IDEAS home Printed from https://ideas.repec.org/a/gam/jsusta/v12y2020i22p9384-d443405.html
   My bibliography  Save this article

Dynamic and Heterogeneous Demand for Urban Green Space by Urban Residents: Evidence from the Cities in China

Author

Listed:
  • 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

With the increasing number of people starting to attach importance to urban green space (UGS), estimating urban residents’ demand for UGS has become critical. Previous studies have estimated residents’ demands for UGS in different cities using the Rosen–Roback model. However, there has been little analysis of the renters’ requirements for UGS or the dynamic and heterogeneous demands for UGS by residents in cities with varying characteristics. In this study, the prefecture-level cities in China were selected as the object of study for their wide representation of various city characteristics, and the Rosen–Roback model was used to address the abovementioned issues. Residents’ demand for UGS in 285 prefecture-level cities was assessed from 2010 to 2017. The results confirm our hypothesis that when UGS increases by 1%, house prices will increase by about 3% and rents will increase by about 7%, and the demand continues to grow. We also analyzed the heterogeneous demands for UGS by urban residents in different types of cities from three aspects: population density, economic level, and the effects of the National Forest City policy. Finally, we provided suggestions based on empirical results for planning and managing UGS.

Suggested Citation

  • Tianzheng Zhang & Yingxiang Zeng & Yingjie Zhang & Yan Song & Hongxun Li, 2020. "Dynamic and Heterogeneous Demand for Urban Green Space by Urban Residents: Evidence from the Cities in China," Sustainability, MDPI, vol. 12(22), pages 1-15, November.
    • Handle: RePEc:gam:jsusta:v:12:y:2020:i:22:p:9384-:d:443405
    as

    Download full text from publisher

    File URL: https://www.mdpi.com/2071-1050/12/22/9384/pdf
    Download Restriction: no
    File URL: https://www.mdpi.com/2071-1050/12/22/9384/
    Download Restriction: no
    ---><---

