IDEAS home Printed from https://ideas.repec.org/p/ags/eaae08/44188.html
   My bibliography  Save this paper

A possible examination method for observing agriculture

Author

Listed:
  • Nabradi, Andras
  • Nagymihaly, Kornelia Ficzere

Abstract

On the basis of our examinations we have come to the conclusion that longitudinal examinations are the simplest and most up-to-date methods as well as the most cost-efficient ones to follow the decision-making, preparatory data collecting, processing and analysing opportunities serving the sustainability of agriculture better and better together with tracing down the feedback about the decisions to see if the given measure has really resulted in reaching the objectives. The method was proved to be able to supply both micro-and macro-level information in the desired breakdown, groupings and systems of connections. The development successive (panel) examination that we applied can serve as the basis of making decisions affecting huge areas by means of total listings and breakdowns. Moreover, it can also control their effects and aftermaths. We suggest the implementation of introducing this data collecting and information supplying method declared to be desirable also by the European Union. Implementation could be eased to a great extent by the fact that it is available for the organisations, as well.

Suggested Citation

  • Nabradi, Andras & Nagymihaly, Kornelia Ficzere, 2008. "A possible examination method for observing agriculture," 2008 International Congress, August 26-29, 2008, Ghent, Belgium 44188, European Association of Agricultural Economists.
  • Handle: RePEc:ags:eaae08:44188
    DOI: 10.22004/ag.econ.44188
    as

    Download full text from publisher

    File URL: https://ageconsearch.umn.edu/record/44188/files/530Ra.pdf
    Download Restriction: no

    File URL: https://libkey.io/10.22004/ag.econ.44188?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

    Research Methods/ Statistical Methods;

    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:eaae08:44188. 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.