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Agriculture sector performance evaluation in terms of financial indicators: A comparison of Czech republic, Slovakia and western balkan states

The result's identifiers

  • Result code in IS VaVaI

    <a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F00216305%3A26510%2F18%3APU127811" target="_blank" >RIV/00216305:26510/18:PU127811 - isvavai.cz</a>

  • Result on the web

    <a href="https://acta.mendelu.cz/media/pdf/actaun_2018066020497.pdf" target="_blank" >https://acta.mendelu.cz/media/pdf/actaun_2018066020497.pdf</a>

  • DOI - Digital Object Identifier

    <a href="http://dx.doi.org/10.11118/actaun201866020497" target="_blank" >10.11118/actaun201866020497</a>

Alternative languages

  • Result language

    angličtina

  • Original language name

    Agriculture sector performance evaluation in terms of financial indicators: A comparison of Czech republic, Slovakia and western balkan states

  • Original language description

    Agriculture and food industry have become part of strategic areas for each country and each region of Europe. Important condition on companies in group A (according NACE classification) is fulfilling requirements of management in performance of financial area. Traditional financial indicators (calculated from accounting data) are still used to evaluate performance level, what have been considered to be the most appropriate approach over a long period of time in spite of different accounting and financial indicators. Themain objective is to find crucial factors in thefield of financial performance for agriculture companies in chosen region. Data from 10438 agricultural companies have been get from Amadeus database and analysed. For purpose of the paper there were used factor analysis, Pearson chi-square test for independence, and correspondence analysis. By application of factor analysis has reduced the basic set, originally formed by seven key financial indicators, into seven indexes according analysed countries. All observed factors were put into Pearson’s chi-square test to indicate the dependency between indexes and (1) company size and (2) NACE classification. Finally, there was applied correspondence analysis, by which were found out clusters of countries, industries and size.

  • Czech name

  • Czech description

Classification

  • Type

    J<sub>SC</sub> - Article in a specialist periodical, which is included in the SCOPUS database

  • CEP classification

  • OECD FORD branch

    50204 - Business and management

Result continuities

  • Project

  • Continuities

    S - Specificky vyzkum na vysokych skolach

Others

  • Publication year

    2018

  • Confidentiality

    S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů

Data specific for result type

  • Name of the periodical

    Acta Universitatis Agriculturae et Silviculturae Mendelianae Brunensis

  • ISSN

    1211-8516

  • e-ISSN

    2464-8310

  • Volume of the periodical

    66

  • Issue of the periodical within the volume

    2

  • Country of publishing house

    CZ - CZECH REPUBLIC

  • Number of pages

    11

  • Pages from-to

    497-507

  • UT code for WoS article

  • EID of the result in the Scopus database

    2-s2.0-85047603934