Яндекс.Метрика

Issue № 8, August 2026, article № 12

CURRENT TRENDS IN THE DEVELOPMENT OF LOCAL MARKETS IN THE RUSSIAN AGRO-INDUSTRIAL COMPLEX

This article identifies and systematizes key current trends in the development of local agrifood markets within the Russian agro-industrial complex. Using a systems approach and structural-sectoral analysis, the local market is examined as a subsystem of the agro-industrial complex, operating across four interconnected dimensions: production, infrastructure, digital, and institutional. The study revealed a trend toward a qualitative shift in the production sector from raw materials to differentiated goods with specific characteristics (organic certification, craft processing, and territorial identification). In the infrastructure sector, the formation of a multichannel distribution system is clearly evident, while in the digital sector, a parallel digital circuit of local markets is emerging, providing direct access for small producers to the end consumer. Institutional changes are characterized by increased government support for small agribusinesses while regulatory barriers remain. It is demonstrated that the identified trends are mutually reinforcing and are developing in line with federal processes of import substitution and technological modernization in the agro-industrial complex. In conclusion, it is concluded that local markets are undergoing a stage of systemic modernization, transforming from a peripheral segment into a steadily developing component of the national agro-industrial complex, and the further vector of their development is outlined.

Issue № 8, August 2026, article № 13

PROSPECTS AND LIMITATIONS FOR ONLINE SALES OF AGRICULTURAL PRODUCTS IN RUSSIA

The digital transformation of sales channels is a key factor in enhancing the resilience and competitiveness of all economic sectors as a whole. Research into the agro-industrial complex in this aspect is important, as the dynamics of online sales in this sector are developing at a distinct pace. The relevance of this topic is driven by the dynamic development of digital technologies, which are altering the structure of agricultural product sales channels, and is further confirmed by the growth in e-commerce turnover, which in Russia in 2025 amounted to 11.6 trillion rubles. The aim of this study is to analyze domestic experience, the current situation, and to identify promising vectors for the development of online agricultural product sales in Russia. The current stage is characterized by the formation of a segmented system of digital platforms, with public-private initiatives playing a dominant role. It has been revealed that while federal specialized marketplaces for the sale of agricultural products already exist, their level of penetration remains low. This is contributed to by existing limitations that restrain the pace of e-commerce development in the agro-industrial sector. Assessing these limitations and determining a course of action to address them will facilitate the process of integrating online sales into the agricultural sector, aiming to develop connections between producer and consumer, which in turn will positively influence the economic sustainability of this sector.

Issue № 8, August 2026, article № 16

DIGITALIZATION OF THE INFRASTRUCTURE FOR WHOLESALE AND RETAIL TRADE IN THE AGRARIAN MARKET OF RUSSIA

This article is dedicated to the analysis of the digital transformation of trade infrastructure in the Russian agricultural market, which is a pressing issue amid the global digitalization of socio-economic development, the country's lag in applied information and communication technologies (ICT), and the necessity to ensure food security. The authors substantiate the importance of overcoming the fragmentation of existing digital solutions, the persistent digital inequality between large and small market participants, as well as the inadequacy of current forms of state support. A comprehensive, multidisciplinary approach is proposed for studying the transformation of domestic agricultural trade infrastructure, based on the integration of socio-economic, institutional, and technical-technological aspects. Among the key practical proposals are the application of a three-level schematic model of an electronic platform designed to unify government, sectoral, and commercial systems to create an end-to-end digital trace of products; the establishment of a dedicated electronic exchange for agri-food products based on public-private partnership principles; the implementation of a dual-vector personnel training model focused on the creation of multidisciplinary teams, relying on internet television and multicast technologies; and the introduction of mechanisms for targeted state support of digitalization for small and medium-sized enterprises in agri-food trade, including a network of «digital business hubs» and a «digital voucher» system to address digital inequality.

Issue № 8, August 2026, article № 18

FORECASTING THE DYNAMICS OF SOWING AREAS AND YIELD OF MAIN AGRICULTURAL CROPS IN REGIONAL FOOD SYSTEMS

This article presents a system of models, an algorithm, and an information-analytical toolkit for determining key parameters of regional agrofood systems, such as sown areas, yields, and gross harvests of major agricultural crops over a forecast period extending to 2036. Modeling and forecasting the dynamics of key crop production indicators allows the results to be used to forecast the dynamics of the food system as a whole, including livestock production and the use of agricultural products for food purposes. The study is based on a dynamic approach. A key feature of the dynamic approach to system modeling is that it enables the study of system states depending on changes in resources, costs, profits, system efficiency, etc. over time. Furthermore, to forecast the dynamics in the model, it is necessary to provide input data on the parameters of past system states to obtain output values. The article demonstrates that, in general, the specification of regression models for sown areas may include other factors, but for all crops, the variable—revenue from product sales for the past period—is included in the arguments. The models consider the availability of technical resources to mechanize key production processes in crop production as resource constraints. Planned crop yield (as a lagged variable for grain corn) is a significant factor in all models. The input parameters in the yield models for major crops include forecast data from the RCP8.5 and RCP4.5 climate scenarios, used by IPCC experts.