IDEAS home Printed from https://ideas.repec.org/a/eee/ecolec/v186y2021ics0921800921001257.html
   My bibliography  Save this article

Valuing urban green amenities with an inequality lens

Author

Listed:
  • Stromberg, Per M.
  • Öhrner, Erik
  • Brockwell, Erik
  • Liu, Zhaoyang

Abstract

Considering rapid urbanization worldwide, concern is growing that the resulting loss of green space affects welfare negatively. This study assesses how implicit prices of green amenities differ across apartments in different price groups to assess distributional impact of urban green amenities. Additionally, the paper proposes adjustments to enhance the standard hedonic model and increase comparability of estimates across study areas. Sales data for 6614 apartments in the suburbs of Stockholm, Sweden, an area that is relatively more prone to land conversion, were combined with GIS data on green urban areas and assessed in a simple log-linear model and quantile regression model. The results suggest that forested area even in a in a city with abundant green areas, have an impact on apartment prices. The price effect of green amenities differs strongly across both categories of ‘green area’ such as parks and forests, as well as, between the mean and the ends of the distribution of apartment prices. The proposed adjustments and results could be of use to other study areas.

Suggested Citation

  • Stromberg, Per M. & Öhrner, Erik & Brockwell, Erik & Liu, Zhaoyang, 2021. "Valuing urban green amenities with an inequality lens," Ecological Economics, Elsevier, vol. 186(C).
  • Handle: RePEc:eee:ecolec:v:186:y:2021:i:c:s0921800921001257
    DOI: 10.1016/j.ecolecon.2021.107067
    as

    Download full text from publisher

    File URL: http://www.sciencedirect.com/science/article/pii/S0921800921001257
    Download Restriction: Full text for ScienceDirect subscribers only

    File URL: https://libkey.io/10.1016/j.ecolecon.2021.107067?utm_source=ideas
    LibKey link: if access is restricted and if your library uses this service, LibKey will redirect you to where you can use your library subscription to access this item
    ---><---

    As the access to this document is restricted, you may want to search for a different version of it.

