Compromise solution for economic-environmental decisions in agriculture
Identifieur interne : 001A12 ( Main/Exploration ); précédent : 001A11; suivant : 001A13Compromise solution for economic-environmental decisions in agriculture
Auteurs : P. G. Lakshminarayan [États-Unis] ; Jay Dee Atwood [États-Unis] ; Stanley R. Johnson [États-Unis] ; Vince A. Sposito [États-Unis]Source :
- Journal of Environmental Management [ 0301-4797 ] ; 1991.
English descriptors
Abstract
Least-cost production versus the environmental on- and off-site erosion damage of agriculture is evaluated in a policy context for a major Corn Belt watershed. Compromise programming, previously utilized in firm-level multi-criteria decision-making problems, is applied to a regional agricultural production model with environmental policy goal trade-offs. The crop sector model allocates land, water, labor, capital and commodity-program base acres to crop production. Production options include four conservation practices, three tillage methods and several crop rotations. Crop yield and fertilizer levels are dependent upon erosion. Cropping options selected allow for both wind and water erosion.The vector of objectives include three minimization functions: current production cost, future value of productivity loss and sediment damage. Vector optimization technique was used to generate the payoff matrix containing efficient but simultaneously unobtainable solutions. Given the ideal but infeasible solution vector we generated efficient solutions in the compromise subset corresponding to the L1, L2 and L∞ metrics. Trade-off relations were developed using the non-inferior set estimation technique.
Url:
DOI: 10.1016/S0301-4797(05)80047-7
Affiliations:
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Compromise programming, previously utilized in firm-level multi-criteria decision-making problems, is applied to a regional agricultural production model with environmental policy goal trade-offs. The crop sector model allocates land, water, labor, capital and commodity-program base acres to crop production. Production options include four conservation practices, three tillage methods and several crop rotations. Crop yield and fertilizer levels are dependent upon erosion. Cropping options selected allow for both wind and water erosion.The vector of objectives include three minimization functions: current production cost, future value of productivity loss and sediment damage. Vector optimization technique was used to generate the payoff matrix containing efficient but simultaneously unobtainable solutions. Given the ideal but infeasible solution vector we generated efficient solutions in the compromise subset corresponding to the L1, L2 and L∞ metrics. 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