student from 01.01.2025 until now
Krasnodar, Krasnodar, Russian Federation
Krasnodar, Krasnodar, Russian Federation
JEL C23 Panel Data Models • Spatio-temporal Models
JEL O13 Agriculture • Natural Resources • Energy • Environment • Other Primary Products
The research considers the influence of government assistance measures on the main financial and economic aspects of agriculture in Russia, including the volume of capital investments and the overall profitability of the industry. The topic is particularly relevant due to the need for an accurate assessment of efficient budget money spending in limited funding and external problems such as economic constraints and weather risks. The research examines the effectiveness of subsidies, special payments, and tax breaks to promote investment and improve the financial performance of agricultural enterprises. Based on official Rosstat statistics and reports from the Ministry of Agriculture of Russia, we developed a special mathematical model based on aggregated data from ten Russian regions, 2010-2024. We also used the least squares approach adjusted for regional specifics. According to the results, there is a significant and statistically confirmed positive effect: the correlation coefficient for capital investment is 0.8029, for profitability – 0.0001. The model includes additional factors (local GDP and price growth) as effective ones in terms of this particular support. The research considers the territorial differences and time limits to suggest the practical guidance on improvement of existing approaches. The results are useful for effective development of the national agribusiness strategy, with an emphasis on targeted investments in new technologies. In general, the research helps to develop quantitative analysis tools in the agricultural sector and is prospective in terms of nonlinear dependencies and geography.
government assistance; profitability of agricultural sector; mathematical modelling; regional amendments; Russian agro-industrial complex
1. Aksyutina, S. V., & Mironenko, N. V. (2020). Current issues of the agricultural sector state regulation. Journal of International Economic Affairs, 10(4), 1469-1490. https://doi.org/10.18334/eo.10.4.111047 (in Russian).
2. Shagaida N., & Uzun V. (2015). Food security: Problems of assessing. Voprosy Ekonomiki, (5), 63-78. https://doi.org/10.32609/0042-8736-2015-5-63-78 (in Russian).
3. Shik, O. V., & Iynbykh, R. G. (2023). Assessment of the level of state support for the agro-industrial complex and proposals for increase its efficiency. APK i predlozheniya po povy`sheniyu eyo effektivnosti, (4), 3-16. DOI:https://doi.org/10.33305/234-3. EDN GYGUPW (in Russian).
4. Altuxov, A. I. (2015). The Grain and Food Subcomplex of the Country's Agro-Industrial Complex: Problems of Formation and Development. Ekonomika sel`skoxozyajstvennyh i pererabatyvayushhih predpriyatij, (6), 2–7 (in Russian).
5. Tuskov, A., & Goldueva, D. (2022). Econometric modeling of the International Happiness Index. Siberian Journal of Economic and Business Studies, 11(4), 77-95. https://doi.org/10.12731/2070-7568-2022-11-4-77-95 (in Russian).
6. Ledneva, O. V., & Tindova, M. G. (2025). Panel data in the analysis of the regional agro-industrial complex. Food Policy and Security, 12(2), 343-356. https://doi.org/10.18334/ppib.12.2.123105 (in Russian).
7. Aliyeva, Z. B. (2017). Preferential crediting as urgent instrument of the state financial support of agrarian and industrial complex. Finance: Theory and Practice, 21(4), 66–77. https://doi.org/10.26794/2587-5671-2017-21-4-66-77 (in Russian).
8. Dedeeva, S. A. (2014). Investicii v sel'skoe hozyaystvo: perspektivy razvitiya i riski. In Ekonomika, upravlenie, finansy: materialy III Mezhdunar. nauch. konf. (g. Perm', fevral' 2014 g.). (pp. 4-6). Perm': Merkurij. Retrieved from https://moluch.ru/conf/econ/archive/93/4867 (in Russian). EDN: https://elibrary.ru/SWKJGJ
9. D'yachenko, V. N. & Lazareva, V. V. (2020). The impact of agricultural transformations on the region's rural settlement system. Regional'naya ekonomika: teoriya i praktika, 18(12), 2256–2275. DOI:https://doi.org/10.24891/re.18.12.2256. EDN UFWDVF. https://moluch.ru/conf/econ/archive/93/4867 (in Russian).
10. Valiev, A. P., Nizamov, R. M., Safin R. I., Mukhametgaliev, F. N., & Nezhmetdinova, F. T. (2022). Priorities for the development of the agro-industrial complex and the tasks of agricultural science and education. Vestnik Kazanskogo gosudarstvennogo agrarnogo universiteta, 17(1), 97-107. DOI:https://doi.org/10.12737/2073-0462-2022-97-107. EDN BFQMKB (in Russian).
11. Ruban-Lazareva, N. (2025). Assessing the efficiency of budget expenditures on agro-industrial complex. APK: ekonomika, upravlenie, (2), 10-18. DOI:https://doi.org/10.33305/252-10. EDN HFSSQC (in Russian).
12. Gordeev, A. V. (2006). On measures to implement the priority national project "Development of the Agro-Industrial Complex". Ekonomika sel`skoxozyajstvennyh i pererabatyvayushhih predpriyatij, (1), 4-6. EDN KUGAAD (in Russian).
13. Zvereva, A. P., Nosova, O. E., & Skorobogatyh, E. Yu. (2022). Econometric Analysis of the Effectiveness of the State Support Program for Agriculture in the Kaliningrad Region // Vestnik molodezhnoj nauki, (4), 8 p. Retrieved from https://cyberleninka.ru/article/n/ekonometricheskiy-analiz-effektivnosti-programmy-gosudarstvennoy-podderzhki-selskogo-hozyaystva-v-kaliningradskoy-oblasti (accessed: 17.02.2026) (in Russian).
14. Meng, M., Yu, L., & Yu, X. (2024). Machinery structure, machinerysubsidies, and agricultural productivity: Evidence from China. Agricultural Economics, 55, 223–246. https://doi.org/10.1111/agec.12820
15. Kumari, P., & Dahiya, S. (2022). Determinants of Adoption of PM-KISAN Scheme: Empirical Evidence from Jhajjar District in Haryana. Journal of Rural Development, 41(4), 510–522. https://doi.org/10.25175/jrd/2022/v41/i4/166259
16. Shelamova, N. A. (2023). The impact of sanctions on the development of agriculture and the agro-food market in Russia. Ekonomika, trud, upravlenie v sel'skom hozyajstve, (9), 45-53. DOI:https://doi.org/10.33938/239-45 (in Russian). EDN: https://elibrary.ru/JZULJG
17. Gurnovich, T. G., Grigoryan, M. A., & Kurdakova, E. G. (2023). Strategic Planning in the Activities of Agricultural Organizations. Estestvenno-gumanitarnye issledovaniya, (4), 493-496. EDN LOYOGE (in Russian).
18. Samygin, D. Yu., & Kudryavcev, A. A. (2018). Strategic tools for distributing state support to the agricultural sector. Ekonomicheskaya politika, (5), 156-175. Retrieved from https://cyberleninka.ru/article/n/strategicheskie-instrumenty-raspredeleniya-gospodderzhki-agrarnogo-sektora (accessed: 11.10.2025) (in Russian).
19. Anopchenro, T. Yu., & Vetrova, E. V. (2024). Main trends and factors in the development of the Russian agro-industrial complex at the present stage. Ekonomicheskie nauki, (231), 41-46. DOI:https://doi.org/10.14451/1.231.41. EDN HITQKX (in Russian).
