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Subject. Increasing the productivity of each academic staff member is an important condition for the achievement of high indicators by the university. The modern system of the effective contract in Russian higher education institutions provides great growth opportunities which need to be identified by analysts. Appropriate analysis methods are needed to secure a rational use of these opportunities. Objectives. Our goal was to find the best option for using the non-parametric method of Data Envelopment Analysis to solve the task related to the assessment of the productivity of each academic staff member at a middle-size university. Methodology. We used single-stage DEA models with constant and variable returns to scale, including non-discretionary outputs. The choice of a specific model was based on both quantitative and content interpretation of the obtained results. Results. It was established that R.D. Banker and R.C. Morey’s model can properly measure the productivity of academic staff and provide the university management with valuable information which can be used to efficiently manage the productivity of the employees. We identified the most probable difficulties regarding the application of similar models to a large sample of employees under real conditions. We obtained data on the productivity distribution and the dependence of productivity on occupation, which require further analysis. Conclusions. The basic single-stage DEA models are sufficient to measure the productivity of employees if non-discretionary outputs are carefully introduced and the solution's sustainability is controlled. However, the features characteristic of all DEA models cannot be ignored: they set achievable goals to improve the existing results, however they do not search new opportunities; they inform that the goals are achieved but not how significant the achieved results are for the university.

Economic analysis, including its methodological tools, is necessary for organisations of various fields of activity and forms of ownership. A wide range of analytical techniques, the universality of their application and other economic sciences and modern management practice also contributes to the active interpenetration and differentiation of analysis. of the object’s economy, becomes a methodological basis for various types of control, and applying its methodology in a control measure turns it into a control-analytical procedure. We based our research on the study of economic literature concerning theoretical provisions and applied developments in the field of economic analysis and control of the activities of public medical organisations. We used methods of generalisation, systematisation, grouping, methods of economic analysis in the research process. The result of the study was a set of the following conclusions and results: Identification of new types of economic analysis generates new types of analytical work, including economic analysis in the control.Based on the general methodological basis of economic analysis and control, together with the universality of the methodological apparatus of economic analysis, the authors developed a typical structure of the control methodology.We considered analytical procedures in the implementation of control as the content of the partial fulfilment of the control procedure of the methodology of the object of control.Control and analysis depend on the time of their conduct, but with a similar essential characteristic, their volume and depth of conduct are different.The implemented digitalisation tools will significantly increase the scope of applying control-analytical procedures.

Subject. The article addresses the economic analysis as a separate field of science and practice. During its development, it has been updated for new subjects, objects, areas, interests, thereby expanding the directions of its application. Objectives. The aim of the study is to apply the methods of economic analysis in the implementation of financial control measures in relation to public medical organizations. Methods. The study rests on a bibliographic study of current scientific and periodical economic literature. We also apply methods of scientific cognition, like dialectical method, analysis and synthesis, detailing, observation, generalization, comparison, classification, etc. Results. The paper states the interdisciplinarity of economic analysis and control. Analytical procedures belong both to control measures and to analytical work in general. Methods of economic analysis are the tools of financial control. Conclusions. Analytical procedures are specific actions of the controller that are based on methods of economic analysis, with the help of which the objectives of control measures will be achieved.

Testing an adaptive modification of the portfolio analysis model with a two-level mechanism of return generation is used to identify the temporal structure of efficient frontiers. The stock market is volatile and, although it is consolidated, it follows different trends at different times. Therefore, stock market processes are viewed as multitrend in nature. It particularly applies to the process of generating returns. For the convenience of the analysis, a multitrend process can be presented as a finite decomposition using adaptation principles. As we have already said, adaptive mechanisms are an important factor for the effectiveness of the stock market. Considering these requirements, the most suitable method is adaptive trend decomposition. In our study, we used data analysis and machine learning methods. The article presents a method of portfolio analysis based on the decomposition of efficient sets into temporal components. This allows for a comparative analysis of portfolio sets regarding their efficiency over different time intervals and enables a dynamic analysis of the temporal structure of efficient sets in order to determine the optimal time for holding the portfolio or changing its structure. A family of efficient sets provides a better understanding of investment opportunities. Our calculations also demonstrated that the temporal structure of a family of efficient sets is more likely to remain robust during the prediction period.

