The interaction of statistics and society has always had its own historical features, and brought to life specific problems of mutual understanding, which were predetermined by many factors related to the conditions, level and quality of life of the population. In this aspect, a critical analysis of the place and role of the institution of statistics in society is of current importance, especially from the standpoint of claims made by citizens to officially published statistical information.

The purpose of the research presented in this article is to develop a methodology for identifying promising areas with the greatest potential for the development of cycling infrastructure (CI). This problem is among the most urgent in modern urban planning, giving the context of the issues of “green” and “sharing” economies that influence the practice of planning and development of CI. At the same time, paradoxically, at the moment there are no institutionalized methodological approaches to solving these issues, and the problems of planning and development of CI are solved in a situational way in the vast majority of cases.

Materials and methods. The research is based on a broad analysis of both domestic and foreign scientific and practical works devoted to the approaches for CI planning and development. It is worth

noting that these sources lack any significant methodological unity, and approaches to the issues under consideration differ significantly. Among the methods used in this study, it is necessary to distinguish the methods of the theoretical group: analysis, synthesis, abstraction, generalization, application of analogies, classification, formalization. Empirical methods (observation, comparative analysis) were also used in the study.

As the most significant results of this study, it is worth mentioning the development of a holistic and universal methodology for identifying promising areas with the greatest potential for the development of CI. Created on the basis of an in-depth analysis of foreign experience, this methodology provides an opportunity to find optimal “growth points” of the city cycling infrastructure within the framework

of a systematic approach. The methodology is presented in the form of an algorithmic scheme, as well as a detailed description of its constituent stages. Although the methodology described in the article was developed for use on the territory of a large city (Moscow in particular), its provisions are universal. This allows, with some refinement, to adapt the methodology for the local needs of a particular urban or rural settlement, urban agglomeration etc.

Thus, this technique can be considered as universal tool in solving the problems outlined above.

Due to its practical orientation and limitations of journal publication, the article does not contain a pronounced conclusion. At the same time, the developed methodology suggests the possibility of further improvement, especially if it is used as a basic one in solving issues of CI planning and development.

The reproduction process in agriculture is closely related to the agri-food market and ensuring the country’s food security. In modern literature, reproduction processes in agriculture are considered separately from the agri-food market, in turn, these concepts are interrelated. The development of the agri-food market and the level of food security set trends in the development of the reproduction process, and the conditions for the development of market relations, exports, imports and the current level of food security depend on the type of reproduction.

The purpose of the study. The purpose of the study is to determine the type of reproduction process in the current situation on the meat market to assess the level of food security in Russia for meat products and to develop recommendations for the development of the meat market and the reproduction process in agriculture.

Materials and methods. In this study, statistical methods were used to analyze reproduction and the situation on the meat market in terms of ensuring food security: descriptive statistics, comparative analysis, analysis of dynamic series. During the study, a method was used to determine the type of reproduction process, as well as a method for assessing the level of food security for meat products based on an assessment of supply and demand in the meat market. The data of official statistics at the federal and regional levels, as well as data from the reports of agricultural organizations, were used.

Results. The presented methodology made it possible to determine the type of meat reproduction in the country, to assess the level of self-sufficiency and food security. The analysis of meat reproduction showed an expanded type. The average annual increase in meat production in natural units is about 5,0% over the period 2000-2020. The assessment of the availability of meat of own production showed an increase in the availability throughout the analyzed period and in 2020 reached the level of 100,1%. A decrease in dependence on imports (up to 5,8 %) and an increase in the share of exports (up to 5,4%) showed an optimal or sufficient level of food security (meat). Conclusion. According to the results of the study, the following conclusions can be drawn: there is an expanded type of reproduction process in Russia; the growth of meat production contributes to the self-sufficiency of the population with meat; there is an increase in demand for meat products on the market, a decrease in imports and an increase in the level of food security of the country. Further increase in the level of food security is possible while maintaining an expanded type of reproduction process. This will allow us to constantly increase the volume of meat production and increase the volume of meat exports to other countries, including China. The provision of high-quality and affordable food to the population of the country contributes to the optimization of the social climate in society, which in modern times in stressful conditions (pandemics, closed borders, military operations, etc.) is mandatory to suppress and smooth out stressful, panic food purchases in the future. Ensuring an adequate level of food security is also paramount, since the state of socio- political and military security depends on its level.

The purpose of the study is to analyze the existing departmental statistical accounting of the Federal Penitentiary Service and to form approaches to its development in the context of modern transformations associated with the use of digital technologies.

Materials and methods: the peculiarities of the organization of the information resource and departmental statistical accounting of the Federal Penitentiary Service are analyzed, their shortcomings that prevent the integration of departmental statistics with other information resources of the department are identified, the main directions of digital transformation of departmental statistical accounting are highlighted, technological solutions for the implementation of the main processes are proposed, guidelines for the digital transformation of departmental statistics are formulated. In this paper, the author applied methods of theoretical study of control systems in the form of analysis and synthesis, modeling, empirical research - in the form of comparison and observation. Results. The transition of state bodies to the digital environment should include not only the automation of processes, but also the introduction of a process approach to management. End-to-end automation of work processes in the Federal Penitentiary Service is ensured by the introduction of a unified information system. The core task of the integration of information resources belongs to statistics, a data mart that is a supplier of open ordered data in the department and for interdepartmental exchange, will be formed on its basis. A necessary direction for the development of the established practice of collecting, processing and analyzing information is the use of its various sources for statistical purposes on the principles of their methodological and technological compatibility. The demand for statistical information will be the basis for the production of statistical products.

