IDEAS home Printed from https://ideas.repec.org/a/ags/aolpei/96873.html
   My bibliography  Save this article

Modelling The Cattle Breeding Production in the Czech Republic

Author

Listed:
  • Mach, Jiri
  • Kristkova, Zuzana

Abstract

This paper proves that the use of the Cobb-Douglas form of production function is suitable for modelling the technological efficiency of selected production factors used in cattle breeding. Furthermore, it is possible to use the estimated function to analyse economic efficiency, considering also the prices of the production factors. The results of the econometric estimation show that higher initial weight affects negatively the dynamics of weight gain. Analysing the efficiency of the two main feedstuff components, i.e. the haylage and hay, it was found out that the increases in weight react inelastically with respect to the volume of feedstuffs, which is in line with the physiological limits of the animal production. The results further reveal that the increases in weight react more sensitively to haylage compared to hay. Thus, it is possible to conclude, that haylage provides technologically more efficient way of cattle breeding in comparison to hay. This paper resulted from contribution to an institutional research project MSM 6046070906 “Economics of resources of Czech agriculture and their efficient use in the framework of multifunctional agri-food systems”.

Suggested Citation

  • Mach, Jiri & Kristkova, Zuzana, 2010. "Modelling The Cattle Breeding Production in the Czech Republic," AGRIS on-line Papers in Economics and Informatics, Czech University of Life Sciences Prague, Faculty of Economics and Management, vol. 2(3), pages 1-11, September.
  • Handle: RePEc:ags:aolpei:96873
    DOI: 10.22004/ag.econ.96873
    as

    Download full text from publisher

    File URL: https://ageconsearch.umn.edu/record/96873/files/agris_on-line_2010_3_mach_kristkova_colleagues_revised.pdf
    Download Restriction: no

    File URL: https://libkey.io/10.22004/ag.econ.96873?utm_source=ideas
    LibKey link: if access is restricted and if your library uses this service, LibKey will redirect you to where you can use your library subscription to access this item
    ---><---

    More about this item

    Keywords

    ;
    ;

    Statistics

    Access and download statistics

    Corrections

    All material on this site has been provided by the respective publishers and authors. You can help correct errors and omissions. When requesting a correction, please mention this item's handle: RePEc:ags:aolpei:96873. See general information about how to correct material in RePEc.

    If you have authored this item and are not yet registered with RePEc, we encourage you to do it here. This allows to link your profile to this item. It also allows you to accept potential citations to this item that we are uncertain about.

    We have no bibliographic references for this item. You can help adding them by using this form .

    If you know of missing items citing this one, you can help us creating those links by adding the relevant references in the same way as above, for each refering item. If you are a registered author of this item, you may also want to check the "citations" tab in your RePEc Author Service profile, as there may be some citations waiting for confirmation.

    For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: AgEcon Search (email available below). General contact details of provider: https://edirc.repec.org/data/fevszcz.html .

    Please note that corrections may take a couple of weeks to filter through the various RePEc services.

    IDEAS is a RePEc service. RePEc uses bibliographic data supplied by the respective publishers.