Activité 23 : Modèle “Lauragais” – Espérance / écart type

Length : around 30 minutes

Risk must be introduced as expectation-standard deviation. Based on the modelEco_lauragais1.gms solution model, or on the one you wrote in activity 20, add risk as expectation/standard deviation. The risk aversion coefficient is 1.

Click on “Start quiz” and answer the questions.

Reminder of the model statement :

A farm in the Lauragais, a region in south-western France, has 200 ha of farmland, 100 ha of which are irrigated. A farmer and her husband work on this farm, both are skilled workers.

The farmer sells her production via a local agricultural cooperative which is very involved in the production and marketing of seeds. It thus has the choice between two types of production : arable crops for the human or animal feed market and seed crops produced under contract with the cooperative. She can grow the following arable crops (for the human or animal feed market) : soft wheat, durum wheat, soya-bean and sunflower. As for seed crops, she can grow maize and vegetable crops : cucumber, cabbage, sugar beet, carrot, onion and parsley. Seed crops are much more profitable, but the quality requirements of the cooperative are very strict and certain years, climatic conditions do not make it possible to meet the quality required by the specifications. The price, which depends on quality, suffers the consequences. In some cases, the cooperative can turn down the entire harvest. The gross margin of this production is therefore equal to zero.

Seed crops require unskilled labour for the harvest. This work is entirely carried out by hired labour and must be supervised by a skilled worker (family-based or also hired). One skilled worker is needed to supervise 20 unskilled workers. A hired worker costs 11.1€/hour and a skilled worker 73.3€/hour. The fixed costs of the farm are 93293€. The farmer can rent land to her neighbours at a rate of 519€. Costs for each crop are divided into three types : operating costs excluding labour-force, specific costs, and the costs of hired labour. They are distributed as follows :

Operating costs excluding labour-force per crop (€/ha) Specific costs excluding labour-force per crop (€/ha) Unskilled labour per crop (€/ha) *
Durum wheat 379 488 0
Soft wheat 379 488 0
Sunflower 258 488 0
Soya-bean 777 488 0
Seed maize 1814 488 1332
Seed sugar beet 3369 1244 999
Seed cucumber 1175 1244 1332
Seed carrot 1743 1244 444
Seed onion 3964 1244 2220
Seed cabbage 3109 1244 2220
Seed parsley 826 1244 166.5

*This concerns the sum of the multiplications of unskilled labour needs (see following table) by the hourly rate of labour.

Crops do not require the same amount of labour every month of the year. Only arable crops call for skilled labour for mechanised tasks. Seed crops require significant amounts of unskilled labour during the harvest period. Labour needs are divided into skilled labour and non-skilled labour as follows :

Skilled labour needs per month, in hours and per hectare
MONTH M1 M2 M3 M4 M5 M6 M7 M8 M9 M10 M11 M12
Durum wheat 1 0.5 0.5 0.5 0.5 0 1.5 0 0.5 1.5 2.5 0.5
Soft wheat 1 0.5 0.5 0.5 0.5 0 1.5 0 0.5 1.5 2.5 0.5
Sunflower 0 1.5 1.5 2 1 0 0 0 0 0 2 0
Soya-bean 0 1.5 1.5 1 1.5 1.5 2 0.5 0 1 0 0
Seed maize 0 1 1 4.5 3 2 3.5 2 1 0 2 0
Unskilled labour needs per month, in hours and per hectare
MONTH M1 M2 M3 M4 M5 M6 M7 M8 M9 M10 M11 M12
Seed maize 0 0 0 0 0 0 0 120 0 0 0 0
Seed sugar-beet 50 0 5 5 5 5 5 5 5 5 0 0
Seed cucumber 0 0 0 0 5 5 5 5 0 100 0 0
Seed carrot 0 0 5 5 5 5 5 5 0 0 5 5
Seed onion 0 0 0 0 0 0 120 0 80 0 0 0
Seed cabbage 0 0 0 0 0 0 100 0 100 0 0 0
Seed parsley 0 0 5 5 5 0 0 0 0 0 0 0

The table below shows the yields in quintals per hectare for food crops and the gross proceeds in euros per hectare for seed crops over the last ten years. The yields vary over the years, and the gross proceeds of seed crops even more so.

Yields in quintals for cereal crops and in euros for seed crops
State of nature E1 E2 E3 E4 E5 E6 E7 E8 E9 E10
Durum wheat 68 76.5 73.1 76.5 74.8 73.1 71.4 76.5 74.8 66.3
Soft wheat 59.3 76.5 73.1 68 74.8 79.9 74.8 73.1 69.7 81.6
Sunflower 49.3 47.6 42.5 45.9 44.2 49.3 34 42.5 45.9 30.6
Soya-bean 47.6 49.3 45.9 49.3 47.6 34 45.9 47.6 44.2 51
Seed maize 6477 7774 6997 389 3888 6477 10367 9122 8293 10185
Seed sugar-beet 0 9503 8553 6479 11662 3109 9071 6479 13476 17192
Seed cucumber 726 9433 7257 0 13994 8293 7257 8034 11662 5909
Seed carrot 0 7257 5806 9848 376 9848 8811 6479 6997 2630
Seed onion 13994 10967 9330 11662 14773 11662 0 9071 9071 3369
Seed cabbage 7237 15550 11662 16845 22029 13994 0 16845 8293 4146
Seed parsley 0 7252 5076 6479 8293 5702 3499 5442 3888 5137

Selling prices are as follows : 25€ for durum wheat, 14€ for soft wheat, 35€ for sunflower and 36€ for soya-bean.

The objective of the farmer is to maximize her income.”

Add the constraints to the model in order to maximize the gross margin. Add an equation so as to calculate the random income for each state of nature and standard deviation. The list of potentially useful equation is as follows :

objective    objective function
income      income
land       land constraint
labour(m)  skilled labour constraint
irrigation  irrigable land availability constraint
incomeal(E) random income calculation equation
standard deviationR   income standard deviation

Check that the equations and solutions of your model are accurate modelEco_lauragaisStandardDeviation.gms.