Estimation of Technical Efficiency of Czech Dairy Processing Firms
The result's identifiers
Result code in IS VaVaI
<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F60460709%3A41110%2F14%3A64548" target="_blank" >RIV/60460709:41110/14:64548 - isvavai.cz</a>
Result on the web
—
DOI - Digital Object Identifier
—
Alternative languages
Result language
čeština
Original language name
Estimation of Technical Efficiency of Czech Dairy Processing Firms
Original language description
The objective of this paper is to apply a Cobb-Douglas, Translog Stochastic Production Function in order to estimate inefficiencies, efficiencies and returns to scale with following selection the better fitting model of milk processing firms in the CzechRepublic based on panel data from years 2005?2011. For estimation ?True? random effects model with exponential distribution of efficiency term under the assumption of heteroscedasticity was used. For empirical study unbalanced panel data set contained 368 observations of 69 milk processing Czech companies was analysed. Using stochastic frontier analysis and z-test we verified that in the case of Cobb-Douglas function variables (capital, labour, and material) have statistically significant impact on thefirms? output. In the case of Translog model capital variable is statistically insignificant, but assuming sign of the slope coefficients (i.e.production elasticities) is consistent with economic theory in both models. Results of efficie
Czech name
Estimation of Technical Efficiency of Czech Dairy Processing Firms
Czech description
The objective of this paper is to apply a Cobb-Douglas, Translog Stochastic Production Function in order to estimate inefficiencies, efficiencies and returns to scale with following selection the better fitting model of milk processing firms in the CzechRepublic based on panel data from years 2005?2011. For estimation ?True? random effects model with exponential distribution of efficiency term under the assumption of heteroscedasticity was used. For empirical study unbalanced panel data set contained 368 observations of 69 milk processing Czech companies was analysed. Using stochastic frontier analysis and z-test we verified that in the case of Cobb-Douglas function variables (capital, labour, and material) have statistically significant impact on thefirms? output. In the case of Translog model capital variable is statistically insignificant, but assuming sign of the slope coefficients (i.e.production elasticities) is consistent with economic theory in both models. Results of efficie
Classification
Type
D - Article in proceedings
CEP classification
GA - Agricultural economics
OECD FORD branch
—
Result continuities
Project
—
Continuities
S - Specificky vyzkum na vysokych skolach
Others
Publication year
2014
Confidentiality
S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů
Data specific for result type
Article name in the collection
CER Comparative European Research 2014
ISBN
978-0-9928772-0-0
ISSN
—
e-ISSN
—
Number of pages
4
Pages from-to
92-95
Publisher name
Sciemcee Publishing
Place of publication
London
Event location
Virtual conference
Event date
Mar 17, 2014
Type of event by nationality
WRD - Celosvětová akce
UT code for WoS article
—