In modern conditions, issues of ensuring the economic security are becoming increasingly relevant and should be studied using an integrated approach. The purpose of the study is to substantiate a methodological approach to determining the comparability of regions for the purpose of assessing their economic security. It is especially noted that the proposed methodology should be used in conjunction with existing assessment tools and can be applied to find new management solutions in matters of ensuring the economic security of regions.

Currently, economics has a large number of complex models for assessing the financial condition of enterprises. The greatest contribution to this area was made by domestic and foreign scientists who studied crisis management. It is in the field of crisis management that you can find a lot of methods for researching an enterprise for future possible insolvency. The essence of each of them is the same – to analyze the behavior of the enterprise for a certain period using data from the presented accounting statements for calculations; in other words, it means to conduct an audit to identify possible cases of the company's inability to pay off its obligations. For such verification, enterprise insolvency analysis models are used. In economics, the concept of "insolvency of an enterprise" is interpreted in different ways, sometimes it is even identified with the similar term "bankruptcy", which is partly a mistake. The category "bankrupt" can be assigned after the necessary audit upon application from the creditor or debtor to the arbitration court regulating such a procedure in accordance with Federal Law No. 127-FZ "On Insolvency (Bankruptcy)". In this article, the techniques that have gained the most popularity will be considered. With their help, the financial condition of the agricultural sector was studied on the example of one of the leading enterprises of the Samara region, which is located in the zone of risky agriculture. The main activity of the analyzed enterprise is crop production. The analysis shows what is the probability of possible insolvency of the enterprise under study and what can lead to it. As conclusions, recommendations for improving the indicators of financial and economic activity of an agricultural enterprise are considered, and the reliability of the applied methods for analyzing and predicting the probability of bankruptcy is confirmed.

The relevance of the research topic is determined by the need to develop universal approaches to managing economic security at the regional level. The problem of the study lies in the lack of proven and universal solutions for establishing all parts of the economic security management system of the region, and therefore effectively functioning economic security management systems of the region are not widespread. The work is aimed at substantiating the image of the economic security management system of the region and its composition, structure and interaction of its constituent elements. As a result of the research, the authors proposed their own interpretation of the concept of the economic security management system of the region and justified the key links of this system. It is proved that the economic security management system of the region will be effective if it includes regulatory and legal support, monitoring procedures, strategic analysis and goal setting, decision-making process in the field of economic security, a set of economic security management bodies as part of coordinating and methodological bodies, as well as a mechanism for public control over the achievement of goals and objectives of regional economic security. It is proposed to create a system of economic security in the region, not obeying the classical sectoral principles of building regional management systems, but putting the priority of economic security at the forefront as a self-reproducing mechanism for creating the most favorable conditions for the development of society and regional economy.

The coal industry is one of the most important sectors of both the fuel and energy complex in particular and the industrial complex of the state as a whole. The article proposes a method for assessing the effectiveness of the development of the coal industry, consisting of the following stages: selection of statistical indicators, standardization of indicators, calculation of indicator accelerations, ranking of indicators, creation of a reference model of industry development, construction of actual ranking series, calculation of rank correlation coefficients and performance assessments. An assessment was made of the effectiveness of the development of the coal industry of the Russian Federation in the period from 2019 to 2022, and the reasons for the occurrence of the obtained assessments were analyzed.

The article provides an economic and statistical analysis of the wholesale market of industrial equipment in the Russian Federation and the Samara region. Statistical indicators reflecting market dynamics have been determined. The possibility of applicability of economic and statistical methods to economic indicators of the market, such as statistical grouping, correlation and regression analysis, methods of nonparametric statistics, methods of analysis and modeling of time series, is substantiated. A comparative assessment of the dynamics of wholesale trade turnover in Russia and the Samara region was carried out using the method of comparative analysis, using relative values – lead coefficients. The forecast of the turnover indicators of wholesale trade in industrial equipment of the Russian Federation and the Samara region has been made.

The article is devoted to the analysis of scientific and technological development in the regional aspect. The relevance of the research topic is determined by the tightening of sanctions applied by unfriendly countries, especially in the field of technological development, which creates the need to find new ways to develop innovations and ensure technological independence. The scientific problem facing researchers is the need for a systematic approach to the analysis of scientific and technological development of the macroterritory in order to identify the main factors that can become an obstacle to innovative progress. Methodologically, the study is based on a systematic approach to the analysis and assessment of scientific and technological development of regions, using methods of economic analysis, including comparative analysis and generalization. The authors of the article analyzed the current state and identified the main factors hindering the development of innovations. A conceptual model of scientific and technological development of the regions has been developed, which includes the subjects of regional innovation activity and key areas for increasing regional innovation activity. Based on the developed model, a set of measures aimed at stimulating innovative activity in the Ural economic region is presented. The proposed measures are aimed at improving the innovation environment in the region and contributing to scientific and technological development.

The use of government measures to hold back the pandemic requires effective solution of operational and strategic planning tasks and coverage of the entire population of the country without exception. This study aims to identify the interrelationships between the indicators of the epidemic process and the indicators of the state's response to hold back the COVID-19 pandemic. A sequence of anti-epidemic measures has been identified that contributes to reducing the incidence of the population and increasing the economic potential of the country. The study was carried out on the example of Russia. Weekly statistical data for the period from January to December 2020 were used on indicators characterizing the development of the COVID-19 epidemic process and the implementation of state anti–epidemic measures (source - Oxford COVID-19 Government Response Tracker). A dynamic Bayesian network is constructed. When training the network, the algorithm "a variation on Ghada Trabelsi's dynamic max-min hill climbing" was used. The calculations were performed using the dbnR library of the R programming language. The following types of relationships have been identified between indicators of the development of the COVID-19 epidemic process and government measures to contain the pandemic: 1) short-term; 2) long-term; 3) self-influence. State anti-epidemic measures form a complex dynamic structure that determines the patterns of their impact on curbing the increase in the incidence of COVID-19 in the Russian population. The epidemic process is characterized by a memory effect: changes in the morbidity and mortality of the population at the current moment will cause changes in the indicators of this process in the future. Effective implementation of state anti-epidemic measures helps to reduce the increase in morbidity and mortality from COVID-19. At the same time, it is necessary to observe a strict sequence of anti–epidemic measures: start with the implementation of measures in the field of healthcare, then gradually connect restrictive state measures, then - measures of state economic support for the population. Special attention should be paid to the implementation of two types of activities: 1) restrictions on holding meetings; 2) economic support for the population, as they are significantly influenced by various factors. At the same time, the restriction on the movement of public transport does not have a significant impact on the morbidity and mortality of the population from COVID-19.

The article is devoted to the study of the role of the innovative component of human capital on a global scale. The study highlights not only the impact of professional skills, but also the importance of material aspects for stimulating innovation activity. The complexity of measuring human capital is emphasized due to its multi-layered nature. The author focuses on the importance of deep knowledge, extensive experience, professional skills and active participation for effective management of innovation processes. Various methodological and conceptual approaches to the assessment of innovation potential are considered, special attention is paid to its structural components and determinants, which determine the ability of an organization to introduce new products, technologies and solutions. The importance of adaptability and flexibility in the process of innovation management is emphasized, since the modern business environment is characterized by rapid changes and uncertainty.