This article shows the importance of financing the agro–industrial complex as a key element of the agricultural sector of the economy. In the context of the need for uninterrupted financing of the industry by agriculture, the factor of stability of the credit institution, which has been supporting the industry for a long period of time, is of great importance. In this regard, the importance of analyzing the financial condition of a credit institution, the possibility of its sustainable development is shown not only within the framework of the planning horizon according to the parameters of the three–year development of the country's economy, but also taking into account the variability of the planning horizon itself for a longer term. This study also pays special attention to various types of financial risks that accompany a credit institution when performing various banking operations, including operations aimed at financing the agro–industrial complex. The dependence of the structure of the loan portfolio on micro– and macroeconomic parameters is shown. To achieve the results of the analysis, elements of mathematical modeling were used.
In the context of a dynamically developing society, volatility of economic and political conditions for doing business, variability of internal and external factors causing uncertainty and numerous risks, the management of organizations is faced with the need to ensure economic security. This is becoming one of the key tasks of managing an organization. The process of managing economic security includes not only taking measures to protect the organization and its resources from threats and risks, but also monitoring the key parameters of its activities. This necessitates the development of a comprehensive methodology for assessing the level of economic security of business entities. When writing the article, the authors set the tasks of exploring the theoretical aspects of economic security management and proposing a methodology for assessing economic security for entities engaged in industrial entrepreneurship. To achieve this goal, various sources of information and methods of scientific research (analysis and synthesis, induction and deduction, abstract logical, comparative, etc.) were used. The authors clarified the concept of "management of economic security of an organization", formulated the main requirements for this process and proposed a methodology for assessing the level of economic security of organizations. The results of the research presented in the article may be useful to managers and specialists of various levels of industrial organizations, students of higher educational institutions, students of advanced training courses, etc.
The article is devoted to the study of a number of issues related to online food retail in the regions of the Russian-Belarusian borderlands. The relevance of the topic is due to the growing demand for online food delivery and prepared meals. The purpose of this study is to describe the trends and prospects for the development of online food retail in the Russian-Belarusian borderlands in the context of the integration of the two countries. To achieve this goal, the following methods were used: statistical observation through population surveys, analysis of statistical indicators, and correlation analysis. The study resulted in the following conclusions. Online food shopping is quite popular in the border region, along with online shopping for clothing and electronics, especially in Russian regions. All online food purchases can be divided into several groups based on their location: marketplaces, online grocery stores, online cafes and fast-food restaurants, and restaurants. Based on an analysis of publications by Russian and Belarusian authors on the topic, the main problems of online food sales in the Russian-Belarusian border regions have been identified: a lack of pick-up points, especially in rural areas, poor logistics that can lead to food spoilage, inadequate legislation, and a higher volume of sales by Russian marketplaces in Belarus compared to their own platforms. A moderate correlation has been identified between age and the frequency of various purchases made via the Internet: the older a person is, the less likely they are to use this method of purchasing goods. Promising areas for the development of online food retail include the implementation of organizational and legal measures to protect the rights of buyers and sellers, and to expand the opportunities for all stakeholders in the Union State in this industry.
The objective of the study is to assess the results of updating the main production assets and their impact on the use of the production potential and the economy of the poultry sub-sector using a typical agricultural region as an example. The scientific novelty lies in the proposal and testing of a system of consolidated natural, cost, relative and specific indicators characterizing interrelated processes: updating the main production assets of poultry farms and the sustainability and efficiency of using the production potential of the sub-sector. The obtained results indicate an increase in the contribution of fixed assets to the implementation of the production potential and income of poultry farms: an increase in capital-labor ratio and capital profitability, positive changes in the indicators of capital productivity and capital intensity, the renewal coefficient, the success of investments in fixed assets, and the estimated amount of profit per ruble of the corresponding payments. A conclusion was made about the growth of energy efficiency of technological processes and improvement of biological safety parameters against the background of the growth of the number of livestock per poultry worker, the reduction of the share of labor costs in the cost structure and the growth of the average monthly salary. The reduction of labor intensity, sustainability and increase in the efficiency of using production potential due to the introduction of innovations in the fixed assets of enterprises in egg production, instability and negative dynamics in the production of poultry meat were revealed. The practical significance is presented in the application of the research results by government bodies in the course of assessing the results of the implementation of comprehensive state programs for the development of agricultural sectors, and by agribusiness specialists in assessing the priorities of innovative development and forecasting expected results.
In the dairy sector of Russia, only a number of regions make a significant contribution to the increase in the production of the sub-sector. The Saratov Region can potentially be included among such entities, the level of self-sufficiency in milk of which has consistently exceeded 100% over the past five years. In this regard, it is necessary to create a set of tools, approaches and methods that will allow in the future to identify the strongest, stably functioning business units that represent a solid base for the development of the sub-sector. This will make it possible to build a field for further research in terms of identifying the conditions and factors of sustainability of the analyzed objects, as well as eliminating barriers to its formation. The article proposes the author's approach to assessing the sustainability of dairy cattle breeding organizations, based on a point-rating system for analyzing the efficiency of the studied milk producers based on a set of statistical indicators, including the identification of a number of criteria reflecting the main production and financial results of their activities, the level of specialization, regularity of budget support, and sales potential. The grouping method was used to identify three main groups of milk producers in the region: low-stable, medium-stable and highly stable enterprises, which included 20, 20, and 3 business entities, respectively.
