Review of Economics and Statistics最新文献

{"title":"Frontmatter","authors":"","doi":"10.1515/roe-2022-frontmatter1","DOIUrl":"https://doi.org/10.1515/roe-2022-frontmatter1","url":null,"abstract":"","PeriodicalId":48456,"journal":{"name":"Review of Economics and Statistics","volume":"18 1","pages":""},"PeriodicalIF":8.0,"publicationDate":"2022-04-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"77319419","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":1,"RegionCategory":"经济学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Cognitive Modeling of the Impact of Funding to Educational Institutions on the Innovative Activity of Organizations","authors":"A. A. Bryzgalov","doi":"10.21686/2500-3925-2022-1-62-68","DOIUrl":"https://doi.org/10.21686/2500-3925-2022-1-62-68","url":null,"abstract":"The purpose of research is to design a cognitive model for determining the degree of influence of targeted funding in educational programs on the innovative activity of an enterprise in different business conditions. As a tool for cognitive modeling, it is proposed to use the tools for constructing a cognitive map that allows analyzing different options of financing scenarios, which are alternatives to impulse modeling in the form of financing in a certain set of factors by introducing perturbations to the vertices of the cognitive map. The main reason for the study is that when creating new products or services for an organization, it is important to constantly increase their market share based on changes in the strategy of innovative activity of the enterprise, which is largely determined by the level of qualification of the workforce. The novelty of the research lies in the use of tools for constructing and using a cognitive map to solve the problem of substantiating the most preferred variant of a set of initial factors to achieve the required maximum values of the target indicators.The research methods are heuristic in nature, aimed at finding such a set of factors that will lead to a given change in the target factor. In order to obtain the final result of changing the target factor, impulse modeling is used, which is carried out by introducing influences into the selected set of vertices of the cognitive map, and in order to find the best set, scenario modeling is used aimed at forming various alternatives. The proposed materials and methods of cognitive modeling are based on the cognitive map, presented in the work of R.Karaev and others [4].Results. This article shows how organizations develop their innovative activities in production processes. This development process is associated with the interaction of enterprises and educational institutions, which is expressed in the joint training of specialists in the required field. To display the interrelation of factors influencing innovation activity in production processes, a model is proposed, which is reflected in the cognitive map of enterprise strategy management expanded by the author. As a result of cognitive modeling according to certain scenarios, recommendations are formed for decision makers on the choice of an innovative development strategy of an enterprise aimed at increasing the company’s market share.Conclusion. The conducted modeling and analysis of the results confirm that innovative activity allows to increase the market share and reduce the price of the company’s products due to investments in educational institutions. In addition to the required changes in the target factors, the proposed funding has a positive effect on other factors reflected in the cognitive map. As a result, the constructed cognitive map can reveal the factors determining the need for investment in educational institutions by organizations, which will increase their innovative activity and economic e","PeriodicalId":48456,"journal":{"name":"Review of Economics and Statistics","volume":"53 3","pages":""},"PeriodicalIF":8.0,"publicationDate":"2022-03-03","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"72485808","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":1,"RegionCategory":"经济学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"The Effectiveness of Research and Development in the Field of Transport and Space Systems in Russia: Analysis of Publication Activity","authors":"V. Zavarukhin, T. I. Сhinaeva, E. Churilova","doi":"10.21686/2500-3925-2022-1-28-45","DOIUrl":"https://doi.org/10.21686/2500-3925-2022-1-28-45","url":null,"abstract":"The aim of the study. Federal target program “Research