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The Heterogenous Demand for Urban Parks between Home Buyers and Renters: Evidence from Beijing

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  • Tianzheng Zhang

    (School of Economics and Management, Beijing Forestry University, Beijing 100083, China)

  • Yingxiang Zeng

    (School of Economics and Management, Beijing Forestry University, Beijing 100083, China)

  • Yingjie Zhang

    (School of Economics and Management, Beijing Forestry University, Beijing 100083, China)

  • Yan Song

    (Department of City and Regional Planning, University of North Carolina at Chapel Hill, Chapel Hill, NC 27599, USA)

  • Hongxun Li

    (School of Economics and Management, Beijing Forestry University, Beijing 100083, China)

Abstract

Many studies have confirmed that there is demand among urban residents and renters for urban parks. Moreover, as renters and home buyers have very different levels of ownership over their housing resources, their demands for amenities can be heterogenous. To discover and identify such heterogeneous demands is worthy of attention. Using the micro-housing resale transactions and listing data for housing leases in Beijing during 2019, this paper explores the difference between the demand for urban parks among home buyers and renters outside the community from the perspective of the internal quality of the community by using the hedonic price model (HPM). Specifically, from the dimension of the property management service fee and greening rate, we find that for home buyers, compared to residents living in relatively poor-quality communities, a better-quality community will reduce the demand for urban parks outside the community. Conversely, for renters, the higher the quality of the community is, the higher the demand for urban parks outside the community will be.

Suggested Citation

  • Tianzheng Zhang & Yingxiang Zeng & Yingjie Zhang & Yan Song & Hongxun Li, 2020. "The Heterogenous Demand for Urban Parks between Home Buyers and Renters: Evidence from Beijing," Sustainability, MDPI, vol. 12(21), pages 1-16, October.
    • Handle: RePEc:gam:jsusta:v:12:y:2020:i:21:p:9058-:d:437870
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    1. Cankun Wei & Meichen Fu & Li Wang & Hanbing Yang & Feng Tang & Yuqing Xiong, 2022. "The Research Development of Hedonic Price Model-Based Real Estate Appraisal in the Era of Big Data," Land, MDPI, vol. 11(3), pages 1-30, February.
    2. Xiaoping Zhou & Tong Lei & Yuyao Wang & Tianzheng Zhang & Yingjie Zhang & Yan Song & Yingxiang Zeng, 2022. "The spillover effect of senior neighbors on housing prices: Evidence from Beijing, China," Growth and Change, Wiley Blackwell, vol. 53(4), pages 1783-1812, December.
    3. Wang, Jianing & Lee, Chyi Lin, 2022. "The value of air quality in housing markets: A comparative study of housing sale and rental markets in China," Energy Policy, Elsevier, vol. 160(C).

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