Relevance. The spread of the coronavirus infection and the ensuing economic restrictions significantly influenced the main parameters of the socio-economic development of Russia and its territories, affecting the growth rate, production structure, territorial differentiation and competitiveness of Russian regions. Purpose of the study. The key goal of the study was to identify the socio-economic changes in the development of the country and its regions during the pandemic. Data and Methods. The analysis relies on open data on the socio-economic development of Russian regions for 2019–2021 (monthly, quarterly and annual periods), posted on the official website of Rosstat. Methodologically, the study is based on the comparative analysis of the data for the federal districts and their regions. Results. The study describes the main trends in the development of industry, trade, paid services, and investment potential and in the dynamics of unemployment and income in federal districts and regions. The first wave hit Russian regions the hardest due to the rigorous restrictions. Although no sharp recession was detected during the second wave, the stagnation in the key sectors persisted. The third wave is expected to have the same impact as the second. Conclusions. After the second wave subsided, there was a revival of economic activity in the spring of 2021. However, this has not turned into a steady trend yet. The coronavirus pandemic affected the competitiveness of regions. The importance of certain factors (including those related to resource potential) decreased during the pandemic, while the role of the competitive position of regions in the distribution of federal budget transfers increased.

Relevance In 2022, Russia has been facing unprecedented sanctions pressure, which has created a need to reconsider the established classifications of sanctions. As the new challenges arise, one has to deploy not only the current analytical resources but rely on the integrated conceptualization of earlier cases. Research objective. The study aims to describe and test methodology for analysis of sanctions regimes by using the current data on the sanctions against Russia. Data and method. The study relies on the methods of case study and statistical analysis and uses the data provided by Rosstat, Central Bank of the Russian Federation, Castellum.AI, UNCTAD. Results. The study proposes a base model of sanctions which combines two dimensions – the areas of foreign economic activity impacted by the restrictions and the factors that determine the sanctions' influence on the target country. It is shown how the proposed model can be adjusted for the analysis of the Russia sanctions regime. Conclusions. The sanctions put considerable pressure on Russia's economy because by the nature of their impact and scope they far exceed the scale of the restrictions that were previously applied to other countries. To withstand the sanctions pressure, a serious revision and reorganization of the country's foreign trade structure and domestic economic policy is necessary.