and development in priority areas of development of the scientific and technological complex of Russia for 2014-2021” defines transport and space systems as a priority area of strategic importance for the country’s economy. The aim of the work is to study the state of research and development in the field of study and development of transport and space systems based on performance analysis, as well as to compare the effectiveness of scientific activities of educational organizations of higher education and scientific organizations in this area.Materials and methods. The information base of the study was statistical data and analytical information reflecting the state of research and development in the field of study and development of transport and space systems. The methodological base of the study is statistical methods of information analysis: analysis of variance, testing of statistical hypotheses, non-parametric criteria for comparing samples, analysis of time series, structural analysis.Results and discussion. The article reflects the results of the Institute for the Study of Science of the Russian Academy of Sciences monitoring the scientific potential of organizations conducting research and development in the priority area of scientific and technological development “Connectedness of the territory of the Russian Federation through the creation of intelligent transport and telecommunication systems, as well as the occupation and retention of leadership positions in the creation of international transport and logistics systems, the development and use of outer space and air space, the World Ocean, the Arctic and Antarctic”. This publication, in particular, analyzes the effectiveness of research and development in the priority area “Transport and space systems”.As a result of the analysis, conclusions were drawn about the main directions and trends of research and development in the field of studying and developing transport and space systems in Russia for the period 2015-2019. With the help of methods of dispersion analysis, nonparametric criteria, etc., a comparison was made of the effectiveness of scientific activity of educational organizations of higher education and scientific organizations.The analysis showed that international publishing analytical systems occupy a greater weight in the volume of publications compared to the Russian Science Citation Index (RSCI).Researchers of educational organizations of higher education have 5 times more publications than employees of scientific organizations, which can be explained by overestimated requirements for positions of faculty and the formation of “garbage” articles. In terms of citation, 2017 was the most successful year for Russian researchers in the field of transport and space systems. At the same time, the citation of researchers from educational organizations was 3-3.5 times higher in international publications and twice as hig","PeriodicalId":48456,"journal":{"name":"Review of Economics and Statistics","volume":"11 1","pages":""},"PeriodicalIF":8.0,"publicationDate":"2022-03-03","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"77640405","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":1,"RegionCategory":"经济学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Assessment of the Impact of the Covid-19 Pandemic on the Incomes and Adaptation of the Population of the Region To It: Statistical Approach","authors":"N. Kremlev, I. A. Drozdova","doi":"10.21686/2500-3925-2022-1-46-52","DOIUrl":"https://doi.org/10.21686/2500-3925-2022-1-46-52","url":null,"abstract":"The aim of the study is to determine the impact of the COVID-19 pandemic and the self-isolation regime announced in Russia on the incomes of the population. The relevance of the study is connected with the problems of reflecting the pandemic, searching for patterns and its interrelations with incomes, health, living conditions of the population. The emergence of coronavirus disease (March 2020), quickly spread to all regions of the country, in 2021 the fourth record wave of morbidity and mortality of the population was recorded.The research methods are the theory and methodology of income of the population used by the Federal State Statistics Service, corresponding to international norms and standards, including the system of national accounts. To determine the directions of the impact of the COVID-19 pandemic on the incomes of the population of the region, the method of analytical groupings (stochastically deterministic