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

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  • 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.

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  • 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
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    References listed on IDEAS

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    1. Liangjun Su & Zhenlin Yang, 2007. "Instrumental Variable Quantile Estimation of Spatial Autoregressive Models," Development Economics Working Papers 22476, East Asian Bureau of Economic Research.
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    1. 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.
    2. Łaszkiewicz, 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).
    3. 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.
    4. 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.
    5. 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.
    6. 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).
    7. 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.
    8. 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.
    9. 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.
    10. 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.
    11. 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.
    12. 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).
    13. 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.

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