Revenus, marchés et anticipations : la dynamique de l'offre agricole

One main limit of linear programming models is that all the parameters (prices, yields, input-output coefficients) are supposed known with certainty. There, this assumption is relaxed to take in account the risk attitude of the farmers. The risk is measured by the mean absolute deviation like in the MOTAD method. MOTAD approximation is generalised to problems where all parameters are stochastic. A new formulation is used to model the behaviour of polycultural farms with reference to milk production in the Forez region.

Publication Details

Journal
AgEcon Search (University of Minnesota, USA)
Published
2025-01-01
DOI
https://doi.org/10.22004/ag.econ.351899
Primary Topic
Agricultural risk and resilience
Type
article
Field-Weighted Citation Impact
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article

Revenus, marchés et anticipations : la dynamique de l'offre agricole

AgEcon Search (University of Minnesota, USA)
Agricultural risk and resilience
article

Revenus, marchés et anticipations : la dynamique de l'offre agricole

article en

Abstract

One main limit of linear programming models is that all the parameters (prices, yields, input-output coefficients) are supposed known with certainty. There, this assumption is relaxed to take in account the risk attitude of the farmers. The risk is measured by the mean absolute deviation like in the MOTAD method. MOTAD approximation is generalised to problems where all parameters are stochastic. A new formulation is used to model the behaviour of polycultural farms with reference to milk production in the Forez region.

AgEcon Search (University of Minnesota, USA)
Openalex Percentile: Top 45%
Agricultural risk and resilience
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Revenus, marchés et anticipations : la dynamique de l'offre agricole · AgEcon Search (University of Minnesota, USA) (2025) | TGRS Research Map | TGRS