relationships), as well as the method of comparing parallel series, the index method and interregional data evaluation analysis were used.The results of the study: the use of a statistical approach to assess and determine the impact of the COVID-19 pandemic on the real incomes of the population allowed us to determine the features of the spread of the disease in the regions of the Ural Federal District. The conclusion is made: the spread of COVID-19 in 2020-2021 did not have a significant impact on the real monetary incomes of the population in the regions of the Ural Federal District, despite the increase in the morbidity of people. The population quickly adapted to the pandemic, many enterprises were operating normally, and the state took prompt measures to reduce tensions and support the population and the health system in the country. The oppositely directed factors of the impact of the pandemic, leading to negative and positive consequences of real incomes of the population, have been identified. The level and degree of influence of the morbidity of the population on the income of the population are determined.Conclusion: the use of a statistical approach makes it possible to improve the quality of information, to determine the positive and negative factors of the COVID-19 pandemic’s impact on incomes and the level of adaptation of the region’s population to it. The adaptation of the population to the coronavirus will continue for several more years and longer, and the waves of the disease will decrease as medicines are created. The study makes it possible to assess not only the main directions of influence on the real monetary incomes of the population, but also the quality of decisions made by management structures.","PeriodicalId":48456,"journal":{"name":"Review of Economics and Statistics","volume":"52 1","pages":""},"PeriodicalIF":8.0,"publicationDate":"2022-03-03","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"76557027","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":1,"RegionCategory":"经济学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Presentation of Financial Assets in the Monetary Statistics","authors":"V. Salin, O. Sitnikova, L. Arhangelskaya","doi":"10.21686/2500-3925-2022-1-4-17","DOIUrl":"https://doi.org/10.21686/2500-3925-2022-1-4-17","url":null,"abstract":"The purpose of the study. Currently, the issues of determining, presenting and analyzing indicators of economic assets, in particular, financial ones, are relevant, since financial assets, along with nonfinancial ones, constitute the most important characteristic of national wealth as a level of development of the country and are the basis for constructing national accounts, indicators of monetary statistics and other sections of macroeconomic statistics. In modern conditions, the role of these constructions in making effective management decisions at the macro level, individual sectors, economic entities, on the development of the national economy as a whole is increasing. The aim of the work is to systematize theoretical and practical developments on the definition and presentation of data on financial assets in modern monetary statistics of Russia, to identify areas for improving methods for assessing financial assets, a system of indicators characterizing their presence, structure and dynamics.Materials and methods. In the paper, the authors considered the essence, functions, classifications of financial assets and liabilities, applied structural and dynamic data analysis, as well as methods of theoretical research in the form of generalization, comparison and special analytical procedures based on official statistics from Rosstat, the Bank of Russia, the Ministry of Finance and international statistical organizations.Results. The work formulates the main directions of the study of financial assets, based on modern international statistical standards, taking into account domestic practice. Topical issues of the theory and practice of statistical collection and presentation of data on financial assets in monetary statistics, the application of definitions and classifications of international standards to Russian official statistics are considered. The features of the reflection of data on financial assets at the macro level, in the system of indicators of monetary statistics, have been formulated. The authors carried out a quantitative assessment of the structure and dynamics of indicators of monetary statistics in Russia, which characterize the