主管:中国科学院
主办:中国优选法统筹法与经济数学研究会
   中国科学院科技战略咨询研究院

中国管理科学 ›› 2021, Vol. 29 ›› Issue (8): 35-43.doi: 10.16381/j.cnki.issn1003-207x.2019.1865

• 论文 • 上一篇    下一篇

中国房地产限售政策对房价的影响研究——兼论限售和限购的政策组合效应

安辉, 何萱, 邹千邈   

  1. 大连理工大学经济管理学院, 辽宁 大连 116024
  • 收稿日期:2019-11-17 修回日期:2020-02-04 出版日期:2021-08-20 发布日期:2021-08-13
  • 通讯作者: 安辉(1958-),女(汉族),辽宁大连人,大连理工大学经济管理学院,教授,博士生导师,研究方向:国际金融、房地产、金融风险,E-mail:anhui@dlut.edu.cn. E-mail:anhui@dlut.edu.cn
  • 基金资助:
    辽宁省兴辽英才计划哲学社会科学领军人才项目(XLYC1804005);国家社科基金资助重大项目(18ZDA095)

The Impact of China's House-Sale Restrictions and Its Joint Effect with Housing-Purchase Restriction on Housing Price

AN Hui, HE Xuan, ZOU Qian-miao   

  1. School of Economics and Management, Dalian University of Technology, Dalian 116024, China
  • Received:2019-11-17 Revised:2020-02-04 Online:2021-08-20 Published:2021-08-13

摘要: 自2017年3月以来,中国多个城市相继出台了房地产限售政策。本文基于2017年1月至2018年5月的全国城市月度数据,针对限售政策分期出台的实际情况,构建更具适用性的多期双重差分模型(Multi-Stage Difference-in-Difference),分别从国家和城市层面实证分析了限售政策平抑房价的效果及其异质性。在此基础上,又对限售政策和限购政策的联合效应进行研究。研究结果表明:房地产限售政策能显著平抑房价且效果具有异质性。具体而言,在国家层面,限售政策对房价的平抑效果二手房强于新房、小户型强于中大户型;在城市层面,其平抑房价的效果一线城市强于二三线城市、中西部城市强于东部城市。此外,双限政策的联合效果优于单一限售政策。以上研究对进一步发掘限售政策的独特价值具有现实意义。

关键词: 房地产限售政策, 房价, 多期双重差分模型, 限购政策, 联合效果

Abstract: Since 2002, several policies have been successively enforced by the Chinese government to curb the soaring housing price. Those policies include not only conventional monetary, tax and credit policies, but also administrative interventions with Chinese characteristics: the housing-purchase restriction (HPR) policy since 2010 and the house-sale restrictions (HSR) policy since 2017. The HSR policy, which is currently rarely implemented worldwide, inhibits the speculative transactions in the secondary property market by limiting the resale time of second-hand houses. In view of this, this paper incorporates multiple policy factors into one framework, focusing on the impact of the recently introduced HSR policy and examining the joint effect of HSR policy and HPR policy to complement the existing literature.
With the use of the national monthly data from January 2017 to May 2018, a more applicable multi-stage difference-in-difference model (Multi-Stage DID) is conducted to empirically analyze the effect and heterogeneity of HSR policy on housing price at the national and city levels, respectively. And the joint effect of HSR policy and HPR policy are also conducted. The results show that the HSR policy suppresses housing price and its effects are heterogeneous. At the national level, the effect of HSR policy on second-hand houses price is stronger than that of new houses price, and it is more effective on small-sized houses price than large and medium-sized houses price. At the city level, the impact on properties price in first-tier cities is greater than that in second and third-tier cities, and it has a significant role on housing price in central and western cities, but no significant effect in eastern cities. Moreover, the joint effect of both the HSR policy and HPR policy is superior to that of merely HSR policy.
The policy recommendations are proposed as follows. (a) The policy maker of the HSR policy should continue considering local feature and the risk of economic decline if the HSR policy is introduced indiscriminately across the country. (b) During the enforcement of HSR policy, the effective supply of housing should be improved by structural reform at supply-side in the primary market. Policies such as public housing and the welfare-oriented housing will alleviate the structural imbalances between supply and demand in the market.

Key words: house-sale restrictions, housing price, multi-stage DID, housing-purchase restriction, joint effect

中图分类号: