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Aim. Analyze three options for the development and construction of the Eurasian space (Russian, Chinese and Turkic) and identify the advantages and risks associated with both the expansion of integration processes and external influence on states that are members of coalitions of the nonWestern world.Tasks. To trace the evolution of supranational structural formations in the Eurasian space after the collapse of the Soviet Union and their appearance in declarations, agreements and other legal documents, starting with statements about “the formation and development of a common economic space, pan-European and Eurasian markets”.To identify the characteristic features of globalization of all spheres of human existence, which has given rise to the need to understand the “landscape of global risks”, “global existential catastrophe” as an event leading “to the end of the existence of our descendants”, which together determined the transition to the formation of nation states, geopolitical and geo-economic coalitions in the Greater Eurasia space (“Central Asian Five”, EEAS, SCO, CSTO, UTC).Results. The concept of three main projects for the construction of Greater Eurasia is substantiated: Russian, based on the revival of the Eurasian ideology of N. S. Trubetskoy, P. N. Savitsky and G. V. Vernadsky; the Chinese “Belt and Road”, aimed at transforming the idea of the Great Silk Road into a Community of a Common Destiny for Humanity; Turkic, claiming to recreate the Turkic civilization with the goal of “bringing world civilizations closer together” on the Eurasian continent.The author’s position is argued regarding the need to ensure coplanarity and unidirectionality of the three vectors of implementation of Eurasian projects with the consistency of political decisions and actions of the three poles of power in the Greater Eurasian space — Russia, China and Turkey.Conclusions. Currently, the coordination of political decisions and actions of the three poles of power in the Greater Eurasian space, taking into account the principles of convergence of national interests in interstate unions, global geopolitical processes of multi-agent interaction and global security strategy in a polycentric world, is becoming relevant.

A structural analysis of macroeconomic dynamics of the OECD countries andRussiain 1970–2008 has allowed to detect the main problem of Russian economy connected with the accumulated structural disproportions. It is shown that in order to perform a transition to a balanced economic structureRussiahas to fulfill an innovation-technological breakthrough in the forthcoming decade. It is shown that the optimum place forRussiain the world economy of the 21st century is connected with the high technology scientifically based production. The strategy of modernization and industrial policy that could allow to form it are discussed. We suggest the medium-term import substitution strategy as a trigger of the long-term strategy of the formation of innovation scientifically based Russian economy in the first half of the 21st century. We offer a forecasting calculation of the dynamics of technological progress and GDP forRussiaup to 2050 on the basis of our mathematical model that describes the abovementioned long-term strategy of the innovation development of the Russian economy. Those calculations suggest that the Russian economy (using GDP PPP as a criterion) may become already by 2030 the 4th largest economy of the world.

This paper is reflecting results of forecasting scenario of economic growth and shown that NBIC-technologies, due to the powerful synergetic effect generating by a mutual convergence of nano-, bio-, info- and cognitive technologies, will give strong acceleration pace of technological progress, which exceeded the rate achieved in the previous upward wave of 5th great Kondratieff ’s economic cycle (1982–2006). On the base of theUSAeconomy data, the results of forecasting shows that the rate of technological progress will increase from 2,2% in 1980 to 3,5% in the 2030 s.

The global energy transition is an uneven process, fundamentally related to the level of economic development of countries and their access to energy resources (renewable and non-renewable) to a large extent. The global climate is interconnected, and all nations impact it through their products and services. The six countries discussed—China, Brazil, Germany, Japan, Russia, and India—account for 44.8% of global primary energy consumption and 49% of global CO2 emissions. Each of them has its own strategy for achieving carbon neutrality, based on different decarbonization scenarios, which, according to the authors, depend on geopolitical factors, national economy characteristics, and the established pragmatic goals and objectives. However, the "green agenda" itself may not always be among the top priorities when formulating energy strategies. The study objective is to analyze the feasibility of the stated goals in these countries using a combined logistic curve-based forecasting tool for predicting solar and wind production as well as investment volumes. It aims to justify the relation between solar and wind energy production and investment policies using a calculated technological coefficient. Results show similar, but time-shifted fluctuating investment dynamics in solar and wind energy trends in Japan, Germany and China, with Germany and Japan outperforming investment forecasts when considering the technology efficiency coefficient. Furthermore, the findings highlight the overwhelming appreciation of the unevenness of the green transition process, which will consequently make it impossible to meet the goals of the Paris Agreement until 2050. Taking these factors into consideration, exploratory decarbonization scenarios for these six major world economies alongside two dimensions, namely, the pace of green transition versus green technology and versus resources, are presented. [ABSTRACT FROM AUTHOR]

