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Abstract
In this paper, recent theoretical advances of modeling are amplified
and applied to a sample linear programming problem to demonstrate its
usefulness for policy analysis. Policymakers and planners in agriculture
are looking for analyses that will aid them in appraising what future
levels of production may be expected at alternative price levels. This
requires knowledge of what changes result from different supply-demand
balances due to possible input scarcities, changes in productivity under
alternative technologies and changes in consumer's preferences.
The objectives of this paper are to (1) restate the theoretical
underpinning that are useful for this analysis by specifying the complete
model; (2) to demonstrate how the model can be solved using linear
programming techniques; and, (3) demonstrate how the model can be used
in policy analysis.