Dakpo K.H., Latruffe L., Desjeux Y., Jeanneaux P. (2021). Latent class modelling for a robust assessment of productivity: application to French grazing livestock farms. Journal of agricultural economics, 01/09/2021, vol. 72, n. 3, p. 760-781.
https://doi.org/10.1111/1477-9552.12422
https://doi.org/10.1111/1477-9552.12422
Titre : | Latent class modelling for a robust assessment of productivity: application to French grazing livestock farms (2021) |
Auteurs : | K.H. Dakpo ; L. Latruffe ; Y. Desjeux ; P. Jeanneaux |
Type de document : | Article |
Dans : | Journal of agricultural economics (vol. 72, n. 3, September 2021) |
Article en page(s) : | p. 760-781 |
Langues : | Anglais |
Langues du résumé : | Anglais |
Catégories : |
Catégories principales 06 - AGRICULTURE. FORÊTS. PÊCHES ; 6.4 - Production Agricole. Système de ProductionThésaurus IAMM PRODUCTIVITE ; ELEVAGE ; CONDUITE DES HERBAGES ; EXPLOITATION AGRICOLE ; AGRICULTURE INTENSIVE ; AGRICULTURE EXTENSIVE ; MODELE DE SIMULATION ; MODELE STOCHASTIQUE ; FRANCE |
Résumé : | 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 20022016. 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. |
Cote : | En ligne |
URL / DOI : | https://doi.org/10.1111/1477-9552.12422 |