The article attempts to determine the required investment in the implementation of a possible full import substitution in shipbuilding, space and aviation engineering. Data on the activities of state corporations representing the aircraft industry, the rocket and space industry, shipbuilding, as well as the closely related engine building, are analyzed. The main directions of activities for import substitution and the results as of 2020 are shown, as well as the problems of implementing the import substitution policy in the sectors under consideration under the new sanctions. The methodological basis for calculating the required investments was a simplified modified model of the input-output balance built on the input-output tables for 2019. The authors made an attempt to assess the impact of a potential increase in the volume of mechanical engineering as a result of import substitution and localization in Russia on the output and use of products related to activities and identification of necessary investment resources.

The results of the calculations are mainly illustrative, showing the possibility of using input-output tables to analyze and evaluate the consequences of major government decisions.

The article discusses the problems of constructing and using regional input-output tables, describes the features of disaggregating economic activities, and shows the most complex, missing in statistics, information arrays necessary for constructing regional input-output tables. A brief overview of the main methods of regionalization of intersectoral models used in domestic and foreign practice is made. The necessity of combining direct assessment methods necessary for the construction of tables and models of indicators and methods based on the use of indirect data is noted. The necessity of using production and distribution balances in natural indicators as the most important direction of improving national economic and regional input-output tables is shown, since the available natural indicators, as a rule, reflect the volume of production and consumption of products in full, and not only the part of it that is marketable. The special importance of increased requirements for information reflecting the current state of the economy of the country and regions is emphasized. The main applied results obtained with the help of intersectoral models as a tool for long-term forecasting of the national economy are presented. The features of modeling intersectoral relations of small regional economies and limitations of the use of regional input-output tables for assessing multiplicative effects arising in economies of this type (on the example of the Republic of Tyva) are considered.

The article discusses approaches to introducing the financial sector into agent-based models, as well as various options for modeling the behavior of agents (firms and households) directly interacting with the financial system. Agent-based models can explain how some important macroeconomic phenomena can be generated by evolving networks of interactions between boundedly rational agents in economies, where the underlying rules of interaction can evolve endogenously over time. The importance of accounting for financial activity in macroeconomic models for reproducing business cycles and predicting financial crises is emphasized. Consideration of financial blocks in macroeconomic agent-based models includes an analysis of approaches to modeling the choice between household savings and consumption, making decisions about the amount of investment by private sector firms, as well as the rules for setting interest rates and regulatory limits by banks. Possibilities for improving approaches in terms of taking into account interest rates when modeling household savings are proposed, as well as long-term planning based on the calculation of discounted cash flows with an assessment of the impact of changes in output on market prices when forming firms’ investment plans.

Private tutoring is currently an international phenomenon and, as research in this field demonstrates, has a pronounced upward trend in many countries around the world. At the same time, the issues of functioning and development of the tutoring services market remain insufficiently covered due to the lack of reliable information on tutoring services, imperfect legislative framework in this area, as well as due to the complex changes in the educational system and in the socio-economic life of society in general, to which the analyzed market is extremely susceptible. Therefore, the purpose of the article is to reveal the features of approaches and methods used in the international practice of regulating the tutoring services market.

The article reveals that tutoring services market in any country, despite the sufficient openness to new participants, operates under certain restrictions: natural and unnatural barriers. The former is conditioned by the peculiarities of natural development and scale of the market; the latter are created through administrative control of tutoring activities. The classification of barriers is given, which makes it possible to single out state regulation of self-employment in the tutoring services market into a separate category. The types of state policy of different countries in relation to tutoring activities are presented. It is revealed that the current system of state regulation of the tutoring services market in Russia is characterized by a focus on tax control without considering the social significance of the nature of tutoring services and its impact on the state education system. In this regard, it is necessary to analyze international experience, especially about the possibility of implementing the most successful solutions of state regulation of the tutoring services market in relation to Russian conditions.

In the successful development of integration processes, a key role is assigned to the policy of ensuring cooperation of industrial complexes of the member states of the Eurasian Economic Union (EAEU, Union). At the same time, an analysis of the implementation of measures in the Main Areas of Industrial Cooperation (MAIC) within the EAEU and, in general, the results of the first five-year plan (2015–2019) shows that not all the tasks set were fully and at the proper level. This trend can also be traced at the current stage of the implementation of the current MAIC program for the second five-year period (2020–2024).

In this regard, the article examines problematic issues related to the insufficient pace of development of industrial cooperation processes in the Union.

Based on the analysis of the development of industrial cooperation processes, to reveal the nuances associated with the imperfection of mechanisms and tools to ensure the balance of common and national interests, with inconsistency in compliance with the initially declared integration agenda.

A constructive analysis of these problematic aspects in the context of comparison with the experience of industrial cooperation of the world’s leading associations of countries allows us to identify several proposals in the areas of necessary expediency: 1) the real formation of value-added chains (VAC) for the joint production of goods of the Union; 2) compliance with the principles of mutually beneficial parity in production and financial relations for economic entities (enterprises) of the member States of the Union participating in the formation and development of VACs; ensuring equal competitiveness of cooperative enterprises in the national and common market of the Union; exclusion of artificial barriers to trade between the member States of the Union; 3) improving the methodological approach to improving the effectiveness of program measures in the field of interstate industrial cooperation based on the possible application of the well-known optimization inter-sectoral interregional model (ISIM).