The article presents the results of the study conducted by the authors on the assessment of the progress of the corporate social responsibility of Russian companies in various industries on the basis of public information. The authors have developed a method of rapid assessment of the progress of corporate social responsibility, distinguished by the composition of indicators presented in public nonfinancial reporting, harmonized with the requirements of Global Reporting Initiative (including GRI G4 and GRI Standards) and available for calculation and interpretation by a wide range of stakeholders, which allows conducting a review diagnostics of the dynamics of responsible practices and comparative analysis of companies.

With all the regional features, it is possible to identify the main patterns that, in the authors’ opinion, were manifested in the Voronezh Region, which is a typical region of the Central Federal District. The data for 2010-2018 of the Federal State Statistics Service (Rosstat) were used as an information base to conduct the analysis. The research algorithm was presented by the following steps: application of the PEST analysis at the regional level, application of the SPACE analysis at the regional level, development of the authors’ methodology for integrating the results of SPACE and PEST analyses at the regional level. Based on the research results, an expert assessment was performed with respect to the aspects that reflected the region's potential, namely, social, economic, political, and technological. The use of methodology for integrating the results of SPACE and PEST analyses allowed combining and forming a track of the strategic state of the social and labor sphere of the Voronezh Region, reflecting the vector of its change.

Introduction. The academic discussion dedicated to the specific features of financial crises is focused on the analysis of historical volatility patterns. Most researchers point out that strong long-term fluctuations on stock markets are typical for financial crises. Similar reactions to economic crises can be found throughout financial history. Both academic communities and stock markets participants are interested in the search for driving forces that stimulate such kind of behaviour. Purpose. Studying the influence of the scale of national stock markets and various economic crises on the risk level of operations with financial instruments. Methods. Latent modes were identified using Markov switching models. The determination of latent market states was based on the ratio of the components of financial turbulence that characterise the isolated changes in correlated risks and volatility. The influence of the scale of stock markets on the profitability and risk of operations with financial instruments was assessed using the vector autoregression model. Results. The influence of economic crises on the quantitative characters of the excess returns of the world’s largest stock markets was assessed using two-mode Markov switching models and revealed significant differences in the behaviour of stock markets at different time intervals. It was established that the high volatility regime dominates the market during the periods accompanied by economic crises. Through the combination of typical and atypical values of the financial turbulence components we identified four latent market states that provide additional information on the further changes in the current market regimes or lack thereof. Unilateral causal connections are typical for markets with high capitalisation. Markets adapt to the USA market shocks almost twice as slower as compared to the shocks of developing markets. Conclusions. The identified dependences allow increasing the explanatory and prognostic potential of statistical risk analysis in national stock markets.

Предмет. Феномен цифровых финансовых активов является сравнительно новым. В их структуре все большую долю занимают виртуальные валюты, в частности, криптовалюты. Интерес к ним со стороны регуляторов и представителей финансовой индустрии неуклонно растет. Отсутствие у криптовалюты внутренней стоимости мотивирует проведение академических исследований проблем ценообразования и управления риском операций с криптовалютами. Большинство известных работ носят фрагментарный характер и оставляют нерешенными значительную часть вопросов принципиального характера. Цель. Разработка методологии статистического анализа риска операций с цифровыми финансовыми активами на примере криптовалют. Метод. В исследовании использовались параметрические методы анализа данных и машинного обучения, методы описания, анализа и синтеза, индукции и дедукции, а также сравнения и группировок. Выборочная совокупность охватывает период с апреля 2013 года по апрель 2021 года и включает криптовалюты с рыночной капитализацией, превышающей 1 млн. долларов. Результаты. Выявлены общие для инструментов рынка криптовалют факторы риска в виде линейных комбинаций доходностей подмножеств криптовалют с динамически изменяющимися весовыми коэффициентами. Формирование факторов риска производилось на основе только рыночной информации, включающей цену криптовалюты, объем торгов и ее рыночную капитализацию. Выводы. Получены свидетельства того, рынок криптовалют подвержен влиянию ценовых аномалий, встречающиеся на рынках традиционных финансовых инструментов. В дополнение к факторам риска, сформированным по рыночной капитализации криптовалют (размер) и их накопленной доходности (моментум), впервые представлены статистически значимые факторы риска, отражающие темп роста рыночной капитализации криптовалют, а также уровень их неликвидности. С целью объяснения ценовых аномалий и арбитражных стратегий на их основе в работе представлены варианты факторных спецификаций моделей ценообразования криптовалюты, которые могут быть положены в основу формирования целостного представления о рисках операций с цифровыми финансовыми активами.