Conclusion. The material outlines the contours of a modern model of departmental statistical accounting, capable of adapting to the requirements of consumers. Accounting is based on the primary missing link, which creates the prerequisites for reliable statistics. This type of accounting is designed for solving management problems, creation of favorable conditions for all interested users to navigate in the digital space, to understand the logic of working with data and to use them in their daily practical activities.

One of the stages of the statistical study of the competitiveness of a region is the selection of competing regions.
Purpose of the study. The purpose of the article is to form a statistical set of regions-competitors based on the sectoral structure of the economy.
Materials and methods. As research methods in this article, the method of the main array, factorial, cluster methods, statistical methods are chosen. The statistical data of Rosstat were used for the study. To perform the calculations, the GVA was considered in the structure of Russian National Classifier of Types of Economic Activity2 for 2019. Results. With the help of factor analysis, 19 types of economic activity of the regions were grouped according to similarities and differences. As a result, six factors were formed, each of which collected dependent types of economic activity. The use of cluster analysis made it possible to form groups of regions with a similar sectoral structure of the economy. The study involved 85 regions of the Russian Federation. Cluster analysis made it possible to solve the methodological problem of determining the boundaries of GVA intervals for certain types of economic activity in the selection of competing regions.
The paper shows that for the Amur Region, nine regions of the Russian Federation should be considered as competing regions. The regions of this cluster are united by a high share of gross value added by the types of activity “Transportation and storage”, “Public administration”, “Trade”. At the same time, competitors are regions from different federal districts: 70% of the regions of the Far Eastern Federal District, 20% of the Southern Federal District, 10% of the Siberian Federal District. The main results of the study are the following: 1) a high variation of the regions of the Russian Federation in 2019 was revealed by the type of economic activity “Mining” and “Manufacturing”; 2) a grouping of 19 types of economic activity of the regions was carried out using the factor analysis method; 3) a cluster analysis of the regions of the Russian Federation was carried out according to the sectoral structure of gross value added for 2019; five clusters were received. Conclusion. This paper shows that the selection of competing regions must be carried out using the sectoral structure of the region’s economy. Consideration of the region’ specialization is an important requirement of the selection methodology. The advantage of the author’s methodology is its universality, objectivity and reflection of the specialization of the region. As a direction for further research, one should consider determining the specialization of regions using localization coefficients and, on its basis, the formation of a statistical set of competing regions. The presented sample of regions is necessary for assessing their competitiveness.

The purpose of the study is to develop an economic justification model for creating a value chain for various types of digital platforms and technological methods of production of a network enterprise. As a basis for creating an economic justification model, it is proposed to use the method of functional and cost assessment of the architecture of a network enterprise, which determines the economic costs and risks of forming value chains that are associated with the production and provision of services of the enterprise.

The novelty of the research lies in the fact that the economic justification for creating the architecture of a network enterprise should be carried out taking into account the dynamically changing needs of the customer and the state of the business ecosystem of the enterprise in the process of its functioning.

The research methods are heuristic in nature, aimed at finding such a set of economic factors that will lead to the formation of an economically sound construction of the value chain. In order to obtain an economic model for creating the architecture of a network enterprise, a method of functional and cost estimation in the process of dynamic changes in the value chain is proposed.

Results. This article presents an economic model for evaluating the architecture of a network enterprise, in which each element of the model is an economic aspect of the formation of value chains for a network enterprise. The analysis of economic aspects made it possible to determine in more detail the costs, including the costs of eliminating risks.

In addition to the economic justification model for creating a value chain, the paper identifies requirements for the architecture of a network enterprise and the possible composition of the roles of participants as well as the definition of network effects for different roles. In order to display the relationship between the type of digital platform and the technological method of production, when conducting a cost assessment of the architecture of a network enterprise, all calculated estimates are introduced into the cost and risk assessment matrix. As a result, depending on the chosen type of digital platform and technological method of production, the search for minimum costs and risks for a specific value chain is carried out.

Conclusion. The economic model of the cost assessment of the architecture of a network enterprise, made on the basis of the use of the method of functional-value cost analysis and risk analysis, will allow for resource justification of the configuration of value chains with an optimal distribution of roles of network enterprise participants.

Purpose of the study. The purpose of this study is to identify models and model parameters for modeling the demand for tourism services. The growing uncertainty in the tourism market requires a review of the decision-making process. A significant role in improving the quality of decisions is traditionally assigned to economic cybernetics, in particular its section – game theory. Within the framework of this article, many tasks are identified, the solution of which will contribute to a wider application of game modeling in conditions of heterogeneity of demand for tourist products.

Materials and methods. The solution of these tasks implies the choice of control parameters (the price of tourist products, the quality of tourist services provided, the number of tourists accepted, the number of rooms of various classes, etc.), taking into account the preferences of consumers in the tourist market for choosing a hotel category and accommodation class, loyalty to the pricing policy of hotels, etc., creating a variety of strategies of the player (hotel manager), creating multiple states of nature and meaningful interpretation of each state of nature in terms of the considered situation of the tourism industry,

a quantitative assessment of the usefulness of implementing each player’s strategy taking into account all possible states of nature, an assessment of the probability (possibility) of each state of nature and justification for choosing the level of confidence in the available information and the selection of the necessary criteria for the study of the constructed game model.

Results. A game model of choosing the optimal strategy for providing a tourist product is constructed, the distinctive feature of which is taking into account the preferences of consumers in the tourist market. The construction and analysis of a model for choosing the optimal strategy for providing a tourist product makes it possible to compare in a new way the various strategies of decision makers who form tourist

products, taking into account the existing probabilistic distribution of demand and consumer preferences.

Conclusion. Game modeling of situations in the market of tourist services can be supplemented by the use of multicriteria optimization methods. In the process of analyzing situations in the tourism market, it is necessary to pay more attention to the formation of a set of criteria, as well as obtaining additional information about the hierarchy of criteria.