Notes: Implications of Goal Programming in Forest Resource Allocation: Some Comments
Abstract:Goal programming and linear programming solutions are compared with respect to their proximity to the welfare optimum. The conditions under which L.P. yields Pareto optima are discussed; these conditions generally do not hold in the wildland political economy. In economies with market imperfections, neither G.P. nor L.P. categorically lead to Pareto optimal allocations. Forest Sci. 27:454-459.
Document Type: Miscellaneous
Affiliations: Research Economists, Pacific Southwest Forest and Range Experiment Station, Forest Service, U.S. Department of Agriculture, Berkeley, CA 94701
Publication date: 1981-09-01
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- 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
Average time from submission to first decision: 62.5 days*
June 1, 2016 to Feb. 28, 2017
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