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Forecasting Parameters of Farm Development At the Regional Level Using the STELLA Program

Author

Listed:
  • Savka Mariia

    (PhD in Economics, Karpatnaftochim LTD, 4 Industrial str., 77306, Ivano-Frankivsk region, Kalush, Ukraine, Phone No.: +380503731070)

  • Cherneviy Yurii

    (Prof. Dr., Vasyl Stefanyk Precarpathian National University, 57 Shevchenko str., 76010, Ivano-Frankivsk, Ukraine, Phone No.: +380665340809)

  • Yatsiv Ihor

    (Prof. Dr. Lviv National Environmental University, 1, V. Velykoho str., 80381, Dubliany – Lviv, Ukraine, Phone No.: +380975138522)

  • Balaniuk Ivan

    (Prof. Dr. Vasyl Stefanyk Precarpathian National University, 57, Shevchenka st.76010, Ivano-Frankivsk, Ukraine, Phone No.: +380503733282)

  • Shelenko Diana

    (Prof. Dr. Vasyl Stefanyk Precarpathian National University, 57, Shevchenka st. 76010, Ivano-Frankivsk, Ukraine, Phone No.: +380990662326)

  • Yatsiv Svitlana

    (PhD in Economics, Associate Professor, Lviv National Environmental University, 1 V. Velykoho str., Dubliany – Lviv, 80381, Ukraine, Phone No.: +380673931061)

Abstract

Given the importance of forecasting the production of agricultural products by farms, the study created an original model in the STELLA program, which identified the impact on the number of agricultural enterprises, land area and fertilizers. The created model showed that in Ivano-Frankivsk region by 2030 with the stabilization of the number of agricultural enterprises, land area and the increase in mineral fertilizers per hectare of sown area may increase agricultural production by farms. This will help solve important issues for the region and the state in general, related to strengthening food security, ensuring the social development of rural areas. The prognostic changes in the volume of agricultural production determined by the STELLA program by farms of the region until 2030 can be the basis for the development of a promising model of the agricultural production system at the regional level.

Suggested Citation

  • Savka Mariia & Cherneviy Yurii & Yatsiv Ihor & Balaniuk Ivan & Shelenko Diana & Yatsiv Svitlana, 2022. "Forecasting Parameters of Farm Development At the Regional Level Using the STELLA Program," Management Theory and Studies for Rural Business and Infrastructure Development, Sciendo, vol. 44(2), pages 209-222, June.
    • Handle: RePEc:vrs:mtrbid:v:44:y:2022:i:2:p:209-222:n:11
    DOI: 10.15544/mts.2022.22
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    References listed on IDEAS

    as
    1. Jill K. Clark & Darla K. Munroe & Becky Mansfield, 2010. "What counts as farming: how classification limits regionalization of the food system," Cambridge Journal of Regions, Economy and Society, Cambridge Political Economy Society, vol. 3(2), pages 245-259.
    2. Falconnier, Gatien N. & Descheemaeker, Katrien & Traore, Bouba & Bayoko, Arouna & Giller, Ken E., 2018. "Agricultural intensification and policy interventions: Exploring plausible futures for smallholder farmers in Southern Mali," Land Use Policy, Elsevier, vol. 70(C), pages 623-634.
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    More about this item

    Keywords

    farms; prognostication; Ukraine; small agrarian business; economic competition;
    All these keywords.

    JEL classification:

    • C59 - Mathematical and Quantitative Methods - - Econometric Modeling - - - Other
    • O12 - Economic Development, Innovation, Technological Change, and Growth - - Economic Development - - - Microeconomic Analyses of Economic Development
    • Q12 - Agricultural and Natural Resource Economics; Environmental and Ecological Economics - - Agriculture - - - Micro Analysis of Farm Firms, Farm Households, and Farm Input Markets

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