    References listed on IDEAS

    as
    1. Chang-Tai Hsieh & Enrico Moretti, 2019. "Housing Constraints and Spatial Misallocation," American Economic Journal: Macroeconomics, American Economic Association, vol. 11(2), pages 1-39, April.
    2. Satyal, Poshendra & Corbera, Esteve & Dawson, Neil & Dhungana, Hari & Maskey, Gyanu, 2020. "Justice-related impacts and social differentiation dynamics in Nepal's REDD+ projects," Forest Policy and Economics, Elsevier, vol. 117(C).
    3. Oates, Wallace E, 1969. "The Effects of Property Taxes and Local Public Spending on Property Values: An Empirical Study of Tax Capitalization and the Tiebout Hypothesis," Journal of Political Economy, University of Chicago Press, vol. 77(6), pages 957-971, Nov./Dec..
    4. H. Spencer Banzhaf & Randall P. Walsh, 2008. "Do People Vote with Their Feet? An Empirical Test of Tiebout," American Economic Review, American Economic Association, vol. 98(3), pages 843-863, June.
    5. Vujcic, Maja & Tomicevic-Dubljevic, Jelena, 2018. "Urban forest benefits to the younger population: The case study of the city of Belgrade, Serbia," Forest Policy and Economics, Elsevier, vol. 96(C), pages 54-62.
    6. David M. Brasington & Diane Hite, 2005. "Demand for Environmental Quality: A Spatial Hedonic Approach," Departmental Working Papers 2005-08, Department of Economics, Louisiana State University.
    7. Muttaqin, Muhammad Zahrul & Alviya, Iis & Lugina, Mega & Hamdani, Farid Almuhayat Uhib & Indartik,, 2019. "Developing community-based forest ecosystem service management to reduce emissions from deforestation and forest degradation," Forest Policy and Economics, Elsevier, vol. 108(C), pages 1-1.
    8. Roback, Jennifer, 1988. "Wages, Rents, and Amenities: Differences among Workers and Regions," Economic Inquiry, Western Economic Association International, vol. 26(1), pages 23-41, January.
    9. Brasington, David M. & Hite, Diane, 2005. "Demand for environmental quality: a spatial hedonic analysis," Regional Science and Urban Economics, Elsevier, vol. 35(1), pages 57-82, January.
    10. Xu, Ze & Zhang, Zhengfeng & Li, Chu, 2019. "Exploring urban green spaces in China: Spatial patterns, driving factors and policy implications," Land Use Policy, Elsevier, vol. 89(C).
    11. Resosudarmo, Ida Aju Pradnja & Tacconi, Luca & Sloan, Sean & Hamdani, Faridh Almuhayat Uhib & Subarudi, & Alviya, Iis & Muttaqin, Muhammad Zahrul, 2019. "Indonesia's land reform: Implications for local livelihoods and climate change," Forest Policy and Economics, Elsevier, vol. 108(C), pages 1-1.
    12. David Albouy, 2016. "What Are Cities Worth? Land Rents, Local Productivity, and the Total Value of Amenities," The Review of Economics and Statistics, MIT Press, vol. 98(3), pages 477-487, July.
    13. Douglas J. Krupka & Kwame N. Donaldson, 2013. "Wages, Rents, And Heterogeneous Moving Costs," Economic Inquiry, Western Economic Association International, vol. 51(1), pages 844-864, January.
    14. Daniel A. Broxterman & Chun Kuang, 2019. "A revealed preference index of urban amenities: Using travel demand as a proxy," Journal of Regional Science, Wiley Blackwell, vol. 59(3), pages 508-537, June.
    15. Yoshiaki Ushifusa & Akinori Tomohara, 2013. "Productivity and Labor Density: Agglomeration Effects over Time," Atlantic Economic Journal, Springer;International Atlantic Economic Society, vol. 41(2), pages 123-132, June.
    16. Xiaoping Zhou & Zhenyang Qin & Yingjie Zhang & Linyi Zhao & Yan Song, 2019. "Quantitative Estimation and Spatiotemporal Characteristic Analysis of Price Deviation in China's Housing Market," Sustainability, MDPI, vol. 11(24), pages 1-28, December.
    17. Rebecca Diamond, 2017. "Housing Supply Elasticity and Rent Extraction by State and Local Governments," American Economic Journal: Economic Policy, American Economic Association, vol. 9(1), pages 74-111, February.
    18. Song, Yan & Knaap, Gerrit-Jan, 2003. "New urbanism and housing values: a disaggregate assessment," Journal of Urban Economics, Elsevier, vol. 54(2), pages 218-238, September.
    19. Ross, Stephen & Yinger, John, 1999. "Sorting and voting: A review of the literature on urban public finance," Handbook of Regional and Urban Economics, in: P. C. Cheshire & E. S. Mills (ed.), Handbook of Regional and Urban Economics, edition 1, volume 3, chapter 47, pages 2001-2060, Elsevier.
    20. Liu, Tian & Hu, Weiyan & Song, Yan & Zhang, Anlu, 2020. "Exploring spillover effects of ecological lands: A spatial multilevel hedonic price model of the housing market in Wuhan, China," Ecological Economics, Elsevier, vol. 170(C).
    Full references (including those not matched with items on IDEAS)

    Citations

    Citations are extracted by the CitEc Project, subscribe to its RSS feed for this item.
    as


    Cited by:

    1. Min Liu & Xiaoma Li & Ding Song & Hui Zhai, 2021. "Evaluation and Monitoring of Urban Public Greenspace Planning Using Landscape Metrics in Kunming," Sustainability, MDPI, vol. 13(7), pages 1-20, March.

