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The enrolment reform of schools and housing price: Empirical evidence from Shanghai, China

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  • Jin, Zhiyun
  • Wang, Xingrui
  • Huang, Bin

Abstract

Based on the housing transaction data from Shanghai of China, the Difference-in-Differences (DID) model is taken to evaluate the synchronous enrolment policy which aim to equalize access to public and private schools. The results indicate that the policy increased the housing prices of high-quality public primary school districts by an average of 1.6%. Moreover, the policy has different impacts on housing premium in elite school districts at different levels. The estimated values of the housing premium in top-, second- and third-class key primary schools district were 6.7%, 2.5% and −1.2%, respectively. The policy impacted mainly significantly on small-sized houses. For the houses smaller than 40m2 and 40–60m2, the housing premiums were 2.1% and 1.8% respectively. To eliminate the uncertainty of participating in public school enrolment after the failure of enrolment in private schools, many families gave up the rights to choose private schools and bought houses in high-quality public-school districts with lower enrolment risk. The policy inhibited the families’ zeal for choosing high-quality private schools, but intensified the competition of “school selection by housing” for high-quality public schools. In order to bridge the gap between public schools and private schools, systematic policy adjustments are suggested including “double reduction policy”, “muti-schools district policy”, etc.

Suggested Citation

  • 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.
  • Handle: RePEc:eee:reveco:v:84:y:2023:i:c:p:262-273
    DOI: 10.1016/j.iref.2022.11.024
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    References listed on IDEAS

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    1. Sandra E. Black, 1999. "Do Better Schools Matter? Parental Valuation of Elementary Education," The Quarterly Journal of Economics, President and Fellows of Harvard College, vol. 114(2), pages 577-599.
    2. David M. Brasington, 1999. "Which Measures of School Quality Does the Housing Market Value?," Journal of Real Estate Research, American Real Estate Society, vol. 18(3), pages 395-414.
    3. Livy, Mitchell R., 2017. "The effect of local amenities on house price appreciation amid market shocks: The case of school quality," Journal of Housing Economics, Elsevier, vol. 36(C), pages 62-72.
    4. Agarwal, Sumit & Rengarajan, Satyanarain & Sing, Tien Foo & Yang, Yang, 2016. "School allocation rules and housing prices: A quasi-experiment with school relocation events in Singapore," Regional Science and Urban Economics, Elsevier, vol. 58(C), pages 42-56.
    5. Huang, Bin & He, Xiaoyan & Xu, Lei & Zhu, Yu, 2020. "Elite School Designation and Housing Prices: Quasi-Experimental Evidence from Beijing, China," IZA Discussion Papers 12897, Institute of Labor Economics (IZA).
    6. Paul Cheshire & Stephen Sheppard, 2004. "Capitalising the Value of Free Schools: The Impact of Supply Characteristics and Uncertainty," Economic Journal, Royal Economic Society, vol. 114(499), pages 397-424, November.
    7. Charles M. Tiebout, 1956. "A Pure Theory of Local Expenditures," Journal of Political Economy, University of Chicago Press, vol. 64, pages 416-416.
    8. David N. Figlio & Maurice E. Lucas, 2004. "What's in a Grade? School Report Cards and the Housing Market," American Economic Review, American Economic Association, vol. 94(3), pages 591-604, June.
    9. Kelvin J. Lancaster, 1966. "A New Approach to Consumer Theory," Journal of Political Economy, University of Chicago Press, vol. 74, pages 132-132.
    10. Lee, Yong Suk, 2015. "School districting and the origins of residential land price inequality," Journal of Housing Economics, Elsevier, vol. 28(C), pages 1-17.
    11. Mothorpe, Christopher, 2018. "The impact of uncertainty on school quality capitalization using the border method," Regional Science and Urban Economics, Elsevier, vol. 70(C), pages 127-141.
    12. 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).
    13. Gibbons, Stephen & Machin, Stephen & Silva, Olmo, 2013. "Valuing school quality using boundary discontinuities," Journal of Urban Economics, Elsevier, vol. 75(C), pages 15-28.
    14. Huang, Bin & He, Xiaoyan & Xu, Lei & Zhu, Yu, 2020. "Elite school designation and housing prices-quasi-experimental evidence from Beijing, China✰," Journal of Housing Economics, Elsevier, vol. 50(C).
    15. Gibbons, Stephen & Machin, Stephen & Silva, Olmo, 2013. "Valuing school quality using boundary discontinuity," LSE Research Online Documents on Economics 45246, London School of Economics and Political Science, LSE Library.
    16. Peng, Ying & Tian, Chuanhao & Wen, Haizhen, 2021. "How does school district adjustment affect housing prices: An empirical investigation from Hangzhou, China," China Economic Review, Elsevier, vol. 69(C).
    17. Gibbons, Steve & Machin, Stephen, 2003. "Valuing English primary schools," Journal of Urban Economics, Elsevier, vol. 53(2), pages 197-219, March.
    18. Bogart, William T. & Cromwell, Brian A., 2000. "How Much Is a Neighborhood School Worth?," Journal of Urban Economics, Elsevier, vol. 47(2), pages 280-305, March.
    19. Kathy J. Hayes & Lori L. Taylor, 1996. "Neighborhood school characteristics: what signals quality to homebuyers?," Economic and Financial Policy Review, Federal Reserve Bank of Dallas, issue Q IV, pages 2-9.
    20. Qiyan Wu & Tim Edensor & Jianquan Cheng, 2018. "Beyond Space: Spatial (Re)Production and Middle†Class Remaking Driven by Jiaoyufication in Nanjing City, China," International Journal of Urban and Regional Research, Wiley Blackwell, vol. 42(1), pages 1-19, January.
    21. Chung, Il Hwan, 2015. "School choice, housing prices, and residential sorting: Empirical evidence from inter-and intra-district choice," Regional Science and Urban Economics, Elsevier, vol. 52(C), pages 39-49.
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    More about this item

    Keywords

    Synchronous enrolment by public and private schools; School district house; Housing premium effect; Difference-in-Differences model;
    All these keywords.

    JEL classification:

    • R21 - Urban, Rural, Regional, Real Estate, and Transportation Economics - - Household Analysis - - - Housing Demand
    • I28 - Health, Education, and Welfare - - Education - - - Government Policy
    • H44 - Public Economics - - Publicly Provided Goods - - - Publicly Provided Goods: Mixed Markets

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