Latent Class Modelling for a Robust Assessment of Productivity: Application to French Grazing Livestock Farms

Modélisation des classes latentes pour une évaluation robuste de la productivité: Application aux exploitations françaises d'élevage herbager

K Hervé Dakpo (), Laure Latruffe, Yann Desjeux and Philippe Jeanneaux ()
Additional contact information
K Hervé Dakpo: ECO-PUB - Economie Publique - AgroParisTech - Université Paris-Saclay - INRAE - Institut National de Recherche pour l’Agriculture, l’Alimentation et l’Environnement, D-ERDW - Department of Earth Sciences [Swiss Federal Institute of Technology - ETH Zürich] - ETH Zürich - Eidgenössische Technische Hochschule - Swiss Federal Institute of Technology [Zürich]
Philippe Jeanneaux: VAS - VetAgro Sup - Institut national d'enseignement supérieur et de recherche en alimentation, santé animale, sciences agronomiques et de l'environnement, Territoires - Territoires - AgroParisTech - VAS - VetAgro Sup - Institut national d'enseignement supérieur et de recherche en alimentation, santé animale, sciences agronomiques et de l'environnement - INRAE - Institut National de Recherche pour l’Agriculture, l’Alimentation et l’Environnement - UCA - Université Clermont Auvergne

Post-Print from HAL

Abstract: Our objective is to extend the latent class stochastic frontier (LCSFM) model to compute productivity change, using the robust transitive productivity Fare-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.

Keywords: Efficiency; Färe-Primont; France; Grazing livestock farms; Latent class stochastic frontier; Productivity (search for similar items in EconPapers)
Date: 2021
New Economics Papers: this item is included in nep-agr, nep-eff and nep-isf
Note: View the original document on HAL open archive server: https://hal.inrae.fr/hal-03280138v1
References: View references in EconPapers View complete reference list from CitEc
Citations: View citations in EconPapers (7)

Published in Journal of Agricultural Economics, 2021, 72 (3), pp.760-781. ⟨10.1111/1477-9552.12422⟩

Downloads: (external link)
https://hal.inrae.fr/hal-03280138v1/document (application/pdf)

Related works:
Journal Article: Latent Class Modelling for a Robust Assessment of Productivity: Application to French Grazing Livestock Farms (2021)
This item may be available elsewhere in EconPapers: Search for items with the same title.

Export reference: BibTeX RIS (EndNote, ProCite, RefMan) HTML/Text

Persistent link: https://EconPapers.repec.org/RePEc:hal:journl:hal-03280138

DOI: 10.1111/1477-9552.12422

Access Statistics for this paper

More papers in Post-Print from HAL
Bibliographic data for series maintained by CCSD ().