatory effect on the first-tier and second-tier cities. The HPR and HSR have certain regulation effect on the first-tier cities, but the effect on the second-tier cities is not obvious. This paper argues that government should persist in carrying out the HBR, and release policy according to the city, accurately grasp the law of the timeliness of the policy. © 2022 Peking University.
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页码：317 / 325
页数：8
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