Abstract

The idea of a global world with free movement of people, goods and capital around the world is being revised not only by unorthodox economists, but also by adherents of liberal concepts. The tourism sector is no exception: entire countries are closing their borders, direct fl ights between them are canceled, security threats are increasing, and the geopolitical situation is changing dramatically. The purpose of this work is to analyze the trends in the development of tourism in Russia in the new reality, to analyze the dynamics of the development of individual sub–sectors of this sector, which in the future will allow the authors to develop recommendations for the development of institutional measures to support domestic tourism. The results of the presented work are the identifi ed trends in the development of tourism at the present stage and the analysis of economic indicators of the tourism sector of Russia in 2017–2021. The paper also highlights the main trends in the development of tourism in the Chelyabinsk region. In Russia, there is an active reorientation of tourism to the domestic, new regions are emerging — leaders in tourism. The volume of hotel services and other means of collective accommodation is increasing. Inbound tourism is signifi cantly reduced. The volume of tourist services provided has increased compared to the pandemic indicators. A study of the economic indicators of travel agencies and tour operators showed that there is an active investment, despite the decline in fi nancial indicators, companies see signifi cant prospects for long-term development of the industry due to internal potential. Travel agencies in general demonstrate an increase in fi nancial indicators, actively increase investments with the support of the state. Many regions, including the Chelyabinsk Region, demonstrate signifi cant progress in the development of domestic tourism, off ering new tourist routes and products. When conducting the study, the authors used data from open sources in the sectoral and regional context, in particular, the FiraPro information and statistical database, Rosstat data. Methods of statistical analysis, graphical interpretation of data, methods of analysis and synthesis were used in the study.

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