This paper examines briefly methods estimating the innovation potential of the RF regions and presents the results of their comparison. The significance of the research of innovation potential is based, on one hand, on the ever increasing role of innovation and education assets of the Russian territories and, on the other, on essential shifts that have occurred in knowledge differentiation due to changes in technologies and in their use.

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Subject. This article explores the problem of labor resources in single-industry towns of Russia. Objectives. The article aims to develop forecast scenarios for changes in the demographic situation in single-industry towns of Russia. Methods. For the study, we used statistical, regression, and scenario analyses. Results. The article finds that various factors contribute to the growth of the population of single-industry towns, such as the expansion of housing construction, increasing the availability of health services, the development of trade, etc. Conclusions. The development of Russia's single-industry towns requires long-term investment in production, and diversification of the economy is also necessary.

Subject. The article considers special aspects of economic development of a single-industry town. Objectives. The purpose is to identify factors affecting the socio-demographic position of Zverevo single-industry town, Rostov Oblast, by building regression models. Methods. The study rests on methods of statistical, correlation-regression analysis. Results. Demographic situation in the single-industry town is characterized by a decrease in the population due to a drop in the birth rate (with a slight increase in mortality). The creation of new enterprises and jobs has no positive impact on the demographic situation in the single-industry town. Conclusions. The constructed regression models can be used in the analysis of demographic situation in various regions of Russia.

Subject. This article deals with the issues of development of the economy of monocities and creation of agglomerations. Objectives. The article aims to assess the impact of an urban agglomeration on changing the demographic situation in the monocities that make up its membership. Methods. Examining the data of the Federal State Statistics Service, and official websites of the Nizhny Novgorod Oblast and monocities under consideration, we used a comparative analysis. Results. Manufacturing and agriculture are the basis of the industry specialization of the monocities under consideration. During the period 2018–2020, the demographic situation in the monocities of the Nizhny Novgorod metropolitan area has not changed much. Conclusions. To include a monocity in the metropolitan area, its various features should be considered. Comprehensive institutional measures to create effective governance models are necessary to heighten an agglomeration effect.

Subject. This article discusses the demographic factor in the economic development of Russia. Objectives. The article aims to assess the demographic situation in the monotowns of Zverevo and Donetsk of the Rostov Oblast both taking into account the industry-specific orientation of their township-forming enterprises, and taking into account the assignment of an advanced-social-economic-development-area status to them. Methods. For the study, we used the descriptive and statistical methods of analysis. Conclusions. The assignment of the status of a Priority Social and Economic Development Area (PSEDA) to the monotowns under consideration did not bring about an improvement in the demographic situation. The industry-specific orientation of the township-forming enterprise does not affect the demographic situation in the monotown. The considered demographic problems of monotowns are relevant and should be taken into account when developing a strategy for the socio-economic development of these institutional entities.

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An approach to territorially localized innovation clusters as large-scale economic systems with an institutional component in their structure is developed in this paper. The approach is methodologically based on the G.B. Kleiner’s system paradigm according to which systems can be presented as a set of four elements – objects, environments, processes, and projects. Identifying institutions as systems allows incorporate the institutional component in the system paradigm. Taking into account the possibility for four-element representation of institutions as systems, the institutional features of such largest innovation clusters as Russian Skolkovo and American Silicon Valley are considered.