state and movement of financial assets and liabilities.Conclusion. A statistical study of transactions with financial assets and in connection with the formation of monetary aggregates makes it possible to identify not only the main trends in the development of these processes, but also makes it possible to characterize the contribution of a particular subsector to the total value of financial intermediation, to analyze the relationship between the financial corporations’ sector and other sectors, and also a comprehensive change in the volume and composition of stocks and flows of financial assets as a result of exchanges between residents and non-residents.The authors comprehensively reviewed the methodological framework for constructing money aggregates and reviews of the financial corporations’ sect","PeriodicalId":48456,"journal":{"name":"Review of Economics and Statistics","volume":"53 1","pages":""},"PeriodicalIF":8.0,"publicationDate":"2022-03-03","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"87033560","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":1,"RegionCategory":"经济学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Monitoring of The Consumption Level for Sustainable Development Goals","authors":"K. Kuznetsov","doi":"10.21686/2500-3925-2022-1-18-27","DOIUrl":"https://doi.org/10.21686/2500-3925-2022-1-18-27","url":null,"abstract":"The indicators of the Sustainable Development Goals (hereinafter referred to as the SDGs) were developed by the UN members and are aimed at the sustainable development of countries in the field of social policy, ecology and ensuring the well-being of the population. Sustainable Development Goals in the field of social policy can be considered necessary for survival. Country indicators are calculated by statistical agencies in accordance with methodologies developed by the SDGs curator agencies. The Federal State Statistics Service (Rosstat) in accordance with the Federal Statistical Plan calculates most indicators for Russia. The standard of living of the population can be estimated indirectly as the share of the population’s expenditures on food, which are necessary for the physiological survival of a person. The literature notes that the existing criteria for the level of poverty can distort the real state. Therefore, the average per capita consumption level may depend on the size of the household. The paper considers the average per capita expenditure level on food in a household, depending on the characteristics of the household (number of members in the family, age groups). The paper also considers the differentiation of the regions of the Russian Federation in terms of the share of the population’s expenditures on food.The purpose of the study is to determine the relationship between the size of the household and its food expenditures, as well as the characteristics of the population’s expenditures, depending on the composition of the household, on food at home, outside the home and alcohol expenditures.Materials and methods. The source of the data for statistical analysis is the Household Budget Surveys (HBS) conducted by Rosstat for 2010-2020 (11 years). Methods of statistical analysis are applied in the work; the author’s grouping of households is given depending on their characteristics. This survey is conducted quarterly for 48 thousand households. The performed calculations are presented for the year as an average value for 4 quarters. All necessary calculations were performed using the IBM SPSS application software package.Results. The results obtained allow us to draw conclusions about the impact of household size on food consumption. The consumption schedule has a U-shape, where the lowest average per capita consumption is observed in households of three and four people. At the same time, in especially large households (6 or more people), a high share of food expenditures may indicate a high level of poverty. The indicator of the share and structure of household expenditures on food also depends on the characteristics of the household: the largest share of total food expenditures in final consumption expenditures in 2020 is observed in households from single pensioners (46.4%), and the smallest - in households from 2 adults and one child (31.8%). The largest share of spending on eating out is in households of adults and children. A","PeriodicalId":48456,"journal":{"name":"Review of Economics and Statistics","volume":"25 