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Gestion agricole [ LBIRA2104A ]


3.0 crédits ECTS  25.0 h + 7.5 h   2q 

Enseignant(s) Gaspart Frédéric ;
Langue
d'enseignement:
Français
Lieu de l'activité Louvain-la-Neuve
Ressources
en ligne

Icampus

Préalables

General skills for a bio-engineering bachelor, animal and vegetal productions, introductory management, micro-economics and introduction to game theory

Thèmes abordés

- Part 1 After an introduction on the agricultural production economy, the role of major production factors in the efficient management of agricultural firms is characterized. The mains tools for analysis and decision making are explained and used in practical exercises. The main agricultural and food branches are outlined. The development of the agricultural sector in Belgium and in Europe is analysed.

 

- Part 2 The course outlines, explains and compares various decision problems and decision-making tools within the unifying framework of game theory. It distinguishes (and shows the complementarities of) statistics and economic analysis. Complex decisions under uncertainty in situations with several interacting decision-makers are illustrated with relevant examples.

Acquis
d'apprentissage

a. Contribution de l'activité au référentiel AA (AA du programme)

1.1-1.5, 2.1-2.5 game theory, agency, farm management techniques

3.2-3.3 matching real situations with archetypal problems

3.4 solving mathematical models (game theory and operation research)

3.6-3.8 interpreting the results of abstract models (course+homeworks)

4.1-4.2 identifying typical problems in complex situations

4.4-4.7 drawing lessons from abstract models for complex, real situations

5.1-5.4 & 5.7 farm management techniques

5.8, 7.1 & 7.5 agency and contract theory (game theory)

6.2 & 6.6-6.7 homeworks

 

b. Formulation spécifique pour cette activité des AA du programme

 

At the end of the course, students will be able :

 

(Part 1)

- to identify and to compare specific characteristics of the major agricultural production factors from the viewpoint of economics and management.

- to understand and to use the mains decision-making tools available at the farm level and at the regional level.

- to analyse the structure, functioning and performance of the main agricultural production and agricultural branches.

- to apply the concepts and analysis techniques in supervised exercises.

 

(Part 2)

- to understand in depth various decision problems and decision-making tools commonly relied upon in fields relevant for the students.

- to formulate strategic (i.e. interactive) decision problems in a rigorous mathematical framework (game theory).

- to pick up adequate methods for solving multi-agents decision problems under uncertainty.

- to interpret the results of mathematical models of strategic interaction with a view to formulating practical recommandations for problem-solving.

Modes d'évaluation
des acquis des étudiants

Written exams, mainly exercises for both parts

Méthodes d'enseignement

Classes and homeworks

Contenu

Partim A

Introduction à l'économie de la production agricole

Techniques d'actualisation

Les principaux facteurs de production agricole: terre, bâtiments, travail, capital, consommations intermédiaires

Prise de décisions et analyses des données: budgets global et partiel, programmation linéaire et programme planning, analyses de groupe, factorielle et en composantes principales, analyse du risque

Les principales productions agricoles: les productions bovines, porcines et avicoles

Les principales filières agroalimentaires: les filières de la viande, les filières des produits laitiers, les filières des grandes cultures, les filières de l'alimentation animale, les filières horticoles, '

Problématique générale: l'impôt, l'analyse des prix, l'énergie, les pollutions d'origine agricole, l'alimentation animale, l'agriculture biologique.

 

Partim B

1. Elements of games in developped forms (including VNM utility)

2. Non-cooperative bargaining (the Rubinstein model and variants)

3. Agency (1) : moral hazard and boiling-in-oil contracts

4. Agency (2) : screening vs statistical discrimination

5. Agency (3) : signaling

Cycle et année
d'étude
> Master [120] bioingénieur : sciences agronomiques
Faculté ou entité
en charge
> AGRO


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