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Implications of Goal Programming in Forest Resource Allocation

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Goal programming, utilizing a preemptive priority formulation, is described and compared to linear programming to evaluate its effectiveness in solving public forest resource allocation problems. The logic used is that of welfare economics. It is concluded that goal programming does not, in general, generate the theoretically desirable solution to the public resource allocation problem. Goal programming is then analyzed as a "satisficing" algorithm and as a production feasibility test. The possibilities of failure in these applications are also pointed out. A sensitivity analysis on an example problem is included to demonstrate the theoretical conclusions made. Finally, policy-oriented conclusions are drawn and recommendations concerning the use of the goal programming are presented. Forest Sci. 25:535-543.

Keywords: Land management planning; constrained optimization; linear programming; operations research

Document Type: Journal Article

Affiliations: Forest Economist, Systems Applications Unit for Land Management Planning, USDA Forest Service, Fort Collins, Colorado

Publication date: December 1, 1979

More about this publication?
  • Forest Science is a peer-reviewed journal publishing fundamental and applied research that explores all aspects of natural and social sciences as they apply to the function and management of the forested ecosystems of the world. Topics include silviculture, forest management, biometrics, economics, entomology & pathology, fire & fuels management, forest ecology, genetics & tree improvement, geospatial technologies, harvesting & utilization, landscape ecology, operations research, forest policy, physiology, recreation, social sciences, soils & hydrology, and wildlife management.
    Forest Science is published bimonthly in February, April, June, August, October, and December.

    2015 Impact Factor: 1.702
    Ranking: 16 of 66 in forestry

    Also published by SAF:
    Journal of Forestry
    Other SAF Publications
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