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Analyzing the impacts of soil contamination and urban development pressure on farmland values: Unconditional quantile regression estimation

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  • Schreurs, Eloi
  • Peeters, Ludo
  • Van Passel, Steven

Abstract

We examine several determinants of farmland values in the Campine region (Belgium) using data on individual sales transactions. Since the study area is well known to have a legacy of heavy-metal pollution of land, one of the focal points is the implicit price of cadmium (Cd) pollution. We use a hedonic pricing model, applying both mean regression (OLS) and quantile regression (QR). Unlike previous hedonic studies using QR, we use unconditional QR (Firpo et al. 2009). The estimates obtained using UQR have a more intuitive interpretation than those obtained using standard (conditional) QR, and allow for less ambiguous comparisons with their OLS counterparts. We find only moderate evidence of price discounts in the middle (median) price range due to Cd contamination. On the other hand, we find that farmland values are strongly affected by the development potential of agricultural land due to urban pressure.

Suggested Citation

  • Schreurs, Eloi & Peeters, Ludo & Van Passel, Steven, 2014. "Analyzing the impacts of soil contamination and urban development pressure on farmland values: Unconditional quantile regression estimation," 2014 International Congress, August 26-29, 2014, Ljubljana, Slovenia 182741, European Association of Agricultural Economists.
    • Handle: RePEc:ags:eaae14:182741
    DOI: 10.22004/ag.econ.182741
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    References listed on IDEAS

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    1. Javier Alejo & Maria Florencia Gabrielli & Walter Sosa-Escudero, 2014. "The Distributive Effects of Education: An Unconditional Quantile Regression Approach," Revista de Analisis Economico – Economic Analysis Review, Universidad Alberto Hurtado/School of Economics and Business, vol. 29(1), pages 53-76, April.
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