{"title":"A Framework for the Assessment of Fiscal Consequences of Global Trade Wars","authors":"O. Bilousova","doi":"10.31767/su.4(95)2021.04.02","DOIUrl":"https://doi.org/10.31767/su.4(95)2021.04.02","url":null,"abstract":"The article is devoted to topical issues of assessing the consequences of trade wars for the fiscal space of third countries. The main preconditions and causes of the trade conflict between the United States and China were studied. The main models for assessing the consequences of global trade wars were analyzed. Particular attention is paid to the global integrated monetary, fiscal and global trade models, which are based on the principles of general economic equilibrium and are widely used to assess the economic consequences of global challenges, including trade wars. It was found that the global integrated monetary and fiscal model, other macroeconomic models were aimed at determining the economic consequences and effects and cannot be directly used to assess fiscal risks and likely budget losses due to global trade wars. The aim of the article is to deepen the principles of assessing the fiscal consequences of trade wars in the conditions of uncertainty in foreign economic policy and directions of restructuring of the world value chains. The economic consequences of the conflict and the channels of their spread to third countries were identified taking into account the deepening globalization processes. The direct and indirect dependence of exports and imports, GDP, investments, factor productivity level and tax revenues on changes in foreign trade, tariff increases, increasing uncertainty in world trade in the short, medium and long term is highlighted. The estimates obtained by different models are summarized. The fiscal consequences of the trade conflict between the United States and China for Ukraine as a country with a small, open and predominantly commodity economy were quantified. The inclusion in fiscal risks of probable losses of foreign trade from global trade wars, arising due to various reasons, which may decrease the tax revenues or increase the expenditures on the public support of enterprises, is justified. Changes in the methodology for assessment of fiscal risks are proposed, enabling to estimate the cost impact of fiscal risks on the public budget of Ukraine. Proposals for improvements in the statistical monitoring of business activity of enterprises, to form an appropriate information base for monitoring foreign economic activities, assessing fiscal risks and making decisions to ensure the sustainability of public finance and public support for enterprises in the conditions of global trade wars, are substantiated.","PeriodicalId":52812,"journal":{"name":"Statistika Ukrayini","volume":null,"pages":null},"PeriodicalIF":0.0,"publicationDate":"2022-03-13","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"46414712","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":"Management Accounting Data in Statistical Surveys","authors":"M. Korinko","doi":"10.31767/su.4(95)2021.04.10","DOIUrl":"https://doi.org/10.31767/su.4(95)2021.04.10","url":null,"abstract":"The article is devoted to analysis of the factors determining the feasibility of management accounting data applications in statistical research at micro level, which results will be used in elaborating and taking effective management decisions, as well as in the budget process for a given period of business operation. It is emphasized that the production efficiency can be achieved by the optimal use of resources given an acceptable level of risk. An analytical review of research works giving evidence of the need to use results of statistical research in business management was made. It showed that the necessity for analysis of the relationship between management accounting and creating databases for statistical research had not been clearly emphasized. Also, there has been no analysis of trends in creating a regulatory information framework at the national (cross-sectoral) level, which would have to consist of norms and standards of accounting and cost control in business entities. The assumption on a probable utilization of material resources in the shadow production due to the outdated regulatory framework is made. \u0000Emphasis is placed on determining the fields of statistical research which results are going to be used in the business management system and evaluation of structural units in a business enterprise. The advantages of normative cost accounting and production costing for performance assessment and quick response on identified deficiencies in the management system are highlighted. It is argued that human resources constitute the main economic factor in the business operation process. The basic postulates of the national economy development are given, which have to frame the cost policy of business enterprises with taking into account results of statistical research. Problems related with applications of management accounting data in statistical research are outlined, which solutions can be subject of further research.","PeriodicalId":52812,"journal":{"name":"Statistika Ukrayini","volume":null,"pages":null},"PeriodicalIF":0.0,"publicationDate":"2022-03-13","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"46929849","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":"Using