The current digital transformation makes Russia’s regions look for new digital tools for sustainable development. The authors explored the possibilities of sustainable development across Russia and classified the regions as advanced, medium, or outsiders. A comparative analysis of indicators of digital development made it possible to formulate recommendations on using digital technologies for local sustainable development. The research revealed a gap between the goals of sustainable development and the implemented digitalization policy in some regions. The research relied on data systematization, economic analysis, graphical method, and other standard methods. The materials were obtained from the public sources of the Federal State Statistics Service, Statista, the United Nations, legislative and regulatory acts that regulate the sustainable and digital development of Russian regions, and sample studies conducted by the Moscow State Institute of International Relations and the Higher School of Economics. The contradictions between the regional programs for sustainable development and the actual digital transformation strategies correlated with digital inequality. The analysis highlighted the major problems and limitations of the sustainable development in Russian regions. Currently, the reginal sustainable development depends on the effectiveness of digital alignment policy, its directions, and a set of measures aimed at overcoming the existing constraints in the sustainable development.
In taxi services, social rating is a sociotechnical phenomenon that transforms the nature of social interactions in the digital environment. The authors integrated the concepts of platform economics, algorithmic management, and digital trust to reveal the mechanisms of rating systems and their adaptation to local cultural contexts. The article describes the structural features, social consequences and cultural specifics of algorithmic rating systems using taxi services as an example. The comparative analysis involved seven major taxi service platforms (Yandex Go, Citymobil, Maxim, Uber, Bolt, DiDi, Gett), their document analysis, and 32 in-depth interviews with experts. The algorithmic ratings are more than a service assessment tool: they are a mechanism of social control that shapes new behavior patterns. They possess a certain paradoxical duality: sharing a universal technological basis, they nevertheless exhibit significant cultural plasticity, reproducing regional norms of social interaction. The social effects of taxi service ratings range from the transformation of labor relations to the reproduction of digital inequality. While improving the algorithmic management of social processes, the study offers a conceptual framework for analyzing the balance between the effectiveness of platform solutions and the protection of user’s rights. Apart from being quality control tools, the rating algorithms of taxi services are complex socio-technical systems that reproduce and transform cultural norms. Their development will depend on how well technological efficiency can be combined with cultural diversity. The platforms are likely to shape the new models of social interaction that go far beyond the service sector.
Effective public policy can socialize the vector of technological development. The article describes the best practices applied by technology-advanced nations in implementing the principles of Industry 5.0. Using their experiences in socially-orientated technologies, the authors developed a public policy toolkit that promotes the principles of Industry 5.0. The methodology included content analysis, dialectical method, comparative analysis, graphical method, systematization, economic analysis, and system approach. The comparative analysis featured such technologically advanced countries as Japan, South Korea, China, the USA, Singapore, Russia, Great Britain, the UAE, and Switzerland. It covered strategic approaches to social orientation, ethical regulation tools, financial instruments, education policies, and staffing. These aspects were tested for technological compliance with the objectives of Industry 5.0 using criteria as the sustainability of digital development, as well as the priority of human well-being. Germany and Japan seem to demonstrate the greatest consistency with the goals of Industry 5.0 while South Korea, Singapore, the USA, Great Britain, and Switzerland are at the transition stage. China, Russia, and the UAE experience some difficulties in realizing the principles of Industry 5.0. The authors developed a set of government measures to promote socially oriented technological solutions that may help to overcome the transition stage.
Anti-Russian sanctions affect the country’s economy at the corporate, regional, and federal levels, threatening national security. This article identifies Russian regions that are particularly vulnerable to external threats. A review of publications on the economic consequences induced by foreign sanctions made it possible to develop a method for identifying priority regions with the lowest levels of economic security. The approach relied on hierarchical cluster analysis of economic security indicators. The obtained data were subjected to such economic and statistical methods as the analysis of absolute and relative indicators, mean values, and dynamics series, as well as an index approach. The levels of economic security and resilience potential varied significantly across the country. The authors propose a set of measures to bolster the economies of the most vulnerable regions based on their industrial profiles, socio-economic strategies, and available resources.
All consumers of electric energy (capacity) operating as part of the national energy systems have direct or indirect technological connection to the electric networks of a grid organization and have to pay for the electricity transmission. The cost of electricity transmission is high, and its pricing is different for each industrial consumer. As a result, energy consumers have to plan their energy consumption, monitor the electricity transmission pricing, and manage the costs for transportation services. The author developed a new methodology for calculating the cost of energy transmission services and capacity tariffs. The algorithm relies on the specific calculation parameters, unified regional tariffs for energy transmission, and various types of tariff voltage levels. The formulae refer to the official regulations in single-rate and double-rate terms. The article also provides a method for calculating the payment obligation for the maintenance of grid facilities. The calculations were illustrated by the example of an industrial enterprise connected to the Rosseti Siberia electric grid, Kemerovo Region. The results can be useful for energy companies, industrial enterprises, and state regulators of the electric power industry.
