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Evaluation of Risk Value of Investors of Projects for the Creation of Crop Protection of Family Dairy Farms

Author

Listed:
  • Anatoliy Tryhuba

    (Faculty of Mechanics and Power Engineering, Lviv National Agrarian University, str. Vladimir the Great, 1, Dublyany, Zhovkva district, Lviv region, 80381, Ukraine)

  • Vitalij Boyarchuk

    (Faculty of Mechanics and Power Engineering, Lviv National Agrarian University, str. Vladimir the Great, 1, Dublyany, Zhovkva district, Lviv region, 80381, Ukraine)

  • Inna Tryhuba

    (Faculty of of Agrotechnology and Ecology, Lviv National Agrarian University, str. Vladimir the Great, 1, Dublyany, Zhovkva district, Lviv region, 80381, Ukraine)

  • Oleh Boyarchuk

    (Faculty of Mechanics and Power Engineering, Lviv National Agrarian University, str. Vladimir the Great, 1, Dublyany, Zhovkva district, Lviv region, 80381, Ukraine)

  • Oksana Ftoma

    (Faculty of Economics, Lviv National Agrarian University, str. Vladimir the Great, 1, Dublyany, Zhovkva district, Lviv region, 80381, Ukraine)

Abstract

The analysis of the status and trends of the development of territorial communities in Ukraine is carried out. The expediency of the development of tools for assessing the risk of investors' value in projects for the creation of cooperatives for the provision of family dairy farms is substantiated. The model and computer program of risk assessment of investors' value of projects based on the use of probability theory, methods of mathematical statistics and modeling of work execution for determination of variable costs for feed production are developed. It has been established that there are three scenarios for the formation of the value of investors for the creation of FC projects and three zones of their risk. The initial data are grounded for assessing the risk of investors investing in projects for the creation of cooperatives for the provision of family dairy farms. The study of the characteristics of the project environment for the conditions of the "Pokrova" SOK has been performed, which is located on the territory of the Zabolotiv's community of the Brody district of the Lviv region. The statistical characteristics of distribution of expenses for production of feed, their market value and profit of investors of cooperatives forage supply of family dairy farms are substantiated. The level of risk of obtaining value from investments in the project of establishing a cooperative of forage provision of family dairy farms with a given minimum value of their profit is determined.

Suggested Citation

  • Anatoliy Tryhuba & Vitalij Boyarchuk & Inna Tryhuba & Oleh Boyarchuk & Oksana Ftoma, 2019. "Evaluation of Risk Value of Investors of Projects for the Creation of Crop Protection of Family Dairy Farms," Acta Universitatis Agriculturae et Silviculturae Mendelianae Brunensis, Mendel University Press, vol. 67(5), pages 1357-1367.
    • Handle: RePEc:mup:actaun:actaun_2019067051357
    DOI: 10.11118/actaun201967051357
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    References listed on IDEAS

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    1. Andrey Shorikov & Vitalina Babenko, 2014. "Optimization of assured result in dynamical model of management of innovation process in the enterprise of agricultural production complex," Economy of region, Centre for Economic Security, Institute of Economics of Ural Branch of Russian Academy of Sciences, vol. 1(1), pages 196-201.
    2. Zdeněk Konečný & Marek Zinecker, 2015. "Measuring Risk Structure Using the Capital Asset Pricing Model," Acta Universitatis Agriculturae et Silviculturae Mendelianae Brunensis, Mendel University Press, vol. 63(1), pages 227-233.
    3. Zdeněk Konečný & Marek Zinecker, 2016. "Optimizing Risk Structure in Connection with the Corporate Life Cycle and Sector Cyclicity," Acta Universitatis Agriculturae et Silviculturae Mendelianae Brunensis, Mendel University Press, vol. 64(3), pages 949-959.
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    Cited by:

    1. Inna Tryhuba & Anatoliy Tryhuba & Taras Hutsol & Agata Cieszewska & Oleh Andrushkiv & Szymon Glowacki & Andrzej Bryś & Sergii Slobodian & Weronika Tulej & Mariusz Sojak, 2024. "Prediction of Biogas Production Volumes from Household Organic Waste Based on Machine Learning," Energies, MDPI, vol. 17(7), pages 1-20, April.
    2. Zhigui Guan & Yuanjun Zhao & Guojing Geng, 2022. "The Risk Early-Warning Model of Financial Operation in Family Farms Based on Back Propagation Neural Network Methods," Computational Economics, Springer;Society for Computational Economics, vol. 60(4), pages 1221-1244, December.
    3. Anatoliy Tryhuba & Taras Hutsol & Maciej Kuboń & Inna Tryhuba & Serhii Komarnitskyi & Sylwester Tabor & Dariusz Kwaśniewski & Krzysztof Mudryk & Oleksandr Faichuk & Tetyana Hohol & Wioletta Tomaszewsk, 2022. "Taxonomy and Stakeholder Risk Management in Integrated Projects of the European Green Deal," Energies, MDPI, vol. 15(6), pages 1-15, March.

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