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
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.