The paper aims to assess how the existing imbalance between the education system and the regional economy influences the formation of spatial inequality and uneven economic development. Based on the structural and comparative analysis of data on Russia and China as the members of the Organization for Economic Co-operation and Development, we demonstrate that the technologies of the 4th Industrial Revolution shift the demand for highly skilled labour force. This situation leads to the gap between labour demand and supply, as the education systems are oriented to the economic needs of the 3rd Industrial Revolution. We consider cross-country differences in the quantity of STEM graduates and researchers (science, technology, engineering, and mathematics) as a possible cause of spatial inequality in the context of digital transformation. Further, on the example of Russia, we apply correlation and regression analysis to show that the discrepancy between the skill level of graduates and market expectations contributes to regional development inequality. We demonstrate the strong relationship between the share of unemployed persons among the economically active population and the skills of the labour force for all federal districts of the Russian Federation. On average, an increase in the share of employees with higher or secondary vocational education by 1 % decreases unemployment by 0.32 %. Additionally, in all federal districts of Russia, there is a discrepancy between the economic need for highly qualified workers with higher education and the education system producing too many specialists with secondary vocational education. The discrepancy between the structure of skilled labour force produced by the education system and the employment structure in the labour market by 10 % increases unemployment by almost 1 %. The results of the study can be used by the government for creating the development strategy of the education system and reducing spatial inequality.

Monitoring CO2 from space is essential to characterize the spatiotemporal distribution of this major greenhouse gas and quantify its sources and sinks. The mixing ratio of CO2 to dry air can be derived from the CO2∕O2 column ratio. The O2 column is usually derived from its absorption signature on the solar reflected spectra over the O2 A band (e.g. Orbiting Carbon Observatory-2 (OCO-2), Thermal And Near infrared Sensor for carbon Observation (TANSO)/Greenhouse Gases Observing Satellite (GOSAT), TanSat). As a result of atmospheric scattering, the atmospheric path length varies with the aerosols' load, their vertical distribution, and their optical properties. The spectral distance between the O2 A band (0.76 µm) and the CO2 absorption band (1.6 µm) results in significant uncertainties due to the varying spectral properties of the aerosols over the globe. There is another O2 absorption band at 1.27 µm with weaker lines than in the A band. As the wavelength is much closer to the CO2 and CH4 bands, there is less uncertainty when using it as a proxy of the atmospheric path length to the CO2 and CH4 bands. This O2 band is used by the Total Carbon Column Observing Network (TCCON) implemented for the validation of space-based greenhouse gas (GHG) observations. However, this absorption band is contaminated by the spontaneous emission of the excited molecule O2*, which is produced by the photo-dissociation of O3 molecules in the stratosphere and mesosphere. From a satellite looking nadir, this emission has a similar shape to the absorption signal that is used. In the frame of the CNES (Centre National d'Études Spatiales – the French National Centre for Space Studies) MicroCarb project, scientific studies have been performed in 2016–2018 to explore the problems associated with this O2* airglow contamination and methods to correct it. A theoretical synthetic spectrum of the emission was derived from an approach based on A21 Einstein coefficient information contained in the line-by-line high-resolution transmission molecular absorption (HITRAN) 2016 database. The shape of our synthetic spectrum is validated when compared to O2* airglow spectra observed by the Scanning Imaging Absorption Spectrometer for Atmospheric Chartography (SCIAMACHY)/Envisat in limb viewing. We have designed an inversion scheme of SCIAMACHY limb-viewing spectra, allowing to determine the vertical distribution of the volume emission rate (VER) of the O2* airglow. The VER profiles and corresponding integrated nadir intensities were both compared to a model of the emission based on the Reactive Processes Ruling the Ozone Budget in the Stratosphere (REPROBUS) chemical transport model. The airglow intensities depend mostly on the solar zenith angle (both in model and data), and the model underestimates the observed emission by ∼15 %. This is confirmed with SCIAMACHY nadir-viewing measurements over the oceans: in such conditions, we have disentangled and retrieved the nadir O2* emission in spite of the moderate spectral resolving power (∼860) and found that the nadir SCIAMACHY intensities are mostly dictated by solar zenith angle (SZA) and are larger than the model intensities by a factor of ∼1.13. At a fixed SZA, the model airglow intensities show very little horizontal structure, in spite of ozone variations. It is shown that with the MicroCarb spectral resolution power (25 000) and signal-to-noise ratio (SNR), the contribution of the O2* emission at 1.27 µm to the observed spectral radiance in nadir viewing may be disentangled from the lower atmosphere/ground absorption signature with a great accuracy. Indeed, simulations with 4ARCTIC radiative transfer inversion tool have shown that the CO2 mixing ratio may be retrieved with the accuracy required for quantifying the CO2 natural sources and sinks (pressure-level error ≤1 hPa; XCO2 accuracy better than 0.4 ppmv) with the O2 1.27 µm band only as the air proxy (without the A band). As a result of these studies (at an intermediate phase), it was decided to include this band (B4) in the MicroCarb design, while keeping the O2 A band for reference (B1). Our approach is consistent with the approach of Sun et al. (2018), who also analysed the potential of the O2 1.27 µm band and concluded favourably for GHG monitoring from space. We advocate for the inclusion of this O2 band on other GHG monitoring future space missions, such as GOSAT-3 and EU/European Space Agency (ESA) CO2-M missions, for a better GHG retrieval.

