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Meta-analysis of the relationship between high quality basic education resources and housing prices

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  • Zhang, Jingke
  • Li, Huan
  • Lin, Jingxia
  • Zheng, Wei
  • Li, Heng
  • Chen, Zhigang

Abstract

There are many studies examining the school district housing premium, and conclusions regarding the premium are quite diverse. Therefore, it is necessary to conduct an integrated analysis of the relevant literatures to determine the factors causing the premium, and to explore logically the relationship between housing prices and high quality basic education resources. Based on this goal, a theoretical framework is designed to analyze the incremental effect of high quality basic education resources on housing prices. Using the meta-analysis method, this study discusses the problem of the Chinese school district housing premium based on three aspects of education, namely location, stage, and characteristics. The study finds that education resources in the compulsory education stage have a positive impact (5.5 %) on housing prices. Compared with distance and quantity, the quality of schools has the highest premium rate, which is 7.2 %. The premium rate of education resources in non-first-tier cities (5.8 %) is higher than that in first-tier cities (2.8 %). We conclude that the connection between compulsory education and household registration is the key driving force behind the high housing premium in China.

Suggested Citation

  • Zhang, Jingke & Li, Huan & Lin, Jingxia & Zheng, Wei & Li, Heng & Chen, Zhigang, 2020. "Meta-analysis of the relationship between high quality basic education resources and housing prices," Land Use Policy, Elsevier, vol. 99(C).
    • Handle: RePEc:eee:lauspo:v:99:y:2020:i:c:s0264837719321817
    DOI: 10.1016/j.landusepol.2020.104843
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    References listed on IDEAS

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    Cited by:

    1. Zhengyuan Chai & Yi Yang & Yangyang Zhao & Yonghu Fu & Ling Hao, 2021. "Exploring the Effects of Contextual Factors on Residential Land Prices Using an Extended Geographically and Temporally Weighted Regression Model," Land, MDPI, vol. 10(11), pages 1-20, October.
    2. Wu, Chao & Du, Yihao & Li, Sheng & Liu, Pengyu & Ye, Xinyue, 2022. "Does visual contact with green space impact housing pricesʔ An integrated approach of machine learning and hedonic modeling based on the perception of green space," Land Use Policy, Elsevier, vol. 115(C).
    3. Chaohai Shen & Tong Sheng & Xingheng Shi & Bingquan Fang & Xiaoqian Lu & Xiaolan Zhou, 2022. "The Relationship between Housing Price, Teacher Salary Improvement, and Sustainable Regional Economic Development," Land, MDPI, vol. 11(12), pages 1-21, December.
    4. Ismail, Mohammad & Warsame, Abukar & Wilhelmsson, Mats, 2022. "Schools' capitalization into housing values in a context of free school choices," Working Paper Series 22/4, Royal Institute of Technology, Department of Real Estate and Construction Management & Banking and Finance.
    5. Mathur, Shishir, 2022. "Non-linear and weakly monotonic relationship between school quality and house prices," Land Use Policy, Elsevier, vol. 113(C).
    6. Jin, Zhiyun & Wang, Xingrui & Huang, Bin, 2023. "The enrolment reform of schools and housing price: Empirical evidence from Shanghai, China," International Review of Economics & Finance, Elsevier, vol. 84(C), pages 262-273.
    7. Doan, Quang Cuong, 2023. "Determining the optimal land valuation model: A case study of Hanoi, Vietnam," Land Use Policy, Elsevier, vol. 127(C).
    8. Wu, Fangning & Li, Wenjing & Qiu, Waishan, 2023. "Examining non-linear relationship between streetscape features and propensity of walking to school in Hong Kong using machine learning techniques," Journal of Transport Geography, Elsevier, vol. 113(C).
    9. Haochuan Xu & Han Yang & Hui Wang & Xuefeng Li, 2021. "The Association of Residence Permits on Utilization of Health Care Services by Migrant Workers in China," IJERPH, MDPI, vol. 18(18), pages 1-16, September.
    10. Changyao Song & Yijun Liu & Xinjian Li & Jiayi Zhang & Qier Lyu, 2024. "Tourism development and urban housing prices: Evidence from China," Tourism Economics, , vol. 30(5), pages 1115-1139, August.

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