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Evaluating the Financial Health of Agricultural Enterprises in the Conditions of the Slovak Republic Using Bankruptcy Models

Author

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  • Roman Vavrek

    (Faculty of Economics, VŠB—Technical University of Ostrava, Sokolská třída 33, 702 00 Ostrava, Czech Republic)

  • Ivana Kravčáková Vozárová

    (Faculty of Management, University of Prešov in Prešov, Konštantínova 16, 080 01 Prešov, Slovakia)

  • Rastislav Kotulič

    (Faculty of Management, University of Prešov in Prešov, Konštantínova 16, 080 01 Prešov, Slovakia)

Abstract

Under the influence of the change in the overall economic environment, the problem of measuring the performance of a company and its financial health is also changing. At present, every agricultural company is exposed to a number of internal as well as external risks, the failure of which can lead to potential bankruptcy. It is a known fact that the risks in agriculture are significantly greater than those in other sectors of the national economy. Proper diagnosis of critical aspects and measuring the development of individual financial indicators of agricultural holdings are basic prerequisites for eliminating these risks and maintaining, as well as increasing, their competitiveness. Among the key tools for measuring the financial situation of a company are bankruptcy models, three of which have been used (Altman model, Taffler model, and Bonity index). The aim of this study was to identify the comprehensive financial health of 469 agricultural enterprises in the Slovak Republic using the three above-mentioned bankruptcy models in 2016. The obtained results were verified using the Kruskal–Wallis test, Levene test, or Moran index. Altman’s model indicated potential future problems of businesses and agricultural cooperatives. Using the Bonity index, the neutral situation was assessed (the financial health could be regarded as neither insufficient nor optimal). Taffler model offered contradicted results and does not expect the occurrence of problems soon. In the study, we also verified the assumption of the dependence of financial health of companies on the legal form and territorial division, which was confirmed to be insignificant.

Suggested Citation

  • Roman Vavrek & Ivana Kravčáková Vozárová & Rastislav Kotulič, 2021. "Evaluating the Financial Health of Agricultural Enterprises in the Conditions of the Slovak Republic Using Bankruptcy Models," Agriculture, MDPI, vol. 11(3), pages 1-19, March.
    • Handle: RePEc:gam:jagris:v:11:y:2021:i:3:p:242-:d:515890
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    References listed on IDEAS