The existing differences in the level of economic, social, environmental and institutional development of rural areas necessitate the optimization of resource distribution between the territories in order to reduce interregional asymmetry, which requires methodological support for a comprehensive analysis and development of practical recommendations for sustainable development of rural areas of the macroregion with different development potential. The aim of the study is to develop and test a methodological approach to a comprehensive study of sustainable development of rural areas of the macroregion. A historical and methodological analysis of the evolution of sustainable development indicator systems is conducted, and the results of a study by modern scientists on this issue are presented. The authors have developed and tested a methodological approach to assessing sustainable development of rural areas using the example of the North Caucasus economic region, which is based on the development of an algorithm for a two-factor integral-index analysis of rural areas of the macroregion, including data collection and normalization; calculation of integral indices – the index of sustainable development of the standard of living of the population (ISLDP), which aggregates indicators of quality of life, material well-being and healthy lifestyle, and the index of sustainable economic development of the territory (ISEDT), which includes indicators of socio-economic, scientific and technological development and the state of the labor market; construction of a two-dimensional model and subsequent classification of regions into 5 groups of sustainable development. The results of the study can be used by state and regional authorities to develop differentiated, targeted policies and make informed management decisions.
The article examines the land management system of the Netherlands within the framework of sustainable development principles. Drawing on data from FAOSTAT, the CCI-LC project, and official Dutch statistics, the study analyses land cover dynamics, the structure of agricultural land use, and harvested areas of key crops over the period 2011-2023. It demonstrates that land management in the Netherlands serves as an integrative mechanism, balancing intensive agriculture, urban expansion, and environmental conservation. The national land management policy is characterized by strong institutional coherence, cross-sectoral coordination, and a strategic focus on long-term ecological and climate objectives – including drought adaptation, biodiversity restoration, and the transition to circular agriculture. Nevertheless, implementation faces socioeconomic challenges – such as livestock reduction and land reallocation – highlighting tensions between agricultural interests and environmental regulation. While the Dutch model reflects effective land resource governance under spatial constraints, its direct transfer to other countries is limited by specific institutional and geographical conditions. However, selected elements – such as the integration of ecological functions into land use planning, support for organic farming, and climate risk management – offer valuable insights that could be adapted in other agricultural contexts, including in Russia.
The article presents a study of the effectiveness of program-based budget financing at the regional level using correlation and regression analysis methods. Based on data from the Kaliningrad region for 2014–2023, the impact of six key budget spending areas on Gross Regional Product (GRP) dynamics is assessed. The analysis incorporates both classical statistical methods and modern machine learning algorithms, including polynomial ridge regression, Random Forest, Support Vector Regression (SVR), and k-Nearest Neighbors (KNN). In addition to analyzing the relationship between funding volumes and GRP, the study includes an in-depth analysis of data properties, including testing the normality of distributions, identifying multicollinearity, and assessing the robustness of models to sample changes. This approach not only allows determining the impact of individual programs on regional economic performance but also improves the accuracy of predictive models; by complementing traditional expert assessments, it allows detailing the understanding of the multiplier effects of budget investments and optimizing resource allocation based on their nonlinear contribution to the economy. Additionally, a comparison of the corrective capabilities of various machine learning methods was conducted, enabling the identification of algorithms that most accurately describe the nonlinear structure of budget funding data. The study identifies priority areas of funding that have the greatest influence on the region’s macroeconomic indicators. Special attention is given to the agro-industrial complex, which demonstrated the lowest performance relative to other programs. The results obtained can support decision-making and contribute to improving program-based budgeting mechanisms at the regional level in the Russian Federation.
The article considers the problem of sustainable reproduction of the material and technical base of agricultural production, which, in conditions of macroeconomic instability and limited investment resources, is of primary importance in ensuring competitiveness and sustainable development of the industry. It is noted that traditional approaches to assessing the condition of the machine and tractor fleet, based on separate accounting of security, input and output, degree of wear and digitalization, do not allow forming a complete picture and substantiating management decisions. In order to overcome this methodological problem, an integral reproduction index has been proposed, which makes it possible to synthesize indicators of equipment availability, renovation intensity, fleet structure by age and degree of wear, as well as the level of digital equipment. The methodology has been tested on the data of agricultural organizations of the Krasnodar Territory for 2022-2024, making it possible to identify the dynamics of the main components and identify the limiting factors preventing the achievement of a sustainable level of reproduction. The results of the study showed that the current state of the machine and tractor fleet in most cases remains below the threshold level of stability, and a simple increase in the level of renewal is not enough to achieve the target parameters. It has been established that the limiting links are the age structure and the low level of digitalization, while security is gradually improving. The necessity of a comprehensive recovery strategy is substantiated, including targeted renewal of the fleet of equipment, elimination of shortages in the types of machinery in demand, as well as targeted increase in digitalization. The practical significance of the study lies in the possibility of using the proposed methodology as a monitoring tool and management indicator for agricultural organizations and agribusiness management bodies, which ensures comparability of data, allows for an objective ranking of investment priorities and the formation of effective government support measures.
The article presents the results of the development and testing of an organizational and economic mechanism for adaptive planning of rapeseed production. The mechanism, based on the integration of agro-ecological analysis, the regulatory framework of technological operations and economic and mathematical modeling, is a seven-module system. This system provides a consistent solution to management tasks: from data collection and agroecological diagnostics to the formation of technological scenarios, economic calculation and operational monitoring. The approbation was carried out in 2025 at an agricultural enterprise in the Novosibirsk region on an area of 500 hectares. The results showed that the use of the mechanism allowed to increase the yield of spring rapeseed by 44.8% - from 1.45 to 2.10 t/ha, and the level of profitability of production - by 11.8 percentage points (from 18.0 to 29.8%). The additional profit amounted to 18.5 thousand rubles/ha, the total economic effect was 9.24 million rubles. on the analyzed area. Thus, the developed mechanism ensures the transition from static regulatory planning to dynamic management based on the analysis of current agro-climatic and economic conditions. This helps to increase the financial stability of the enterprise by reducing uncertainty and optimizing solutions. The approach is scalable and can be adapted to other crops and regions.