Statistical Methods for Analysis of the Implementation of Reforms of the New Ukrainian School","authors":"М. Horna, Ya. V. Ishchuk","doi":"10.31767/su.4(95)2021.04.05","DOIUrl":"https://doi.org/10.31767/su.4(95)2021.04.05","url":null,"abstract":"Methods of statistical analysis, in particular sample surveys to monitor implementation of the New Ukrainian School, are analyzed in the article. The topical issues that need to be addressed in evaluating secondary education reforms are outlined: the attitude of teachers belonging to all age categories to the reform of the New Ukrainian School, the accessibility and effectiveness of professional development courses, the readiness to develop new educational programs, and the material equipment of classrooms depending on the type of area (urban or rural). \u0000The aim of the article is to obtain relevant statistical data on education and sup up the experience of monitoring studies in education using a combination of statistical methods. The article is based on general scientific methods: analysis and synthesis, comparisons, analysis of contingency tables, graphical method, etc. The correlation between the teacher’s age and his/her attitude to reform, the teacher’s training and retraining and his/her ability and desire to master new teaching methods, material support of the educational process and the type of area was analyzed. The hypotheses about the correlation of variables and the agreement of the respondents’ opinions were tested. \u0000The practice of implementing monitoring studies to meet the demands of administrations in analytical information on education is discussed. It is emphasized that more effective statistical and information technologies, forms and methods of statistical observations, including special and sample surveys, need to be used in statistical studies as an alternative to the traditional reporting. The need for elaborating methodological and organizational issues in plans of particular surveys with consideration to information support and advanced Internet, information & communication and digital technologies is highlighted. \u0000The end result of the study is to obtain statistically reliable data for analysis which results will enable to formulate conclusions and recommendations for actors of the educational process. The produced information can be useful for education authorities as the basis for taking administrative decisions.","PeriodicalId":52812,"journal":{"name":"Statistika Ukrayini","volume":null,"pages":null},"PeriodicalIF":0.0,"publicationDate":"2022-03-13","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"46965911","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":"Review of the National Experience of Measuring Gender Inequality in Ukraine, 2009–2021. Part I. Government Practice of Gender Measurements","authors":"M. Skoryk","doi":"10.31767/su.4(95)2021.04.06","DOIUrl":"https://doi.org/10.31767/su.4(95)2021.04.06","url":null,"abstract":"The review presents the national practice of measuring gender equality in Ukraine since 2009 and identifies gaps in the tools, methods and indicators used for this measurement. \u0000Due to the difference in the powers and responsibilities of governmental and non-governmental sectors, the first part of the review presents state practices for measuring gender inequality, and the second part presents relevant initiatives by non-governmental communities and donors. \u0000It is argued that the state gender measurements in Ukraine had two active periods: 2009-2011 and 2019-2021. The first of them introduced the practice of preparing gender portraits of regions, which became widespread; and prepared a basic overview of the feasibility of creating a national system of gender statistics of Ukraine and its indicators. In the second of them, the government carried out work on standardizing the gender profiles of 25 regions of Ukraine; and the selection of gender-disaggregated indicators for nationwide monitoring of gender equality. \u0000It has been established that the longest-running and most widespread national practice of gender dimension in Ukraine is gender portraiture, which was conducted in more than 2/3 of Ukraine’s regions and later spread to cities and local communities. However, tools for gender profiling and reporting on sets of advanced indicators have not become widespread. \u0000It is established that the predominant type of gender measurement tool is a set of indicators, numbering about 30, grouped in 4-6 thematic areas. This set is usually determined from the available data of the State Statistics Service and is available for use in the absence of professional gender analysts. Attempts to use and disseminate more detailed sex measurement tools have failed. According to the levels of the gender measurement, national and local measurements were found to be preferred. There were no precedents for sectoral gender measurement and attempts to develop sectoral gender statistics. It is concluded that this is a gap that needs to be addressed. \u0000It was found that all measurements, except for the statistical collection ‘Women and Men in Ukraine” were irregular. Measurements on the same list of indicators were carried out