The directions of development of socio-economic information systems used for regional management are considered. Systems that need to be upgraded in accordance with modern capabilities and requirements of the digital economy. As a result of the consistent implementation of many private software solutions to achieve individual tasks, the so-called “patchwork” (“niche”) automation has been formed, aimed at creating socio-economic information, which should fundamentally be systematic and consistent. Currently, the sources of statistical data differ in structure, format, composition of indicators and periodicity of the generated data, their state is characterized by the fragmentation of the software systems used, data storage forms and the data itself. Collecting and processing this data requires a lot of money, but the result does not meet the increased requirements of users. The existing initiatives to create a single space of socio-economic information in the regional context are described: the Volgograd Regional Statistical Information and Analytical System (RSIAS), the interdepartmental Information and Analytical System (EMISS), the central analytical platform (CAP), the national data management system (NMS), the federal cloud platform of the state market “Gostech”. The article assesses the efforts being made to integrate information about the regions into a single information space. The proposed ways of integrating economic information into a single information space are considered. A conceptual approach to such integration based on ontologies of the subject area of socio-economic relations is proposed.

Measuring the value of human capital (HC) of an enterprise is traditionally, on the one hand, the key task of managing the human resources potential of a business, and on the other hand, it is a difficult task that has not found its correct solution yet. In this regard, the purpose of this study was to develop an approach that allows us to rank the methods for measuring the HC of an enterprise in terms of reliability of the obtained results. To achieve this goal, a methodological approach was used, based on a comparative analysis of existing practices for measuring HC, grouping these procedures according to key features, and followed by ranking the formed groups based on parameters that determine the adequacy of the estimates obtained.

As the analysis has shown, it is advisable to use the features of the indicators used for calculation as criteria for typing existing methods for measuring HC. These characteristics included the following options for initial data: investment; current indicators; return on investment. In order to determine the methods that provide the best reliability of the obtained results, such methods were distributed on the basis of features that characterize the reliability of the primary data. As a result, we formed an approach that made it possible to rank typical methods for assessing the value of the enterprise’s HC from the standpoint of the reliability of displaying the area under study, which distinguishes this method from other existing procedures. At the end of the work, the ways to increase the HC of an enterprise are proposed, taking into account the preferences of active workers, in particular, and their attention to ensuring the wellbeing of employees by the employer.

This research is devoted to the investigation of issues concerning widespread integration into business communities in order to achieve common goals. This integration is the result of society’s evolving requirements, which need a sustainable solution in the 21st century.

Organizations alone cannot create advanced solutions in modern times, so legally independent “equal” participants band together to solve common goals in order to improve the overall competitiveness of the business ecosystem.

Management theory provides a large arena for thought on the management of distinct non-hierarchical connections between partners in business ecosystems. Launching innovations are needed on shifting the paradigm of competition, reworking the principles of generating partnerships, switching to process management, and, in general, constructing organizational mechanisms in “non-organizational forms”.

The study focuses on the difficulties of nonlinear connection construction and maintenance in nonhierarchical organizations with multilateral interactions, stages of business ecosystem growth, and fundamental principles of business ecosystem development and creation.

The subject of the study is digital technologies in the sphere of agro-industrial complex on the example of Ecosystem “Svoe” of JSC Rosselkhozbank. The purporse of the work are: analytical assessment of the essence and function of digital technologies in the Russian agricultural industry using economic and statistical methods; identification of the problems that are an obstacle to the introduction of modern technologies; and providing practical recommendations on informing more agro-industrial companies about the resources of the “Svoe’’ ecosystem for their use in their current activities. In recent years, the digitalization processes in the industry have intensified, but not yet reached the required level for more efficient business. In addition, for the most part only large enterprises and agricultural holdings can afford the introduction of innovative products. Big business is ensuring the continuous growth of economic indicators in the industry. Small enterprises digitalization processes due to a lack of financial and human resources are slow. To assist small and medium-sized businesses, the ecosystem “Svoe” of Rosselkhozbank was launched in 2020, which is a high-quality example of the introduction of digitalization in agro-industrial complex. Finally, the conclusions are drawn in relation to the need of state support for digitalization pro­cesses in the agro-industrial sector, both through financial investments in the activities of enterprises and through reforming the educational sphere connected with training, education and retraining of industry representatives using the achievements of scientific and technological progress; participation of the state in the formation of the countryside as an attractive place to live. Some conclusions about the uneven nature of the implementation of digitalization processes at the enterprises of the industry, the need to reform the education system using innovative developments in the training of specialists for agribusiness enterprises, and the inevitability of improving rural areas to attract additional human resources to the industry are drawn. Despite the existence of the “Svoe” ecosystem of Rosselkhozbank for a short time, it is worth noting the huge benefit of the platform in solving many problems of its users.