Voprosy statistiki (Moscow, Russia : 1994)最新文献

{"title":"The Impact of Accounting Features of Certain Population Groups on Indicators of Age and Sex Structure of the Population of Municipalities of Russia","authors":"N. Mkrtchyan","doi":"10.34023/2313-6383-2022-29-1-28-43","DOIUrl":"https://doi.org/10.34023/2313-6383-2022-29-1-28-43","url":null,"abstract":"The article evaluates the influence of special populations (convicts sentenced to imprisonment, military and other numerical groups, statistical records of which are specific) on indicators of sex and age structure of the population of urban and municipal districts of Russia.The introductory part of the article considers the features of domestic demographic statistics in relation to the analyzed groups of the population, which emphasizes the relevance of the problem under consideration. Then, it describes the methodological foundations of the author's research. It is indicated that the analysis was carried out based on data from the 2010 All-Russia Population Census and information from territorial bodies of state statistics for 2019–2020 on the age and sex composition of the population, as well as data from open sources on the Internet.In the main body of the article, the author argues that the peculiarities of accounting for the population groups under consideration most strongly distort the data on the age and sex structure of the population in the youngest age groups, and their influence to the greatest extent affects the reliability of data on the population of municipalities with a small number of residents. In these municipalities, the share of special populations in the total population is the most significant and may exceed 10% of its total population (but even with a smaller share of the considered population group in the total population, the level of distortion of data by gender and age groups can be significant).Thus, the calculations show the scale of distortions (in the intercensal period) in the age structure of the population of municipalities in the young and middle age due to the specifics of accounting for the migration of these population groups.","PeriodicalId":85843,"journal":{"name":"Voprosy statistiki (Moscow, Russia : 1994)","volume":"9 1","pages":""},"PeriodicalIF":0.0,"publicationDate":"2022-02-28","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"77237850","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Implementation of National and Federal Projects for the Development of Russian Science: Statistical Analysis","authors":"N. Pashinceva","doi":"10.34023/2313-6383-2022-29-1-52-63","DOIUrl":"https://doi.org/10.34023/2313-6383-2022-29-1-52-63","url":null,"abstract":"","PeriodicalId":85843,"journal":{"name":"Voprosy statistiki (Moscow, Russia : 1994)","volume":"35 1","pages":""},"PeriodicalIF":0.0,"publicationDate":"2022-02-28","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"88120078","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Contemporary Statistical Studies of the Russian Population Welfare Level and Dynamics","authors":"Алексей Николаевич Пономаренко, Alexey N. Ponomarenko","doi":"10.34023/2313-6383-2022-29-1-64-77","DOIUrl":"https://doi.org/10.34023/2313-6383-2022-29-1-64-77","url":null,"abstract":"2020–2021 on statistical studies of the level and dynamics of the well-being of the Russian population. The author","PeriodicalId":85843,"journal":{"name":"Voprosy statistiki (Moscow, Russia : 1994)","volume":"41 1","pages":""},"PeriodicalIF":0.0,"publicationDate":"2022-02-28","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"79900633","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Enhancement of the System of Statistical Indicators for Assessing the State and Prospects of Development of the Stock Market","authors":"E. Dorokhov","doi":"10.34023/2313-6383-2022-29-1-17-27","DOIUrl":"https://doi.org/10.34023/2313-6383-2022-29-1-17-27","url":null,"abstract":"The article substantiates the need to improve the system of indicators that meet the requirements of market participants and potential investors in obtaining reliable and comprehensive statistical information on the state and development prospects of the Russian stock market (SM).The analysis of the current state of statistical monitoring of the Russian SM in terms of the misuse of insider information and manipulation of the financial market is carried out, statistical indicators for assessing stock assets and market indices are considered, and the main indicators of volatility and investment indicators related to the financial and economic characteristics of issuing companies are analyzed. According to the author, it is necessary to improve the quality of information on the value of stock assets and stock indices. To accomplish this task, it is proposed to use indicators that can adequately assess the current and forecast value of issuing companies and the degree of manipulation of their market quotations.The author proposes a method of calculating the investment indicator by dividing the price of the stock by its moving average profit for the previous time period equal to the economic cycle. Based on the factual material of the US and Russian stock markets, statistics of the values of this investment indicator, it is shown that it is possible to assess the adequate current and forecast value of stock assets, as well as the degree of their manipulation.The calculated investment indicator shows the adequacy of the market value of companies to their fundamental financial and economic characteristics. The volatility of this indicator for a short period of time is a signal of a possible manipulation with the prices of this stock asset. Therefore, this investment indicator can become an important supplement to the existing system of statistical indicators on the state and development of the Russian SM.","PeriodicalId":85843,"journal":{"name":"Voprosy statistiki (Moscow, Russia : 1994)","volume":"30 1","pages":""},"PeriodicalIF":0.0,"publicationDate":"2022-02-28","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"83350709","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Data Sources for CPI: Big Data of the Internet and the Systems of the Federal Tax Service of Russia","authors":"A. Kalinin, I. A. Volin","doi":"10.34023/2313-6383-2022-29-1-44-51","DOIUrl":"https://doi.org/10.34023/2313-6383-2022-29-1-44-51","url":null,"abstract":"","PeriodicalId":85843,"journal":{"name":"Voprosy statistiki (Moscow, Russia : 1994)","volume":"28 