Inter-regional comparisons of production technology in Canada's timber harvesting industries

Enhanced productivity in the logging industry is one of the key factors that determine the competitiveness of the forest products sector. Policy measures to improve efficiency must therefore start at the timber harvesting stage. This study analyzed and compared the production technologies in the timber harvesting industries of British Columbia (B.C.), Ontario, and Quebec, which are Canada's largest timber producing provinces. The study used annual data of log output and four inputs: labour, capital, energy, and materials from 1961 to 1999. Six models, encompassing different restrictions on the long-run translog cost function, were applied to each industry to determine the best technology for that industry. The cost function that best described each industry's technology was used to estimate own- and cross-price elasticities, input substitution elasticities, scale effects, technological change and bias, and total factor productivity. The production technologies of B.C. and Quebec were best described by homothetic, linearly homogeneous functions, while that of Ontario was found to be non-homothetic. Based on the Morishima elasticities of substitution, the results in general indicated inelastic substitution among all the four factor inputs. As a result the industries had limited options to make input adjustments with respect to changes in relative input prices; and hence required output levels were maintained at higher production costs. All three provincial industries exhibited biased technological changes, saving on capital and labour, and intensively using energy and materials. Labour and capital therefore recorded higher productivity than energy and materials over all provinces; consequently, efforts at improving the efficiency of the logging industries should focus on increasing the productivity of the latter inputs. Scale effects ranged from 2.17 in B.C. to 1.44 in Quebec implying that the timber harvesting industries appeared to have had the greatest potential for cost reduction through output expansion. In a competitive market structure, the strategic policy implication of these scale effects is that low-cost producers force high-cost industries out, leading to industrial concentration. The low levels of technological change in the timber harvesting industries observed in this study may reflect these industrial concentration problems. Policies that reduce the rental cost of capital, such an increase in investment tax credits and cuts in the corporate income tax rates have the potential to increase productivity and hence improve on the timber industry's competitive position.