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An Approach to Estimating Demand for National Forest Timber

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Demand equations for timber from individual national forests are developed by estimating total timber demand in the forest's market area then deducting supply from private forest lands and from other public ownerships. The approach is illustrated for the nine national forests in the Douglas-fir Region. Demand was found to be elastic for all forests in the Region except those in the Northwest Oregon market area. Data is generally available to replicate the proposed modelling procedure for most of the major timber producing areas in the western United States. Results from the Douglas-fir Region example suggest the need for coordination of underlying demand and supply assumptions when developing demand (price) projections on several forests in a region in the land management planning process. Forest Sci. 29:289-300.
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Keywords: Supply elasticities; demand elasticities

Document Type: Journal Article

Affiliations: Professor, Department of Forest Management, Oregon State University, Corvallis, OR 97331

Publication date: 1983-06-01

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.

    2016 Impact Factor: 1.782 (Rank 17/64 in forestry)

    Average time from submission to first decision: 62.5 days*
    June 1, 2016 to Feb. 28, 2017

    Also published by SAF:
    Journal of Forestry
    Other SAF Publications
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