This review is devoted to an overview of the prospects for the development of the global hydrogen market and the strategies of individual countries aimed at transforming energy systems in favor of decarbonization and greening through the use of hydrogen. Special attention is paid to the prospects for the development of the Russian hydrogen market. The authors of the review used the method of comparative analysis and analytical generalization of publications, programs and regulatory documents from different countries. The results of the comparative analysis led to the conclusion that most of the publications currently focus on the technical and technological aspects of hydrogen energy, solving the problem of increasing the efficiency of methods for the production, transportation, distribution and storage of hydrogen fuel. The results of the analytical generalization led to the conclusion that in all countries of the world, the technology for the production of highly environmentally friendly “green” hydrogen is at an early stage, which makes it highly dependent on government initiatives to develop hydrogen projects and government funding of both scientific research in this area and realizable projects. In addition, the peaks of interest in the field of hydrogen energy are associated with market changes in the fossil energy markets, which makes the development of this technology unstable and dependent on market conditions. Moreover, the focus of attention of a number of authors is the prospects for the development of the hydrogen market. It is concluded that many countries are ready to invest in the development of hydrogen energy and, given the growth in demand for hydrogen, are ready to export it at an affordable price. That is, in the future, the international hydrogen market, as technical, technological, and economic problems are solved, will grow. The results of the study also indicate the fundamental co-direction of the trends in the development of hydrogen energy in Russia with global trends. At the same time, it should be emphasized that the high resource and scientific and technological potential allows Russia to fully focus its strategy on its implementation, not only developing the domestic market but also acting as an exporter of hydrogen and expanding international cooperation in this area.

The preferential regime of the Arctic Zone of the Russian Federation is the latest regulatory mechanism designed to overcome negative socio-economic trends in the macroregion. The accumulated factual data over the three-year period of this work have made it possible to make the first reasonable estimates of its effects on the regional economy. The purpose of this study is to investigate the presence of transformational changes in the relationship between employment and investment due to the introduction of the preferential regime for key sectors in the regions that are fully or partially included in the Russian Arctic. The relationship between investment and employment in regional industries was studied using least squares regression analysis using Advanced Grapher 2.2 software. The results show, firstly, significant differences in trends in the implementation of preferential treatment: increased economic specialization of some regions and diversification of the economies of other regions. Secondly, there is a slowdown in the emergence of new projects. Thirdly, the markedly different employment effects across industries and regions of the Russian Arctic, as well as the changing nature of the relationship between investment and employment, require a significant revision of regulatory measures and economic policies to maximize regime effects and achieve sustainable long-term regional development.

Currently, the search for the mechanisms of increasing regional economic growth based on domestic factors became relevant. One promising source such growth is the transport infrastructure. The development of the road network infrastructure and transport centers can become a significant source of quality of life and economic activity, because transport infrastructure has the ability to spread of positive indirect effects. Indirect effects of transport infrastructure will be to the expansion of effects from enterprises embedded in interregional and international production chains to the local level. In the article due to econometric models author shows the relationship between regional economic growth and transport infrastructure level of development. At the same time, institutional terms and practices of strategic management can limit the opportunities of regional growth through these mechanisms. On the example of some socio-economic and infrastructural development programs of the Leningrad region of the Russian Federation one shows inconsistency in the infrastructure and socio-economic development guidelines. The proposed models allow to compare of strategic guidelines of different programs and makes it possible to justify some adjustments. These adjustments are necessary to achieve the benchmarks of socio-economic development. Generally, on the basis of the analysis it becomes possible to propose measures to improve the structure and content of socioeconomic and infrastructural development programs of territories, which would allow more fully take into account the indirect effects which appeared in the development of transport infrastructure.

