IDEAS home Printed from https://ideas.repec.org/a/taf/specan/v10y2015i3p317-343.html
   My bibliography  Save this article

Heterogeneity in Perceptions of Noise and Air Pollution: A Spatial Quantile Approach on the City of Madrid

Author

Listed:
  • Coro Chasco
  • Julie Le Gallo

Abstract

In this paper, we apply a hedonic housing price model to estimate the willingness to pay for less air pollution and noise in the city of Madrid. Using subjective data on the perception of air pollution and noise by the Madrid residents, we apply a quantile conditionally parametric model that allows one to quantify the heterogeneity of this willingness to pay values across quantiles of the conditional distributions of housing prices and their spatial heterogeneity across the whole study area. The results show that implicit prices for clean and quiet environment differ substantially across the housing markets, depending on the perceived intensity of pollution, accessibility to jobs and leisure, and some socioeconomic characteristics of the population. In particular, in some areas, households seem to make a trade-off between improvements in communication and some worsening in environmental conditions.

Suggested Citation

  • Coro Chasco & Julie Le Gallo, 2015. "Heterogeneity in Perceptions of Noise and Air Pollution: A Spatial Quantile Approach on the City of Madrid," Spatial Economic Analysis, Taylor & Francis Journals, vol. 10(3), pages 317-343, September.
  • Handle: RePEc:taf:specan:v:10:y:2015:i:3:p:317-343
    DOI: 10.1080/17421772.2015.1062127
    as

    Download full text from publisher

    File URL: http://hdl.handle.net/10.1080/17421772.2015.1062127
    Download Restriction: Access to full text is restricted to subscribers.

    File URL: https://libkey.io/10.1080/17421772.2015.1062127?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. Zhenlin Yang & Liangjun Su, 2007. "Instrumental Variable Quantile Estimation of Spatial Autoregressive Models," Working Papers 05-2007, Singapore Management University, School of Economics.
    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. Cordera, Ruben & Coppola, Pierluigi & dell'Olio, Luigi & Ibeas, Ángel, 2019. "The impact of accessibility by public transport on real estate values: A comparison between the cities of Rome and Santander," Transportation Research Part A: Policy and Practice, Elsevier, vol. 125(C), pages 308-319.
    2. Higgins, Christopher D. & Adams, Matthew D. & Réquia, Weeberb J. & Mohamed, Moataz, 2019. "Accessibility, air pollution, and congestion: Capturing spatial trade-offs from agglomeration in the property market," Land Use Policy, Elsevier, vol. 84(C), pages 177-191.
    3. Nathaly M. Rivera, 2020. "Is Mining an Environmental Disamenity? Evidence from Resource Extraction Site Openings," Environmental & Resource Economics, Springer;European Association of Environmental and Resource Economists, vol. 75(3), pages 485-528, March.
    4. 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.
    5. Yang, Linchuan & Chu, Xiaoling & Gou, Zhonghua & Yang, Hongtai & Lu, Yi & Huang, Wencheng, 2020. "Accessibility and proximity effects of bus rapid transit on housing prices: Heterogeneity across price quantiles and space," Journal of Transport Geography, Elsevier, vol. 88(C).
    6. Jose Torres-Pruñonosa & Pablo García-Estévez & Josep Maria Raya & Camilo Prado-Román, 2022. "How on Earth Did Spanish Banking Sell the Housing Stock?," SAGE Open, , vol. 12(1), pages 21582440221, March.
    7. Å aszkiewicz, Edyta & Heyman, Axel & Chen, Xianwen & Cimburova, Zofie & Nowell, Megan & Barton, David N, 2022. "Valuing access to urban greenspace using non-linear distance decay in hedonic property pricing," Ecosystem Services, Elsevier, vol. 53(C).
    8. Chao Zhang & Mimi Xiong & Xuehui Wei & Zongmin Lan, 2023. "Spatial heterogeneity of marginal willingness to pay for air quality in PM2.5: analysis of buyers’ housing price in Beijing through hedonic price, spatial regression, and quantile regression models," Asia-Pacific Journal of Regional Science, Springer, vol. 7(3), pages 697-720, September.
    9. Xian F. Bak & Geoffrey J. D. Hewings, 2019. "The heterogeneous spatial impact of foreclosures on nearby property values," The Annals of Regional Science, Springer;Western Regional Science Association, vol. 62(3), pages 439-466, June.
    10. Yi Fan & Ho Pin Teo & Wayne X. Wan, 2021. "Public transport, noise complaints, and housing: Evidence from sentiment analysis in Singapore," Journal of Regional Science, Wiley Blackwell, vol. 61(3), pages 570-596, June.
    11. Marilena Mironiuc & Elena Ionașcu & Maria Carmen Huian & Alina Țaran, 2021. "Reflecting the Sustainability Dimensions on the Residential Real Estate Prices," Sustainability, MDPI, vol. 13(5), pages 1-28, March.
    12. 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).
    13. Cordera, Ruben & Chiarazzo, Vincenza & Ottomanelli, Michele & dell’Olio, Luigi & Ibeas, Angel, 2019. "The impact of undesirable externalities on residential property values: spatial regressive models and an empirical study," Transport Policy, Elsevier, vol. 80(C), pages 177-187.

