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How Much Are People Willing to Pay for Clean Air? Analyzing Housing Prices in Response to the Smog Free Tower in Xi’an

Author

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  • Haiyong Zhang

    (School of Mathematics and Finance, Chuzhou University, Chuzhou 239000, China
    School of International and Public Affairs, Shanghai Jiao Tong University, Shanghai 200030, China)

  • Sanqin Mao

    (School of International and Public Affairs, Shanghai Jiao Tong University, Shanghai 200030, China)

  • Xinyu Wang

    (School of Economics and Management, China University of Mining and Technology, Xuzhou 221116, China)

Abstract

The Smog Free Tower (SFT) in the city of Xi’an, China, is the world’s first outdoor architecture that uses solar energy and filtration technology to purify polluted air. It provides a unique opportunity to explore residents’ willingness to pay for air quality and their related behaviors. Drawing on data collected after the establishment of the SFT, this paper reveals the characteristics of changes in people’s willingness to pay for clean air. We found that, prior to the release of an assessment report on the SFT, housing prices had an inverted U-shaped relationship with the distance to the SFT, which indicated people tended to purchase houses a certain distance away from the SFT. The threshold value of distance was inversely related to the greening ratio of the residential area. However, after the publication of the experimental report on the SFT, housing prices decreased as the distance to the SFT increased, indicating the closer the house was to the SFT, the more likely people were to buy it. These changes confirmed that people are willing to pay for clean air. The convenience of transportation had a significant moderating effect on the willingness to pay for clean air, however. In other words, people may buy houses with lower air quality if they have better transportation accessibility. The findings of this paper may have practical implications for environmental governance, urban planning, residential satisfaction, and real estate market regulation.

Suggested Citation

  • Haiyong Zhang & Sanqin Mao & Xinyu Wang, 2021. "How Much Are People Willing to Pay for Clean Air? Analyzing Housing Prices in Response to the Smog Free Tower in Xi’an," IJERPH, MDPI, vol. 18(19), pages 1-16, September.
  • Handle: RePEc:gam:jijerp:v:18:y:2021:i:19:p:10210-:d:645280
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    References listed on IDEAS

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    1. Jie Chen & Qianjin Hao & Chamna Yoon, 2018. "Measuring the welfare cost of air pollution in Shanghai: evidence from the housing market," Journal of Environmental Planning and Management, Taylor & Francis Journals, vol. 61(10), pages 1744-1757, August.
    2. Siqi Zheng & Jing Cao & Matthew Kahn & Cong Sun, 2014. "Real Estate Valuation and Cross-Boundary Air Pollution Externalities: Evidence from Chinese Cities," The Journal of Real Estate Finance and Economics, Springer, vol. 48(3), pages 398-414, April.
    3. Simon Luechinger, 2009. "Valuing Air Quality Using the Life Satisfaction Approach," Economic Journal, Royal Economic Society, vol. 119(536), pages 482-515, March.
    4. V. Smith & Ju Huang, 1993. "Hedonic models and air pollution: Twenty-five years and counting," Environmental & Resource Economics, Springer;European Association of Environmental and Resource Economists, vol. 3(4), pages 381-394, August.
    5. Can, Ayse, 1992. "Specification and estimation of hedonic housing price models," Regional Science and Urban Economics, Elsevier, vol. 22(3), pages 453-474, September.
    6. Kenneth Y. Chay & Michael Greenstone, 2005. "Does Air Quality Matter? Evidence from the Housing Market," Journal of Political Economy, University of Chicago Press, vol. 113(2), pages 376-424, April.
    7. Smersh, Greg T. & Smith, Marc T., 2000. "Accessibility Changes and Urban House Price Appreciation: A Constrained Optimization Approach to Determining Distance Effects," Journal of Housing Economics, Elsevier, vol. 9(3), pages 187-196, September.
    8. Adamowicz W. & Louviere J. & Williams M., 1994. "Combining Revealed and Stated Preference Methods for Valuing Environmental Amenities," Journal of Environmental Economics and Management, Elsevier, vol. 26(3), pages 271-292, May.
    9. Harrison, David Jr. & Rubinfeld, Daniel L., 1978. "Hedonic housing prices and the demand for clean air," Journal of Environmental Economics and Management, Elsevier, vol. 5(1), pages 81-102, March.
    10. Ruoyu Wang & Desheng Xue & Ye Liu & Penghua Liu & Hongsheng Chen, 2018. "The Relationship between Air Pollution and Depression in China: Is Neighbourhood Social Capital Protective?," IJERPH, MDPI, vol. 15(6), pages 1-13, June.
    11. Efthymiou, D. & Antoniou, C., 2013. "How do transport infrastructure and policies affect house prices and rents? Evidence from Athens, Greece," Transportation Research Part A: Policy and Practice, Elsevier, vol. 52(C), pages 1-22.
    12. Won Kim, Chong & Phipps, Tim T. & Anselin, Luc, 2003. "Measuring the benefits of air quality improvement: a spatial hedonic approach," Journal of Environmental Economics and Management, Elsevier, vol. 45(1), pages 24-39, January.
    13. Jeff Anstine, 2003. "Property Values in a Low Populated Area when Dual Noxious Facilities are Present," Growth and Change, Wiley Blackwell, vol. 34(3), pages 345-358, August.
    14. Cobb, Steven A., 1977. "Site rent, air quality, and the demand for amenities," Journal of Environmental Economics and Management, Elsevier, vol. 4(3), pages 214-218, September.
    15. Heyes, Anthony & Zhu, Mingying, 2019. "Air pollution as a cause of sleeplessness: Social media evidence from a panel of Chinese cities," Journal of Environmental Economics and Management, Elsevier, vol. 98(C).
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