The Role of Artificial Intelligence in Advancing Agricultural Technologies within the Russia–China Institutional Partnership

Authors

DOI:

https://doi.org/10.17059/ekon.reg.2025-3-14

Keywords:

digitalization, artificial intelligence, agriculture 4.0, innovation, digital infrastructure, sustainable development, interstate cooperation, precision farming, agricultural technologies, automation, neural networks, big data, yield forecasting

Abstract

Digitalization and artificial intelligence (AI) are playing an increasingly important role in promoting sustainable agricultural development. This is especially clear in the context of institutional cooperation between Russia and China, where agriculture remains a key economic sector. However, despite this significance, the impact of AI and digital technologies on agriculture through interstate collaboration still remains underexplored. This study analyses and forecasts the level of digitalization and AI adoption in the agricultural sectors of Russia and China, while assessing the potential to deepen institutional cooperation. It identifies key factors driving digital transformation in agriculture and projects technology adoption trends through 2035. The methodological framework is grounded in multivariate regression models, which evaluate the influence of infrastructural, economic, social, and technological factors on agricultural digitalization. The analysis is based on 12 indicators of agricultural development in Russia and China from 2013 to 2023, with particular attention to infrastructure and digital metrics. Linear and polynomial regressions were used to model indicator dynamics, and a composite digitalization index was developed using multiple regression. The findings show that China has achieved a high degree of digitalization in agriculture, driven by strong government support, widespread 5G infrastructure, and the integration of IoT technologies. Agricultural automation in China has reached 45%, with projections suggesting an increase to 50% by 2030—potentially boosting productivity by 20–25%. In Russia, the expansion of digital infrastructure lays the groundwork for greater adoption of AI and precision farming technologies, with anticipated productivity gains of 15–20% by 2030. These results may inform national strategies for agricultural digitalization, shape state agricultural policies, and support the implementation of joint Russia–China projects under initiatives such as BRICS+.

Author Biographies

Svetlana G. Pyankova , Ural State University of Economics

доктор экономических наук, доцент, профессор кафедры региональной, муниципальной экономики и управления; Scopus Author ID 57211885976; https://orcid.org/0000-0002-7072-9871 (Российская Федерация, 620144, г. Екатеринбург, ул. 8 Марта/Народной Воли, 62/45; e-mail: silen_06@list.ru).

Olga T. Ergunova , Peter the Great St. Petersburg Polytechnic University

Cand. Sci. (Econ.), Associate Professor, Associate Professor of the Higher School of Industrial Management; Scopus Author ID 57193734749; https://orcid.org/0000-0002-1714-7784 (29, Polytechnicheskaya St., St. Petersburg, 195251, Russian Federation; e-mail: ergunova-olga@yandex.ru).

Yingjie Huang , Sichuan University of Science & Engineering

Professor, Director of the Humanities and Social Sciences Department, Dean of the School of Management, Doctoral Supervisor; https://orcid.org/0000-0002-0145-4173  (Huixing Rd, Ziliujing Qu, Zigong Shi, Sichuan Sheng, 643002, People’s Republic of China; e-mail: 746486072@qq.com).

Published

04.09.2025

How to Cite

Pyankova С. Г. ., Ergunova О. Т. ., & Huang И. . (2025). The Role of Artificial Intelligence in Advancing Agricultural Technologies within the Russia–China Institutional Partnership. Economy of Regions, 21(3), 773–785. https://doi.org/10.17059/ekon.reg.2025-3-14

Issue

Section

Technological Sovereignty