once or never. \u0000It is concluded that there is a lack of coordination of measurement practices at the national and local levels, even if it was carried out by the same responsible state body. \u0000The review was prepared within the framework of the Women’s Rights Monitoring Initiative project, implemented in 2019-2021 by the Kyiv Institute for Gender Studies with the support of the Swiss Embassy in Ukraine.","PeriodicalId":52812,"journal":{"name":"Statistika Ukrayini","volume":null,"pages":null},"PeriodicalIF":0.0,"publicationDate":"2022-03-13","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"41385715","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":"The structure of information support for market analysis market segment","authors":"S. Gerasimenko, E. Nosova","doi":"10.31767/su.4(95)2021.04.01","DOIUrl":"https://doi.org/10.31767/su.4(95)2021.04.01","url":null,"abstract":"The article, based on the theoretical foundations of statistical management, considers the tasks, the solution of which should contribute to obtaining the information necessary for the effective functioning of the market segment. Its effective functioning means achieving a balance between supply and demand, which should result from the collection, processing and use of objective, meaningful and operational data on effective customer demand and their use for management decisions by manufacturers to meet it. It is noted that the formation of such information support market analysis requires taking into account the specific characteristics of the participants of its individual segments, which sells a particular product for certain categories of buyers. This requires prior market segmentation and the development of its own system of statistics for each of them. After determining the set of indicators whose knowledge of the level and trends should contribute to the justification of management decisions, there is a task of finding a data source. In the context of digitalization of society, in addition to the data of the State Statistics Service, electronic sources provide great assistance in this. However, they also have certain shortcomings, which cause significant risks in decision-making based on the results of the analysis for which such data were used. Taking into account the above remarks, the article proposes to carry out its segmentation, to develop the necessary system of statistical indicators to assess the attractiveness and analysis of the situation of a certain segment, to identify data sources to calculate the level and track trends, identify ways to further change on business entities involved in the market, in order to obtain competitive advantages.","PeriodicalId":52812,"journal":{"name":"Statistika Ukrayini","volume":null,"pages":null},"PeriodicalIF":0.0,"publicationDate":"2022-03-13","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"46702796","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":"Use of patent data for knowledge transfer measuring in green economy sectors of Ukraine","authors":"I. Yegorov, V. Gryga, Y. Ryzhkova","doi":"10.31767/su.4(95)2021.04.03","DOIUrl":"https://doi.org/10.31767/su.4(95)2021.04.03","url":null,"abstract":"The paper is devoted to the analysis of the knowledge transfer in two leading sectors of green economy in Ukraine – green energy and organic agriculture. Both sectors are of growing importance for the world economy, especially in the context of the need to fight global warming and to increase high quality food supply. Statistical data on functioning of these sectors in Ukraine shows that both sectors are developing very fast, both in terms of production outputs and number of the business. \u0000That is why analysis is based on the patent data derived from the Espacenet database. The database provides information on patent according to CPC, which better meets the need of green economy analysis. We used OECD patent search strategy for the following areas: wind energy; solar thermal energy; hydroenergy; PV energy; fuel from waste; agriculture; nuclear energy; marine energy; bio-organic fraction processing; biofuels; hydrogen; solar thermal-PV hybrids; superconducting electric elements; geothermal energy. \u0000The analysis shows that ties between different organizations, involved in development of green economy within the country are weak. Even in the most developed subsectors, namely wind, solar thermal energy and hydroenergy patent activity of commercial firms are extremely low. \u0000 This could be explained by technological backwardness, relatively small domestic markets for corresponding products and limited access to the foreign markets, existing of other channels for knowledge transfer. It was revealed paradox situation, when the number of scientific outputs related to green economy was growing up, while patent activity was declining. It means that current IPR and knowledge transfer system is not efficient in Ukraine and needs to be improved. \u0000The paper is structures as follows. In the first part of the paper a brief description of green economy sectors of Ukraine is presented. It is followed by general situation with IPR in Ukraine. The third part is devoted to the analysis of green patenting in the country in recent years with the focus of networking between different