scholarly journals A Translog Cost Analysis of Turkey Production in the Mid-Atlantic Region

1985 ◽  
Vol 17 (1) ◽  
pp. 151-158 ◽  
Author(s):  
William Grisley ◽  
Kangethe W. Gitu
Keyword(s):  
Cost Analysis ◽  
Variable Cost ◽  
Dual Variable ◽  
Production Structure ◽  
Atlantic Region ◽  
Input Substitution ◽  
Price Elasticities ◽  
Demand Elasticities ◽  
Input Demand ◽  
Variable Cost Function

AbstractThe production structure of 165-hen and 200-tom turkey flocks is investigated using a translog (dual) variable cost function. The partial static equilibrium elasticities of scale, input demand, input substitution, and cross price elasticities of demand are calculated. The elasticity of scale is found to be not significantly different from one over the range of 5,900 to 9,822 birds for the hen flocks and over the range of 7,765 to 11,043 birds for the torn flocks. In general, the input demand elasticities are inelastic with the exception of the input fuel. The cross-price elasticities are in general inelastic.

scholarly journals The Production Structure of Pennsylvania Dairy Farms

1984 ◽  
Vol 13 (2) ◽  
pp. 245-253 ◽  
Author(s):  
William Grisley ◽  
Kangethe W. Gitu
Keyword(s):  
Returns To Scale ◽  
Dairy Farms ◽  
Herd Size ◽  
Variable Cost ◽  
Production Structure ◽  
Sample Mean ◽  
Price Elasticities ◽  
Hired Labor ◽  
Constant Returns To Scale ◽  
Variable Cost Function

The production structure of a selected cross-section sample of family owner-operated dairy farms is investigated using a translog variable cost function. Elasticities of scale, input substitution, and input own- and cross-price elasticities are estimated. At the sample mean herd size of 67 cows producing at 15,173 pounds of milk per cow, the elasticity of scale parameter was 1.00, implying constant returns to scale. The elasticities of substitution between feeds and hired labor and the own- and cross-price elasticities were inelastic.

The sawmill industry of the Lake States: a study of productivity, technological change, and factor demand

2006 ◽  
Vol 36 (10) ◽  
pp. 2633-2641 ◽  
Author(s):  
James RG McQueen ◽  
Karen Potter-Witter
Keyword(s):  
Technical Change ◽  
Time Series Data ◽  
Returns To Scale ◽  
Elasticity Of Substitution ◽  
Series Data ◽  
Variable Cost ◽  
Price Elasticities ◽  
Factor Demand ◽  
Sawmill Industry ◽  
Variable Cost Function

A translog variable cost function of the sawmill industry in Michigan, Minnesota, and Wisconsin was estimated using pooled time-series data for the period 1963–1996 with inputs labour, materials, and capital. The estimated model imposed Hicks-neutral technical change and allowed for nonconstant returns to scale as well as nonunitary elasticities of substitution amongst the inputs. Results for the Allen–Uzawa partial elasticity of substitution and the Morishima elasticity of substitution indicate that the three inputs were inelastic substitutes. The own-price elasticities of demand and the cross-price elasticities were all inelastic. The industry exhibits increasing returns to scale and positive technical change. Total factor productivity was increasing by 0.69%/year over the study period.

An intraregional economic analysis of production structure and factor demand in major Canadian softwood lumber producing regions

1988 ◽  
Vol 18 (8) ◽  
pp. 1036-1048 ◽  
Author(s):  
J. K. Meil ◽  
J. C. Nautiyal
Keyword(s):  
Technical Change ◽  
Time Series Data ◽  
Decomposition Analysis ◽  
Production Capacity ◽  
Series Data ◽  
Variable Cost ◽  
Production Structure ◽  
Cross Sectional ◽  
Behaviour Factor ◽  
Factor Demand

Cross-sectional time-series data were employed to estimate four intraregional models of production structure and factor demand over the time period 1968–1984. Lumber, tie, and pulp chip information was incorporated into the restricted, single-output, variable cost transcendental logarithmic function. Results indicate that aggregate sectoral studies do not adequately reflect regional production behaviour in the industry. Additional tests for aggregation bias demonstrated that different mill sizes within a region also portray differing production behaviour. Factor demand decomposition analysis indicated that demand for production inputs is not static, but is governed by offsetting dynamic effects. With few exceptions, all mills across regions exemplify material- and energy-using and labour-saving biases in technical change. Larger mills consistenly registered the greatest labour-saving technical change, which countered their lack of attaining significantly large cost-reducing scale economies. Mid-sized mills consistently exhibited the largest returns to scale. The data suggest that small mills are leaving the industry in some regions and production capacity is becoming concentrated in the larger mills.

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