    Most related items

    These are the items that most often cite the same works as this one and are cited by the same works as this one.
    1. Zhang, Yingjie & Zhang, Tianzheng & Zeng, Yingxiang & Cheng, Baodong & Li, Hongxun, 2021. "Designating National Forest Cities in China: Does the policy improve the urban living environment?," Forest Policy and Economics, Elsevier, vol. 125(C).
    2. David M. Brasington, 2017. "What types of people sort to which public services?," Papers in Regional Science, Wiley Blackwell, vol. 96(3), pages 537-553, August.
    3. 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.
    4. Christian A. L. Hilber, 2017. "The Economic Implications of House Price Capitalization: A Synthesis," Real Estate Economics, American Real Estate and Urban Economics Association, vol. 45(2), pages 301-339, April.
    5. Christoph Basten & Maximilian von Ehrlich & Andrea Lassmann, 2014. "Income Taxes, Sorting, and the Costs of Housing," KOF Working papers 14-362, KOF Swiss Economic Institute, ETH Zurich.
    6. Byron F. Lutz, 2009. "Fiscal amenities, school finance reform and the supply side of the Tiebout market," Finance and Economics Discussion Series 2009-18, Board of Governors of the Federal Reserve System (U.S.).
    7. Stadelmann, David, 2010. "Which factors capitalize into house prices? A Bayesian averaging approach," Journal of Housing Economics, Elsevier, vol. 19(3), pages 180-204, September.
    8. Isaiah Hull & Anna Grodecka-Messi, 2022. "Measuring the Impact of Taxes and Public Services on Property Values: A Double Machine Learning Approach," Papers 2203.14751, arXiv.org.
    9. Yong Chen & David J. Lewis & Bruce Weber, 2021. "Natural amenities and skill sorting in rural communities: a case study of land conservation policy," The Annals of Regional Science, Springer;Western Regional Science Association, vol. 67(3), pages 649-669, December.
    10. John I. Carruthers & David E. Clark, 2010. "Valuing Environmental Quality: A Space‐Based Strategy," Journal of Regional Science, Wiley Blackwell, vol. 50(4), pages 801-832, October.
    11. Gabriel Loumeau & Christian Stettler, 2021. "Fiscal Autonomy and Self-Determination," CESifo Working Paper Series 9445, CESifo.
    12. John Yinger, 2009. "Hedonic Markets and Explicit Demands: Bid-Function Envelopes for Public Services, Neighborhood Amenities, and Commuting Costs," Center for Policy Research Working Papers 114, Center for Policy Research, Maxwell School, Syracuse University.
    13. Christoph Basten & Maximilian Ehrlich & Andrea Lassmann, 2017. "Income Taxes, Sorting and the Costs of Housing: Evidence from Municipal Boundaries in Switzerland," Economic Journal, Royal Economic Society, vol. 0(601), pages 653-687, May.
    14. Cuberes, David & Roberts, Jennifer & Sechel, Cristina, 2019. "Household location in English cities," Regional Science and Urban Economics, Elsevier, vol. 75(C), pages 120-135.
    15. Joséphine Leuba, 2019. "Natural amenities and the spatial distribution of Swiss income," IRENE Working Papers 19-04, IRENE Institute of Economic Research.
    16. Hilber, Christian A. L., 2011. "The economics implications of house price capitalization a survey of an emerging literature," LSE Research Online Documents on Economics 58596, London School of Economics and Political Science, LSE Library.
    17. Calcagno, Peter T. & Hall, Joshua C. & Lawson, Robert A., 2010. "Objectivism versus subjectivism: A market test," Journal of Economic Behavior & Organization, Elsevier, vol. 76(2), pages 445-448, November.
    18. Liv Osland & Inge Thorsen, 2013. "Spatial Impacts, Local Labour Market Characteristics and Housing Prices," Urban Studies, Urban Studies Journal Limited, vol. 50(10), pages 2063-2083, August.
    19. George R. Zodrow, 2019. "Intrajurisdictional Capitalization and the Incidence of the Property Tax," World Scientific Book Chapters, in: George R Zodrow (ed.), TAXATION IN THEORY AND PRACTICE Selected Essays of George R. Zodrow, chapter 16, pages 489-522, World Scientific Publishing Co. Pte. Ltd..
    20. Sung Hoon Kang & Mark Skidmore & Laura Reese, 2015. "The Effects of Changes in Property Tax Rates and School Spending on Residential and Business Property Value Growth," Real Estate Economics, American Real Estate and Urban Economics Association, vol. 43(2), pages 300-333, June.

    Corrections

    All material on this site has been provided by the respective publishers and authors. You can help correct errors and omissions. When requesting a correction, please mention this item's handle: RePEc:gam:jsusta:v:12:y:2020:i:22:p:9384-:d:443405. See general information about how to correct material in RePEc.

    If you have authored this item and are not yet registered with RePEc, we encourage you to do it here. This allows to link your profile to this item. It also allows you to accept potential citations to this item that we are uncertain about.

    If CitEc recognized a bibliographic reference but did not link an item in RePEc to it, you can help with this form .

    If you know of missing items citing this one, you can help us creating those links by adding the relevant references in the same way as above, for each refering item. If you are a registered author of this item, you may also want to check the "citations" tab in your RePEc Author Service profile, as there may be some citations waiting for confirmation.

    For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: MDPI Indexing Manager (email available below). General contact details of provider: https://www.mdpi.com .

    Please note that corrections may take a couple of weeks to filter through the various RePEc services.

    IDEAS is a RePEc service. RePEc uses bibliographic data supplied by the respective publishers.