北京大学学报自然科学版 ›› 2019, Vol. 55 ›› Issue (3): 537-542.DOI: 10.13209/j.0479-8023.2019.024

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中学学区对周边小区二手房房价的溢价分析——以深圳市为例

梁立雨1, 郭志强1, 李军祥1, 吕斌1,2,†   

  1. 1. 北京大学城市规划与设计学院, 深圳518055 2. 北京大学城市与环境学院, 北京100871
  • 收稿日期:2018-08-02 修回日期:2018-11-27 出版日期:2019-05-20 发布日期:2019-05-20
  • 通讯作者: 吕斌,E-mail:binlu(at)pku.edu.cn
  • 基金资助:
    北京建筑大学未来城市设计高精尖创新中心项目(udc2018010921)资助

Analysis of the Premium of Second-Hand Housing Prices in Surrounding Communities in Middle School Districts: Taking Shenzhen as an Example

LIANG Liyu1, GUO Zhiqiang1, LI Junxiang1, LÜ Bin1,2,†   

  1. 1. Peking University of Urban Planning and Design Sciences, Shenzhen 518055 2. School of Urban and Environmental Sciences, Peking University, Beijing 100871
  • Received:2018-08-02 Revised:2018-11-27 Online:2019-05-20 Published:2019-05-20
  • Contact: LÜ Bin,E-mail:binlu(at)pku.edu.cn

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摘要：

选取深圳市3个主要城区185个居住小区的数据, 从中学质量(省级或非省级中学)的维度进行量化建立特征价格模型, 研究深圳市中学教育设施对房价资本化程度的影响。结果表明, 在影响中学周边小区二手房房价的因素中, 学校特征因素有显著的影响, 其中升学率、本硕以上教师和重点学校有正向助推作用, 而生师比有负向抑制作用。影响省级中学和非省级中学周边房价的学校特征因素存在差异, 其中在非省级中学周边小区二手房房价中, 主要是升学率和生师比等特征的影响, 而在省级中学周边小区二手房房价中, 主要是本硕以上教师人数和生师比等特征影响。与地铁和CBD的距离以及楼龄对中学周边房价表现为负影响, 且与重大商业服务中心和地铁站距离每增加1 km, 房价分别下降13.9%和28.7%, 楼龄每增加1年, 房价下降6.8%。研究结果揭示了中学教育质量特征对住宅价格的影响及程度, 综合反映了深圳市中学学区房价格的影响机制。

关键词: 学区房, 深圳, 升学率, 特征价格模型, 房价

Abstract:

This paper selects the data of 185 residential quarters in three major urban districts of Shenzhen, and establishes a characteristic price model by quantitatively analyzing the quality of secondary schools to study the impact of secondary education facilities in Shenzhen on the degree of capitalization of housing prices. The results show that among the factors affecting the second-hand housing prices in the surrounding areas of middle schools, the characteristics of the school have significant influences. Among them, the rate of higher education, teachers and key schools above the school are positively boosting the prices of second-hand houses, while the effect of the student-teacher ratio is negative. At the same time, there are differences in the characteristics of schools between provincial middle schools and non-provincial middle schools affecting the second-hand house prices. Among them, the prices of second-hand houses in non-provincial middle schools are mainly influenced by school characteristics such as the rate of enrollment and student-teacher ratio, while in the vicinity of provincial middle schools, the price is mainly influenced by the number of teachers and the student-teacher ratio. The distance from the subway, CBD and the age of the building have a negative impact on the housing prices around the middle school, and each additional 1 km from the major commercial service centers and subway stations, house prices fell by 13.9% and 28.7% respectively. For every one year of building age, house prices fell by 6.8%. This study reveals the impact and extent of the quality characteristics of secondary education on residential prices, and more comprehensively reflects the impact mechanism of housing prices in Shenzhen secondary school districts.

Key words: school district, Shenzhen, rate of enrollment, characteristic price model, house price

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