    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. Alfredo Cartone & Paolo Postiglione, 2016. "Modelli spaziali di regressione quantilica per l?analisi della convergenza economica regionale," RIVISTA DI ECONOMIA E STATISTICA DEL TERRITORIO, FrancoAngeli Editore, vol. 2016(3), pages 28-48.
    2. de Castro, Luciano & Galvao, Antonio F. & Kaplan, David M. & Liu, Xin, 2019. "Smoothed GMM for quantile models," Journal of Econometrics, Elsevier, vol. 213(1), pages 121-144.
    3. Stephen Matthews & Daniel M. Parker, 2013. "Progress in Spatial Demography," Demographic Research, Max Planck Institute for Demographic Research, Rostock, Germany, vol. 28(10), pages 271-312.
    4. Philip Kostov, 2009. "A Spatial Quantile Regression Hedonic Model of Agricultural Land Prices," Spatial Economic Analysis, Taylor & Francis Journals, vol. 4(1), pages 53-72.
    5. Bernardo Furtado & Frank van Oort, 2011. "Neighborhood weight matrix in a spatial-quantile real estate modeling environment: Evidence from Brazil," ERSA conference papers ersa10p424, European Regional Science Association.
    6. Weiguang Wang & Yangyang Wang, 2023. "Regional Differences, Dynamic Evolution and Driving Factors Analysis of PM 2.5 in the Yangtze River Economic Belt," Sustainability, MDPI, vol. 15(4), pages 1-24, February.
    7. Philip Kostov & Julie Le Gallo, 2015. "Convergence: A Story of Quantiles and Spillovers," Kyklos, Wiley Blackwell, vol. 68(4), pages 552-576, November.
    8. Philip Kostov, 2013. "Empirical likelihood estimation of the spatial quantile regression," Journal of Geographical Systems, Springer, vol. 15(1), pages 51-69, January.
    9. Marusca De Castris & Daniele Di Gennaro, 2018. "Does agricultural subsidies foster Italian southern farms? A Spatial Quantile Regression Approach," Papers 1803.05659, arXiv.org.
    10. Jiawei Hou & Yunquan Song, 2022. "Interquantile shrinkage in spatial additive autoregressive models," TEST: An Official Journal of the Spanish Society of Statistics and Operations Research, Springer;Sociedad de Estadística e Investigación Operativa, vol. 31(4), pages 1030-1057, December.
    11. He Jiang, 2023. "Robust forecasting in spatial autoregressive model with total variation regularization," Journal of Forecasting, John Wiley & Sons, Ltd., vol. 42(2), pages 195-211, March.
    12. Su, Liangjun, 2012. "Semiparametric GMM estimation of spatial autoregressive models," Journal of Econometrics, Elsevier, vol. 167(2), pages 543-560.
    13. Danqing Chen & Jianbao Chen & Shuangshuang Li, 2021. "Instrumental Variable Quantile Regression of Spatial Dynamic Durbin Panel Data Model with Fixed Effects," Mathematics, MDPI, vol. 9(24), pages 1-24, December.
    14. de Castro, Luciano & Galvao, Antonio F. & Kaplan, David M. & Liu, Xin, 2019. "Smoothed GMM for quantile models," Journal of Econometrics, Elsevier, vol. 213(1), pages 121-144.
    15. Liao, Wen-Chi & Wang, Xizhu, 2012. "Hedonic house prices and spatial quantile regression," Journal of Housing Economics, Elsevier, vol. 21(1), pages 16-27.

    More about this item

    Statistics

    Access and download statistics

    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:taf:specan:v:10:y:2015:i:3:p:317-343. 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: Chris Longhurst (email available below). General contact details of provider: http://www.tandfonline.com/RSEA20 .

    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.