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Author |
Peeters, L.; Schreurs, E.; Van Passel, S. |
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Title |
Heterogeneous impact of soil contamination on farmland prices in the Belgian Campine region : evidence from unconditional quantile regressions |
Type |
A1 Journal article |
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Year |
2017 |
Publication |
Environmental & Resource Economics |
Abbreviated Journal |
Environ Resour Econ |
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Volume |
66 |
Issue |
1 |
Pages |
135-168 |
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Keywords |
A1 Journal article; Economics; Engineering Management (ENM) |
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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. |
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Wos |
000391511800007 |
Publication Date |
2015-08-03 |
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ISSN |
0924-6460 |
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Additional Links |
UA library record; WoS full record; WoS citing articles |
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Impact Factor |
1.582 |
Times cited |
4 |
Open Access |
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Notes |
; ; |
Approved |
Most recent IF: 1.582 |
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Call Number |
UA @ admin @ c:irua:139029 |
Serial |
6208 |
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Permanent link to this record |
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Author |
Van Passel, S.; Massetti, E.; Mendelsohn, R. |
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Title |
A Ricardian analysis of the impact of climate change on European agriculture |
Type |
A1 Journal article |
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Year |
2017 |
Publication |
Environmental & Resource Economics |
Abbreviated Journal |
Environ Resour Econ |
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Volume |
67 |
Issue |
4 |
Pages |
725-760 |
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Keywords |
A1 Journal article; Economics; Engineering Management (ENM) |
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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. |
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Wos |
000408358900005 |
Publication Date |
2016-03-05 |
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Abbreviated Series Title |
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Series Volume |
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Series Issue |
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Edition |
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ISSN |
0924-6460 |
ISBN |
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Additional Links |
UA library record; WoS full record; WoS citing articles |
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Impact Factor |
1.582 |
Times cited |
15 |
Open Access |
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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 |
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Call Number |
UA @ admin @ c:irua:139041 |
Serial |
6246 |
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Permanent link to this record |