PROGRESS IN GEOGRAPHY ›› 2021, Vol. 40 ›› Issue (10): 1771-1787.doi: 10.18306/dlkxjz.2021.10.013

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Research progress and review of capitalization of compulsory educational resources

SONG Zhengna(), HUA Fuli, LIU Shaoli   

  1. College of Geographical Sciences, Nanjing University of Information Science & Technology, Nanjing 210044, China
  • Received:2020-12-10 Revised:2021-04-16 Online:2021-10-28 Published:2021-12-28
  • Supported by:
    National Natural Science Foundation of China(41801159);National Natural Science Foundation of China(41771184);Overseas Visiting Scholar Program for University Prominent Young & Middle-Age Teachers and Presidents in Jiangsu Province of China


High quality public compulsory education resources have a strong capitalization effect on urban housing prices, which leads to the unique urban residential landscape and residential clustering. Such issue has become the focus in the field of public service provision. In the existing review studies, there is a lack of systematic discussion on the capitalization of educational resources. Based on the analysis of the concept and formation mechanism of the educational resources capitalization, we focused on the impact of school education quality and accessibility on housing prices, the measurement of educational resources capitalization, the residential clustering (segregation) caused by unbalanced distribution of educational resources, and coping strategies. First, from the perspective of the measurement of the quality of school education and its impact on housing prices and the measurement of the accessibility from dwelling places to schools and impact on housing prices, we summarized the relevant research on the impact of educational resources on housing prices. We introduced the mainstream methods to quantify the quality of school education and the impact of school education quality on housing prices. Then we commented on the limitations of traditional accessibility measurement methods, the advantages of the new comprehensive measurement methods, and the impact of school accessibility on housing prices. Second, we reviewed the four typical research methods (hedonic price method, fixed boundary method, instrumental variable approach, difference-in-difference method), some typical spatial econometric models, and geographically weighted regression model and their related applications, to examine the relevant literature on the measurement methods for educational resources capitalization. Finally, we summarized the research progress of educational clustering and coping strategies concerning the phenomenon of educational clustering (segregation) caused by school selection or school district policies and the policies on alleviating the problem. The following topics may be the direction of further discussion: tracking and evaluating the effect of enrollment policy, constructing a systematic research framework to alleviate the problem of education clustering, measuring the capitalization of educational resources covering the whole schooling period, designing more effective accessibility measurement methods for schools in each schooling period, assessing the impact of school accessibility on housing prices (especially rental prices) under the background of "school choice" policies, and following the dynamic changes of capitalization of educational resources under the policy of the same right of renters and owners in China.

Key words: capitalization of educational resources, quality of school education, accessibility to schools, residential clustering due to educational resources distribution