Production structure and input substitution in Canadian sawmill and wood preservation industry

2006 ◽  
Vol 36 (11) ◽  
pp. 3007-3014 ◽  
Author(s):  
Rao V Nagubadi ◽  
Daowei Zhang

We use a translog cost function to analyze the sawmill and wood-preservation industry in Canada from 1958 to 2003. The estimated cost function is homothetic and Hicks neutral. Allen elasticities of substitution indicate that significant substitution possibilities exist. According to Morishima elasticities of substitution, substitution of labour by other inputs is easier than the substitution of other inputs by labour, and substitution of other inputs by materials is easier than the substitution of materials by other inputs. The demand for production labour, nonproduction labour, and electric power inputs is elastic. In contrast to the previous findings of zero or negative rate of technical change, we find technical progress at the rate of 0.57% per annum and a total factor productivity growth rate of 0.54% per annum in the Canadian sawmill and wood preservation industry.

1992 ◽  
Vol 52 (4) ◽  
pp. 881-906 ◽  
Author(s):  
Trevor Griffiths ◽  
Philip A. Hunt ◽  
Patrick K. O'Brien

An analysis of innovations in the eighteenth-century British textile industry is the basis for an evaluation of aggregate studies of invention during the Industrial Revolution, derived from patent evidence alone. Disaggregation of the data challenges recent generalizations concerning the pace and pattern of technical change over the period. Discontinuities in the nature of invention, promoting an acceleration in total factor productivity growth, are traced to the 1790s. Prior to that date, industrial development conformed to a pattern of Smithian growth, as manufacturers diversified their output in response to an expanding domestic market for consumer goods.


2011 ◽  
Vol 3 (6) ◽  
pp. 45 ◽  
Author(s):  
Natalia Aldaz ◽  
Joaquín A. Millán

This paper compares two non-parametric programming techniques for the measurement of total factor productivity using panel data: Malmquist indices and an intertemporal-DEA model that allows the calculation of technology and efficiency levels bounds, assuming non-regressive technical change. Both methodologies are applied to the analysis of agricultural productivity in the European Union countries, and several important divergences between models are found. The results suggest lower productivity increases in agriculture than those found in recent literature, with different country ranking concerning productivity growth.


2012 ◽  
Vol 1 (1) ◽  
pp. 1 ◽  
Author(s):  
Carlos Alberto Zuniga Gonzalez

This paper develops a new measure of total factor productivity growth in agricultural Production which incorporates Bio Economic components effects.The new measure is called the Bio Economic-Oriented Total Factor Productivity (BTFP) index, and incorporates components of Bio Economic as liquid biofuels. BTFP measure changes in Bio Economic efficiency and can be decomposed into bio economy efficiency change (BEC), and Bio Economic technological change (BTC) components.An empirical analysis, involving 7 Central American countries-level during 1980-2007, is provided using DEA methods. The results have shown a positive annual growth in bio economy total factor productivity of 1.1 percent.  This change is explained by 0.03 percent per year in the bio economy efficiency change (or bio economy catch-up) and bio economy technical change (or bio ethanol frontier-shift) is providing 0.09 percent.


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