The article is devoted to research into retention strategies with a focus on young professionals working in the global labor market. Elements of statistical and economic analysis were used for further development of a Russian problem-solving model to be employed in this sphere. The lack of qualified specialists typical of European countries is becoming increasingly relevant in the Russian labor market. Russian employers have accumulated certain experience of retaining young talent in nationally oriented organizations, but as far as overseas expansion of business is concerned, the same aspect has been explored to a lesser degree. The research base insufficient for making statistical conclusions about the scale of this phenomenon and distribution groups of its manifestations hampers diagnostics and prevention of corresponding problems. The article substantiates the viability of international experience of researching risks involved in HR management and sets out groups of primary and secondary sources of HR risks. The nature of HR management problems in the context of the global labor market is also explained in the article. Scientific theories concerning young talent motivation are structured according to staffing policies: ethnocentric, polycentric, regiocentric and geocentric. The authors have identified specific features of scientific ideas of the values and behavior patterns preferred by young professionals, which can help to develop corresponding retention strategies.

The paper discusses the types and methods of control measures and their implementation by individual authorities at the federal and regional levels, as part of the implementation of the National Healthcare project. This study aims to develop measures to control the implementation of the National Project at all stages. The features of monitoring the implementation of the National Project in the Electronic Budget system are examined. The requirements established by regulatory legal acts to assess the effectiveness and efficiency of using inter-budget transfers are analyzed. Based on the study results, the authors formulated proposals for the implementation of preliminary, current, and subsequent financial control. It is concluded that it is necessary to conduct field monitoring activities to check for compliance with the data entered in the Electronic Budget system and strengthen the direction of preventive component.

Предмет. Будучи одним из важнейших источников финансирования государственного бюджета, алкогольная отрасль представляет особый интерес как объект для экономического анализа. Любое вмешательство в ее деятельность имеет вполне очевидные краткосрочные эффекты и, как правило, менее предсказуемые долгосрочные последствия, которые могут оказать пагубное воздействие на социально-экономическое развитие государства. Цели. Статистический анализ динамики, структуры и тенденций развития алкогольной отрасли РФ и выявление факторов, оказывающих влияние на деятельность организаций алкогольной отрасли в условиях кризиса. Метод. В процессе исследования использовались параметрические методы анализа данных и машинного обучения, метод описания, анализа и синтеза, метод изучения документов и результатов деятельности. Результаты. В исследуемом периоде в значительной степени усилился контроль государства над сферой производства, хранения, поставок алкогольной продукции, что в определенной степени соответствует глобальной политике количественного ограничения и повышения качества (культуры) потребления алкогольной продукции. Обнаружены признаки перехода от модели потребления «северного типа» к «центрально-европейской». Выявлены тенденции в динамике объемов промышленного производства и розничных продаж алкогольной продукции, особое внимание уделено оценке структурных сдвигов в период активной фазы антиалкогольной реформы. Изменения в акцизной политике государства привели к увеличению нагрузки на производителей и товаропроводящую инфраструктуру. Спад в производстве и потреблении наблюдался практически по всем укрупненным группам алкогольной продукции. Установлено, что реализуемая акцизная политика в разной степени влияет на объем производства и розничных продаж укрупненных групп алкогольной продукции. Наиболее чувствительна к изменению акцизов крепкая алкогольная продукция, наименее чувствительна – винодельческая, производство которой в период рецессии только набрало обороты. Очевидно существование рисков, порождаемых агрессивной акцизной политикой и политикой лимитирования цен, которые могут привести к дестабилизации рынка и отрасли, а также вытеснению капитала в теневой сектор.