1","pages":""},"PeriodicalIF":8.0,"publicationDate":"2022-03-03","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"90805308","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":1,"RegionCategory":"经济学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"THE IMPACT OF EMERGENCY CASH ASSISTANCE IN A PANDEMIC: EXPERIMENTAL EVIDENCE FROM COLOMBIA.","authors":"Juliana Londoño-Vélez, Pablo Querubín","doi":"10.1162/rest_a_01043","DOIUrl":"10.1162/rest_a_01043","url":null,"abstract":"<p><p>We study the impact of money on households during the COVID-19 pandemic. In March 2020, Colombia rolled out a new unconditional cash transfer (UCT) to 1 million households in poverty worth US$19 (PPP US$55.6) and paid every five to eight weeks. Using a randomized control trial and linked administrative and survey data, we find the UCT had positive (albeit modest) effects on measures of household well-being (e.g., financial health, food access). Moreover, the UCT boosted support for emergency assistance to households and firms during the crisis and promoted social cooperation. Finally, we explore the bottlenecks in expanding mobile money during a pandemic.</p>","PeriodicalId":48456,"journal":{"name":"Review of Economics and Statistics","volume":"104 1","pages":"157-165"},"PeriodicalIF":7.6,"publicationDate":"2022-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC11349326/pdf/","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"44068471","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":1,"RegionCategory":"经济学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Economic Development of the Latin American Integration Association: Trends and Prospects","authors":"M. Tolmachev, E. Nikiforova, A. Tsypin","doi":"10.21686/2500-3925-2021-6-49-59","DOIUrl":"https://doi.org/10.21686/2500-3925-2021-6-49-59","url":null,"abstract":"Relevance. Catch-up countries are at a disadvantage in the world economy and are forced to fight for world market share. For this purpose, they form political and economic alliances and associations designed to counter the aggressive policies of the developed countries. All this applies fully to countries that are members of the Latin American Integration Association (LAIA). In our opinion, the assessment of the position of the participating countries on the geopolitical map of the world deserves special attention.Purpose of the study consists in the formation of an author’s methodology for studying the economic development of countries that are members of the Latin American Integration Association and building a forecast in the medium term on the basis of statistical tools. Materials and methods. The study used general research methods, such as analysis, comparisons, historical, as well as mathematical and statistical, in particular tabular and graphical, descriptive statistics and elements of correlation-regression analysis. A set of these methods and algorithms made it possible to identify the patterns that have developed at the moment in the economies of the Latin American Integration Association countries, assess their positions regarding world leaders, and also build short-term development forecasts.Results. With considerable resources, the countries of the Latin American Integration Association have not been able to significantly increase the share of world GDP during the existence of the association, which throughout the period does not exceed 5%. Within the association, there is a considerable differentiation. So the dominant positions are occupied by Brazil, Mexico, Argentina, while the positions of outsiders, by a significant margin, are occupied by Uruguay, Ecuador and Cuba. The structure of the economies of the association countries is largely different from the developed countries: the former are dominated by manufacturing, while the latter are dominated by services. A causal analysis of the impact of industries on GDP per capita, conducted in two time slices in 1990 and 2019, showed that during this time the countries that are members of the association have not been able to reformat the structure of their economies, which does not allow successful competition with developed countries. An element of the scientific novelty of the study is the formation of a theoretical and methodological approach to the study of the economic development of the geopolitical structure, which is the Latin American Integration Association, as well as the testing of this approach based on the actual data of international organizations.Conclusion. The testing of the author’s methodology aimed at