Despite clear progress in digitalization, Russia significantly lags behind global leaders in the use of digital technologies, including robots, artificial intelligence and 3D printing. In this study, we use the organizational characteristics of Russian industrial companies and the role of innovation diffusion channels to explain the digitalization factors of Russian industrial enterprises. The database is grounded on the results of a sample survey of 1.7 thousand companies; empirical estimates include the construction of logit regressions. The results of the study are mixed: digitized companies are focused on the domestic market, but are receptive to technology transfer from foreign investors, examples of other Russian and foreign companies in the industry, developments of research centers in the field of robotics and artificial intelligence. The study of the relationship between digitalization and firms’ use of innovation channels has shown the importance of market incentives and flexible public innovation policy instruments. Direct government involvement as an owner in stimulating digitalization affects innovative companies using robots and 3D printing, while indirect government support measures are significant for innovative companies using artificial intelligence. This suggests that Russian companies overcome the barriers of resource constraints and organizational rigidity in different ways, and are also selectively susceptible to external incentives, which should be taken into account by the government in its policies

The article considers one of the aspects of food security — food price volatility. Assessing price anomalies in the food market, as used in the FAO’s FPMA, is adapted and tested on Russian statistics. Special periods in the dynamics of food price volatility were identified, based on the indicator of price anomalies. The contribution of various food products to the growth in food prices in 2020—2022 is calculated, the inexpediency of maintaining the rules in force since 2021 for imposing marginal prices for socially significant food products is justified. The levels of food security in Russia in 2020—2022 are assessed according to the original methodology, which can be used as a basis for improving the existing state system of indicators.

This paper investigates the effects of electronic procedures for supplier selection in public procurement multi criteria auctions (with a selection of a winner based not only on the price criterion) for the results of research and development (R&D) work in Russia. The electronic procedures in public procurement can increase the number of bidders and lead to lower final contract prices. However, in the presence of favoritism, the effect of electronic procedures may be limited. To identify and evaluate the effects of introduction of electronic procedures, we collected microdata on 4517 composite auctions for R&D results for the period from 12/16/2016 to 12/20/2021. Until 2019, there were practically no electronic multi criteria auctions, and starting from 2019, all multi criteria auctions were in electronic form, which creates quasi-experimental conditions. Favoritism is evaluated based on the frequency of interaction between the customer and the supplier. The results of econometric modeling suggest that the introduction of the electronic procedures do increase competition in multi criteria auctions and lead to lower final contract prices, but the effect is weaker in auctions with potentially affiliated customer and supplier. Moreover, one of the main channels of the negative effect of favoritism is inflated quality criterion scores of affiliated suppliers.

In the aftermath of the global economic crisis of 2008—2009 new trends have emerged in the international capital flows: dynamics, volatility and geography of capital outflow and inflow have changed, the list of countries leading in these outflow and inflow have also changed, national restrictions on the import of capital have increased, international cooperation in monitoring international capital movements has expanded. The COVID-19 crisis and the geopolitical upheavals of 2020—2023 have added new trends to these processes. Russia’s participation in international capital flows has become noticeably smaller due to restrictions on Russian investments abroad and foreign investments in Russia, as well as problems with dynamics of the Russian economy.

The government of the Russian Federation has announced the transition to payments for energy resources supplied to the People’s Republic of China in yuan. It also provides for the use of the Celestial Empire’s currency in settlements with third countries and the rejection of the dollar and the euro. Similar processes are taking place in other member states of the Eurasian Economic Union, most intensively in the Republic of Belarus. However, the need for deepening cooperation for China itself is greatly underestimated. Beijing needs it at the current stage based on the features of the Chinese model of economic growth of the last 15 years. The article examines the role of the external and internal markets in the economic growth of the PRC, the features of the current stage, the restrictions associated with it and ways to overcome them through deepening cooperation with the Russian Federation. In this regard, bilateral cooperation is becoming a key factor for China to maintain dynamic growth rates and economic stability. For Russia, this gives an opportunity to build its own ambitious economic development strategy with the use of the potential of the Celestial Empire.

The paper analyzes the history of the use of self-reports in economics in order to study the logic of overcoming methodological barriers in recent decades that previously limited the use of such data in economics. The two most widely used types of self-reported data in economics were considered: first, data on subjective expectations, intentions, and attitudes; second, data on subjective wellbeing, happiness, and life satisfaction. It is concluded that the main reasons for the changes can be identified as the transformations that took place in economics at the turn of the century: an increase in the prestige of applied research (the so-called “applied” turn), the fragmentation of the discipline, and a decrease in the importance of rational choice models compared to experimental and quasiexperimental methods. The prospects for the future use of self-reported data in economics are promising due to the methodological changes that have taken place, the expansion of interdisciplinary cooperation, and the rapid development of methods for collecting and processing data.

The study presents an approach that allows one to analyze various methods and types of socio-economic coordination from a unified methodological standpoint and to develop tools for designing coordination mechanisms. The basic foundations and prerequisites necessary for a unified description of various types of socio-economic coordination are analyzed. A conceptual model and a three-step algorithm for designing coordination mechanisms are proposed. Known methods of economic coordination are considered as a result of designing in accordance with the proposed algorithm. The results obtained have various theoretical and applied applications. On this basis agent-based simulation models can be created both for individual economic coordination mechanisms and for an economic system with built-in coordination mechanisms.

The paper analyzes the reasons and consequences of the dominance of the non-payments economy in Russia in the 1990s. Arguing with a recent paper by A.B. Chubais “Non-payments in the Russian economy of the 1990s: An unforeseen institution” (Voprosy Ekonomiki, 2003, No. 7), the author puts forward his own arguments for the emergence, spread and contraction of the phenomenon of non-payments. According to his point of view the fundamental reason for developing the barter economy in Russia was the need for directors and managers of enterprises to obtain empirical information and knowledge about the new structure and possibilities of the Russian economy. The methodological miscalculations of the authors of the concept of market reforms of the 1990s, associated with excessive trust in neoclassical economic theory, in particular, in the neoclassical concept of the firm, have been discussed. A broader view of the activity and interaction of economic agents has been proposed. It takes into account the achievements of institutional, evolutionary, behavioral, and system economic theories. An analogy between the early 1990s and the early 2020s in terms of the formation of the data economy and, in the future, the knowledge economy has been drawn. On the basis of the conducted analysis general recommendations for economic theory, policy and practice have been formulated.