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Figure . . Competition for labor between the fishing and mining sectors: compare with previous
figure
able range of the second variable (fishing) given the constraint. In fact, this can be
seen (but is not shown here) for the other variables. hat is, due to the relationship
between the eight variables, a constraint on one of them impacts all of the remain-
ing ones and restricts their ranges. he display allows us to experiment and actu-
ally see the impacts of such decisions downstream. By interactively varying the value
chosen for the first variable, we found that it is not possible to have a policy that
favors agriculture without also favoring fishing, and vice versa. Proceeding further,
a very high value from the available range of fishing is chosen, and this corresponds
to very low values of the mining sector. By contrast, in Fig. . we see that a low
value in fishing yields high values for the mining sector. his inverse correlation was
examined, and it was found that the country in question has a large number of mi-
grating semi-skilled workers. When the fishing industry is doing well, most of them
are attracted to it, leaving few available to work in the mines, and vice versa. A com-
parison between the two figures shows the competition for the same resource be-
tween mining and fishing. It is especially instructive to discover this interactively.
he construction of the interior point proceeds in the same way. In Fig. . (right),
the same construction is shown but for a more complex -dimensional hypersur-
face.
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