studying the economic development of LAIA member countries allows us to argue about the operability of the algorithm, which made it possible to establish the low efficiency of the integration policy of Latin American countries, which, despite the significant level","PeriodicalId":48456,"journal":{"name":"Review of Economics and Statistics","volume":"4 1","pages":""},"PeriodicalIF":8.0,"publicationDate":"2021-12-22","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"82493496","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":1,"RegionCategory":"经济学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Method of Calculation of Integrated Performance Indicators of Defense Industry Organizations","authors":"S. Eroshin","doi":"10.21686/2500-3925-2021-6-26-34","DOIUrl":"https://doi.org/10.21686/2500-3925-2021-6-26-34","url":null,"abstract":"&lt;jats:p&gt;&lt;jats:bold&gt;&lt;jats:italic&gt;The&lt;/jats:italic&gt;&lt;/jats:bold&gt;&lt;jats:bold&gt;&lt;jats:italic&gt; &lt;/jats:italic&gt;&lt;/jats:bold&gt;&lt;jats:bold&gt;&lt;jats:italic&gt;purpose&lt;/jats:italic&gt;&lt;/jats:bold&gt;&lt;jats:bold&gt;&lt;jats:italic&gt; &lt;/jats:italic&gt;&lt;/jats:bold&gt;&lt;jats:bold&gt;&lt;jats:italic&gt;of&lt;/jats:italic&gt;&lt;/jats:bold&gt;&lt;jats:bold&gt;&lt;jats:italic&gt; &lt;/jats:italic&gt;&lt;/jats:bold&gt;&lt;jats:bold&gt;&lt;jats:italic&gt;the&lt;/jats:italic&gt;&lt;/jats:bold&gt;&lt;jats:bold&gt;&lt;jats:italic&gt; &lt;/jats:italic&gt;&lt;/jats:bold&gt;&lt;jats:bold&gt;&lt;jats:italic&gt;study&lt;/jats:italic&gt;&lt;/jats:bold&gt;&lt;jats:bold&gt;&lt;jats:italic&gt; &lt;/jats:italic&gt;&lt;/jats:bold&gt;&lt;jats:italic&gt;is&lt;/jats:italic&gt;&lt;jats:italic&gt; &lt;/jats:italic&gt;&lt;jats:italic&gt;to&lt;/jats:italic&gt;&lt;jats:italic&gt; &lt;/jats:italic&gt;&lt;jats:italic&gt;develop&lt;/jats:italic&gt;&lt;jats:italic&gt; &lt;/jats:italic&gt;&lt;jats:italic&gt;a parametric monitoring system&lt;/jats:italic&gt;&lt;jats:italic&gt; &lt;/jats:italic&gt;&lt;jats:italic&gt;for&lt;/jats:italic&gt;&lt;jats:italic&gt; &lt;/jats:italic&gt;&lt;jats:italic&gt;defense&lt;/jats:italic&gt;&lt;jats:italic&gt; industry enterprises, optimizing on the principle of minimum&lt;/jats:italic&gt;&lt;jats:italic&gt; &lt;/jats:italic&gt;&lt;jats:italic&gt;sufficiency&lt;/jats:italic&gt;&lt;jats:italic&gt; &lt;/jats:italic&gt;&lt;jats:italic&gt;a set of key indicators of the activities of organizations and&lt;/jats:italic&gt;&lt;jats:italic&gt; &lt;/jats:italic&gt;&lt;jats:italic&gt;increasing&lt;/jats:italic&gt;&lt;jats:italic&gt; &lt;/jats:italic&gt;&lt;jats:italic&gt;the&lt;/jats:italic&gt;&lt;jats:italic&gt; &lt;/jats:italic&gt;&lt;jats:italic&gt;efficiency&lt;/jats:italic&gt;&lt;jats:italic&gt; &lt;/jats:italic&gt;&lt;jats:italic&gt;of&lt;/jats:italic&gt;&lt;jats:italic&gt; &lt;/jats:italic&gt;&lt;jats:italic&gt;management&lt;/jats:italic&gt;&lt;jats:italic&gt; &lt;/jats:italic&gt;&lt;jats:italic&gt;of&lt;/jats:italic&gt;&lt;jats:italic&gt; &lt;/jats:italic&gt;&lt;jats:italic&gt;research&lt;/jats:italic&gt;&lt;jats:italic&gt; &lt;/jats:italic&gt;&lt;jats:italic&gt;institutes,&lt;/jats:italic&gt;&lt;jats:italic&gt; &lt;/jats:italic&gt;&lt;jats:italic&gt;design&lt;/jats:italic&gt;&lt;jats:italic&gt; &lt;/jats:italic&gt;&lt;jats:italic&gt;bureaus,&lt;/jats:italic&gt;&lt;jats:italic&gt; &lt;/jats:italic&gt;&lt;jats:italic&gt;industrial&lt;/jats:italic&gt;&lt;jats:italic&gt; &lt;/jats:italic&gt;&lt;jats:italic&gt;and&lt;/jats:italic&gt;&lt;jats:italic&gt; &lt;/jats:italic&gt;&lt;jats:italic&gt;service&lt;/jats:italic&gt;&lt;jats:italic&gt; &lt;/jats:italic&gt;&lt;jats:italic&gt;enterprises&lt;/jats:italic&gt;&lt;jats:italic&gt; &lt;/jats:italic&gt;&lt;jats:italic&gt;of&lt;/jats:italic&gt;&lt;jats:italic&gt; &lt;/jats:italic&gt;&lt;jats:italic&gt;the&lt;/jats:italic&gt;&lt;jats:italic&gt; &lt;/jats:italic&gt;&lt;jats:italic&gt;military-industrial&lt;/jats:italic&gt;&lt;jats:italic&gt; &lt;/jats:italic&gt;&lt;jats:italic&gt;complex.&lt;/jats:italic&gt;&lt;/jats:p&gt;&lt;jats:p&gt;&lt;jats:bold&gt;&lt;jats:italic&gt;Materials&lt;/jats:italic&gt;&lt;/jats:bold&gt;&lt;jats:bold&gt;&lt;jats:italic&gt; &lt;/jats:italic&gt;&lt;/jats:bold&gt;&lt;jats:bold&gt;&lt;jats:italic&gt;and&lt;/jats:italic&gt;&lt;/jats:bold&gt;&lt;jats:bold&gt;&lt;jats:italic&gt; &lt;/jats:italic&gt;&lt;/jats:bold&gt;&lt;jats:bold&gt;&lt;jats:italic&gt;methods.