1","pages":""},"PeriodicalIF":0.0,"publicationDate":"2022-02-28","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"90678943","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"On the Origin and Development of the System of National Accounts","authors":"Y. Ivanov, B. Ryabushkin","doi":"10.34023/2313-6383-2021-28-6-79-89","DOIUrl":"https://doi.org/10.34023/2313-6383-2021-28-6-79-89","url":null,"abstract":"The article covers milestones of the system of national accounts (SNA) development. In particular, it is noted that the SNA was developed in response to the need of governments of the major market economies in macroeconomic statistics to guide decision-making for combatting the effects of the Great Economic Depression of 1929–1933. The authors address the SNA evolution in a context of the development of concepts, definitions, and classifications, furnishing the basis for a system of interrelated and mutually agreed measures of economic development at the macro level.Development of the SNA theory and methodology was closely linked with real change in a global economy, reflected the emergence of new forms of organization of economic process, new methods of financing investments, the growing role of foreign investments, globalization.The authors note a valuable contribution of a galaxy of eminent economists of the last century to the SNA theory and methodology elaboration. The article discusses at some length the role of international organizations in the development of theoretical and methodological foundations of the SNA. After the Second World War, these organizations released several critical documents with recommendations on the SNA compilation, recognized as international standards. The authors analyze the current international standard – the SNA 2008. In particular, the new treatment of expenditures on research and development and weapons systems. This treatment introduces a very noticeable adjustment in understanding important structural characteristics of the modern economy in many countries.The final part of the article considers issues of developing the SNA in national statistics, previously focused on the balance of the national economy (BNH). There are specific features of the transition from the world’s first developed system of interrelated macroeconomic indicators, the BNH, to the international standard, the SNA, adapted to modern realities of unctioning of market economy in Russia.","PeriodicalId":85843,"journal":{"name":"Voprosy statistiki (Moscow, Russia : 1994)","volume":"45 1","pages":""},"PeriodicalIF":0.0,"publicationDate":"2021-12-10","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"73997085","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Assessing the Impact of Country Risk on the Investment Attractiveness of Russian Companies","authors":"K. Polyakov, M. Polyakova, M. I. Vasilevskiy","doi":"10.34023/2313-6383-2021-28-6-30-42","DOIUrl":"https://doi.org/10.34023/2313-6383-2021-28-6-30-42","url":null,"abstract":"The ability to attract foreign direct investment (FDI) is a critical success factor for the development of any participant in the local market. One of the indicators that characterize the investment attractiveness is the economic value added (EVA). It reflects the market assessment of the company's profit potential. Some EVA assessment methodologies include the country risk assessment – a factor that is beyond control. This study analyzes the impact of this indicator on the investment attractiveness of an organization. The authors estimated the economic value added for some of the largest Russian companies using methodologies that take into account the country's risk level, as well as those methodologies that do not take it into account. The calculations used adjustments for EVA in line with specific features of Russian accounting. As a result, it was revealed that, regardless of industry affiliation, the investment attractiveness of Russian organizations decreases when the country's risk factor is included in its assessment.The article justifies the relevance of the developed approach to the assessment of investment attractiveness of companies based on country risk level as a factor that impacts the ability of organizations to generate profit, making it possible to detect hidden management problems. According to the authors, the application of this approach not only contributes to the solution of long-term and medium-term tasks of business development (for example, the creation of its infrastructure) but also greatly facilitates the entry of organizations into international markets.One of the authors' conclusions of the study is that using the methodological tools developed by them for analytical purposes requires improving the management of the investment attractiveness of an organization and, consequently, its objective assessment. The structure of economic value added can serve as a basis for making management decisions related to increasing investment attractiveness. According to the authors, the provisions formulated in the article can serve as a methodological guide for organizing business valuation based on the EVA in the Russian context. Results of the study can be of interest to managers, current owners of companies, and potential investors.","PeriodicalId":85843,"journal":{"name":"Voprosy statistiki (Moscow, Russia : 1994)","volume":"5 1","pages":""},"PeriodicalIF":0.0,"publicationDate":"2021-12-10","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"81361802","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Measuring the ICT Sector in the Digital Economy","authors":"A. Tatarinov, N. E. Ustinova","doi":"10.34023/2313-6383-2021-28-6-5-17","DOIUrl":"https://doi.org/10.34023/2313-6383-2021-28-6-5-17","url":null,"abstract":"The article addresses the problem of measuring the Information and Communication Technology (ICT) sector and its relationship to the digital economy as defined in the OECD «Guidelines for Supply-Use Tables for the Digital Economy». Analysis of various concepts of the digital economy shows that the ICT sector is its key element. It is stressed that, in line with the OECD recommendations, the measurement of the digital economy should be based on the SNA satellite account, the core element of which are the Digital Supply-Use Tables (Digital SUTs). This approach enables to reflect most fully within a single statistical model integration of all phases of digital products (goods and services) circulation in the national