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A spatial equilibrium analysis of Southern Pine lumber pricing and allocation
Abstract The objective of this paper is to determine the optimum allocation and pricing pattern of Southern Pine lumber as well as to evaluate the current and future demand-supply situation. With regard to the latter, spatial equilibrium of the Southern Pine lumber market is analyzed, and a comparative statics approach involving two equilibrium points is employed. The year 1981 is chosen as the initial point in time. The future date of 1984 is selected to be used for comparative statics analysis. A spatial solution—the optimal allocation and pricing pattern—will be obtained by using the Takayama-Judge and the Liew-Shim quadratic spatial equilibrium models. In estimating regional demand and supply functions, which are critical for the analysis, the two-stage least-squares estimation method will be used, based on apooled sample of cross section and time series for the period 1971–1981. As a result of comparing the optimum 1984 solution with the 1981 solution, it is expected that some of the areas under study can experience a tight supply of Southern Pine lumber, and consequently, lumber production-consumption balances will result in deficit production.
A spatial equilibrium analysis of Southern Pine lumber pricing and allocation
Abstract The objective of this paper is to determine the optimum allocation and pricing pattern of Southern Pine lumber as well as to evaluate the current and future demand-supply situation. With regard to the latter, spatial equilibrium of the Southern Pine lumber market is analyzed, and a comparative statics approach involving two equilibrium points is employed. The year 1981 is chosen as the initial point in time. The future date of 1984 is selected to be used for comparative statics analysis. A spatial solution—the optimal allocation and pricing pattern—will be obtained by using the Takayama-Judge and the Liew-Shim quadratic spatial equilibrium models. In estimating regional demand and supply functions, which are critical for the analysis, the two-stage least-squares estimation method will be used, based on apooled sample of cross section and time series for the period 1971–1981. As a result of comparing the optimum 1984 solution with the 1981 solution, it is expected that some of the areas under study can experience a tight supply of Southern Pine lumber, and consequently, lumber production-consumption balances will result in deficit production.
A spatial equilibrium analysis of Southern Pine lumber pricing and allocation
Shim, Jae K. (Autor:in)
1985
Aufsatz (Zeitschrift)
Englisch
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