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Impact of an urban growth boundary across the entire house price spectrum: The two-stage quantile spatial regression approach

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  • Mathur, Shishir

Abstract

This study provides evidence for the impact of an urban growth boundary (UGB) on house prices. The study employs a two-stage quantile spatial regression method on a dataset that inventories sales transactions of single-family houses within two miles of either side of the eastern boundary of the primary UGB in King County, Washington. The results show that while the UGB decreases house prices across the entire house price spectrum, the impact is uneven; it is most pronounced for houses in the 5th to 8th decile of prices. These findings should encourage policy makers to adopt sub-housing-market-level policy approaches to address UGB and other urban and regional development policies’ potential impacts on house prices.

Suggested Citation

  • Mathur, Shishir, 2019. "Impact of an urban growth boundary across the entire house price spectrum: The two-stage quantile spatial regression approach," Land Use Policy, Elsevier, vol. 80(C), pages 88-94.
    • Handle: RePEc:eee:lauspo:v:80:y:2019:i:c:p:88-94
    DOI: 10.1016/j.landusepol.2018.09.011
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    References listed on IDEAS

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    Cited by:

    1. Haitao Ji & Xiaoshun Li & Yiwei Geng & Xin Chen & Yuexiang Wang & Jumei Cheng & Zhuang Chen, 2023. "Delineation of Urban Development Boundary and Carbon Emission Effects in Xuzhou City, China," Land, MDPI, vol. 12(9), pages 1-16, September.
    2. Zhipeng Lai & Chengjing Chen & Jianguo Chen & Zhuo Wu & Fang Wang & Shaoying Li, 2022. "Multi-Scenario Simulation of Land-Use Change and Delineation of Urban Growth Boundaries in County Area: A Case Study of Xinxing County, Guangdong Province," Land, MDPI, vol. 11(9), pages 1-18, September.
    3. Mateusz Tomal & Marco Helbich, 2023. "A spatial autoregressive geographically weighted quantile regression to explore housing rent determinants in Amsterdam and Warsaw," Environment and Planning B, , vol. 50(3), pages 579-599, March.
    4. Congbo Chen & Azhong Ye, 2021. "Heterogeneous Effects of ICT across Multiple Economic Development in Chinese Cities: A Spatial Quantile Regression Model," Sustainability, MDPI, vol. 13(2), pages 1-13, January.
    5. Jiaojiao Luo & Wei Wang & Yuzhe Wu & Yi Peng & Linlin Zhang, 2021. "Analysis of an Urban Development Boundary Policy in China Based on the IAD Framework," Land, MDPI, vol. 10(8), pages 1-17, August.
    6. Qing Yao & Yingen Hu, 2023. "Spatial–Temporal Variation and Influencing Factors on Housing Prices of Resource-Based City: A Case Study of Xuzhou, China," Sustainability, MDPI, vol. 15(9), pages 1-20, April.
    7. Mathur, Shishir, 2020. "Impact of transit stations on house prices across entire price spectrum: A quantile regression approach," Land Use Policy, Elsevier, vol. 99(C).
    8. Xiaoqiang Shen & Xiangdong Wang & Zhou Zhang & Luocheng Fei, 2021. "Does non-conforming urban development mean the failure of zoning? A framework for conformance-based evaluation," Environment and Planning B, , vol. 48(5), pages 1279-1295, June.
    9. Tomal Mateusz, 2019. "The Impact of Macro Factors on Apartment Prices in Polish Counties: A Two-Stage Quantile Spatial Regression Approach," Real Estate Management and Valuation, Sciendo, vol. 27(4), pages 1-14, December.

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