All

What are you looking for?

All
Projects
Results
Organizations

Quick search

  • Projects supported by TA ČR
  • Excellent projects
  • Projects with the highest public support
  • Current projects

Smart search

  • That is how I find a specific +word
  • That is how I leave the -word out of the results
  • “That is how I can find the whole phrase”

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