DIAGNOSTICS OF THE PROBABILITY OF BANKRUPTCY OF AN AGRICULTURAL SECTOR ENTERPRISE

Authors

  • Larysa Fedoryshyna dr.sc.(econ.), professor, professor at the department of management, economics, statistics and digital technologies, Leonid Yuzkov Khmelnytskyi University of Management and Law
  • Daryna Artemchuk candidate for Bachelor's degree in the specialty 073 Management, Leonid Yuzkov Khmelnytskyi University of Management and Law

DOI:

https://doi.org/10.37332/

Keywords:

agricultural sector, enterprise, bankruptcy, Lis model, diagnostics, Taffler model, risk, probability of bankruptcy

Abstract

Fedoryshyna L.M., Artemchuk D.V.  DIAGNOSTICS OF THE PROBABILITY OF BANKRUPTCY OF AN AGRICULTURAL SECTOR ENTERPRISE

Purpose. The aim of the article is to analysis of the operating environment of agricultural enterprises and determination of the probability of bankruptcy of LLC AE “AHROS-VISTA” with a comparison of the results obtained using different models.

Methodology of research. The following general and special research methods were used to achieve the set goal, in particular: analysis, monographic, abstract and logical, systematization ‒ to study the problems of agricultural enterprises and their characteristics, and to evaluate the performance indicators of enterprises; Lees and Taffler models ‒ to determine the probability of bankruptcy of LLC AE “AHROS-VISTA” in 2022‒2023; tabular ‒ for a visual presentation of the initial data and calculations performed.

Findings. Key problems of the functioning of agricultural enterprises were identified, including external risks associated with military operations; volatility of world and domestic markets; financial and credit constraints; technological and innovation challenges; personnel problems; climate and natural risks; uneven regional development; regulatory and institutional risks. The performance indicators of enterprises under СTЕA A01 (Classification of types of economic activity A01) Crop and animal production, hunting and related service activities for 2020-2024 were analysed. The probability of bankruptcy of LLC AE “AHROS-VISTA” was diagnosed using the Lis and Taffler models based on data from 2022‒2023 and it was found that it is not threatened with bankruptcy, since the calculated values significantly exceed the limit values.

Originality. The study of the operating environment of agricultural enterprises with the identification of key challenges, as well as determination of the probability of bankruptcy of an agricultural enterprise, has received further development.

Practical value. The results of the study can become the basis for further scientific research in the context of improving existing/searching for new models for predicting the probability of bankruptcy of agricultural enterprises, taking into account its specifics (dependence on weather conditions, uneven cash flows, volatility of the world agricultural market, etc.).

Key words: agricultural sector, enterprise, bankruptcy, Lis model, Taffler model, diagnostics, risk, probability of bankruptcy.

References

1. Laptiev, M., Laptiev, S., Zakharov, O., Pazieieva, H. and Tymoshenko, A. (2025), “Assessment of the probability of bankruptcy in the system of increasing the effectiveness of anti-crisis management of the enterprise”, Financial and Credit Activity Problems of Theory and Practice, Volume 4(63), pp. 206-215, DOI: https://doi.org/10.55643/fcaptp.4.63.2025.4856.

2. Vintoniak, A. And Chubai, V. (2024), “Methods of analyzing the threat of bankruptcy of enterprises and factors influencing the change in its level”, Ekonomika ta suspilstvo, Issue no. 61, DOI: https://doi.org/10.32782/2524-0072/2024-61-45.

3. Bachkir, I.H. (2020), “The problem of diagnosing bankruptcy of enterprises: analysis of existing approaches and methods of assessment”, Efektyvna ekonomika, DOI: 10.32702/2307-2105-2020.7.204.

4. Bilychenko, M.M. (2024), “Assessment of the financial security of an enterprise using machine learning methods”, Tsyfrova ekonomika ta ekonomichna bezpeka, Issue 4(13), pp. 101-107, DOI: https://doi.org/10.32782/dees.13-15.

5. Vochozka, M., Vrbka, J. and Suler, P. (2020), “Bankruptcy or Success? The Effective Prediction of a Company’s Financial Development Using LSTM”, Sustainability, no. 12(18), DOI: 10.3390/su12187529.

6. Jabeur, S.B., Stef, N. and Carmona, P. “Bankruptcy Prediction using the XGBoost Algorithm and Variable Importance Feature Engineering”, available at: https://roderic.uv.es/rest/api/core/ bitstreams/e531eb35-8e15-4866-9b8f-9b3b2c8bb441/content (access date August 31, 2025).

7. Miroshnychenko, I.V. and Krupin, V.K. (2022), “Forecasting enterprise bankruptcy using machine learning algorithms”, Investytsii: praktyka ta dosvid, no. 4, pp. 86-92.

8. “State Statistics Service of Ukraine: official website”, available at: https://www.ukrstat.gov.ua/operativ/menu/menu_u/sze_20.htm (access date August 31, 2025).

9. Lisnichuk, O.A. and Vynohradova, F.V. (2018), “Models for calculating the probability of bankruptcy as a method for assessing the financial potential of an enterprise”, Naukovyi visnyk Mizhnarodnoho humanitarnoho universytetu, Issue 33, pp. 111-116, available at: http://vestnik-econom.mgu.od.ua/journal/2018/33-2018/17.pdf (access date August 31, 2025).

10. Opendatabot (2025), “LLC AE "AHROS-VISTA"”, available at: https://opendatabot.ua/c/23651875 (access date August 31, 2025).

Downloads

Published

2025-09-30

Issue

Section

Статті

How to Cite

“DIAGNOSTICS OF THE PROBABILITY OF BANKRUPTCY OF AN AGRICULTURAL SECTOR ENTERPRISE”. INNOVATIVE ECONOMY, no. 3, Sept. 2025, pp. 93-99, https://doi.org/10.37332/.