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Shadow pricing diversity in U. S. national forests
Authors:Frederick Boltz  R Carter Douglas  G Jacobson Michael
Institution:

aSchool of Forest Resources and Conservation, Institute of Food and Agricultural Sciences, University of Florida, Gainesville, USA

bSchool of Forest Resources, Pennsylvania State University, 7 Ferguson Building, University Park, PA 16802 USA

Abstract:Tobit estimation of the market value of timber sales in national forests of North Carolina demonstrates the important effect of stand diversity on the formulation of bid prices for mixed-species timber tracts. The hedonic model generates a shadow price for diversity according to changes in bid prices, an effective shift in the demand curve for auctioned tracts due to stand diversity attributes. This approach contrasts with traditional shadow price analyses that focus on the supply effects of environmental constraints. Results are corrected for the effects of bidder participation, market conditions, production costs, and other stand attributes. Econometric results demonstrate that stand heterogeneity is a highly significant factor influencing the market value of timber sales from national forests of the Appalachian region. Greater heterogeneity results in lower bid prices for timber sales, indicating a positive shadow price for maintenance of stand diversity.
Keywords:tobit model  logging  U  S  national forest  diversity  shadow price
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