IDEAS home Printed from https://ideas.repec.org/p/ags/eaa111/52841.html
   My bibliography  Save this paper

On Flexibility in the Polish Farming Sector

Author

Listed:
  • Renner, Swetlana
  • Hockmann, Heinrich
  • Pieniadz, Agata
  • Glauben, Thomas

Abstract

This paper investigates the flexibility of the Polish farming sector during a transition period. Flexibility is considered to be a farm’s ability to change output by sustaining average costs. We argue that flexibility is a crucial factor in farmers’ competitive advantage, especially under dynamically changing environmental conditions. We propose a flexibility measure that accounts for both input and output flexibility. This measure is used to empirically investigate the magnitude and sources of flexibility in Polish family farming. We also identify the main factors that explain the proposed flexibility indices. The empirical findings reveal that Polish farms use different technologies regarding their input and output flexibility. While small and specialized farms can easily adapt their input structure, the larger and highly diversified producers adjust their output levels according to price changes. Farmers who use more capital-intensive production technologies, i.e. milk producers, are less flexible with regard to input and overall adjustments. Furthermore, access to bank credit increases a farm’s adjustment ability.

Suggested Citation

  • Renner, Swetlana & Hockmann, Heinrich & Pieniadz, Agata & Glauben, Thomas, 2009. "On Flexibility in the Polish Farming Sector," 111th Seminar, June 26-27, 2009, Canterbury, UK 52841, European Association of Agricultural Economists.
  • Handle: RePEc:ags:eaa111:52841
    DOI: 10.22004/ag.econ.52841
    as

    Download full text from publisher

    File URL: https://ageconsearch.umn.edu/record/52841/files/069.pdf
    Download Restriction: no

    File URL: https://libkey.io/10.22004/ag.econ.52841?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
    ---><---

    Citations

    Citations are extracted by the CitEc Project, subscribe to its RSS feed for this item.
    as


    Cited by:

    1. Tomasz Gerard Czekaj & Arne Henningsen, 2012. "Comparing Parametric and Nonparametric Regression Methods for Panel Data: the Optimal Size of Polish Crop Farms," IFRO Working Paper 2012/12, University of Copenhagen, Department of Food and Resource Economics.

    More about this item

    Keywords

    Consumer/Household Economics; Production Economics;

    NEP fields

    This paper has been announced in the following NEP Reports:

    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:eaa111:52841. 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/eaaeeea.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.