economy.It is noted that the construction of ICT Supply-Use Tables (SUTs) is a critical self-contained task, as it provides a measurement framework for both digital (regardless of the model to be adopted) and (more broadly) information economy.It is stressed that the ability to capture the use of ICT products as well as the cost of their production depends significantly on the identification and valuation of digital products and industries in the Digital SUTs. The identification of such industries is now a major challenge because of the lack of separate activities in the existing industrial classifications that are characteristic for their constituent units.The article concludes with a presentation of the pilot estimates of ICT Sector SUTs core indicators obtained by the authors at the Economic Statistics Centre of Excellence, HSE University. The contribution of the sector to the GDP of the Russian Federation is analysed and its inter-sectoral linkages, both on the demand and supply side, are assessed. It is concluded that the full implementation of the Digital SUTs depends on the inclusion in the new International Standard Industrial Classification (ISIC) the additions necessary to identify and evaluate digital products and industries.","PeriodicalId":85843,"journal":{"name":"Voprosy statistiki (Moscow, Russia : 1994)","volume":"29 1","pages":""},"PeriodicalIF":0.0,"publicationDate":"2021-12-10","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"75422057","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Investigation of the Relations Between Foreign Trade and Characteristics of Environmental Quality: Existing Approaches and Approbation of Gravity Modeling","authors":"A. Shved","doi":"10.34023/2313-6383-2021-28-6-69-78","DOIUrl":"https://doi.org/10.34023/2313-6383-2021-28-6-69-78","url":null,"abstract":"The purpose of this study is for the author to summarize approaches and methods for assessing availability, identifying forms and types of relations between characteristics of environmental quality and international trade, and also to test the gravity theory of trade as such a method (on the example of the Republic of Belarus).The author has investigated modern economic works devoted to the study of the influence of trade liberalization on environmental pollution, the pollution haven hypothesis, the environmental Kuznets curve, the Porter hypothesis, etc., as well as the studies aimed at confirming or refuting these hypotheses, has systematized modern approaches to assessing the relations between trade and environmental indicators.Based on the panel data for the period from 1995 to 2019, the author has constructed the gravity models of trade (separately for export and import) of the Republic of Belarus with the EAEU partner countries and neighboring countries (Lithuania, Latvia, Poland, Ukraine), taking into account the environmental impact (the carbon dioxide emissions as the proxy variable of pollution). The simulation results have confirmed the theoretical provisions of the gravity theory. In addition, a significant effect of an increase in carbon dioxide emissions of countries – trade partners of the Republic of Belarus on its imports has been revealed.","PeriodicalId":85843,"journal":{"name":"Voprosy statistiki (Moscow, Russia : 1994)","volume":"45 1","pages":""},"PeriodicalIF":0.0,"publicationDate":"2021-12-10","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"83496959","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Features of the Formation of Technological Expectations in Russia: Analysis of the Results of Business Tendency Surveys of Digital Transformation of Manufacturing Enterprises","authors":"I. Lola, A. Manukov, M. Bakeev","doi":"10.34023/2313-6383-2021-28-6-43-58","DOIUrl":"https://doi.org/10.34023/2313-6383-2021-28-6-43-58","url":null,"abstract":"The purpose of the article is to analyze the technological expectations of managers of Russian enterprises from the manufacturing industry in the face of changes in the external economic environment. Firstly, the authors have calculated a specially developed «index of fulfillment» of technological expectations, reflecting the ratio of the expectations of the introduction of digital technologies formed in the previous period and an increase in the real level of implementation. Secondly, using regression analysis, the authors investigated the mechanisms of the formation of technological expectations of managers in various conditions: non-crisis 2018, pre-crisis 2019, and crisis 2020. The influence of the three mechanisms was tested in intertemporal context: the «inertial» one, which presupposes the preservation of the expectations formed in the past in the current period; «adaptive» which involves adjusting expectations in accordance with the current dynamics of technology implementation; «predictive» which implies the connection of expectations with the future level of implementation.The basis for empirical calculations was the data of annual business tendency surveys of digital activity of Russian manufacturing enterprises for 2018–2020. The aggregate sample of surveyed enterprises for three years included more than 3000 enterprises from 23 manufacturing industries. The paper studied patterns of implementation of 19 digital technologies, most of which, according to specialists, belong to Industry 4.0.The results obtained indicate that technological expectations are characterized by great heterogeneity in terms of feasibility. Regression analysis showed that all three identified mechanisms can play a role, but their influence varies. In particular, when a crisis occurs, the adaptive mechanism plays a key role, and the inertial mechanism becomes irrelevant.The results of this study indicate that Russia is characterized by the initial and transitional nature of digital transformation in the manufacturing industry, with technological development achieved through «breakthroughs» rather than a steady process of modernization. The main conclusion of the work is that external uncertainty greatly affects the evolution of technological expectations, destroying their continuity from previous plans and negatively affecting the predictive capabilities.","PeriodicalId":85843,"journal":{"name":"Voprosy statistiki (Moscow, Russia : 1994)","volume":"24 1","pages":""},"PeriodicalIF":0.0,"publicationDate":"2021-12-10","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"73652377","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}