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Author Van Passel, S.; Massetti, E.; Mendelsohn, R. pdf  url
doi  openurl
  Title A Ricardian analysis of the impact of climate change on European agriculture Type A1 Journal article
  Year (down) 2017 Publication Environmental & Resource Economics Abbreviated Journal Environ Resour Econ  
  Volume 67 Issue 4 Pages 725-760  
  Keywords A1 Journal article; Economics; Engineering Management (ENM)  
  Abstract This research estimates the impact of climate on European agriculture using a continental scale Ricardian analysis. Climate, soil, geography and regional socio-economic variables are matched with farm level data from 41,030 farms across Western Europe. We demonstrate that a median quantile regression outperforms OLS given farm level data. The results suggest that European farms are slightly more sensitive to warming than American farms with impacts from +5 to −32 % by 2100 depending on the climate scenario. Farms in Southern Europe are predicted to be particularly sensitive, suffering losses of −5 to −9 % per degree Celsius.  
  Address  
  Corporate Author Thesis  
  Publisher Place of Publication Editor  
  Language Wos 000408358900005 Publication Date 2016-03-05  
  Series Editor Series Title Abbreviated Series Title  
  Series Volume Series Issue Edition  
  ISSN 0924-6460 ISBN Additional Links UA library record; WoS full record; WoS citing articles  
  Impact Factor 1.582 Times cited 15 Open Access  
  Notes ; The authors would kindly want to express their gratitude towards DG AGRI for access to the Farm Accountancy Data Network (FADN). Steven Van Passel also thanks FWO for funding his research stay at Yale University. Steven Van Passel is also obliged to the OECD for awarding a fellowship of the co-operative research program `Biological Resource Management for Sustainable Agricultural Systems'. Emanuele Massetti gratefully acknowledges funding from the Marie Curie IOF Cli-EMA “Climate change impacts-Economic modelling and analysis”. ; Approved Most recent IF: 1.582  
  Call Number UA @ admin @ c:irua:139041 Serial 6246  
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Author Peeters, L.; Schreurs, E.; Van Passel, S. url  doi
openurl 
  Title Heterogeneous impact of soil contamination on farmland prices in the Belgian Campine region : evidence from unconditional quantile regressions Type A1 Journal article
  Year (down) 2017 Publication Environmental & Resource Economics Abbreviated Journal Environ Resour Econ  
  Volume 66 Issue 1 Pages 135-168  
  Keywords A1 Journal article; Economics; Engineering Management (ENM)  
  Abstract We estimate a hedonic-pricing model using geo-coded farmland-transaction data from the Campine region, situated in the north-east of Belgium. Unlike previous hedonic studies, we use the method of unconditional quantile regression (Firpo et al., in Econometrica 77(3):953973, 2009). An important advantage of this new method over the traditional conditional quantile regression (Koenker and Bassett, in Econometrica 46(1):3350, 1978) is that it allows for the estimation of potentially heterogeneous effects of cadmium pollution along the entire (unconditional) distribution of farmland prices. Using a threshold specification of the hedonic-pricing model, we find evidence of a U-shaped valuation pattern, where cadmium pollution of the soil has a negative and significant impact on prices only in the middle range of the distribution, insofar as cadmium concentrations are above the regulatory standard of 2 parts per million for agricultural land. Results obtained from a probit model to classify land plots into different price segments further suggest that the heterogeneous impact of soil pollution on price can be directly related to the variety of amenities that farmland provides.  
  Address  
  Corporate Author Thesis  
  Publisher Place of Publication Editor  
  Language Wos 000391511800007 Publication Date 2015-08-03  
  Series Editor Series Title Abbreviated Series Title  
  Series Volume Series Issue Edition  
  ISSN 0924-6460 ISBN Additional Links UA library record; WoS full record; WoS citing articles  
  Impact Factor 1.582 Times cited 4 Open Access  
  Notes ; ; Approved Most recent IF: 1.582  
  Call Number UA @ admin @ c:irua:139029 Serial 6208  
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