Mostrar el registro sencillo del ítem
Latent Class Modelling for a Robust Assessment of Productivity: Application to French Grazing Livestock Farms
| dc.rights.license | open | en_US |
| dc.contributor.author | DAKPO, K. Hervé | |
| hal.structure.identifier | Groupe de Recherche en Economie Théorique et Appliquée [GREThA] | |
| dc.contributor.author | LATRUFFE, Laure | |
| hal.structure.identifier | Groupe de Recherche en Economie Théorique et Appliquée [GREThA] | |
| dc.contributor.author | DESJEUX, Yann | |
| dc.contributor.author | JEANNEAUX, Philippe | |
| dc.date.accessioned | 2022-02-22T16:50:14Z | |
| dc.date.available | 2022-02-22T16:50:14Z | |
| dc.date.issued | 2021 | |
| dc.identifier.issn | 0021-857X | en_US |
| dc.identifier.other | https://onlinelibrary.wiley.com/action/downloadSupplement?doi=10.1111%2F1477-9552.12422&file=jage12422-sup-0001-AppendixS1.docx | en_US |
| dc.identifier.uri | oai:crossref.org:10.1111/1477-9552.12422 | |
| dc.identifier.uri | https://oskar-bordeaux.fr/handle/20.500.12278/128751 | |
| dc.description.abstractEn | Our objective is to extend the latent class stochastic frontier (LCSFM) model to compute productivity change, using the robust transitive productivity Färe-Primont index. The application is to three types of grazing livestock farms in France over the period 2002–2016. The LCSFM identified two classes of farms, intensive farms and extensive farms. Results indicate that productivity change and its components show only small differences between the LCSFM and the pooled model that does not account for heterogeneity. Differences across classes exist, but depend on farm type. | |
| dc.description.sponsorship | Développement et construction d'un Centre d'Accès Sécurisé Distant aux données confidentielles (CASD) pour la recherche française en sciences sociales et en économie. - ANR-10-EQPX-0017 | en_US |
| dc.language.iso | EN | en_US |
| dc.rights | Attribution-NoDerivs 3.0 United States | * |
| dc.rights.uri | http://creativecommons.org/licenses/by-nd/3.0/us/ | * |
| dc.source | crossref | |
| dc.subject.en | Efficiency | |
| dc.subject.en | Färe-Primont | |
| dc.subject.en | France | |
| dc.subject.en | grazing livestock farms | |
| dc.subject.en | latent class stochastic frontier | |
| dc.subject.en | productivity | |
| dc.title.en | Latent Class Modelling for a Robust Assessment of Productivity: Application to French Grazing Livestock Farms | |
| dc.type | Article de revue | en_US |
| dc.identifier.doi | 10.1111/1477-9552.12422 | en_US |
| dc.subject.hal | Économie et finance quantitative [q-fin] | en_US |
| dc.subject.jel | C - Mathematical and Quantitative Methods::C0 - General::C01 - Econometrics | 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::Q1 - Agriculture::Q12 - Micro Analysis of Farm Firms, Farm Households, and Farm Input Markets | en_US |
| bordeaux.journal | Journal of Agricultural Economics | en_US |
| bordeaux.page | 760-780 | en_US |
| bordeaux.volume | 72 | en_US |
| bordeaux.hal.laboratories | Groupe de Recherche en Economie Théorique et Appliquée (GREThA) - UMR 5113 | en_US |
| bordeaux.issue | 3 | en_US |
| bordeaux.institution | Université de Bordeaux | en_US |
| bordeaux.institution | CNRS | en_US |
| bordeaux.peerReviewed | oui | en_US |
| bordeaux.inpress | non | en_US |
| bordeaux.import.source | dissemin | |
| hal.identifier | hal-03280138 | |
| hal.version | 1 | |
| hal.export | true | |
| workflow.import.source | dissemin | |
| dc.rights.cc | CC BY-NC-ND | en_US |
| bordeaux.COinS | ctx_ver=Z39.88-2004&rft_val_fmt=info:ofi/fmt:kev:mtx:journal&rft.jtitle=Journal%20of%20Agricultural%20Economics&rft.date=2021&rft.volume=72&rft.issue=3&rft.spage=760-780&rft.epage=760-780&rft.eissn=0021-857X&rft.issn=0021-857X&rft.au=DAKPO,%20K.%20Herv%C3%A9&LATRUFFE,%20Laure&DESJEUX,%20Yann&JEANNEAUX,%20Philippe&rft.genre=article |
