Forecast parameters of the crop industry development in the Rostov region


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Abstract

The paper describes the forecast parameters of the sustainable development of the crop industry in the Rostov region, which determine the key trends of the agricultural sector of the region. The data of the Ministry of Agriculture and Food of the Rostov region, research papers and scientific publications on this problem were used as the analytical base for conducting the research. The research involved the analysis of the current state of the crop production industry in the Rostov region and an assessment of its resource potential. Studies have shown that the effective use of the existing resource potential of the industry in the region in conditions of its significant dependence on the imported seed material and technologies makes it possible to ensure sustainable qualitative dynamics of its development. The paper argues that the use of a scientifically based agricultural system makes allows stimulating positive dynamics of economic growth without additional financial investments. This scientifically based approach is the basis for the development of the forecast parameters for the crop production industry development. The process of forecasting based on trend modeling of crop yields and rationalization of the cropping plan, methods of chain substitutions, and expert assessments resulted in three forecast scenarios for the development of the industry: the first (target), the second (inertial) and the third (mixed). The implementation of the first (target) option involves an increase in the yield of cultivated crops, taking into account the use of high-quality seed material and optimal weather conditions, as well as the transition to a scientifically based structure of cropping pattern. The inertial option is based on the rationalization of the agricultural land structure while maintaining the current yield. The mixed variant is characterized by an increase in yield with a constant structure of the area of sowing. The most preferred and promising option for the crop production industry in the Rostov region is the implementation of the target option. Ignoring the science-based approach in the long term prevents from full unlocking the regional potential of the industry.

About the authors

Vladimir Vasilyevich Kuznetsov

Rostov State University of Economics,
Rostov-on-Don

Email: kholodovama@rambler.ru
ORCID iD: 0000-0003-3676-1349

Doctor of Sciences (Economics), Professor, Academician of the Russian Academy of Sciences, Honored Scientist of the Russian Federation, chief scientist of the Department “Agrarian Economics and Standards”

Russian Federation

Oleg Andreevich Kholodov

Rostov State University of Economics,
Rostov-on-Don

Email: 9034332466@mail.ru
ORCID iD: 0000-0002-3629-8086

Doctor of Sciences (Economics), professor of Chair “Analysis of Economic Activity and Forecasting”

Russian Federation

Tamara Ivanovna Sharovatova

Federal Rostov Agricultural Research Centre, Rostov Region, Aksay District, Rassvet Village

Author for correspondence.
Email: tamara-sharovatova@yandex.ru
ORCID iD: 0000-0003-0772-5314

PhD (Economics), Associate Professor, senior researcher of the Department “Agrarian Economics and Standards”

