Empirical Evidence Based on Geographic Regression Discontinuity Analysis of Housing in Guangzhou School District

Yulu Ouyang; Keyue Sun

doi:10.54691/bcpbm.v26i.1935

Authors

Yulu Ouyang
Keyue Sun

DOI:

https://doi.org/10.54691/bcpbm.v26i.1935

Keywords:

BP neural network prediction; optimization decision; risk control; AHP.

Abstract

In recent years, the "school district housing boom" has become a general concern as it disrupted the housing market, undermining educational equity and class mobility. In view of the real problem of housing premium in school districts, this paper selects the housing data of primary school districts in Guangzhou as a research sample, quantifies it and discusses the impact of education supply on it, so as to provide references and suggestions for subsequent policy introduction. The main research conclusions of this paper are as follows: There is a premium for housing in Guangzhou’s school districts. After excluding the influence of location and physical factors, it is calculated that the housing price from Longdong School District to Yongping School District has increased by about 42.3%.

Downloads

Download data is not yet available.

References

Zhang, M., and J.Chen, “Unequal School Enrollment Rights, Rent Yields Gap, and Increased Inequality: The Case of Shanghai”. [J] China Economic Review, 2018, 49, 229-240

Bogart, W. T., & Cromwell, B. A. (1997). “Much more is a good school district worth?”. [J] National Tax Journal, 50(2), 215-232

Rosen H S, Fullerton D J. “A Note on Local Tax Rates, Public Benefit Levels, and Property Values”. [J]. Journal of Political Economy, 1977, 85 (2): 433-440

Judd G D, Watts JM. Schools and Housing Values [U] Land Economics, 1981 (57): 459-470

Atkinson S R, Crocker E, Rothstein J. “The Value of School Facility Investment Evidence from a Dynamic Regression Discontinuity Design”. [J]. Quarterly Journal of Economics, 1987, 125 (1): 215-261

Black, S. E. (1999). “Do better schools matter? Parental valuation of elementary education”. [J] The quarterly journal of economics, 114(2), 577-599.

Gibbons, S., & Machin, S. (2003). “Valuing English primary schools”. [J] Journal of urban economics, 53(2), 197-219.

Bayer, P., Ferreira, F., & McMillan, R. “A unified framework for measuring preferences for schools and neighborhoods. [J] Journal of political economy, 2007, 115(4), 588-638

Han Xuan, Shen Yan, Zhao Bo. “Premium Evaluation of Quality Education in Housing Prices: Taking Beijing as an Example”. [J]. Economics (Quarterly), 2020, 20(05): 257-276.

Rosen, S. (1974). “Hedonic prices and implicit markets: product differentiation in pure competition”. [J] Journal of political economy, 82(1), 34-55.

Zhang Muyang, Chen Jie, Shi Wei. “School District Value Measurement from the Perspective of Rental Rate Discount: Evidence from Shanghai's Second-hand Housing Market”. [J]. Financial Research, 2016(06): 97-111.

Sun Weizeng, Lin Jiayu. “Can the supply of educational resources reduce the housing premium in school districts? —— Evidence from the new primary schools in Beijing”. [J]. Economics (Quarterly), 2020, 19(02): 499-520

Hu Wanyang, Zheng Siqi, Wang Rui. “How big is the real estate premium in the school district: Empirical estimation using "Rent-Buy Different Rights" and Paired Regression”. [J]. Economics (Quarterly), 2014, 13(03): 1195-1214

Oates WE. “The Effects of Property Taxes and Local Public Spending onProperty Values: An Empircal Study of Tax Capitalization and the TieboutHypothesis” [U]. Joumal of Political Economy, 1969, 77 (6): 957-971

Zhang Hao, Li Zhongfei, Deng Bojun. “Educational Resource Allocation Mechanism and Housing Prices: An Empirical Analysis of the Phenomenon of Educational Capitalization in my country”. [J]. Financial Research, 2014(05): 193-206.

Wang Ying, Zhang Hongrui, Qing Tianyou. “Research on housing premium in Harbin school districts” [J]. Northern Economic and Trade, 2020(03): 50-52.

“Why Do Households without Children Support Local Public Schools? Linking House Price Capitalization to School Spending”, [J]Journal of Urban Economics, 2009, 65 (1), 74-90

Stadelmann, D. and S. Billon, “Capitalization of Fiscal Variables and Land Scarcity”, [J]Urban Studies, 2012,49(7),1571-1594

Keele, L. J., & Titiunik, R. “Geographic boundaries as regression discontinuities”. Political Analysis, 2015, 23(1), 127-155

Bouabid, S., Chernetskiy, M., Rischard, M., & Gamper, J.. “Predicting Landsat Reflectance with Deep Generative Fusion”. [J] arXiv preprint arXiv: 2011.04762.