    References listed on IDEAS

    as
    1. Fisher, Brendan & Turner, R. Kerry & Morling, Paul, 2009. "Defining and classifying ecosystem services for decision making," Ecological Economics, Elsevier, vol. 68(3), pages 643-653, January.
    2. Mahmoudi, Parvin & MacDonald, Darla Hatton & Crossman, Neville D. & Summers, David M. & van der Hoek, John, 2013. "Space matters: the importance of amenity in planning metropolitan growth," Australian Journal of Agricultural and Resource Economics, Australian Agricultural and Resource Economics Society, vol. 57(1), pages 1-22.
    3. Fernandez, Linda & Cutter, Bowman & Sharma, Ritu & Scott, Tom, 2018. "Land preservation policy effect or neighborhood dynamics: A repeat sales hedonic matching approach," Journal of Environmental Economics and Management, Elsevier, vol. 88(C), pages 311-326.
    4. Belcher, Richard N. & Chisholm, Ryan A., 2018. "Tropical Vegetation and Residential Property Value: A Hedonic Pricing Analysis in Singapore," Ecological Economics, Elsevier, vol. 149(C), pages 149-159.
    5. Fernandez, Mario Andres & Bucaram, Santiago, 2019. "The changing face of environmental amenities: Heterogeneity across housing submarkets and time," Land Use Policy, Elsevier, vol. 83(C), pages 449-460.
    6. Grischa Perino & Barnaby Andrews & Andreas Kontoleon & Ian Bateman, 2014. "The Value of Urban Green Space in Britain: A Methodological Framework for Spatially Referenced Benefit Transfer," Environmental & Resource Economics, Springer;European Association of Environmental and Resource Economists, vol. 57(2), pages 251-272, February.
    7. Liao, Wen-Chi & Wang, Xizhu, 2012. "Hedonic house prices and spatial quantile regression," Journal of Housing Economics, Elsevier, vol. 21(1), pages 16-27.
    8. Pandit, Ram & Polyakov, Maksym & Sadler, Rohan, 2014. "Valuing public and private urban tree canopy cover," Australian Journal of Agricultural and Resource Economics, Australian Agricultural and Resource Economics Society, vol. 58(3), July.
    9. Rosen, Sherwin, 1974. "Hedonic Prices and Implicit Markets: Product Differentiation in Pure Competition," Journal of Political Economy, University of Chicago Press, vol. 82(1), pages 34-55, Jan.-Feb..
    10. Parente Paulo M.D.C. & Santos Silva João M.C., 2016. "Quantile Regression with Clustered Data," Journal of Econometric Methods, De Gruyter, vol. 5(1), pages 1-15, January.
    11. Tae-Hwan Kim & Christophe Muller, 2004. "Two-stage quantile regression when the first stage is based on quantile regression," Econometrics Journal, Royal Economic Society, vol. 7(1), pages 218-231, June.
    12. Sander, Heather & Polasky, Stephen & Haight, Robert G., 2010. "The value of urban tree cover: A hedonic property price model in Ramsey and Dakota Counties, Minnesota, USA," Ecological Economics, Elsevier, vol. 69(8), pages 1646-1656, June.
    13. Joachim Zietz & Emily Zietz & G. Sirmans, 2008. "Determinants of House Prices: A Quantile Regression Approach," The Journal of Real Estate Finance and Economics, Springer, vol. 37(4), pages 317-333, November.
    14. Chiara Cortinovis & Grazia Zulian & Davide Geneletti, 2018. "Assessing Nature-Based Recreation to Support Urban Green Infrastructure Planning in Trento (Italy)," Land, MDPI, Open Access Journal, vol. 7(4), pages 1-20, September.
    15. Koenker,Roger, 2005. "Quantile Regression," Cambridge Books, Cambridge University Press, number 9780521845731, October.
    16. Michiel N. Daams & Frans J. Sijtsma & Arno J. van der Vlist, 2016. "The Effect of Natural Space on Nearby Property Prices: Accounting for Perceived Attractiveness," Land Economics, University of Wisconsin Press, vol. 92(3), pages 389-410.
    17. Li, Youjuan & Liu, Yufeng & Zhu, Ji, 2007. "Quantile Regression in Reproducing Kernel Hilbert Spaces," Journal of the American Statistical Association, American Statistical Association, vol. 102, pages 255-268, March.
    18. Kelly C. Bishop & Nicolai V. Kuminoff & H. Spencer Banzhaf & Kevin J. Boyle & Kathrine von Gravenitz & Jaren C. Pope & V. Kerry Smith & Christopher D. Timmins, 2020. "Best Practices for Using Hedonic Property Value Models to Measure Willingness to Pay for Environmental Quality," Review of Environmental Economics and Policy, University of Chicago Press, vol. 14(2), pages 260-281.
    19. Parvin Mahmoudi & Darla Hatton MacDonald & Neville D. Crossman & David M. Summers & John van der Hoek, 2013. "Space matters: the importance of amenity in planning metropolitan growth," Australian Journal of Agricultural and Resource Economics, Australian Agricultural and Resource Economics Society, vol. 57(1), pages 38-59, January.
    20. Łaszkiewicz, Edyta & Czembrowski, Piotr & Kronenberg, Jakub, 2019. "Can proximity to urban green spaces be considered a luxury? Classifying a non-tradable good with the use of hedonic pricing method," Ecological Economics, Elsevier, vol. 161(C), pages 237-247.
    21. Abbott, Joshua K. & Klaiber, H. Allen, 2010. "Is all space created equal? Uncovering the relationship between competing land uses in subdivisions," Ecological Economics, Elsevier, vol. 70(2), pages 296-307, December.
    Full references (including those not matched with items on IDEAS)

