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Entrance opportunity vs. academic performance: unpacking the nonlinear capitalization effects of multidimensional school qualities on housing sales and rental prices

Economics

Entrance opportunity vs. academic performance: unpacking the nonlinear capitalization effects of multidimensional school qualities on housing sales and rental prices

L. Hu and S. He

This study by Lirong Hu and Shenjing He challenges traditional views on the relationship between housing prices and school performance. It uncovers how entrance opportunities in Shenzhen significantly influence housing rental prices, especially in lower-priced segments, while sales prices are driven by academic performance. Discover the nuanced dynamics of education capitalization in urban contexts!

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~3 min • Beginner • English
Abstract
It is widely documented that school quality has a capitalization effect on housing prices. However, existing literature has commonly reported a linear relationship between housing sales prices and the academic performance of nearby schools. This study challenges this prevalent understanding by examining how the entrance opportunity as an integral part of school quality affects both housing sales prices and housing rental prices, in response to the newly adopted point-based school enrolment policy in China whereby tenants are allowed to access local public schools but with fewer opportunities compared to homeowners. Employing machine learning algorithms, this study identifies which key school indicators and what ranges of these indicators have significant impacts on different housing sales and rental price segments in Shenzhen, China. Our results reveal that housing rental prices, particularly in the lower-priced segment, are more determined by the entrance opportunity than the academic performance, while the latter is the most important factor influencing housing sales prices. The nonlinear capitalization effect suggests that tenants and homebuyers are willing to pay more for school quality increases only within specific ranges, namely, from median to a relatively high level of school quality. These findings contribute to a more nuanced and updated understanding of the education capitalization effect and thus inform more inclusive and equitable urban planning and governance.
Publisher
HUMANITIES AND SOCIAL SCIENCES COMMUNICATIONS
Published On
Sep 27, 2024
Authors
Lirong Hu, Shenjing He
Tags
housing prices
school performance
entrance opportunity
machine learning
Shenzhen
education capitalization
urban planning
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