With the exhaustion of extensive factors, the quality of economic growth becomes the most important criterion and a condition for the consistent furthering economic development and social progress in Russia. The diversity and multidimensional nature of the quality of growth implies the need to consider it from different perspectives: both as a result of a target development directions and as a prerequisite for current and future progress. At the same time, individual characteristics, included in the expanded concept of quality of growth as an essential element of sustainable development, are competitive, for example, inclusive development and growth dynamics. This study addresses characteristics of the quality of economic growth, mainly from its macroeconomic perspective: stability, efficiency, flexibility, progressiveness, social orientation, reducing differentiation. The author analyzed those characteristic-based indicators, and factors aimed at achieving those socio-economic goals. It is considered how these characteristics evolved at individual stages of economic development. Based on statistical calculations, it is concluded that there has been a slowdown in the quality of growth since the 2009 crisis, in contrast to the previous decade. The author indicates the factors of economic growth and improvement of its quality in the medium term, as well as the possibility of combining the requirements of inclusive growth and accelerating economic development.

The article presents and discusses the results of the research regarding the identification of the user groups of financial statements (internal and/or external). Possible misstatements of financial reporting are aimed at developing the ≪desired≫ behavior of these groups. The authors introduced the following theoretical, methodological, instrumental and informational constraints of the carried-out experiment: financial reporting was postulated as an open system of economic measurement; accounting ≪paradoxes≫, formulated and considered by Sokolov Ya.V., were used as the theoretical basis of the a priori probability of existence of inaccurate accounting data in the information space; the formation of learning samples and the general population was carried based on the reporting data on certain business activities. Concurrent fulfillment of these conditions ensured the correct application of the central limit theorem, resulting in a valid statistical conclusion. The ≪paradoxes≫ were divided into complementary pairs with their subsequent formalization through the relevant financial ratios. Actual series of the financial ratios’ distribution were compiled based on the existent populations. The significance of deviation of the obtained series from the normal probability distribution (Gaussian distribution) was estimated. The multimodality of series of the financial ratios distribution was identified and estimated, suggesting the possibility of the existence of intentional, systematic registration errors, and, as a result, presumable manipulation in accounting (financial) reporting. It was found that some economic entities knowingly tamper with financial results, effectively aggravating the ≪paradoxical≫ state. The directions of probable manipulation were revealed, making it possible to define the user groups, whose professional judgment and decisions are affected by the presumed misstatements. The SKRIN database (financial and accounting reporting of 10.0 thousand of food and beverage manufacturers) and government statistics were used as a basis for research; calculations were made using Statistica12 software.

The article presents an overview of the labour market in the Republic of Belarus, taking into account the gender factor. Indeed, the labour market of any state has a certain level of gender segregation and to reliably assess this phenomenon, first of all, it is necessary to develop a better understanding of the emerging patterns and trends in the dynamics of the core statistical indicators, and of what processes reduce or fuel gender asymmetry. The author carried out a statistical study on the wage levels of employed in the economy of the Republic of Belarus, and a comparative analysis of its average values for men and women. Despite the fact that the right to work and equal remuneration for men and women are enshrined in law, the problem of gender segregation in the labour market remains relevant. The effective solution of issues of gender inequality is impossible without taking into account the existing gender issues in the country and the main trends reflected in statistical indicators. The author applies statistical methodology of socio-economic analysis to show manifestations of gender inequality in its various forms, for example, hiring discrimination against women, gender pay gap, gender asymmetry in the distribution of workers between economic sectors and activities. Methods of variance analysis serve as a basis to study the relationship between the type of economic activity which employs Belarusian men and women and the level of average wages. Objective statistics suggests that the differences between men and women are often due not so much to biological factors as to social conditions (demands and development of culture, norms of society, etc.). Disclosing wage problems with statistical means, the author argues that gender equality acts not only as a goal but also as an essential means of achieving sustainable development, which is impossible without modernizing existing political and socio-economic mechanisms.

This article provides a comprehensive assessment of the natural resource potential of the Krasnoyarsk Territory, the Republics of Khakassia and Tuva as part of implementing the «Yenisei Siberia» project. In the introductory section of the article, the authors set out the goals and objectives of the study of the quantitative and qualitative characteristics of the socio-economic potential of the Krasnoyarsk Territory, Republic of Khakassia, Republic of Tuva and examine the role of implementing particularly important Yenisei Siberia investment projects in the economic development of the territories. The body of the article starts with the overall review in the form of economic and statistical analysis of the socio-economic conditions in the regions examined. It is followed by an attempt at a statistical measurement of the influence of particularly important investment projects («Southern Cluster», «Construction of the railway Elegest - Kyzyl - Kuragino», «Construction of the timber processing complex in the Boguchansky district of the Krasnoyarsk Territory» and «Agro-industrial Park «Siberia») on a summarizing indicator of the economic activity of the regions - gross regional product (GRP). The investment projects were examined using open data sources and official statistical information. By comparing the available information from various sources, the authors assessed the adequacy of the obtained results to the current situation and challenges of the new economy.

The article deals with challenges and prospects of implementation of the Statistical Data and Metadata eXchange (SDMX) standard and using it in the international sharing of statistical data and metadata. The authors identified potential areas where this standard can be used, described a mechanism for data and metadata sharing according to SDMX standard. Major issues classified into three groups - general, statistical, information technology - were outlined by applying both domestic and foreign experience of implementation of the standard. These issues may arise at the national level (if the standard is implemented domestically), at the international level (when the standard is applied by international organizations), and at the national-international level (if the information is exchanged between national statistical data providers and international organizations). General issues arise at the regulatory level and are associated with establishing boundaries of responsibility of counterpart organizations at all three levels of interaction, as well as in terms of increasing the capacity to apply the SDMX standard. Issues of statistical nature are most often encountered due to the sharing of large amounts of data and metadata related to various thematic areas of statistics; there should be a unified structure of data and metadata generation and transmission. With the development of information sharing, arise challenges and issues associated with continuous monitoring and expanding SDMX code lists. At the same time, there is a lack of a universal data structure at the international level and, as a result, it is difficult to understand and apply at the national level the existing data structures developed by international organizations. Challenges of information technology are related to creating an IT infrastructure for data and metadata sharing using the SDMX standard. The IT infrastructure (depending on the participant status) includes the following elements: tools for the receiving organizations, tools for sending organization and the infrastructure for the IT professionals. For each of the outlined issues, the authors formulated some practical recommendations based on the complexity principle as applied to the implementation of the international SDMX standard for the exchange of data and metadata.