Economic measures applied to the Russian Arctic. The study's relevance stems from the need for a comprehensive assessment of trends and outcomes associated with the use of such measures under current conditions. The goal of the research is to develop a method for measuring the performance of the Russian Arctic as a preferential treatment zone. The proposed method employs a system of indicators that capture various aspects of the measures' effectiveness, ranking methods, and the creation of integral indices designed to identify regional characteristics. Additionally, correlation analysis, specifically Spearman's rank correlation coefficient, is used to demonstrate the complexity and co-directionality of processes within regional economies, which influence the effectiveness assessments. The article provides integral evaluations of using preferential economic measures in the regions of the Russian Arctic. The Chukotka Autonomous Okrug ranks first in terms of implementation intensity, followed by the Republic of Karelia and the Arkhangelsk Region. The Murmansk Region occupies third place, while the Nenets and Yamalo-Nenets Autonomous Okrugs are positioned at the bottom. This ranking does not reflect the overall level of economic development in these Arctic regions but highlights the specific contributions of processes driven by preferential treatment. The correlation analysis between the indicators reveals the complex impact of preferential treatment on economic processes across the Arctic regions. The study's exploration of co-directionality through integral indices shows a spatial mismatch due to variations in the relationships between indicators across different regions. The scientific novelty of the research lies in the development and testing of this methodology, as well as the identification of regional specificities in implementing preferential economic measures. The practical significance of this research lies in its justification for the need to systematically monitor regional specificities in the implementation of preferential economic measures. This monitoring can serve as the foundation for developing targeted local measures with higher economic efficiency.

In a rapidly changing economic landscape, a crucial challenge for state economic policy is the need for a differentiated approach to regional development. Despite its importance, this aspect has been insufficiently explored within the framework of macroeconomic regulation. This study investigates regional identity through the unique configurations of economic, innovative, technological, and transport potentials, and their influence on economic growth. At the first stage, a cluster analysis was performed to classify Russian regions into eight groups, based on 27 economic and structural indicators. These indicators encompass various dimensions such as economic capacity, innovation, technological readiness, and transport infrastructure. In the second stage, multiple regression analysis was used to evaluate the effect of these factors on per capita gross regional product. The econometric modelling revealed key drivers of regional growth and identified the factors most significantly influencing development. Analysis of each cluster highlighted the varying degrees of factor potential and future development prospects. The findings suggest that many regions are not fully exploiting their available resources, while some are facing significant constraints to growth, underscoring the need for technological transformation. The study proposes an interregional cooperation policy aimed at redistributing technological capabilities and fostering technology transfer. This approach can help policymakers design more effective economic policies that promote sustainable growth, improve technological development, and balance regional potential.

The study is devoted to the adaptation and testing in Russian conditions of the internationally recognised toolkit for measuring the values of socio-cultural characteristics according to the Hofstede model at the individual level. The results of approbation on the basis of a sociological study of the Arctic territories of the Republic of Karelia (n=1042) conducted in 2023 were presented. The territorial specificity of the values of socio-cultural characteristics of individuals according to the Hofstede model was determined, as well as their expression in the context of social groups (in particular, gender). The greatest differences can be traced for the indicator "masculinity", and the minimum differences for the indicator "collectivism". The relevance of the model of cultural indicators was checked and the convergence of measurements was assessed. The techniques of factor analysis by principal component analysis (PCA), multidimensional scaling (ALSCAL), and hierarchical cluster analysis were applied. The quality of factor analysis was checked on the basis of Bartlett sphericity criterion values and Kaiser-Meyer-Olkin statistics of the sampling adequacy measure. Also, to check the reliability of the tools used, the results of the authors and the developers of the methodology were compared using the Cronbach's alpha coefficient (α). The obtained values of the coefficient indicate high reliability of the used toolkit, as well as confirm the preservation of the scales' measuring ability after translation for five indicators out of six. For the sixth indicator, "long-term goal-setting", it is reasonable to adjust the translation of the questions based on the relatively lower Cronbach's alpha coefficient (α). Nomological validity analysis confirmed the relevance of the presented tool. This allows us to speak about the achievement of the research goal and successful adaptation and validation of the actual toolkit for calculating the values of sociocultural characteristics according to Hofstede model at the level of individuals in the conditions of Russia. The applied scales are characterised by high reliability and validity. The prospect of further research is to expand the geography of the toolkit application and to compile an ethnometric database of the regions of AZRF on the values of socio-cultural characteristics according to the Hofstede model measured at the level of individuals, to analyse the patterns of spatial differentiation of indicators, as well as to study the aspects of influence within the triad "space - socio-cultural specifics of individuals - reproduction of human capital”.