    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. Bohman, Helena & Nilsson, Désirée, 2016. "The impact of regional commuter trains on property values: Price segments and income," Journal of Transport Geography, Elsevier, vol. 56(C), pages 102-109.
    2. Zhang, Lei & Leonard, Tammy, 2014. "Neighborhood impact of foreclosure: A quantile regression approach," Regional Science and Urban Economics, Elsevier, vol. 48(C), pages 133-143.
    3. Trojanek, Radoslaw & Huderek-Glapska, Sonia, 2018. "Measuring the noise cost of aviation – The association between the Limited Use Area around Warsaw Chopin Airport and property values," Journal of Air Transport Management, Elsevier, vol. 67(C), pages 103-114.
    4. McMillen, Daniel, 2015. "Conditionally parametric quantile regression for spatial data: An analysis of land values in early nineteenth century Chicago," Regional Science and Urban Economics, Elsevier, vol. 55(C), pages 28-38.
    5. Roberto Evangelio & Simon Hone & Moses Lee & David Prentice, 2019. "What Makes a Locality Attractive? Estimates of the Amenity Value of Parks for Victoria," Economic Papers, The Economic Society of Australia, vol. 38(3), pages 182-192, September.
    6. Nishi, Hayato & Asami, Yasushi & Shimizu, Chihiro, 2021. "The illusion of a hedonic price function: Nonparametric interpretable segmentation for hedonic inference," Journal of Housing Economics, Elsevier, vol. 52(C).
    7. James Yoo & Thomas Frederick, 2017. "The varying impact of land subsidence and earth fissures on residential property values in Maricopa County – a quantile regression approach," International Journal of Urban Sciences, Taylor & Francis Journals, vol. 21(2), pages 204-216, May.
    8. Pei-Ing Wu & Yi Chen & Je-Liang Liou, 2021. "Housing property along riverbanks in Taipei, Taiwan: a spatial quantile modelling of landscape benefits and flooding losses," Environment, Development and Sustainability: A Multidisciplinary Approach to the Theory and Practice of Sustainable Development, Springer, vol. 23(2), pages 2404-2438, February.
    9. Zambrano-Monserrate, Manuel A. & Ruano, María Alejandra & Yoong-Parraga, Cristina & Silva, Carlos A., 2021. "Urban green spaces and housing prices in developing countries: A Two-stage quantile spatial regression analysis," Forest Policy and Economics, Elsevier, vol. 125(C).
    10. Liao, Wen-Chi & Wang, Xizhu, 2012. "Hedonic house prices and spatial quantile regression," Journal of Housing Economics, Elsevier, vol. 21(1), pages 16-27.
    11. Zhang, Lei & Yi, Yimin, 2017. "Quantile house price indices in Beijing," Regional Science and Urban Economics, Elsevier, vol. 63(C), pages 85-96.
    12. Cathrine Ulla Jensen, 2016. "Households’ willingness to pay for access to outdoor recreation: An application of the house price method using spatial quantile regressions," IFRO Working Paper 2016/09, University of Copenhagen, Department of Food and Resource Economics.
    13. Raul-Tomas Mora-Garcia & Maria-Francisca Cespedes-Lopez & V. Raul Perez-Sanchez & Pablo Marti & Juan-Carlos Perez-Sanchez, 2019. "Determinants of the Price of Housing in the Province of Alicante (Spain): Analysis Using Quantile Regression," Sustainability, MDPI, Open Access Journal, vol. 11(2), pages 1-33, January.
    14. Mats Wilhelmsson, 2019. "Energy Performance Certificates and Its Capitalization in Housing Values in Sweden," Sustainability, MDPI, Open Access Journal, vol. 11(21), pages 1-16, November.
    15. Villar, Jaume García & Raya, Josep Maria, 2015. "Use of a Gini index to examine housing price heterogeneity: A quantile approach," Journal of Housing Economics, Elsevier, vol. 29(C), pages 59-71.
    16. Angelos Mimis & Antonis Rovolis & Marianthi Stamou, 2013. "Property valuation with artificial neural network: the case of Athens," Journal of Property Research, Taylor & Francis Journals, vol. 30(2), pages 128-143, June.
    17. Giuseppe Di Vita, 2018. "Institutional quality and the growth rates of the Italian regions: The costs of regulatory complexity," Papers in Regional Science, Wiley Blackwell, vol. 97(4), pages 1057-1081, November.
    18. Bernd Fitzenberger & Benjamin Fuchs, 2017. "The Residency Discount for Rents in Germany and the Tenancy Law Reform Act 2001: Evidence from Quantile Regressions," German Economic Review, Verein für Socialpolitik, vol. 18(2), pages 212-236, May.
    19. Liu, Sezhu & Hite, Diane, 2013. "Measuring the Effect of Green Space on Property Value: An Application of the Hedonic Spatial Quantile Regression," 2013 Annual Meeting, February 2-5, 2013, Orlando, Florida 143045, Southern Agricultural Economics Association.
    20. Joachim Zietz & Emily Zietz & G. Sirmans, 2008. "Determinants of House Prices: A Quantile Regression Approach," The Journal of Real Estate Finance and Economics, Springer, vol. 37(4), pages 317-333, November.

    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:eee:ecolec:v:186:y:2021:i:c:s0921800921001257. See general information about how to correct material in RePEc.

    For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: . General contact details of provider: http://www.elsevier.com/locate/ecolecon .

    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: Catherine Liu (email available below). General contact details of provider: http://www.elsevier.com/locate/ecolecon .

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

    IDEAS is a RePEc service hosted by the Research Division of the Federal Reserve Bank of St. Louis . RePEc uses bibliographic data supplied by the respective publishers.