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Residential property price differentials of waste plants: evidence from Beijing, China

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  • Yingdan Mei
  • Li Gao
  • Peiyuan Zhang

Abstract

As a primary source of urban pollution, waste plants release toxic gases and polluted waste water that can cause great harm to human health and contaminate water resources. The adverse impact of waste plants on environmental threaten the quality of life of surrounding residents which will be reflected in residential property values. In this study, we develop a hedonic price model to estimate the environmental externalities of waste plants based on a panel dataset for real-estate transactions in Beijing from 2011 to 2015. We apply fixed effects and a Heckman selection model to control for omitted variable bias and sample selection bias and then construct price counterfactuals for properties. The price differentials between expected and counterfactual prices are then calculated. Our empirical results suggest that waste plants negatively influence residential property prices. Additionally, the influences of other factors, such as school district, traffic convenience, and average housing area, on property prices are consistent with common sense, though they are weakened for properties within three kilometers of waste plants.

Suggested Citation

  • Yingdan Mei & Li Gao & Peiyuan Zhang, 2019. "Residential property price differentials of waste plants: evidence from Beijing, China," Applied Economics, Taylor & Francis Journals, vol. 51(55), pages 5952-5960, November.
    • Handle: RePEc:taf:applec:v:51:y:2019:i:55:p:5952-5960
    DOI: 10.1080/00036846.2019.1640858
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    Cited by:

    1. Zhaoyang Liu & Heqing Huang & Juha Siikamäki & Jintao Xu, 2024. "Area-Based Hedonic Pricing of Urban Green Amenities in Beijing: A Spatial Piecewise Approach," Environmental & Resource Economics, Springer;European Association of Environmental and Resource Economists, vol. 87(5), pages 1223-1248, May.
    2. Mei, Yingdan & Qiu, Jixiang & Wu, Jialu & Meng, Lina, 2021. "Do residents care about urban dumps? Evidence from individual housing transaction data," Land Use Policy, Elsevier, vol. 109(C).

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