Agric. Econ. - Czech, 2007, 53(3):123-131 | DOI: 10.17221/455-AGRICECON

The multicriterial evaluation of agricultural enterprises

P. Froněk, L. Jelínek, T. Medonos
Research Institute of Agricultural Economics, Prague, Czech Republic

A number of approaches and methods has been applied to evaluate an enterprise's success (rating) in a way to look on the firm’s performance in more or less comprehensive view. The paper presents methodological tools for evaluation of the financial and non-financial characteristics, specifically the application of discriminant and cluster analysis in the case of agricultural enterprises. The methodology for total evaluation will further require the improvement in the assessment of financial and non-financial variables along with justification of their weights. The key thing is to ensure that the designed criteria for total assessment have the capabilities to assess the potential risks linked to business. That would enable to evaluate the business not only from the past and present point of view but also from the future perspective.

Keywords: financial evaluation, efficiency, agriculture, discriminant and cluster analysis

Published: March 31, 2007  Show citation

ACS AIP APA ASA Harvard Chicago Chicago Notes IEEE ISO690 MLA NLM Turabian Vancouver
Froněk P, Jelínek L, Medonos T. The multicriterial evaluation of agricultural enterprises. Agric. Econ. - Czech. 2007;53(3):123-131. doi: 10.17221/455-AGRICECON.
Share...
Download citation
  • BibTeX (.bib)
  • Bookends (.ris)
  • EasyBib (.ris)
  • EndNote (.enw)
  • EndNote 8 (.xml)
  • ISI WoS (.isi)
  • Medlars (.medlars)
  • Mendeley (.ris)
  • MODS (.xml)
  • Papers (.ris)
  • RefWorks (.txt)
  • RefManager (.ris)
  • RIS (.ris)
  • MS Word (.xml)
  • Zotero (.ris)
    • Open full article

    References

    1. Bolch B.W., Juany C.J. (1979): Mnogoměrnyje statističeskije metody dlja ekonomiki (Multivariate Statistical Methods for Business and Economics). Statistika, Moscow.
    2. Huber P.J. (1981): Robust Statistics. Wiley, New York. Go to original source...
    3. Kendall M.G., Stuart A. (1968): The Advanced Theory of Statistics, vol. 3. Hafner Publishing Co., New York. Go to original source...
    4. Ledermann W. (1989): Handbook of Aplicable Mathematics. Volume VI. Statistics; Russian translation: Spravočnik po prikladnoj statistike Tom 1, 2. Finansy i statistika, Moscow.
    5. Lukasová A., Šarmanová J. (1985): Metody shlukové analýzy (Cluster analysis methods). SNTL, Praha.
    6. OECD (2001): Multifunctionality - Towards an analytical framework. OECD, Paris.
    7. Rao C. Radhakrishna (1978): Lineární metody statistické indukce a jejich aplikace (Linear Statistical Inference and its Applications). Academia, Praha.
    8. Sůvová H. (1999): Finanční analýza v řízení podniku, v bance a na počítači (Financial analysis in management and banks using PC). Bankovní institut, a.s., Praha.
    9. VŠE (2004): Sborník příspěvků ze semináře Pokrok ve výzkumu malých a středních podniků (v ČR a na Slovensku) (Proceedings from the seminar Progress in a research of small and medium enterprises in CR and Slovakia). Praha.
    10. VUZE (2002): Závěrečná zpráva o řešení projektu Finanční hodnocení českých zemědělských podniků za rok 2001 (Final report from a research project Financial evaluation of Czech agricultural enterprises). Projekt EP 9358, Praha.
    11. VUZE (2003): Periodická zpráva o řešení projektu: Metody komplexního hodnocení zemědělských podniků pro formování agrární politiky za rok 2003 (Report from a research project Methods for a comprehensive evaluation of agricultural enterprises for designing of agrarian policy). Projekt QF 3269, Praha.
    12. Zwillinger D., Kokoska S. (2000): CRC Standard Probability and Statistical Tables and Formulae. Chapmann & Hall, London - New York. Go to original source...

    This is an open access article distributed under the terms of the Creative Commons Attribution-NonCommercial 4.0 International (CC BY NC 4.0), which permits non-comercial use, distribution, and reproduction in any medium, provided the original publication is properly cited. No use, distribution or reproduction is permitted which does not comply with these terms.


    Return to the content