Environmental Engineering Reference
In-Depth Information
Table 5.2
Crop areas (ha) of two farm types (average farms) in Midi-Pyrénées
Farm type 3201
Farm type 3202
Size
Large
Large
Intensity
Medium
Medium
Specialization - land use
Arable/cereals
Arable/set-aside
Number of farms represented
2,330
991
Total
Per farm
Total
Per farm
Barley
9,550
4.1
1,559
1.6
Dry pulses
8,749
3.8
3,593
3.6
Maize (grain)
81,764
35.1
24,820
25
Oil seeds
44,112
18.9
17,509
17.7
Other cereals
7,344
3.2
2,026
2
Peas
8,259
3.5
3,593
3.6
Set-aside
21,780
9.3
18,739
18.9
Soya
6,936
3
3,612
3.6
Sunflower
33,267
14.3
12,509
12.6
Wheat (durum)
40,313
17.3
11,326
11.4
Wheat (soft)
30,570
13.1
12,182
12.3
Permanent crops and
vineyards
15,034
6.5
10,212
10.3
Irrigated area
97,375
41.8
30,085
30.4
FSSIM-MP: Mathematical Programming Model
Aim of FSSIM-MP
Based on mathematical programming, FSSIM-MP seeks to capture resource,
socio-economic and policy constraints and the farmer's major objectives. The use
of a mathematical programming approach has the advantage to explicitly model
technological and political constraints (set-aside obligations, production quotas and
cross-compliance restrictions) under which behavioural functions cannot be derived
easily or at all (Heckelei and Wolff
2003)
. It allows also mixed ecological-economic
analysis (Falconer and Hodge
2000
; Louhichi et al.
2004)
.
The principal components of FSSIM-MP are:
-
A set of decision variables that describe the agricultural activities and state of
the system.
An objective function describing the farmer's behaviour and goals in particular
-
concerning risk.
A set of explicit physical, financial, technical, economic and agronomic constraints,
-
representing specifications for system operation.
A set of policy and environmental measures (price and market support,
-
quota and seta-side obligations, cross-compliance restrictions, etc.) as included
in the Common Market Organizations (CMOs) regulations and some specific
regulations.
