华东师范大学学报（自然科学版） >

2022 , Vol. 2022 >Issue 1: 97 - 108

DOI: https://doi.org/10.3969/j.issn.1000-5641.2022.01.012

地理学

空间视域下义务教育质量对房价的影响

  • 杨慧 ,
  • 曾进 ,
  • 杨乃 ,
  • 孔凡敏
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  • 1. 中国地质大学 地理与信息工程学院, 武汉　430078
    2. 湖北第二师范学院 马克思主义学院, 武汉　430205

收稿日期: 2020-11-18

  网络出版日期: 2022-01-18

基金资助

2020年湖北省社科基金 (2020039)

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Effect of compulsory education school quality on housing prices from a spatial perspective

  • Hui YANG ,
  • Jin ZENG ,
  • Nai YANG ,
  • Fanmin KONG
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  • 1. School of Geography and Information Engineering, China University of Geosciences, Wuhan　430078, China
    2. Academy of Marxism, Hubei University of Education, Wuhan　430205, China

Received date: 2020-11-18

  Online published: 2022-01-18

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摘要

以湖北省武汉市为例, 通过收集搜房网、家长帮、武汉市教育局等网站的学校和房价数据, 借用地理加权回归 (Geographic Weighted Regression, GWR) 方法探究义务教育质量对房价的影响, 运用反距离权重插值法进行可视化分析. 结果表明: ①义务教育质量对房价具有正相关影响, 省级示范学校对房价的溢价程度相对较高; ②初中质量的资本化效应高于小学; ③新城区的中小学教育质量对房价的影响较大, 江岸区中部及北部地区的对口中小学组合质量对房价的影响最大, 武昌区、硚口区和江汉区学校质量整体上对房价影响较小.

关键词： 学区房; 教育资源; 特征价格模型; GWR模型; 教育资本化

本文引用格式

杨慧 , 曾进 , 杨乃 , 孔凡敏 . 空间视域下义务教育质量对房价的影响[J]. 华东师范大学学报（自然科学版）, 2022 , 2022(1) : 97 -108 . DOI: 10.3969/j.issn.1000-5641.2022.01.012

Abstract

In this study, we used the geographic weighted regression (GWR) method to explore the impact of compulsory education quality on housing prices. For the purpose of this analysis, we considered Wuhan in Hubei Province as the study area and collected school and housing price data from websites such as Sofang.com, Jzb.com, Whjyj.gov.cn, etc. We also used the inverse distance weighted (IDW) method for visual analysis. The results showed that: ① The quality of compulsory education has a positive impact on housing prices, and provincial demonstration schools, in particular, create a relatively high price premium on housing prices; ② The capitalization effect of the quality of junior high school is higher than that of elementary school; ③ The quality of primary and junior high school education in new urban areas has the greatest impact on housing prices. The quality of the combination of primary and junior high schools in the central and northern areas of Jiangan District had a significant impact on housing prices, while the quality of schools in the Wuchang, Qiaokou, and Jianghan districts had relatively less impact on housing prices as a whole.

Key words： school district housing; educational resources; hedonic price model; GWR model; education capitalization

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