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    1. Ernesto Lopez‐Valeiras & Jacobo Gomez‐Conde & Teresa Fernandez‐Rodriguez, 2016. "Firm Size and Financial Performance: Intermediate Effects of Indebtedness," Agribusiness, John Wiley & Sons, Ltd., vol. 32(4), pages 454-465, November.
    2. Sjauw-Koen-Fa, August R. & Blok, Vincent & Omta, S.W.F. (Onno), 2016. "Critical Success Factors for Smallholder Inclusion in High Value-Adding Supply Chains by Food & Agribusiness Multinational Enterprise," International Food and Agribusiness Management Review, International Food and Agribusiness Management Association, vol. 19(1), pages 1-30, February.
    3. Edward I. Altman, 1968. "The Prediction Of Corporate Bankruptcy: A Discriminant Analysis," Journal of Finance, American Finance Association, vol. 23(1), pages 193-194, March.
    4. MCarmen Martínez†Victoria & Narciso Arcas Lario & Mariluz Maté Sánchez Val, 2018. "Financial behavior of cooperatives and investor†owned firms: An empirical analysis of the Spanish fruit and vegetable sector," Agribusiness, John Wiley & Sons, Ltd., vol. 34(2), pages 456-471, March.
    5. Ivana Kravčáková Vozárová & Rastislav Kotulič & Roman Vavrek, 2019. "Disparities in the financial performance of agricultural entities according to the legal form: the case of Slovakia," Applied Economics, Taylor & Francis Journals, vol. 51(56), pages 5999-6008, December.
    6. Altman, Edward I. & Haldeman, Robert G. & Narayanan, P., 1977. "ZETATM analysis A new model to identify bankruptcy risk of corporations," Journal of Banking & Finance, Elsevier, vol. 1(1), pages 29-54, June.
    7. Rafat Ali Mosa Ewaida (RAME) Soboh & Alfons Oude Lansink & Gert van Dijk, 2011. "Distinguishing dairy cooperatives from investor‐owned firms in Europe using financial indicators," Agribusiness, John Wiley & Sons, Ltd., vol. 27(1), pages 34-46, Winter.
    8. Nigel Purves & Scott James Niblock & Keith Sloan, 2015. "On the relationship between financial and non-financial factors," Agricultural Finance Review, Emerald Group Publishing Limited, vol. 75(2), pages 282-300, July.
    9. Johannes I. F. Henning & Henry Jordaan, 2016. "Determinants of Financial Sustainability for Farm Credit Applications—A Delphi Study," Sustainability, MDPI, vol. 8(1), pages 1-15, January.
    10. Adriana Csikosova & Maria Janoskova & Katarina Culkova, 2019. "Limitation of Financial Health Prediction in Companies from Post-Communist Countries," JRFM, MDPI, vol. 12(1), pages 1-14, January.
    11. Edward I. Altman, 1968. "Financial Ratios, Discriminant Analysis And The Prediction Of Corporate Bankruptcy," Journal of Finance, American Finance Association, vol. 23(4), pages 589-609, September.
    12. Katarina Valaskova & Pavol Durana & Peter Adamko & Jaroslav Jaros, 2020. "Financial Compass for Slovak Enterprises: Modeling Economic Stability of Agricultural Entities," JRFM, MDPI, vol. 13(5), pages 1-16, May.
    13. Alexander Zorn & Michele Esteves & Ivo Baur & Markus Lips, 2018. "Financial Ratios as Indicators of Economic Sustainability: A Quantitative Analysis for Swiss Dairy Farms," Sustainability, MDPI, vol. 10(8), pages 1-20, August.
    14. Thi Tam Duong & Tom Brewer & Jo Luck & Kerstin Zander, 2019. "A Global Review of Farmers’ Perceptions of Agricultural Risks and Risk Management Strategies," Agriculture, MDPI, vol. 9(1), pages 1-16, January.
    15. Ivana Kravčáková Vozárová & Rastislav Kotulič & Roman Vavrek, 2020. "Assessing Impacts of CAP Subsidies on Financial Performance of Enterprises in Slovak Republic," Sustainability, MDPI, vol. 12(3), pages 1-18, January.
    16. Anna Brzozowska & Dagmara Bubel, 2020. "Estimation of the Imperative of Rural Area Development on Panel Data in the Process of Managing Agricultural Holdings in Poland," Agriculture, MDPI, vol. 10(7), pages 1-20, July.
    17. Tomas Kliestik & Jaromir Vrbka & Zuzana Rowland, 2018. "Bankruptcy prediction in Visegrad group countries using multiple discriminant analysis," Equilibrium. Quarterly Journal of Economics and Economic Policy, Institute of Economic Research, vol. 13(3), pages 569-593, September.
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    Cited by:

    1. Giuseppe Timpanaro, 2023. "Agricultural Food Marketing, Economics and Policies," Agriculture, MDPI, vol. 13(4), pages 1-9, March.
    2. Lehenchuk, Serhii & Raboshuk, Alina & Valinkevych, Nataliia & Polishchuk, Iryna & Khodakyvskyy, Volodymyr, 2022. "Analysis of financial performance determinants: evidence from Slovak agricultural companies," Agricultural and Resource Economics: International Scientific E-Journal, Agricultural and Resource Economics: International Scientific E-Journal, vol. 8(4), December.
    3. Tyshchenko, Viktoriia & Achkasova, Svitlana & Karpova, Vlada & Kanyhin, Sergii, 2023. "Assesment the influence of debt capital on the bankruptcy of enterprises in the agricultural sector," Agricultural and Resource Economics: International Scientific E-Journal, Agricultural and Resource Economics: International Scientific E-Journal, vol. 9(2), June.

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