OUTPUT SUPPLY AND INPUT DEMAND IN THE PULP AND PAPER-INDUSTRY - A NONPARAMETRIC MODEL FOR THE UNITED-STATES AND CANADA

Citation
Js. Hseu et J. Buongiorno, OUTPUT SUPPLY AND INPUT DEMAND IN THE PULP AND PAPER-INDUSTRY - A NONPARAMETRIC MODEL FOR THE UNITED-STATES AND CANADA, Forest science, 43(1), 1997, pp. 35-45
Citations number
38
Categorie Soggetti
Forestry
Journal title
ISSN journal
0015749X
Volume
43
Issue
1
Year of publication
1997
Pages
35 - 45
Database
ISI
SICI code
0015-749X(1997)43:1<35:OSAIDI>2.0.ZU;2-K
Abstract
Demand and supply relationships are needed to understand the economics of the pulp and paper industry and to make forecasts of inputs, outpu ts, and prices. Here, long-run supply and demand elasticities were der ived with a nonparametric method exploiting the consequences of the we ak axiom of profit maximization (WAPM). No assumption was required reg arding the form of the profit function, and all own-price elasticities necessarily had the expected theoretical signs. But, an infinite numb er of quantity responses being consistent with the theory and data, fi nding a unique response required a new assumption: that quantities adj usted just enough to satisfy the WAPM. The data pertained to the pulp and paper industries of the United States and Canada from 1959 to 1987 . They recognized four outputs and nine inputs. A price shock of 20% l ed to elasticities that closely satisfied local homogeneity of the sup ply/demand functions, and symmetry of their price derivatives. Output supplies were all elastic, or nearly so, with respect to their own pri ces. The own-price elasticities of input demand ranged from -0.4 to -2 .2, demand for capital being one of the most elastic. Cross-price elas ticities tended to be small. The method was also applied to make out-o f-sample forecast of inputs and outputs conditional on observed prices , under nonregressive technical change. Forecasts for 1983 to 1987 wer e generally unbiased. A synthesis of parametric and nonparametric meth ods is still needed to improve forecasts.