The need for the use of strategic force for forecasting and planning the development of rural territories for long -term and medium -term periods in the conditions of high turbulence and instability of the global economy and politics is justified. An algorithm for forecasting and planning sustainable inclusive development of rural areas based on strategic force technology, including three main stages: a pre -medium, strategic force and post -texts. At the pre -medium stage, the choice of key indicators is made for predicting the development of rural terrritories, a comprehensive assessment of the state of rural territories, determining strategic goals, scenario forecasting and preventive preparation. At the stage of strategic force, an expert survey is conducted and a generalization of its results, a force session is organized to jointly discuss the results and the preparation of forecasts. The post -Formation stage provides for the formation of an updated forecast for the development of rural areas by key indicators, determining the main drivers and areas of development of rural territories, preparing proposals for adjusting the strategy and development of rural territories based on expert opinions. Forecasting and planning of the development of rural areas based on the inclusive approach involves the setting of the main strategic goals: increasing the level of employment of the rural population; overcoming rural poverty; The growth of average monthly disposable resources and cash income of rural households. The inclusion of indicative indicators in strategic and software documents will allow you to shift the accents to the most acute problems of the development of the Russian village. The proposed methodology for conducting a strategic force will ensure the involvement of a wide range of interested participants in the process of forming medium and long-term forecasts for the development of rural territories, to direct joint efforts to develop effective decisions to achieve targeted parameters of inclined development of rural territories and their practical implementation.
The efficiency of agricultural production is directly related to high-quality agricultural education and popular agricultural science. The effectiveness of integration interaction will develop and be realized through the influence of all components of the link on each other. Agricultural education and agricultural science will have an impact on agricultural production; highly efficient agricultural production, in turn, will influence and motivate agricultural educational institutions to produce graduates adapted to the modern level of production using IT technologies in all sectors of agriculture and the entire agro-industrial complex as a whole. Science, incl. and agriculture has a positive effect on education. As a result, the integration interaction of all three components of the link will result in a synergistic effect, which will serve as the basis for the efficiency of all agricultural production. The purpose of the study is to identify the prerequisites for increasing the efficiency of integration interaction in the link “agricultural education – agro science – agricultural production”. The research was carried out using economic and statistical methods and techniques (observation and collection of facts, analysis and synthesis, systematic approach, comparison and comparison, groupings, etc.). The concept of integration, integration interaction is presented, the dynamics of changes in the number of students and graduates of agricultural universities, the number and composition of managers and specialists of agricultural production in Russia for 2015 and 2021 are analyzed, the main tasks arising from the priority areas of fundamental and applied research that can be solved by agricultural Universities. The influence of agricultural education on the efficiency of agricultural production is substantiated.
The article is devoted to the study of key trends in the development of the unmanned aerial vehicle market in agriculture in the regions of the Russian Federation in the new economic reality, which is actualized by the conditions of new industrialization and digital transformation of industries of the national economy. The methodological basis of the study is the key provisions of the theories of technological modes, Industry 4.0, orienting agricultural industries to the application of innovative solutions. The research methods included the sectoral analysis of statistical data and monitoring of consumer preferences in open sources, which together with the logical-structural analysis allowed us to diagnose trends, key problems and significant risks in the development of the agricultural unmanned aerial vehicles market. The information base of the study consists of official data from the Federal State Statistics Service and unstructured freely distributed data from Russian Internet services that post information about goods and services. The results of the study showed that the market for agricultural drones in Russia has regional specifics related to the natural features of the territories. This technology poses a number of challenges for market development. Regional characteristics also determine a number of significant risks limiting the development of the agricultural drone market. Thus, the hypothesis that the key trends in the development of the unmanned aerial vehicle market in agriculture are shaped by regional differences and peculiarities of agricultural development in individual regions of the Russian Federation is confirmed. The results of the study contribute to the theoretical and methodological analysis of agricultural drone market development in Russia, detailing the regional specifics and level of risks associated with the market entry of new business entities.
The use of digital twins in agriculture is part of the state policy of digitalization of the agricultural sector. About 3% of Russian agricultural organizations use digital twins in the production of agricultural raw materials. In food production their share is about 15%, in agricultural engineering – 25%. The strategic direction in the field of digital transformation of the agro-industrial and fishery sectors of the Russian Federation for the period until 2030 establishes the use of digital twins as a tool for ensuring the competitiveness of domestic agricultural products in global markets. In view of the high potential for the use of digital twin technology by agricultural organizations, the development of domestic practice of developing digital twins of agricultural specialization in various branches of the agro-industrial complex, there is a practical need for scientific and methodological support for calculating a feasibility study for the development and implementation of digital twins of various types. Purpose of the study: to develop conceptual provisions for the formation of a feasibility study for the development of an agricultural digital twin. The novelty and practical significance of the research is determined by the increment of theoretical and methodological provisions to substantiate the technical and economic feasibility of using digital twins in agricultural production.
