Cost of abating excess nitrogen on wheat plots in France: An assessment with multi‐technology modelling
dc.rights.license | open | en_US |
dc.contributor.author | DAKPO, K. Hervé | |
hal.structure.identifier | Bordeaux Sciences Economiques [BSE] | |
dc.contributor.author | DESJEUX, Yann | |
hal.structure.identifier | Bordeaux Sciences Economiques [BSE] | |
dc.contributor.author | LATRUFFE, Laure | |
dc.date.accessioned | 2023-09-21T14:59:31Z | |
dc.date.available | 2023-09-21T14:59:31Z | |
dc.date.issued | 2023-02-27 | |
dc.identifier.issn | 0021-857X | en_US |
dc.identifier.uri | oai:crossref.org:10.1111/1477-9552.12534 | |
dc.identifier.uri | https://oskar-bordeaux.fr/handle/20.500.12278/183761 | |
dc.description.abstractEn | AbstractWe use a multi‐equation model of polluting technologies to evaluate excess nitrogen's marginal abatement cost (MAC). The MAC is estimated using the convex non‐parametric quantile regression. The empirical application is conducted at the plot level for wheat production in France in 2017. Results show a median shadow price for excess nitrogen of about €21 per kilogram. If the current European Union's Nitrates Directive (which sets a 170‐kg constraint on organic nitrogen per hectare) were extended to mineral nitrogen, this would allow a reduction of total excess nitrogen by 9.5%, but this would be accompanied by a 3.1% decrease in wheat revenue. | |
dc.language.iso | EN | en_US |
dc.rights | Attribution 3.0 United States | * |
dc.rights.uri | http://creativecommons.org/licenses/by/3.0/us/ | * |
dc.source | crossref | |
dc.subject | Multi-equation | |
dc.subject.en | Convex quantile | |
dc.subject.en | Excess nitrogen | |
dc.subject.en | Marginal abatement cost | |
dc.subject.en | Shadow price | |
dc.title.en | Cost of abating excess nitrogen on wheat plots in France: An assessment with multi‐technology modelling | |
dc.type | Article de revue | en_US |
dc.identifier.doi | 10.1111/1477-9552.12534 | en_US |
dc.subject.hal | Sciences de l'Homme et Société/Economies et finances | en_US |
dc.description.sponsorshipEurope | Low-Input Farming and Territories – Integrating knowledge for improving ecosystem-based farming | en_US |
dc.subject.jel | C - Mathematical and Quantitative Methods::C6 - Mathematical Methods; Programming Models; Mathematical and Simulation Modeling::C61 - Optimization Techniques; Programming Models; Dynamic Analysis | en_US |
dc.subject.jel | D - Microeconomics::D2 - Production and Organizations::D24 - Production; Cost; Capital; Capital, Total Factor, and Multifactor Productivity; Capacity | en_US |
dc.subject.jel | Q - Agricultural and Natural Resource Economics; Environmental and Ecological Economics::Q5 - Environmental Economics::Q51 - Valuation of Environmental Effects | en_US |
bordeaux.journal | Journal of Agricultural Economics | en_US |
bordeaux.page | 800-815 | en_US |
bordeaux.volume | 74 | en_US |
bordeaux.hal.laboratories | Bordeaux Sciences Economiques / Bordeaux School of Economics (BSE) - UMR 6060 | en_US |
bordeaux.issue | 3 | en_US |
bordeaux.institution | Université de Bordeaux | en_US |
bordeaux.institution | CNRS | |
bordeaux.institution | INRAE | |
bordeaux.peerReviewed | oui | en_US |
bordeaux.inpress | non | en_US |
bordeaux.import.source | dissemin | |
hal.popular | non | en_US |
hal.audience | Internationale | en_US |
hal.export | false | |
workflow.import.source | dissemin | |
dc.rights.cc | CC BY | en_US |
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