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Modeling of Added Value as a Financial Indicator of Activity of Agricultural Enterprises in the Regions of Ukraine

Author

Listed:
  • Levandivskyi Omelian

    (Prof. Dr., Vasyl Stefanyk Precarpathian National University, 57, Shevchenka st., Ivano Frankivsk, Ukraine)

  • Shpykuliak Oleksandr

    (Prof. Dr. corresponding member of NAAS, academic secretary, National Scientific Centre, Heroiv Oborony str., Kyiv, Ukraine)

  • Balaniuk Ivan

    (Prof. Dr. Vasyl Stefanyk Precarpathian National University, 57, Shevchenka st., Ivano-Frankivsk, Ukraine)

  • Svynous Ivan

    (Prof. Dr. Bila Tserkva National Agrarian University, pl. 8/1 Soborna, Bila Tserkva, Ukraine)

  • Shelenko Diana

    (Prof. Dr. Vasyl Stefanyk Precarpathian National University, 57, Shevchenka st., Ivano-Frankivsk, Ukraine)

Abstract

The added value of agricultural enterprises in the regions of Ukraine has been examined in the article. Emphasis is placed on certain indicators in the assessment of added value of agricultural enterprises, which directly affect its formation. The method of added value formation in the activity of agricultural enterprises in the regions of Ukraine is considered. A forecast of added value in the activities of agricultural enterprises has been made on the basis of the STELLA program, which made it possible to show its growth due to the following factors: wages, capital investments and direct material costs. Suggestions were proposed to increase added value in the activities of agricultural enterprises in the regions of Ukraine due to the growth of capital investments, wages, balancing direct material costs. The results of the forecast obtained with the help of STELLA program, as well as the results of the conducted researches will promote the deepening of methodical experience in the field of modeling with application of approaches of system dynamics.

Suggested Citation

  • Levandivskyi Omelian & Shpykuliak Oleksandr & Balaniuk Ivan & Svynous Ivan & Shelenko Diana, 2022. "Modeling of Added Value as a Financial Indicator of Activity of Agricultural Enterprises in the Regions of Ukraine," Management Theory and Studies for Rural Business and Infrastructure Development, Sciendo, vol. 44(3), pages 288-301, September.
    • Handle: RePEc:vrs:mtrbid:v:44:y:2022:i:3:p:288-301:n:11
    DOI: 10.15544/mts.2022.30
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    References listed on IDEAS

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    2. David N. Ford, 2019. "A system dynamics glossary," System Dynamics Review, System Dynamics Society, vol. 35(4), pages 369-379, October.
    3. Oleksandr Shpykuliak & Ilona Bilokinna, 2019. ""Green" Cooperatives In The Formation Of An Institutional Mechanism Of Development Of Alternative Power Engineering In The Agrarian Sector Of The Economy," Baltic Journal of Economic Studies, Publishing house "Baltija Publishing", vol. 5(2).
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    5. Ivan Balaniuk & Ihor Kozak & Diana Shelenko & Sergiy Balaniuk & Iryna Kozak-Balaniuk, 2019. "Forecasting of Gross Agricultural Output of Agrarian Enterprises of Ukraine: Case Study with STELLA Software," Economic Studies journal, Bulgarian Academy of Sciences - Economic Research Institute, issue 5, pages 148-163.
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    More about this item

    Keywords

    agricultural enterprises; added value; STELLA programs; direct material costs; capital investments;
    All these keywords.

    JEL classification:

    • C59 - Mathematical and Quantitative Methods - - Econometric Modeling - - - Other
    • Q14 - Agricultural and Natural Resource Economics; Environmental and Ecological Economics - - Agriculture - - - Agricultural Finance
    • O16 - Economic Development, Innovation, Technological Change, and Growth - - Economic Development - - - Financial Markets; Saving and Capital Investment; Corporate Finance and Governance

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