Russian Federation

References

  1. Ushachev I.G., Kharina M.V., Chekalin V.S. Long-term forecast of agricultural development in Russia based on an economic and mathematical model. Studies on Russian Economic Development, 2022, vol. 33, no. 3, pp. 282–292. doi: 10.1134/S1075700722030157.
  2. Svetlov N.M., Siptits S.O., Romanenko I.A., Evdokimova N.E. The effect of climate change on the location of branches of agriculture in Russia. Studies on Russian Economic Development, 2019, vol. 30, no. 4, pp. 406–418. doi: 10.1134/S1075700719040154.
  3. Kholodova M.A. The role and significance of scientific prediction in modern economy. Vestnik Povolzhskogo gosudarstvennogo tekhnologicheskogo universiteta. Seriya: Ekonomika i upravlenie, 2021, no. 3, pp. 45–54. doi: 10.25686/2306-2800.2021.3.45.
  4. Petrushina O.V., Zhilyakov D.I. Methodological aspects of forecasting the results of the agrarian policy of the state. Innovatsii v APK: problemy i perspektivy, 2022, no. 4, pp. 122–125. EDN: LYPVRS.
  5. Altukhov A.I., ed. Prostranstvennoe razvitie selskogo khozyaystva Rossii [Spatial development of agriculture in Russia]. Moscow, Nauchnyy konsultant Publ., 2021. 324 p.
  6. Golubev A.V. Opportunities for the development of Russian crop production in the context of global challenges. Agrarnyy nauchnyy zhurnal, 2020, no. 11, pp. 4–10. doi: 10.28983/asj.y2020i11pp4-10.
  7. Samygin D.Yu. Territorial planning of agriculture, taking into account the tasks and challenges of food security. APK: ekonomika, upravlenie, 2021, no. 4, pp. 29–38. doi: 10.33305/214-29.
  8. Ternovykh K.S., Avdeev E.V., Kozlov A.A. Forecasting regional agricultural investment needs. Innovatsii v APK: problemy i perspektivy, 2022, no. 4, pp. 133–139. EDN: SLDRZV.
  9. Ulezko A.V., Kovalenko Yu.N., Reymer V.V. The prospective parameters of the development of agro-food complex of the Voronezh region. APK: Ekonomika, upravlenie, 2019, no. 7, pp. 4–12. doi: 10.33305/197-4.
  10. Isaeva O.V. The modern state and forecast model of the development of the agrarian structure of the domestic agro-industrial complex. Agrarnyy vestnik Urala, 2022, no. 6, pp. 78–87. doi: 10.32417/1997-4868-2022-221-06-78-87.
  11. Kuznetsov V.V., Kholodova M.A. Assessment of the validity and practical feasibility of target indicators for the development of the livestock industry in the region within the framework of the state program. Ekonomika selskokhozyaystvennykh i pererabatyvayushchikh predpriyatiy, 2023, no. 8, pp. 13–17. doi: 10.31442/0235-2494-2023-0-8-13-17.
  12. Serkov A.F., Chekalin V.S., Kharina M.V. The approaches to forecasting food consumption by the Russian population. APK: ekonomika i upravlenie, 2020, no. 1, pp. 4–15. doi: 10.33305/201-4.
  13. Shestakov R.B., Lovchikova E.I. Justification of agricultural production forecasts and problems of their relevant implementation (on the example of the Orel region). Vestnik agrarnoy nauki, 2020, no. 3, pp. 159–166. doi: 10.17238/issn2587-666X.2020.3.159.
  14. Paptsov A.G., Altukhov A.I., Kashevarov N.I. et al. Prognoz nauchno-tekhnologicheskogo razvitiya otrasli rastenievodstva, vklyuchaya semenovodstvo i organicheskoe zemledelie Rossii, v period do 2030 goda [Forecast of scientific and technological development of the crop industry, including seed production and organic farming in Russia, in the period up to 2030]. Novosibirsk, Novosibirskiy gosudarstvennyy agrarnyy universitet Publ., 2019. 100 p.
  15. Altukhov A.I., Semkin A.G., Bykov V.G., Piatinskiy A.S. Strategic areas of distribution and specialization in terms of development of the management of agricultural production. Lecture Notes in Networks and Systems, 2021, vol. 198, pp. 805–815. doi: 10.1007/978-3-030-69415-9_92.
  16. Bespakhotnyy G.V. Planning of development of agrarian and industrial complex and cooperation. Fundamentalnye i prikladnye issledovaniya kooperativnogo sektora ekonomiki, 2019, no. 2, pp. 10–16. EDN: HNBXWN.
  17. Kosenchuk O.V. Strategic approach to the multifunctional development of agriculture and agricultural territories. Ekonomika i predprinimatelstvo, 2019, no. 11, pp. 306–311. EDN: MOFPAU.
  18. Ushachev I.G., Serkov A.F., Bondarenko L.V., Maslova V.V. Scientific approaches to adjust the strategy of development of agro-industrial and fisheries complexes for the period up to 2030. APK: Ekonomika, upravlenie, 2023, no. 7, pp. 3–14. doi: 10.33305/237-3.
  19. Shvaleva A.V., Altaeva A.K. Methods of extrapolation in forecasting. Nauka i proizvodstvo Urala, 2017, no. 13, pp. 106–108. EDN: ZCJCJH.

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