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Studying the accessibility of tourism and recreation is taking on new relevance with stimulating tourist and recreational activities as an indicator of socio-economic development in Russian regions, on the one hand, and of the population’s needs to restore physical and emotional health, on the other. The observed inter-regional differentiation of Russian constituent entities in terms of recreation and tourism opportunities is determined by several factors. The economic one appears to be key, determining whether tourist travel is at all possible and what destinations are chosen by those living in regions. The purpose of this work is to classify regions in Russia, based on the effective demand level indicator, into typological groups by the accessibility of tourism and recreation to the population. We distinguish a total of five typological groups with regions differing in recreation and tourism opportunities. One-fifth of constituent entities in the Russian Federation show high or above-average potential in recreational activity and quality of destination choices. These territories can provide tourists to themselves and other regions, stimulating domestic tourism in Russia, as well as actively consume tourist services abroad. The dominant part of Russian regions (68.2%) belongs to the groups of low and below-average recreation and tourism opportunities. It puts forth the problem of domestic tourism accessibility. Further research will be aimed at identifying the accessibility of domestic tourism for the population residing in the regions from these typological groups, with due regard to price, infrastructure, and other territorial capabilities, across different types of tourism. The study applies the following methods: economic analysis, juxtaposition, comparison, generalization, induction, and deduction.

High-tech business (HTB) drives new products and markets, as well as reshapes traditional industries and ways of doing business, which is one of the key factors in long-term economic development. This article analyzes the state of high-tech business development at the regional level in conjunction with the economic complexity of regional economies. The role of HTB varies significantly in the economies of individual regions. Furthermore, regions differ by their economic complexity. Such an index is calculated based on the local export basket and reflects the availability of special production opportunities for further expansion. The aim of the article is to classify Russian regions, bearing in mind the patterns of HTB evolution and regional economic complexity, in order to then identify leading and outsider regions. The results of our analysis suggest that high-tech business is more extensive and advanced in economically more complex regions. Thus, the economic complexity of regions may be a criterion for determining strategies for their economic development, including measures to support HTB. The article proposes regional economic development policy strategies for the selected groups of regions, which take into account the existing opportunities to make economies more complex.

The article analyzes the processes of human capital reproduction in the Karelian Arctic, one of the regions in the Arctic Zone of the Russian Federation (AZRF). Our research aims to identify the spatial differentiation of migration factors for people residing in this region. Migration attitudes of the population serve as the most important indicator that allows us to talk about spatially determined differences amid human capital reproduction. It has been established that the Karelian Arctic, as much as the whole AZRF, is characterized by a decrease in the population due to its normal aging and low rates of natural reproduction. A few indicators reflect the transition to positive dynamics in inter- and intra-regional migration, which is most likely associated with new large city-forming enterprises recently appeared in the Karelian Arctic. The revealed differentiation of the reasons determining the population’s migration attitudes reflects certain social and economic conditions critical for the reproduction of the regional socio-economic system. In the Karelian Arctic, the most prominent among them are the state of health care and education, prevailing economic underdevelopment, and uncertain general prospects for socio-economic development of the region and its municipalities. The pole of economic development and relative social well-being - Kostomuksha municipal district - is an exception to these rules. We uncover how the Karelian Arctic’s economic space differs in terms of human capital reproduction.

The article presents a study of how scientific center’s residents perceive new science and technology (S&T) infrastructure, based on the 2006 and 2021 mass surveys conducted in Novosibirsk Akademgorodok. This research is relevant due to the issues most scientific centers faced in post-Soviet Russia and the need to transform these unique metropolitan settlements. Various projects to transform their environment are implemented with the purpose of solving the problems, among them the creation of technoparks and other new objects of S&T infrastructure. Their success largely depends on social factors, including the public perception of innovations. We consider two projects for new S&T facilities in Novosibirsk Akademgorodok: Technopark (2006) and SKIF Shared Use Center (2021). The perception of these projects by the population was assessed in terms of the following parameters: awareness of the project, attitude towards the project, and negative and positive expectations from the project implementation. As a result, we reveal how these perception parameters differentiate, as well as describe their possible conflict points and dynamics.

