Conceptual model of state support for the digital transformation of agriculture in Russia: ecosystem for creating end-to-end value chains
EDN: GMKXWN
Abstract
The purpose of the study is to develop a new model of state support for the digital transformation of agriculture in Russia, which is focused not on fragmentary subsidies for the purchase of equipment and software, but on stimulating the formation of end-to-end digital value chains. The objectives of the study include analyzing the institutional limitations of existing state support mechanisms, justifying the need for a transition to an ecosystem approach where the state acts as the architect of the digital environment, and developing a set of institutional innovations, including industry-specific data exchange standards, a trusted environment for anonymized information exchange, and the priority development of telecommunications infrastructure. The research methodology is based on a systemic-institutional approach, methods of analyzing the regulatory framework, comparative analysis of international practices, and modeling of institutional interactions. The research results are presented in the form of a conceptual model of state support, which includes four key areas: regulatory and legal regulation of agro-data circulation, infrastructure support for digital connectivity, institutionalization of competence centers, and mechanisms for stimulating data cooperation. The scientific novelty lies in the integration of digital ecosystem management principles with agricultural policy tools, which helps to overcome the problem of “digital islands.” The practical significance of the work lies in the possibility of using the proposed model by the Russian Ministry of Agriculture and regional authorities to develop targeted support programs that involve the targeted allocation of funds from the federal and regional budgets (including through public-private partnership mechanisms) to small and medium-sized agricultural producers, scientific and consulting organizations, for connecting to high-speed digital infrastructure, integrating into industry-specific data marketplaces, and developing personnel competencies.
Keywords
About the Author
M. S. PetukhovaRussian Federation
Marina S. Petukhova – Doctor of Economics, Vice-Rector for Development
Scopus Author ID: 56658445600, ResearcherID Web of Science: N-9839–2017
160, Dobrolyubova street, Novosibirsk, 630039
References
1. Abdrakhmanova, G.I., Vishnevskiy, K.O., Gokhberg, L.M., et al. (2022). Digital transformation: Expectations and reality. HSE Publishing House. (in Russian)
2. Agafonova, O.V. (2023). Assessment of the level of digital transformation of agriculture in Russia in the context of a phased transition. Bulletin of the Siberian Institute of Business and Information Technology, 12(3), 61–66. EDN: DAWPKZ (in Russian) https://doi.org/10.24412/2225-8264-2023-3-61-66
3. Agafonova, O.V., & Petukhova, M.S. (2025). Methodological foundations for calculating the integral index of digital transformation in agriculture. Economics of Agriculture of Russia, (5), 78–85. EDN: NMOAQZ (in Russian) https://doi.org/10.32651/255–78
4. Eremin, S.G. (2025). Digital technologies and big data in the transformation of agriculture: Opportunities and problems. Agricultural Science, (3), 160–164. EDN: MPOHUD (in Russian) https://doi.org/10.32634/0869-8155-2025-392-03-160-164
5. Petukhova, M.S., & Agafonova, O.V. (2023). Theoretical and methodological foundation of digital transformation of agriculture in Russia: Basic concepts and stages. Agrarian Bulletin of the Urals, (4), 79–89. EDN: HCYKDP (in Russian) https://doi.org/10.32417/1997-4868-2023-233-04-79-89
6. Petukhova, M.S., & Agafonova, O.V. (2025). Conceptual model of digital transformation of agriculture in Russia. International Agricultural Journal, 68(7), 901–906. EDN: KNWYRN (in Russian) https://doi.org/10.55186/25876740_2025_68_7_901
7. Popov, E.V., & Simonova, V.L. (2022). The potential of digitalization of the company’s ecosystem. Management Issues, (1), 34–46. EDN: WIJLDI (in Russian) https://doi.org/10.22394/2304-3369-2022-1-34-46
8. Kleyner, G.B. (2020). The economics of ecosystems: A road to the future. In M.A. Borovskaya, G.B. Kleyner, et al. (Eds.), Ecosystems in the space of the new economy (pp. 15–40). Southern Federal University Press. (in Russian)
9. Sukharev, O.S. (2024). «Economics of Technology» as a field of science: Retrospective and prospect. Economics of Science, 10(1), 41–53. EDN: ASECXX (in Russian) https://doi.org/10.22394/2410-132X-2024-10-1-41-53
10. Bekee, B., Segovia, M.S., & Valdivia, C. (2024). Adoption of smart farm networks: A translational process to inform digital agricultural technologies. Agriculture and Human Values, 41, 1573–1590. EDN: BHSJPH, https://doi.org/10.1007/s10460-024-10550-2
11. Bähr, K., & Fliaster, A. (2023). The twofold transition: Framing digital innovations and incumbents’ value propositions for sustainability. Business Strategy and the Environment, 32, 920–935. EDN: RESEUZ, https://doi.org/10.1002/bse.3190
12. Fielke, S., Taylor, B., & Jakku, E. (2020). Digitalisation of agricultural knowledge and advice networks: A state-of-the-art review. Agricultural Systems, 180, 102763. EDN: NJGSSD, https://doi.org/10.1016/j.agsy.2020.102763
13. Papadopoulos, G., et al. (2024). Economic and environmental benefits of digital agricultural technologies in crop production: A review. Smart Agricultural Technology, 8, 100441. EDN: BVIYEL, https://doi.org/10.1016/j.atech.2024.100441
14. Singh, K., Kolar, P., et al. (2024). Digital agricultural ecosystem: Revolutionary advancements in agriculture (pp. 3–16). Scrivener Publishing LLC.
15. Vahdanjoo, M., Sørensen, C.G. & Nørremark, M. (2025). Digital transformation of the agri-food system. Current Opinion in Food Science, 63, 101287. https://doi.org/10.1016/j.cofs.2025.101287
16. Ren, J., Chen, X., Shi, L., Lui, P., & Tan, Z. (2024). Digital Village Construction: A Multi-Level Governance Approach to Enhance Agroecological Efficiency. Agriculture, 14(3), 478. https://doi.org/10.3390/agriculture14030478
Review
For citations:
Petukhova M.S. Conceptual model of state support for the digital transformation of agriculture in Russia: ecosystem for creating end-to-end value chains. Economics of Science. 2026;12(2):29-39. (In Russ.) EDN: GMKXWN
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