&lt;/jats:italic&gt;&lt;/jats:bold&gt;&lt;jats:bold&gt;&lt;jats:italic&gt; &lt;/jats:italic&gt;&lt;/jats:bold&gt;&lt;jats:italic&gt;The&lt;/jats:italic&gt;&lt;jats:italic&gt; &lt;/jats:italic&gt;&lt;jats:italic&gt;methodological&lt;/jats:italic&gt;&lt;jats:italic&gt; &lt;/jats:italic&gt;&lt;jats:italic&gt;and&lt;/jats:italic&gt;&lt;jats:italic&gt; &lt;/jats:italic&gt;&lt;jats:italic&gt;theoretical&lt;/jats:italic&gt;&lt;jats:italic&gt; &lt;/jats:italic&gt;&lt;jats:italic&gt;basis&lt;/jats:italic&gt;&lt;jats:italic&gt; &lt;/jats:italic&gt;&lt;jats:italic&gt;of&lt;/jats:italic&gt;&lt;jats:italic&gt; &lt;/jats:italic&gt;&lt;jats:italic","PeriodicalId":48456,"journal":{"name":"Review of Economics and Statistics","volume":"45 2 1","pages":""},"PeriodicalIF":8.0,"publicationDate":"2021-12-22","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"83166096","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":1,"RegionCategory":"经济学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Statistical assessment of the activity of collective accommodation facilities and their contribution to the economy of the Russian Federation regions","authors":"V. Salin, M. V. Vakhrameeva, V. V. Narbut","doi":"10.21686/2500-3925-2021-6-35-48","DOIUrl":"https://doi.org/10.21686/2500-3925-2021-6-35-48","url":null,"abstract":"The purpose of the study. Tourism is a priority area of economic development. Short-term accommodation of tourists plays an important role in the tourism industry. The indicator of the number of persons placed in collective accommodation facilities is used to determine the tourist flow in the context of the regions of the Russian Federation. The approach we have used in this study aims to analyze the activity of collective accommodation facilities and assess their contributionto the economy of the Russian Federation regions based on current statistical information. The research was carried out at the expense of budgetary funds on the state assignment to the Financial University under the Government of the Russian Federation. The study focuses on:analysis of the activity of collective accommodation facilities on the territory of Russia,testing the hypothesis that the differences in the main indicators, characterizing the activity of collective accommodation facilities are due to the influence of the territorial factor,evaluate the efficiency of functioning of collective accommodation facilities and their profitability, and highlight the regions of Russia with low, medium and high levels of profitability of tourist accommodation facilities,assess the contribution of the activity of collective accommodation facilities for tourists to the economy of the regions of Russia. Materials and methods. In the paper, the authors considered definitions, classification, a system of indicators that form a methodological basis for statistical observation of the activity of collective accommodation facilities and their presentation in accordance with the current international and national statistical standards. We applied the grouping method, structural and dynamic data analysis. The hypothesis of the normal distribution of the data was tested on the basis of the Shapiro-Wilk Test. The hypothesis that the differences in indicators characterizing tourist activity are due to the influence of the regional factor was tested using the nonparametric Kruskal-Wallis Test. To assess the contribution of the activity of collective accommodation facilities to the economy of the Russian region, the authors calculated an integral index assessing the resources and results of tourism activities in the region. The analysis was carried out according to 5 indicators characterizing tourist activity in 82 regions of the Russian Federation in 2019.Results. The study found that the territorial factor has a statistically significant effect on the number of seats for receiving tourists, the number of accommodated persons, the number of overnight stays. At the same time, the differences in the distribution of the collective accommodation facilities over the territory of Russia are caused not by the belonging of the region of Russia to a certain federal district, but by other factors. The study also made it possible to come to the conclusion that, in terms of the profitability of collective","PeriodicalId":48456,"journal":{"name":"Review of Economics and Statistics","volume":"39 1","pages":""},"PeriodicalIF":8.0,"publicationDate":"2021-12-22","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"80160881","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":1,"RegionCategory":"经济学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}