The purpose of the paper is an assessment of developmental prospects and problems of the digital economy in terms of countries stratification by the performances of global competitiveness. Methodology. We employed the trend data provided by the World Economic Forum organization on the competitiveness of countries by global competitiveness performance. We used cluster analysis to unite countries into homogeneous groups. Clusters are built on annual data for 2014–2017. In the composition of global competitiveness indices, we highlighted the most significant for the development of the digital economy (infrastructure, quality of institutions, higher education and professional training, level of technological development, innovation capacity). Results. The classification of countries showed that five clusters with much different global competitiveness performances were revealed. The most developed and least developed cluster have a sustainable composition. The group of leaders and subleaders currently include 56 countries. Three clusters are continuously changing their composition while maintaining a low level of competitiveness parameters that do not allow the systematic development of the digital economy. Recommendations. The differences revealed between groups of countries determine the need for the establishment of transition modules that ensure their convergence in terms of global competitiveness performances. Moreover, both underdeveloped and the most competitive countries need it. Leveling-off institutional development, education, and innovation are the most important.

Purpose Classification of changes in socio-economic systems, determination of reasons and the role of systems’ inertia in formation of their changes’ vectors. Discussion Changes that emerge in the system can be classified in a different way. The approach to classification depends on the objective qualities of the system and the observer’s position, the role of which was studied in the previous chapter. Diversity of opinions leads to potentially unlimited number of classification features. In this work, the most general features are offered—in most cases, they are sufficient for practical actions for management of changes.Result The authors offer the features of classification that characterize socio-economic systems from various points of view. They include the following: public dominant, level of system, character, forms, results of changes and other attributes. The role of inertia in supporting the intra-system balance, expedient direction, and speed of changes is substantiated.

Purpose Studying the national peculiarities of working with refugees and economic migrants, applied measures of restoration of labor market and its protection from undesired tendencies, related to refugees, and use of realia of global movements in transformation of educational services market. Discussion Evolution of working with people in organizations, including professional and higher school, shows transformation of its tasks and related content every decade. The logical chain of periods—“administration”, “establishment”, “humanization”, “economizing”, “restructuring”, “innovativeness”, and “partnership in business” is characterized by expansion and deepening of the game method of personnel work, limited by a set of multicircuit framework factors. The object of scientific study is experience of the EU countries in managing the adaptation of labor and educational services markets in the conditions of globalization and transborder movement of able-bodied population. Results The research showed that substantial circumstances that transform the activities of educational establishments are formed at three levels: state, organizational, and personal (individual). Taking these circumstances into accounts allows adapting to changes, substantiating them from the positions of economic analysis, and including them into the new form of management.

The article is devoted to the issues of modernization of personnel management from the standpoint of the results of the statistical analysis of its framework conditions, studied as social and mass phenomena. Terms of implementation of work with the staff received extensive coverage in the scientific literature, profile-oriented to management, economics, sociology, psychology and law. Insufficient research base for statistical conclusions on the scale of phenomena, their groupings, and dynamics makes it difficult to work on timely diagnosis of the real model of personnel management and the formation of a vector of its modernization. The article systematizes the concept of the components of the two-contour framework, which defines the playing space of work with personnel, shows the classifications of the working age, family models, systematizes the scientific concepts of generations and the dynamics of value systems. Grounds for modernizing the practice of personnel management in organizations are justified. The methods of statistical analysis are given: observation, groupings, and classifications.