actors. Conclusions contain final assessment of the situation and general recommendations for further innovation-based development of the green economy in Ukraine.","PeriodicalId":52812,"journal":{"name":"Statistika Ukrayini","volume":null,"pages":null},"PeriodicalIF":0.0,"publicationDate":"2022-03-13","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"43927583","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":"Predicting Demographic Indicators by Splines","authors":"A. Kukush, A. A. Melekestseva, N. Gunko","doi":"10.31767/su.4(95)2021.04.08","DOIUrl":"https://doi.org/10.31767/su.4(95)2021.04.08","url":null,"abstract":"The current demographic pattern in Ukraine features the decreasing birth rate and the increasing mortality, resulting in ageing and decline of the population, which breaks the favourable demographic balance. At the Ukrainian territories affected by radioactive contamination because of the accident at the Chornobyl nuclear power plant, these processes differ from those on other territories. Given the considerable impact of emergency situations on the course of demographic processes, developing and testing prediction techniques specifically designed for those territories has essential importance. \u0000The purpose of this work is to forecast changes in demographic indicators (population number, birth rate, mortality,infant mortality and stillbirth) by spline functions, forthe areas with the heaviest radioactive contamination after the Chornobyl disaster, which are located in Zhytomyr region (Korosten, Luhyno, Narodychy, Ovruch and Olevsk), for 2020–2023, and the town of Korosten for 2021–2023.The data sources for the research were State Statistic Service of Ukraine for 1979–2020, and the Ministry of Health of Ukraine for the period of the COVID-19 pandemic. \u0000At the first phase, spline functions were used to forecast the abovementioned indicators in 2017–2020 by data for 1979–2016 for the town of Korosten. A comparison of the resulting forecast with the actual data led to the conclusion that that spline models of observations could be an effective tool for short-term forecasting of population number, birth rate and mortality. The most adequate prediction of population numbers could be achieved with cubic splines, whereas the best prediction of birth rate and mortality – with linear continuous splines. \u0000The forecasts of birth and mortality rates for 2017–2020 proved to be quite optimistic. However, in the pandemic conditions, a deviation of the predicted population numbers, birth rate and mortality was revealed: actual numbers for all the three indicators in 2020 were beyond the confidence region, which had not been the case in 2017–2019. The actual figures in 2020, found to be far worse than the predicted ones, may be caused by the impact of the COVID-19 pandemic in 2020, which is an unpredictable factor. The extra mortality caused by COVID-19 in 2020 was estimated for the town of Korosten. \u0000At the second phase, probable changes in the population number, birth rate and mortality were predicted for 2021–2023 in all the areas. The 95% confidence region and confidence intervals were built for the predictions. It was found that the last years’ trends in demographic indicators in radioactively contaminated territories would continue in a short-term perspective. It was shown that because annual numbers of infant mortality and stillbirthcould not be predicted due to their significant variations, averaging for 5-year periods should be used. \u0000A forecast of the average numbers was made for the 5 five-year periods where actual data were unknown. Also, it was emphas","PeriodicalId":52812,"journal":{"name":"Statistika Ukrayini","volume":null,"pages":null},"PeriodicalIF":0.0,"publicationDate":"2022-03-13","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"46369544","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":"Energy Poverty Indicators in Ukraine: Definition and Statistical Assessment","authors":"М. Y. Ogay","doi":"10.31767/su.2(93)2021.02.02","DOIUrl":"https://doi.org/10.31767/su.2(93)2021.02.02","url":null,"abstract":"An important step on the way to setting up a socio-economic trajectory of the national economy development in the context of Eurointegration process and to achieving a stable energy support of social needs is the approval and implementation of the Energy Security Strategy of Ukraine, being now under consideration of the Cabinet of Ministers of Ukraine. A strategic goal of the Strategy is defined as the guaranteed accessibility of energy sources and energy resources for all the types of consumers. However, given the rapidly declining standard of living, the government policy aimed at increasing energy tariffs has led to the increased share of households unable to meet their basic energy needs. \u0000The inability of households to meet their basic needs (to heat dwelling facilities in winter or to pay the bills) due to poor assess to energy services is defined in EU countries as energy poverty. In practice, determining the energy poverty includes the assessment of the share of total household or individual income spent for energy sources. But this share is not fixed by the Energy Community or the European Union, neither unified methodological approaches to