This paper presents the results of computational and physical studies on the production of corium and its retention in an MR’s melt trap of the Lava-B facility. A feature of the Lava-B facility used in the IAE NNC RK to study the processes occurring during a severe accident at a nuclear reactor, is the separation of the stages of the reactor core corium formation and its interaction with structural materials. The melting of materials takes place in an induction furnace with a hot crucible, after which it moves to a melt receiver (MR) in which the test object is located. In the case of studies of processes occurring outside the reactor vessel, this is a special trap, which is placed in the inductor to simulate decay heat. However, based on the conservative computational estimates, it was found that the inductor power in the MR can be sufficient to directly produce, melt, and, subsequently, maintain the corium in the liquid phase. In this regard, in order to optimize the experiments under controlled conditions, the authors came up with the idea to experimentally test the possibility of producing corium by induction heating directly in the MR’s melt trap. In addition, according to the authors, this method would obviate the problem of corium contact with the carbon environment of the melting furnace of the Lava-B facility. Previously, burden heating simulating corium was modeled on the computer using available parameters of the MR’s induction heater. Based on the numerical experiment, the conditions for physical modeling of the corium production in the MR’s melt trap were established. An analysis of the physical modeling showed that during the burden heating in the melt trap, its metal components became liquid, thus, forming a melt pool. However, in terms of this design of the trap, there were problems associated with the complete melting of all corium components, as well as with the integrity of the experimental device when forming the corium pool and during the actual physical modeling.

The paper presents the results of a socio-philosophical analysis of virtual reality. The authors explore the concept of virtual reality in the context of human existence, everyday life. Having created a virtual environment in the image and likeness of a real society, a person turned it into a new sphere of socio-cultural activity. There have been changes in the structure of human consciousness related to the need to adapt to the conditions of virtuality. A person of the new information age is homo virtualis, a subject of virtual reality – a new socio-cultural environment, the cognition of which is carried out through virtual consciousness characterized by clip thinking. The study of the stated problem is carried out by methods of dialectical cognition, literature analysis, synthesis and modeling of socio-cultural phenomena. The presented review reflects the multidimensionality and ambiguity of the studied phenomenon. According to the authors, in the foreseeable future, virtual reality will become an independent cultural phenomenon (cyberculture), or it will completely absorb the human mind, building its world according to its own laws. One thing we can say for sure: virtuality is more indeterminate than objective reality, and its main properties will remain unpredictability and uncertainty. It is concluded that by creating a virtual environment in the image and likeness of a real society, a person has turned it into a new sphere of socio-cultural activity. There have been changes in the structure of human consciousness related to the need to adapt to the conditions of virtuality.

