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    Author(s): Richard Haynes; Darius Adams; Peter InceJohn MillsRalph Alig
    Date: 2006
    Source: Computer applications in sustainable forest management : including perspectives on collaboration and integration. Dordrecht : Springer, c2006. Managing forest ecosystems ; v. 11: ISBN: 1402043058: 9781402043055: Pages 171-197.
    Publication Series: Miscellaneous Publication
    PDF: View PDF  (218 KB)

    Description

    The United States has a century of experience with the development of models that describe markets for forest products and trends in resource conditions. In the last four decades, increasing rigor in policy debates has stimulated the development of models to support policy analysis. Increasingly, research has evolved (often relying on computer-based models) to increase understanding of consumer demands, producer behavior, landowner behavior, and conditions of the timber resource. Greater computational power available since the mid 1970s has allowed the evolution of bioeconomic models that combine economic and resource models. These are used in the United States to provide the basis for forecasting future resource and market trends and to inform policy analysis. These more complex models have also extended options for policy analysis using approaches such as scenario planning to help decision makers gauge uncertainty.

    Publication Notes

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    • This article was written and prepared by U.S. Government employees on official time, and is therefore in the public domain.

    Citation

    Haynes, Richard; Adams, Darius; Ince, Peter; Mills, John; Alig, Ralph. 2006. Bioeconomic and market models. Computer applications in sustainable forest management : including perspectives on collaboration and integration. Dordrecht : Springer, c2006. Managing forest ecosystems ; v. 11: ISBN: 1402043058: 9781402043055: Pages 171-197.

    Keywords

    Forest sector modeling, policy analysis, supply, demand, forests, forestry, econometric models, mathematical models, simulation methods, consumption, forecasting, forest products industry, forest products, marketing, economic aspects, market surveys, prices, economic forecasting

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