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Assessing the financial health of agricultural enterprises incorporating the spatial dimension

The result's identifiers

  • Result code in IS VaVaI

    <a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F61989100%3A27510%2F22%3A10250548" target="_blank" >RIV/61989100:27510/22:10250548 - isvavai.cz</a>

  • Result on the web

    <a href="https://www.wageningenacademic.com/doi/epdf/10.22434/IFAMR2020.0030?role=tab" target="_blank" >https://www.wageningenacademic.com/doi/epdf/10.22434/IFAMR2020.0030?role=tab</a>

  • DOI - Digital Object Identifier

    <a href="http://dx.doi.org/10.22434/IFAMR2020.0030" target="_blank" >10.22434/IFAMR2020.0030</a>

Alternative languages

  • Result language

    angličtina

  • Original language name

    Assessing the financial health of agricultural enterprises incorporating the spatial dimension

  • Original language description

    In practice, different methods are used to assess the financial health of a company, and the fact that models use the various indicators complicates the comparison of their results. The aim of this paper was to identify the financial health of agricultural enterprises operating in the Slovak Republic using three selected creditworthy models (the Altman model, Taffler model and Bonity Index). It was concluded that the differences in the evaluations of agricultural enterprises using individual creditworthy models were significant. The analysis was supplemented by the spatial distribution of the enterprises at the level of individual regions of the Slovak Republic. It was confirmed that the spatial differences in the evaluations of agricultural enterprises using individual creditworthy models were not statistically significant and were therefore random. The proposal of own assessment of regions is based on the combination of the obtained results and their spatial distribution. We assume that such comprehensive assessment over a longer period of time may be an appropriate tool for assessing the financial health of agricultural enterprises, thus contribute to the early identification of potential risks and the long-term economic sustainability. This study can be the contribution in helping to design policies or effective solve the important challenges of agricultural enterprises to the path of sustainable development of the regions and to environmental management. (C) 2022 Vavrek et al.

  • Czech name

  • Czech description

Classification

  • Type

    J<sub>imp</sub> - Article in a specialist periodical, which is included in the Web of Science database

  • CEP classification

  • OECD FORD branch

    50202 - Applied Economics, Econometrics

Result continuities

  • Project

  • Continuities

    S - Specificky vyzkum na vysokych skolach

Others

  • Publication year

    2022

  • Confidentiality

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

Data specific for result type

  • Name of the periodical

    International Food and Agribusiness Management Review

  • ISSN

    1559-2448

  • e-ISSN

  • Volume of the periodical

    25

  • Issue of the periodical within the volume

    3

  • Country of publishing house

    NL - THE KINGDOM OF THE NETHERLANDS

  • Number of pages

    20

  • Pages from-to

    469-488

  • UT code for WoS article

    000797185600007

  • EID of the result in the Scopus database

    2-s2.0-85130204711