The rapid growth of trade between Asia and Europe facilitated the revival of the Great Silk Road that used to be one of the main trade routes. The new Silk Road can pass through the territory of several states, contributing to their economic growth. The exact route of the new Silk Road is yet to be defined, as there are several alternative options. We developed a mathematical model based on the thermal conductivity equation, which is widely used in physics. Our model assesses how Trans-Eurasian transport flows will change in case of implementing a particular route variant of the Chinese project “One belt, One road” (taking into account the modernisation of the Russian railway network). Based on the spatial distribution of the goods’ supply and demand, this spatial model simulates and predicts the flow of goods in a particular geographical area. The model uses correlations linking the characteristics of commodity flows and the spatial distribution of prices in the considered territory. We have presented results of calculations for several scenarios of modernisation, including the inertial scenario, which maintains the current scheme of transportation of goods. Moreover, we have examined a scenario, involving the construction of the high- speed Northern corridor of the Trans-Asian railway, including the high-speed line Moscow-Kazan-Ekaterinburg-Kazakhstan-Urumqi, as well as a scenario in which the Silk Road passes through Kazakhstan. The simulations have shown that creation of a high-speed highway from Vladivostok to the Russian Western border is the most favourable scenario for implementing Russia’s transit opportunities and accelerating its economic growth. The simulations’ results can be used for assessing the effectiveness of infrastructure projects aimed at modernisation of the Russian transport network.

The outburst of the COVID-19 pandemic and its rapid spread throughout the world in 2020 shed a new light on mathematic models describing the nature of epidemics. However, as the pandemic shocked economies to a much greater extent than earlier epidemics, the recovery potential of economies was emphasized and its inclusion in epidemic models is becoming more important. The present paper deals with the issues of modeling the recovery of economic systems that have undergone severe medical shocks, such as COVID-19. The proposed mathematical model considers the close relationship between the dynamics of pandemics and economic development. This distinguishes it from purely “medical” models, which are used exclusively to study the dynamics of the spread of the COVID-19 pandemic. Unlike standard SIR models, the present approach involves the introduction of the “vaccine” equation to the SIR model and introduces correction components that include the possibility of re-infection and other nuances such as the number of people at risk of infection (not sick with COVID but not vaccinated); sick with COVID; recovered; fully vaccinated (two doses) citizens; the rate of COVID infection; the rate of recovery of infected individuals; the vaccination coefficients, respectively, for those who have not been ill and recovered from COVID; the coefficient of revaccination; the COVID re-infection rate; and the population fluctuation coefficient, which takes into account the effect of population change as a result of births and deaths and due to the departure and return of citizens. The present model contains governance so that it not only generates scenario projections but also models specific governance measures as well to include the pandemic and restore economic growth. The model also adds management issues, so that it not only generates scenario forecasts but simultaneously models specific management measures as well, aiming to suppress the pandemic and restoring economic growth. The model was implemented on specific data on the dynamics of the spread of the COVID-19 pandemic in selected developing economies.

The purpose of the research consists in the quantitative evaluation of long-term macroeconomic, social, geopolitical effects from the realization of the project of the development of the railway network in Siberia and the Far East, including the building of high-speed rail. In the study, we applied the methods of mathematical simulation and forecasting. Calculations with the use of the developed mathematical models have shown that the implementation of this project will play a large role in the socioeconomic development of the country as well as in strengthening its geo-economic and geopolitical positions in the Asia-Pacific Region and in the world as a whole.

The article discusses approaches to the study of tourist attractiveness in terms of economics, marketing, social communication and sociology of management. The results of the authorial sociological study of citizens’ overall satisfaction with the quality of tourist services and tourist attractiveness of the Saratov Region are analyzed. A questionnaire survey of 1,200 respondents was conducted in the autumn of 2016, and the results formed the basis for the implementation of the project «Introduction to the Saratov Region: A Guide to Historical Sites», supported by a Presidential grant from NGO. The conclusion is that domestic tourism in the Saratov Region is now in the stage of development and determining its place among the potential visitors. As it is impossible to compete with foreign beach, mountain, and shopping routes for objective geographical, climatic and economic reasons, it is necessary to look for opportunities in other equally promising directions.

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