Forecasting and analysis of financial and economic indicators of agricultural development is a necessary tool for managing the industry. Recently, the use of traditional tools has significant limitations, which necessitates the use of artificial intelligence systems. The purpose of the study is to analyze research in the field of application of artificial intelligence systems in the field of analysis of financial and economic indicators of agricultural development. It has been established that artificial intelligence systems are currently used to predict the development of agriculture at the regional level, analysis of the financial and economic situation of agricultural organizations in order to prevent bankruptcy, forecast prices for agricultural products and raw materials. For this, systems based on fuzzy inference systems (ANFIS), convolutional neural networks, support vector machines and others are used. The main effects of the use of artificial intelligence systems in this area are to increase the accuracy of forecasting the development of the industry, reduce the complexity of financial and economic analysis, and reduce uncertainty and risks. Specific recommendations are given on the use of artificial intelligence systems in the analysis of financial and economic indicators of agricultural development.
The paper presents the dynamics of agricultural production per capita in the regions of the Volga Federal District, highlights the advantages and disadvantages of agricultural production, the specialization of rural commodity producers. The achieved production parameters of the agricultural organizations of the district allow them to be classified according to different levels of development and to determine the priority directions of agricultural production.
The relevance of assessing and predicting the consequences of climate change is confirmed by objective processes recorded by the world's leading research centers. The results of summarizing the consequences of global climate change led to the conclusion that approaches to their assessment and forecasting have been constantly evolving over the past decades by including new environmental, economic and social phenomena. The purpose of this study was to systematize and generalize the consequences of the impact of climate change on the Russian agro-industrial complex. Thus, based on an analysis of domestic and foreign publications, as well as a generalization of practice, the work proposes a typology of the consequences of climate change in the agricultural sector, which is based on two main groups of characteristics: common to all sectors of the economy and specific, characteristic of the agro-industrial complex. As general signs, they are proposed to characterize: the state; manifestation time interval; scales; preventability. Based on specific characteristics, the consequences in the agro-industrial complex are divided by nature into environmental, social, economic, as well as by types of climate security. The authors argue that the consequences of climate change in the agricultural sector must be assessed and predicted in conjunction with all components of technologically and economically interconnected industries (sectors) of the economy, as well as workers, farmers and the rural population employed in this area. The scientific significance of the research results lies in expanding and concretizing the understanding of the impact of climate change on the functioning and development of the agro-industrial complex, which will make it possible to assess and predict the entire range of consequences, as well as develop proposals for adaptation of this sector of the economy.
The article presents the results of a study on the adaptation of the internal audit system of agribusiness organizations to the needs of management in information for the purposes of ensuring environmental safety. In modern economic conditions, an environmental issue is acute for any country in the world, which is of paramount importance in its importance, and ultimately affects all spheres of human life. The close interdependence of the degree of environmental friendliness of the production process and the costs of environmental management have prioritized the development of new tools in taxation, budgeting, and business planning. A significant role in the process of forming an effective organizational and economic strategy of agricultural organizations is played by information and analytical support systems, as well as an internal audit system. Therefore, the development of a universal system of environmental audit and monitoring is an urgent and timely aspect of the activities of agricultural organizations.
The goal of the economic adaptation of small agribusiness, specialized in the production of horticultural products, is to ensure the acquisition of a new state that at least does not reduce its economic potential in the context of high dynamism of the external economic environment. The article presents the author's vision of indicators reflecting the direction of adaptation measures in the fields of production, financial and economic situation of fruit and berry producers, including the level of business reproduction, growth rates of investments, receivables and payables, production volumes and sales of fruits and berries. The conducted studies showed a fundamentally new approach to the organization of horticultural agribusiness on a small scale, which involves increasing opportunities to increase domestic production potential with state support for investment activities, increasing the financial burden both from the standpoint of debt burden and reducing the resources involved in economic turnover, due to the growing receivables of counterparties and the presence of a high fluctuation in the growth of production volumes and the sale of fruit and berry products. The article provides measures to improve the economic adaptation of small horticultural agribusiness, including measures to improve inter-economic and inter-sectoral interaction with counterparties, information support for capital-intensive work in organizing garden turnover, and the use of a strategic approach to managing industry development.
The purpose of this study is to carry out a comparative analysis of individual demographic characteristics (population size, number of rural settlements, gender and age indicators) of the rural population of the Russian Federation, obtained on the basis of the results of the All–Russian Population Censuses of 2002, 2010, 2020, in order to establish the main trends in their development. In the process of preparing the article, the authors used the materials of the Federal State Statistics Service of the Russian Federation, the works of scientists on the problems of the demographic situation in urban and rural areas. In 2002-2020 the population of the Russian Federation was dominated by the urban population (its share in the total population averaged 73.9% over the period). The share of the rural population in 2020 decreased from 26.7% to 25.2% in comparison with 2002 (which is 1,631 thousand people). When comparing the number of rural population in the subjects of the Russian Federation in 2020, 18 regions of the Russian Federation were identified since 2010, where positive growth rates of this indicator were noted, in the seregions the rural population increased by 1126.8 thousand people in total. In 2020, compared with 2002: the proportion of the rural population younger than able-bodied decreased from 21.4% to 18.7%, that is, in the future, the number of able-bodied population in rural areas will decrease, the human potential will deteriorate; the proportion of the population older than able-bodied increased and reached 25.6% (versus 22.6%), that is there is a tendency of aging of the rural population. In 2020, the demographic load per 1,000 people of working age in urban areas was equal to 688 people of working age, and in rural areas – 795 people; at the same time, in the indicator of demographic load, the largest share is occupied in rural areas by people older than working age (57.9%). While maintaining the prevailing trends in the development of the demographic situation in rural area soft he Russian Federation The problems of rural population participation in the labor force and employment remain relevant.