Modern socio-political and economic problems have increased the urgency of agricultural development through modern innovation. Such development is only possible with the availability of highly qualified personnel. However, at present, the rural economy of Russia experiences a shortage of necessary personnel, which is one of the reasons for the slow introduction of innovations and insufficiently rapid advancement of agriculture. This situation is due to the reluctance of young and skilled people to lead a working life in rural areas caused by such problems as low wages, domestic inconveniences, etc. Hence the necessity to work on solving these, preserve and grow human capital in agricultural production, thus filling the agrarian sector with labor resources in the necessary quantity and high quality and fully ensuring the food security in Russia and its regions.

The impact on labor markets of measures to contain the spread of COVID-19 almost immediately became the subject of increased attention to researchers across the globe. Already in mid-2020, analytical materials emerged estimating the magnitude and consequences of pandemic shocks at both the national and subnational levels. In this paper we propose that the shocks that labor markets responded to in 2020 should include not only restrictive measures to curb the spread of COVID-19 but also shocks of independent significance to the fall of several commodity markets. The purpose of the article is to characterize the reactions of the labor markets in Russian resource-type regions to the crisis of2020. We used Rosstat data as empirical basis to present regional labor markets by months/quarters of2020 as compared with the corresponding period in 2019. This study confirms that the Russian labor market has responded with traditional adjustment mechanisms, primarily flexible working hours. Their regulation by the state, on the one hand, helped curb the decline in employment and the growth of ILO unemployment rate, while, on the other hand, registered unemployment rose. At the same time, regional labor markets reacted differently to the 2020 shocks. This was due to the different impact of various recession factors, as well as to the different impact of institutional changes in the regulation of employment. The study revealed differences in the response to the 2020 shocks in the labor markets of resource-type regions with different degrees of resource dependence.

The availability, transparency, and quality of environmental information largely determine the quality of decisions made in the environmental sector, including those related to preventing the negative impact of environmental pollution on human health. Therefore, environmental data should be mainly kept in an open information space. This article examines the current state of environmental information from the standpoint of its availability and transparency and then identifies the critical problems in providing regional studies with data on environmental protection. We analyze why and to what extent it is difficult to provide information on the state of the environment in general and applied regional studies in particular. With an assessment of current legislative provision of environmental information, it is shown that the Law No. 39-FZ adopted in March 2021, which regulates the relations on providing citizens and organizations with environmental information, did not live up to expectations and, according to experts, will not lead to a noticeable improvement in the situation. Its weaknesses are noted and areas requiring further elaboration and refinement are highlighted.

For a model of circadian oscillator represented in the form of 6-dimensional nonlinear dynamical system, conditions of uniqueness of an equilibrium point, and conditions of existence of a periodic trajectory (cycle) are established. One client-server application is elaborated in order to fulfill numerical experiments with this model on a cloud server, and to visualize results of these experiments.

The numerical algorithm without saturation for wave equation is considered. It is supposed that Laplace's operator has the discrete, valid range, and the corresponding matrix of the discrete operator Laplace has the complete set of eigenvectors. The technique speaks the example of the one-dimensional equation, but during statement is shown that the dimension is insignificant here.

The goal of this work is to highlight the advantages of using NonStandard Finite Differences (NSFD) numerical schemes for the resolution of Ordinary Differential Equations (ODEs) and Partial Differential Equations (PDEs) of which some properties of the exact solution are a-priori known, such as positivity. The main reference considered is Mickens' work [14], in which the author derives NSFD schemes for ODEs and PDEs that describe real phenomena, and therefore widely used in applications. We rigorously demonstrate that NSFD methods can have a higher order of convergence than the related classical ones, deriving also the conditions that guarantee the stability of the analyzed schemes. Furthermore, we carry out in-depth numerical tests comparing the classical methods with the NSFD ones proposed by Mickens, evaluating when the latter are decidedly advantageous.