FEATURES OF RESOURCE FORMATION IN THE AGRICULTURAL SECTOR: TRENDS AND SPECIFIC INFLUENCING FACTORS

Abstract

In 2025, the global and Ukrainian agricultural sectors are undergoing a profound transformation driven by the convergence of technological progress, environmental imperatives, and unprecedented geopolitical challenges. Traditional resource models are becoming obsolete, giving way to integrated systems where digital data, intellectual assets, and ecological sustainability dominate competitiveness. For Ukraine, recovering resource potential amidst ongoing military aggression is a matter of both economic recovery and national security.

The research employs a multi-dimensional approach, including systematic analysis of recent academic publications (2018–2024), empirical data from the Kyiv School of Economics, and reports on digital integration (AI, IoT, Big Data). A comparative analysis of resource clusters was conducted to evaluate the efficiency of "green growth" and ESG-driven financing models.

The study identifies five primary resource clusters: natural-ecological, material-technical, human-intellectual, financial-investment, and digital-informational. Key findings highlight that military risks have acted as a catalyst for "forced transformation," shifting focus toward autonomous machinery and oilseed-dominant crop rotations. A critical "labor famine" (due to the mobilization of 200,000 specialists) is being mitigated through AI-driven robotics and intellectualization. Furthermore, the research emphasizes that access to capital in 2025 is strictly tied to ESG metrics and European Green Deal compliance, where "Carbon Farming" and bioenergy (biomass/biogas) emerge as new financial and energy resources.

Resource formation has shifted from a linear input process to a complex system of knowledge and data management. The adaptability of Ukraine's agricultural sector, despite losses exceeding $10 billion, rests on transitioning from a raw-material model to high-value-added production through digitalization and ecological responsibility. Future research should focus on the long-term impacts of algorithmic soil classification and decentralized energy-agri clusters.