IDEAS home Printed from https://ideas.repec.org/p/hub/wpecon/201119.html
   My bibliography  Save this paper

Hedonic valuation of odor nuisance using field measurements, a case study of an animal waste processing facility in Flanders

Author

Listed:
  • Eyckmans, Johan

    () (Hogeschool-Universiteit Brussel (HUB), Belgium)

  • De Jaeger, Simon

    () (Hogeschool-Universiteit Brussel (HUB), Belgium)

  • Rousseau, Sandra

    () (Hogeschool-Universiteit Brussel (HUB), Belgium)

Abstract

In this paper we estimate the external cost caused by odor from an animal waste processing facility in Flanders using new odor measures based on field measurements. We compare three different ways of incorporating odor nuisance indicators into the model: distance to the odor source, continuous odor measures, and a dummy variable approach comparable to the standard procedure in hedonic price analysis of noise pollution. We argue that the dummy variable approach is best suited to estimate the external costs and we test these specifications for a dataset of about 1400 observations of house sales transaction between 2004 and 2008. Results show that houses subject to moderate and severe odor nuisance sell at a discount of about 5% and 12% respectively compared to houses without odor nuisance. The overall capitalized external cost of the odor exposure for the area of the case study was estimated to range between 6 and 56 million euro, with a central estimate of about 31 million euro. This estimate proves to be very stable over different model specifications. Compared to 1991, the external cost has almost been cut by half as a result of odor emission reducing measures taken by the facility.

Suggested Citation

  • Eyckmans, Johan & De Jaeger, Simon & Rousseau, Sandra, 2011. "Hedonic valuation of odor nuisance using field measurements, a case study of an animal waste processing facility in Flanders," Working Papers 2011/19, Hogeschool-Universiteit Brussel, Faculteit Economie en Management.
  • Handle: RePEc:hub:wpecon:201119
    as

    Download full text from publisher

    File URL: https://lirias.hubrussel.be/bitstream/123456789/5116/3/11HRP19.pdf
    File Function: second version
    Download Restriction: no

    Other versions of this item:

    References listed on IDEAS

    as
    1. Göran Therborn & K.C. Ho, 2009. "Introduction," City, Taylor & Francis Journals, vol. 13(1), pages 53-62, March.
    2. V. Smith & Ju Huang, 1993. "Hedonic models and air pollution: Twenty-five years and counting," Environmental & Resource Economics, Springer;European Association of Environmental and Resource Economists, vol. 3(4), pages 381-394, August.
    3. Jeffrey P. Cohen & Cletus C. Coughlin, 2008. "Spatial Hedonic Models Of Airport Noise, Proximity, And Housing Prices," Journal of Regional Science, Wiley Blackwell, vol. 48(5), pages 859-878.
    4. Joseph A. Herriges & Silvia Secchik & JBruce A. Babcock, 2005. "Living with Hogs in Iowa: The Impact of Livestock Facilities on Rural Residential Property Values," Land Economics, University of Wisconsin Press, vol. 81(4).
    5. Raymond B. Palmquist & Fritz M. Roka & Tomislav Vukina, 1997. "Hog Operations, Environmental Effects, and Residential Property Values," Land Economics, University of Wisconsin Press, vol. 73(1), pages 114-124.
    6. Arthur C. Nelson & John Genereux & Michelle Genereux, 1992. "Price Effects of Landfills on House Values," Land Economics, University of Wisconsin Press, vol. 68(4), pages 359-365.
    7. Palmquist, Raymond B., 2006. "Property Value Models," Handbook of Environmental Economics,in: K. G. Mäler & J. R. Vincent (ed.), Handbook of Environmental Economics, edition 1, volume 2, chapter 16, pages 763-819 Elsevier.
    8. Henrik Andersson & Lina Jonsson & Mikael Ögren, 2010. "Property Prices and Exposure to Multiple Noise Sources: Hedonic Regression with Road and Railway Noise," Environmental & Resource Economics, Springer;European Association of Environmental and Resource Economists, vol. 45(1), pages 73-89, January.
    9. Brett Day & Ian Bateman & Iain Lake, 2007. "Beyond implicit prices: recovering theoretically consistent and transferable values for noise avoidance from a hedonic property price model," Environmental & Resource Economics, Springer;European Association of Environmental and Resource Economists, vol. 37(1), pages 211-232, May.
    10. 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..
    11. Jean-Daniel Saphores & Ismael Aguilar-Benitez, 2005. "Smelly local polluters and residential property values: A hedonic analysis of four Orange County (California) cities," Estudios Económicos, El Colegio de México, Centro de Estudios Económicos, vol. 20(2), pages 197-218.
    12. J. Barkley Rosser, 2009. "Introduction," Chapters,in: Handbook of Research on Complexity, chapter 1 Edward Elgar Publishing.
    13. Halvorsen, Robert & Palmquist, Raymond, 1980. "The Interpretation of Dummy Variables in Semilogarithmic Equations," American Economic Review, American Economic Association, vol. 70(3), pages 474-475, June.
    14. Jan K. Brueckner, 2003. "Strategic Interaction Among Governments: An Overview of Empirical Studies," International Regional Science Review, , vol. 26(2), pages 175-188, April.
    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. Dupraz, P. & Osseni, A. & Bareille, F., 2018. "Assessing the direct and indirect impacts of breeding activities on residential values: a spatial hedonic approach in Brittany," 2018 Conference, July 28-August 2, 2018, Vancouver, British Columbia 276994, International Association of Agricultural Economists.

    More about this item

    Keywords

    valuation of environmental externalities; odor nuisance; hedonic price method; spatial econometrics;

    JEL classification:

    • C31 - Mathematical and Quantitative Methods - - Multiple or Simultaneous Equation Models; Multiple Variables - - - Cross-Sectional Models; Spatial Models; Treatment Effect Models; Quantile Regressions; Social Interaction Models
    • Q25 - Agricultural and Natural Resource Economics; Environmental and Ecological Economics - - Renewable Resources and Conservation - - - Water
    • R52 - Urban, Rural, Regional, Real Estate, and Transportation Economics - - Regional Government Analysis - - - Land Use and Other Regulations

    NEP fields

    This paper has been announced in the following NEP Reports:

    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:hub:wpecon:201119. 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: (Sabine Janssens). General contact details of provider: http://edirc.repec.org/data/emhubbe.html .

    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 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.

    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.