Analysis of the import and supply of resources for potato
production in Mali
Master Thesis Econometrics
Faculty of Economics
Rijksuniversiteit Groningen
Chapter 1
Appendix
Numerical results models, data from Inter-Agro and map of the
region of Sikasso
Table 1.1: Optimal solution of the base model, seeds transported (table 9.1)
Location I Location J Date Truck number Amount of seeds transported
Table 1.2: Optimal solution of the base model, roads used (table 9.1)
Table 1.3: Optimal solution of the one truck capacity model(one truck of 9 tons; figure 9.1)
Location I Location J Date Truck number Amount of seeds transported
Table 1.4: Optimal solution of the one truck capacity model(one truck of 9 tons; figure 9.1)
Table 1.5: Optimal solution of the two trucks capacity model(two truck of 8 tons)
Location I Location J Date Truck number Amount of seeds transported
Table 1.6: Optimal solution of the two trucks capacity model(two trucks of 8 tons)
Table 1.7: Optimal solution of the roads analysis model(all four roads excluded; table 9.8)
Location I Location J Date Truck number Amount of seeds transported
Table 1.8: Optimal solution of the roads analysis model(all four roads excluded; table 9.8)
Table 1.9: Optimal solution of the demand analysis model at 150% (table 9.9)
Location I Location J Date Truck number Amount of seeds transported
Table 1.10: Optimal solution of the demand analysis model at 150% (table 9.9)
Table 1.11: Optimal solution of the supply analysis model,all demands at 50% (table 9.10)
Location I Location J Date Truck number Amount of seeds transported
i j l t X 0 1 1 11/4/2006 5 0 1 1 11/5/2006 5 0 1 1 11/8/2006 5 0 1 1 11/10/2006 3.1 0 1 1 11/15/2006 5 0 1 1 11/18/2006 5 0 1 1 11/21/2006 5 0 1 1 11/24/2006 5 0 3 1 11/3/2006 2.8 0 3 1 11/12/2006 4.9 0 3 1 11/14/2006 5 0 4 1 11/1/2006 5 0 4 1 11/30/2006 5 1 6 1 11/4/2006 0.3 3 2 1 11/12/2006 4.9 3 2 1 11/14/2006 5 4 5 1 11/1/2006 2 4 7 1 11/30/2006 1.7
Table 1.12: Optimal solution of the supply analysis model,all demands at 50% (table 9.10)
Table 1.13: Optimal solution of the supply analysis model,
all demands at 100%, location 1 at 75% (table 9.11)
Location I Location J Date Truck number Amount of seeds transported
i j l t X 0 1 1 11/2/2006 5 0 1 1 11/3/2006 5 0 1 1 11/7/2006 5 0 1 1 11/8/2006 5 0 1 1 11/9/2006 5 0 1 1 11/11/2006 5 0 1 1 11/12/2006 5 0 1 1 11/13/2006 5 0 1 1 11/15/2006 5 0 1 1 11/18/2006 4.2 0 1 1 11/22/2006 5 0 1 1 11/30/2006 5 0 3 1 11/6/2006 5 0 3 1 11/20/2006 5 0 3 1 11/25/2006 5 0 3 1 11/26/2006 5 0 3 1 11/27/2006 5 0 3 1 11/29/2006 5 0 4 1 11/1/2006 5 0 4 1 11/10/2006 5 0 7 1 11/28/2006 3.3 1 3 1 11/18/2006 1.9 1 6 1 11/7/2006 0.7 3 2 1 11/25/2006 5 3 2 1 11/26/2006 4.8 3 2 1 11/27/2006 5 3 2 1 11/29/2006 5 3 4 1 11/20/2006 2.6 3 5 1 11/6/2006 4
Figure 1.2: Result of a long run of the base model in AIMMS
Table 1.14: Optimal solution of the supply analysis model,
all demands at 100%, location 1 at 75% (table 9.11)
Table 1.15: Optimal solution of the cost analysis model,fixed cost at 120% (table 9.12)
Location I Location J Date Truck number Amount of seeds transported
Table 1.16: Optimal solution of the cost analysis model,fixed cost at 120% (table 9.12)
Table 1.17: Optimal solution of the cost analysis model,
interaction cost types at 10% (table 9.13)
Location I Location J Date Truck number Amount of seeds transported
Table 1.18: Optimal solution of the cost analysis model,
interaction cost types at 10% (table 9.13)
Table 1.19: Optimal solution of the cost analysis model,road costs at 50% (table 9.14)
Location I Location J Date Truck number Amount of seeds transported
Table 1.20: Optimal solution of the cost analysis model,road costs at 50% (table 9.14)
Table 1.21: Data from Inter-Agro
Villages