Government of Russia

The global agro-industry is changing, with a shift toward high-tech, data-driven systems to tackle environmental challenges and resource shortages. This study examines how digital and energy transitions are occurring together within the agricultural innovation ecosystem, driven by global demand for sustainability. Using a dataset of more than 2 million patents filed from 2000 to 2019, the research maps how technology spreads with Main Path Analysis (MPA) and explores the factors behind this process using an Exponential Random Graph Model (ERGM). The MPA identifies 12 main technology paths, starting with GPS-based management and progressing to advanced, energy-efficient uses of AI, IoT, and blockchain. ERGM results show that the innovation network forms selective, trust-based clusters and follows a “Matthew Effect,” where leading technologies attract more investment. The analysis finds that aligning policy frameworks is the most important factor in building these networks, even more than traditional R&D spending. Environmental sustainability also has a strong positive effect, showing that the ecosystem favors technologies that lower carbon emissions and energy costs. While individual farmers do not yet have much influence on the larger innovation network, including them is important for fair technology sharing and system resilience. These results provide policymakers and agribusinesses with a strategic guide, showing that a successful digital and energy transition requires a balanced approach that combines market forces, robust regulations, and inclusive innovation.

The objective of this study is to analyse the current implemented measures to support technological security in Russian industry. This is due to the necessity to measure the set strategic objectives with the key interim results of their implementation to assess effectiveness and, if necessary, adjust the «roadmap» for stimulating a technological breakthrough in domestic production. The methodological framework of the study relied on a combination of general scientific and specialized methods of scientific cognition of economic phenomena and processes. The article analyses the state policy in the context of achieving technological sovereignty of the Russian industrial complex, considering its sector-specific features of operation. It also examines the dynamics of industrial production amid increasing sanctions pressure, and evaluates the import dependency within the sectors of industries, including trends of both reduction and growth in import dependence. Supported by statistical data and current regulatory-legal documents, the given study concludes that reducing import dependency and building domestic production capacity is a long-term, multi-stage process that requires coordinated efforts from both the state and the business community. The research findings hold practical value for management personnel at various levels, representatives of the scientific community, and specialists in industrial complex development.