Яндекс.Метрика

Issue № 1, January 2026, article № 10

INTEGRATED INDICATOR OF FOOD AFFORDABILITY AT THE NATIONAL LEVEL

Economic accessibility of food is a key component of food security (along with the physical availability and quality of food), determining the population’s financial ability to purchase food products in sufficient quantities. Ensuring food security requires reliable indicators of accessibility. The relevance of the study is due to the fact that, despite the importance of this indicator, there is no unified methodology for its assessment. Existing approaches produce different results, complicating the monitoring of food security levels. This fact hinders the timely identification of threats and the development of effective response measures. The objective of the study was to develop an integrated indicator of economic accessibility of food for its assessment. The differences between existing methods for evaluating the actual volume of food consumption were analyzed. The study calculated indicators characterizing the economic accessibility of food: the food affordability index (FAI), the food expenditure share index (FESI), and the price anomaly index (PAI). Based on these indices, an integrated index of economic accessibility of food was constructed. It was established that the target level of economic accessibility of food in Russia has not been achieved. The integrated indicator remains below the threshold value, and by 2025 the level of economic accessibility of food in Russia is insufficient and lacks positive dynamics.

Issue № 1, January 2026, article № 11

A COMPREHENSIVE SWOT ANALYSIS OF THE RUSSIAN MINERAL FERTILIZER MARKET: THE REALITY OF 2025 AND AN ASSESSMENT OF PROSPECTS

This article presents the results of a comprehensive SWOT analysis of the Russian mineral fertilizer market, focusing on the current situation through 2025 and assessing the industry's medium-term development prospects. Using a combination of methods and diverse data sources, the author systematizes the key internal and external factors influencing the market. The strengths and weaknesses of domestic production (resource base, technological equipment, production costs, logistics, and export potential) were identified. Opportunities for growth through supply diversification and expansion into new markets, deeper processing, and expanded government support were analyzed. The main threats, including increased sanctions pressure, increased price volatility for raw materials and finished products, increased competition, stricter environmental regulations, and a number of others, were assessed. Based on the SWOT analysis, strategic recommendations were formulated for market participants and regulators: optimization of export-import flows, increased investment in modernization to improve production technology, infrastructure development, and adaptation to new carbon regulation standards. The results of the study can be useful for agrochemical company executives, investors, government agencies, and researchers to make informed decisions in conditions of high uncertainty.

Issue № 1, January 2026, article № 14

TECHNOLOGICAL DIVERGENCE IN THE RUSSIAN AGRO-INDUSTRIAL COMPLEX: ANALYSIS OF STRUCTURAL CLUSTERS AND INVESTMENT DYNAMICS

The relevance of the study is determined by the need to comprehend the current trends of technological transformation of the Russian agro-industrial complex (AIC) within the framework of evolutionary economic theory. The aim of the work is to identify and analyze the structural patterns of technological divergence in the Russian AIC based on the clustering of agri-tech startups and the assessment of investment dynamics. The methodological basis includes systemic and evolutionary approaches, methods of statistical and comparative analysis, cluster analysis of a database of technology companies (n=422). The results of the study showed that the Russian AIC is in a phase of active technological divergence, characterized by pronounced cluster specialization. Four key technological clusters are identified: "Biotechnology and New Production Systems" (46.3% of startups), "Digital Platforms and Precision Farming Solutions" (31.9%), "New Business Models and Value Chains" (14.3%), and "Roboticization and Automation" (8.1%). The identified cluster asymmetry (diversification index 0.66) corresponds to the patterns of the initial phase of divergence. Analysis of investment activity in the AgriTech sector for 2017-2025 revealed a wave-like dynamics with a peak in 2020 (19.32 million US dollars) and high volatility of the average round size (coefficient of variation 87.4%), indicating the sector's high sensitivity to external shocks and the persistence of fundamental scaling barriers. The key conclusions are that the current phase of divergence is characterized by a multiplicity of competing technological trajectories, diversification of business models, but also the persistence of structural imbalances determined by differences in capital intensity and institutional barriers. The emerging diverse landscape of innovators creates extensive material for subsequent market and institutional selection.