The global crises that the Russian economy has to face contribute not only to the destruction of traditional trade, economic and logistics ties, but also to improving the quality of state strategic management. The macroeconomic situation develops in such a way that centralized planning and regulation of socio-economic processes becomes a tangible advantage and can produce high effect both in the long term and in tactical perspective. The advantages will be given to those subjects of the Russian Federation whose management will be carried out on the basis of a system of balanced measures to support reproductive processes, a reasonable redistribution of financial, economic and human resources and comprehensive programs aimed at overcoming interrelated constraints. The article presents an overview of scientific and theoretical approaches to managing socio-economic development of regions, taking into account spatial and territorial features of the organization of economic activity and current global trends. The trends of socio-economic development of the Sverdlovsk region and the peculiarities of regional management in conditions of increasing crisis pressure are considered. The purpose of the article is to develop an algorithm for crisis management of the region, taking into account the state and prospects of economic development. The authors argue that governance in the region is characterized by specific characteristics, the main task of which is to ensure stable socio-economic development, regardless of the influence of negative factors of an economic, political or social nature using effective tools that proactively affect problems and constraints. The authors determine the necessity to identify the factors contributing to the development of crisis situation in the region, which will significantly improve the quality of program development according to industry and subject criteria. The analysis of socioeconomic indicators of the region's development allowed us to draw conclusions concerning the effectiveness of targeted support by industry and subject criteria, which is currently widely used in Russia.
