Linking harvest choices to timber supply

Aggregate timber supply by ownership was investigated for a small region by applying stand-level harvest choice models to a representative sample of stands and then aggregating to regional totals using the area-frame of the forest survey. Timber harvest choices were estimated as probit models for three ownership categories in coastal plain southern pine stands of North Carolina using individual permanent and remeasured stand-level data from last two available USDA Forest Service Forest Inventory and Analysis (FIA) surveys. The timber harvest decision was modeled as a function of timber values, a cost factor, and stand volume as a proxy for nontimber values. Probit models were statistically significant at 1% for all ownerships. Area expansion factors (the portion of forest area in the region represented by the sampled stand) were then combined with harvest probabilities to model the aggregate effects of price changes on timber supply, given a fixed forest area. Implied price elasticities were estimated using this modeling of aggregate effects, and a bootstrapping procedure was applied to estimate confidence limits for supply elasticities with respect to price. Our results showed that NIPF and industry were elastically responsive in the aggregate when price increases are perceived as temporary but much less elastically and usually negat ively responsive when increases are perceived as permanent. Results are consistent with theory of optimal rotations and highlight the critical influence of both existing inventory structure and expectations on aggregate timber supply. FOR. Sci. 46(3):377-389.

[1]  J. Kuuluvainen,et al.  Timber Supply and Life Cycle Harvest of Nonindustrial Private Forest Owners: An Empirical Analysis of the Finnish Case , 1991, Forest Science.

[2]  P. J. Parks,et al.  Land Attributes and Land Allocation: Nonindustrial Forest Use in the Pacific Northwest , 1994, Forest Science.

[3]  Dale e. Lehman,et al.  A behavioral model of timber supply , 1988 .

[4]  Clark S. Binkley,et al.  LONG-RUN TIMBER SUPPLY: PRICE ELASTICITY, INVENTORY ELASTICITY, AND THE USE OF CAPITAL IN TIMBER PRODUCTION , 1993 .

[5]  David N. Wear,et al.  THE ECONOMICS OF TIMBER SUPPLY: AN ANALYTICAL SYNTHESIS OF MODELING APPROACHES , 1994 .

[6]  David N. Wear,et al.  Production Economics of Private Forestry: A Comparison of Industrial and Nonindustrial Forest Owners , 1993 .

[7]  David M. Rocke,et al.  Standard Errors for Elasticities: A Comparison of Bootstrap and Asymptotic Standard Errors , 1987 .

[8]  R. Boyd.  Government Support of Nonindustrial Production: The Case of Private Forests* , 1984 .

[9]  Robert Tibshirani,et al.  An Introduction to the Bootstrap , 1994 .

[10]  B. Provencher.  Structural Versus Reduced‐Form Estimation of Optimal Stopping Problems , 1997 .

[11]  A. Plantinga,et al.  The Effect of Agricultural Policies on Land Use and Environmental Quality , 1996 .

[12]  P. J. Parks,et al.  Individual choice and regional acreage response to cost-sharing in the South, 1971-1981 , 1991 .

[13]  R. Mendelsohn,et al.  Timber Harvesting with Fluctuating Prices , 1988 .

[14]  Bill Provencher,et al.  Structural Estimation of the Stochastic Dynamic Decision Problems of Resource Users: An Application to the Timber Harvest Decision , 1995 .

[15]  D. Newman,et al.  An Econometric Analysis of the Southern Softwood Stumpage Market: 1950-1980 , 1987 .

[16]  D. Dennis.  An economic analysis of harvest behavior: integrating forest and ownership characteristics , 1989 .

[17]  R. Sheffield,et al.  North Carolina's forests , 1979 .

[18]  D. Dennis.  A probit analysis of the harvest decision using pooled time-series and cross-sectional data , 1990 .