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The purpose of the article is to study the recent tendencies of growth of Russia’s agro-industrial complex (AIC), determine the optimal scenario of its development, and develop recommendations in the sphere of state regulation for its practical implementation. While there are tendencies of growing production and increase in Russia’s export, against this background, there is a tendency of quicker increase of import of food – if it continues, positive balance of foreign trade of food products in 2018 will turn into negative balance in 2020–2024. Though efficiency of crop farming is peculiar for a tendency of quick growth, efficiency of animal breeding is stable, which does not allow overcoming the growing deficit of food in Russia, which grows under the influence of the tendency of wear of fixed funds and slow implementation of new fixed funds due to insufficient financing. Scenarios of mid-term (i.e., until 2024) growth of Russia’s AIC are compiled, of which the most optimal is scenario that requires technological advancements, due to which increase in the value of index of food security up to 85.00 points (27%) will be achieved and the set goals of growth and development of Russia’s AIC will be reached. For a successful optimal scenario of the growth of Russia’s AIC, we offer recommendations in the sphere of state regulation of its digital modernization: adoption of the national strategy of transition to AIC 4.0 within the program “Digital economy of the RF,” development of import substitution in the AIC with emphasis on B2B markets, preparation of the technological platform for transition to AIC 4.0, and sufficient financing for digital modernization of the AIC.

The purpose of the paper is to study the influence of education on placement of production in the agro-industrial complex (AIC) in the conditions of Industry 4.0.

For studying the experience of modern Russia in the aspect of the influence of education on placement of production in the AIC, the author uses the methodology of economic statistics. The author performs analysis of the ratio of the number of companies of the AIC and the share of the employed with higher education in the federal districts of the Russian Federation in 2018. Two markets are distinguished in the structure of the AIC: agriculture and food industry. Also, the method of regression analysis is used for compilation of regression curves, which reflect the dependence of the number of companies in the AIC (in view of the distinguished markets) on the share of the employed with higher education.

The results of the performed research showed that during the third technological mode in Russia, accessibility and quality (level of education) of human resources are insignificant factors during decision-making on placement of production in the AIC. In the conditions of Industry 4.0, the situation will change, and education will have significant influence on placement of production in the AIC. The higher the level of education of a territory’s human resources, the lower the entrepreneurial risks (risk of equipment’s failure and production defects), the higher the probability of creation of know-how (possibility to save on R&D with high innovative activity) and the higher the opportunities for selling the products of AIC 4.0 on the territory.

Entrepreneurial structures are recommended to use the developed algorithm of selecting a territory for placement of production in the AIC in the conditions of Industry 4.0, in view of the level of education.

The agro-industrial complex (AIC) of Belarus is one of the priority sectors of the national economy, which performs economic, social, environmental and cultural functions. The main trends in the development of the industry on modern business conditions are presented in the section. The goals, objectives, and mechanisms for the implementation of the state programs of development of the AIC are analyzed. The directions and measures of state support for agriculture are reasonable, the actual structure of the “green box” and “yellow box” measures is presented. Approaches and mechanisms to ensure national food security are highlighted in the light of new conditions, goals, and objectives. The results of the foreign trade in agricultural products of Belarus and rural development and social infrastructure of the village are presented. Scenarios for the development of agriculture in Belarus, taking into account national priorities in the field of agricultural production, the domestic consumer market, foreign trade, have been developed.

This research is devoted to studying the dynamics of the commodity structure of the world edible oils market in 2001–2021, with subsequent identification of the role and importance of export deliveries of Russian products in the formation of global mechanisms of supply and demand in the segment.

In the process of writing the chapter, the author used functional and mathematical analysis, statistical and computational-constructive methods, and customs statistics data from reputable international organisations and national statistical bodies. Comparing the obtained results with relevant scientific studies provides a high level of reliability of the results of this research.

Russia is currently the world's second-largest sunflower oil producer. In the near future, the country has significant potential to become the largest supplier of this product, which can significantly contribute to stabilising supply in the global edible oil market.

Based on the analysis of the dynamics of change in the statistics, it is substantiated that as a result of the implementation of a balanced state policy, in two decades, Russia managed to overcome a large-scale crisis in agro-industrial production, significantly reduced its dependence on imports of oil and fat products and is currently one of the world's leading producers of sunflower oil, which allows it to play an important role in shaping supply on the world market of oil and fat products.

The purpose of this paper is to determine the potential of rural and ethnographic tourism for the sustainable socio-economic development of Russian regions.

A system approach was used as a method to study this problem, which allowed the authors to identify the main trends in the development of rural and ethnographic tourism in Russian regions.

The research results were obtained using predictive analysis and by determining the prospects for the further development of recreational services and the forms of their territorial organization. The paper claims that it is viable to use the sites famous for traditional folk crafts in combination with rural tourism when creating tourist clusters as this is beneficial for promising large-scale tourism investment projects.

The relevance of the problem stems from the fact that the comprehensive interaction of rural and ethnographic tourism can become an additional “growth area” of domestic travel in Russian regions. This may be possible because of a certain combination of conditions and factors on the territory of the region, the availability of natural, recreational and ethno-cultural resources.

The purpose of this paper is to focus on technology capability and develops a model for measuring it applied agrifood industry companies.

Using a combination of literature review, observation research (expert interviews), AHP multicriteria analysis method and case study research, the paper develops an index model. The proposed model was applied to the case of dairy agribusiness complex in Brazil (180 rural units, five fluid milk processing companies and six cheese factories).

The index model developed includes five macroindexes: resources; technology upgrading; processes and routines; learning mechanisms; and coordination and accessibility. Results show that the model was able to identify the different technology capabilities of the companies studied and generated important information to identify bottlenecks and improvement opportunities for these companies.

The study contributes to understanding of a technological capability in the agribusiness system companies and how it can measure this capability in an integrated and synthetic model. Literature shows any models but no record of an integrated measurement system composed of a multi-attribute applied to assess the agribusiness system companies.