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Financial performance determinants of Ukrainian agricultural companies in the pre-war period

Author

Listed:
  • Lehenchuk, Serhii
  • Raboshuk, Alina
  • Zhyhlei, Iryna
  • Zakharov, Dmytro
  • Fedoryshyna, Lidiia

Abstract

Purpose. The purpose of the article is to identify the determinants of the financial performance of agricultural companies in Ukraine in the pre-war period. Methodology / approach. Panel data regression analysis, carried out using the GRETL software, was used as a research method. The financial statements of thirty Ukrainian agricultural companies over the defined period 2015–2021 were selected to be data for analysis. Three models were constructed in the article based on the use of three different dependent variables (Return on Assets, Return on Equity, Return on Sales) and seven independent variables (Current Ratio, Capital Intensity, Export Intensity, Leverage, Size, Dummy variable for agricultural sub-sectors, Dummy variable for location). The selection of the mentioned independent variables was logically substantiated by the structure of the financial reports of the Ukrainian agricultural companies and analytical system “You Control”. Results. The study of the determinants of financial performance of the agricultural companies is a widespread area of research among academicians, however, is characterized by quite controversial results. Some of these conclusions were refuted, but certain results were confirmed on the example of Ukrainian enterprises. The results of the panel regression analysis with respect to Models 1-3, partially are in contradiction with the conclusions of other studies regarding the impact of the determinants on the financial performance of agricultural companies. None of the chosen independent variables has a significant effect on all the dependent variables as investigated in the article, namely ROA, ROE, and ROS. This confirms the formulated in the study hypothesis regarding the availability of a unique set of financial performance determinants for agricultural enterprises for each individual country. The independent variables used in the study have the most significant impact on ROA. Primarily, ROA is significantly affected by CAPI (5 % level), EXPI (10 % level), and DVL (5 % level). The results obtained confirm a need for improving regional support and ensuring an access to capital for agricultural enterprises in Ukraine. Originality / scientific novelty. The originality of the conducted research lies in the study of a set of factors that influenced the financial condition of Ukrainian agrarian companies in the pre-war period, considering the peculiarities of the Ukrainian agrarian sector of the economy. Practical value / implications. Investors and financial institutions can benefit from the research results. By recognizing which factors have the most significant impact on financial performance, they can make more informed decisions when considering investments in Ukrainian agricultural companies. Understanding which factors influence financial performance can help in risk management for both agricultural companies and financial institutions.

Suggested Citation

  • Lehenchuk, Serhii & Raboshuk, Alina & Zhyhlei, Iryna & Zakharov, Dmytro & Fedoryshyna, Lidiia, 2023. "Financial performance determinants of Ukrainian agricultural companies in the pre-war period," Agricultural and Resource Economics: International Scientific E-Journal, Agricultural and Resource Economics: International Scientific E-Journal, vol. 9(4), December.
    • Handle: RePEc:ags:areint:341543
    DOI: 10.22004/ag.econ.341543
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    1. MCarmen Martínez†Victoria & Mariluz Maté Sánchez†Val & Narciso Arcas†Lario, 2018. "Spatial determinants of productivity growth on agri†food Spanish firms: a comparison between cooperatives and investor†owned firms," Agricultural Economics, International Association of Agricultural Economists, vol. 49(2), pages 213-223, March.
    2. Filip Hampl, 2020. "A statistical analysis of the financial performance of organic and conventional farms in the Czech Republic with respect to their size," Agricultural Economics, Czech Academy of Agricultural Sciences, vol. 66(1), pages 1-9.
    3. Ani L. Katchova & Sierra J. Enlow, 2013. "Financial performance of publicly‐traded agribusinesses," Agricultural Finance Review, Emerald Group Publishing Limited, vol. 73(1), pages 58-73, May.
    4. Lerman, Zvi & Parliament, Claudia, 1991. "Size and industry effects in the performance of agricultural cooperatives," Agricultural Economics, Blackwell, vol. 6(1), pages 15-29, October.
    5. Kucher, Anatolii, 2020. "Soil fertility, financial support, and sustainable competitiveness: evidence from Ukraine," Agricultural and Resource Economics: International Scientific E-Journal, Agricultural and Resource Economics: International Scientific E-Journal, vol. 6(2), June.
    6. Ani L. Katchova & Sierra J. Enlow, 2013. "Financial performance of publicly‐traded agribusinesses," Agricultural Finance Review, Emerald Group Publishing Limited, vol. 73(1), pages 58-73, May.
    7. Feng Wei & Jiawei Lu & Yu Kong, 2017. "Research on Sustainability Financial Performance of Chinese Listed Companies," Sustainability, MDPI, vol. 9(5), pages 1-17, April.
    8. Alrowwad, Anas Mohammad & Alhasanat, Khaled Ahmad & Sokil, Oleh & Halko, Serhii & Kucherkova, Svitlana, 2022. "Sustainable transformation of accounting in agriculture," Agricultural and Resource Economics: International Scientific E-Journal, Agricultural and Resource Economics: International Scientific E-Journal, vol. 8(2), June.
    9. Oleksii Mohylnyi & Nataliia Patyka & Anatolii Kucher & Vitaliy Krupin & Agnieszka Siedlecka & Marcin Wysokiński, 2022. "Features of Agrarian Sector Deregulation in the Context of Martial Law: Shocks in Food Security," Sustainability, MDPI, vol. 14(20), pages 1-26, October.
    10. 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.
    11. Samuel Kanga Odalo & George Achoki & Amos Njuguna, 2016. "Relating Company Size and Financial Performance in Agricultural Firms Listed in the Nairobi Securities Exchange in Kenya," International Journal of Economics and Finance, Canadian Center of Science and Education, vol. 8(9), pages 34-40, September.
    12. 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.
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