determining vulnerable categories of population nor factors of energy poverty do exist, which highlights the topicality of this study. \u0000The conditions and standard of living of Ukrainian households are analyzed in view of their belonging to energy vulnerable ones. An assessment of basic features of households is made, to characterize the condition of housing stock and the modernization of housing; the availability of modern electric devices; the parameters of heating and cooling facilities; the parameters of water boiling facilities; the material condition of households and the structure of their total spending; the solvency of households. The information base for this study is the data obtained from the national sample survey on the accessibility and use of energy by Ukrainian households, held in 2019 on line on the USAID Project of Energy Security by the initiative of the State Statistics Service of Ukraine. \u0000The results of the study were summed up to build a set of indicators designed to provide a comprehensive picture of the main factors provoking energy poverty in Ukraine. It is argued that further use of the proposed method will enable for the adequate assessment of the scales and the depth of the energy poverty of Ukrainian households for elaborating effective measures to protect vulnerable population strata. It also emphasized that regular monitoring of energy poverty cannot be implemented with a reliable database that is yet to be created in Ukraine.","PeriodicalId":52812,"journal":{"name":"Statistika Ukrayini","volume":null,"pages":null},"PeriodicalIF":0.0,"publicationDate":"2021-06-24","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"43186075","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":"The Targeted Approach in Implementing the Industrial Policy of Ukraine in the Conditions of the Increasing Import Dependence","authors":"O. Salikhova, O. Krekhivskyi","doi":"10.31767/su.2(93)2021.02.05","DOIUrl":"https://doi.org/10.31767/su.2(93)2021.02.05","url":null,"abstract":"The global practice of the target approach in implementing the innovation policy in industry is analyzed. It is shown that this approach has long been relied upon by the Chinese government in carrying out the certification of high tech enterprises. The criteria by which high tech enterprises in China are identified are revealed. It is found that the companies with the granted certificate have a number of preferences from the government, e. g.: preferential regime for tax on profit; exemption from or reduction of tax on profit of the qualified income from technology transfer; accelerated depreciation of fixed assets; priority in the issuance of permit on office or industrial lands; subsidies for rental payments; prolongation of the period for carrying forward business losses; priority in the assistance from government support funds at all the levels. It is shown that the Chinese government used the targeted approach to stop the spread of COVID-19 epidemic and halt the rapid industry decline, by charging the National Commission on Development and Reforms and the Ministry of Industry and Information Technologies with the responsibility for making the nomenclature of business entities engaged in the manufacturing of medical protective clothing, insulating clothing, medical and protective civil masks, COVID testing, sterilizers; procurement and storage of medical materials; information and communication equipment and service systems for reaction on the epidemic, as well as the companies taking on the assignments on transportation and sales of the materials. Pursuant to this Directive, nomenclatures of key companies were created in China, for implementing measures on prevention and control of epidemics (the national nomenclature and local nomenclatures). This approach allowed public authorities to exchange information about the condition of these companies and financial preferences and preferential loans provided to them. \u0000It is shown that the need for implementing the targeted approach in building up high tech industries was substantiated in Ukraine as early as in 2010, but in spite of the arguments and successful analogous practice in China the proposed targeted approach is yet to be launched. The following measures would be expedient in Ukraine in the conditions of crisis caused by COVID-19 epidemic and in view of the growing dependence on imports of certain categories of goods, hence, the increasing threats to the industry development: elaborate a methodology for identification of advanced technology products and create, on its basis, the Ukrainian State Register of High Tech Industrial Goods; identify high tech goods for industrial purposes (intermediate and capital ones), which ensure continuous operation of Ukrainian companies, with making up their Nomenclature; elaborate methodological tools for qualifying business entities – residents of Ukraine as high tech ones, and create, on its basis, the Ukrainian State Register of High Tech Industrial C","PeriodicalId":52812,"journal":{"name":"Statistika Ukrayini","volume":null,"pages":null},"PeriodicalIF":0.0,"publicationDate":"2021-06-23","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"41356619","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":"Evolution of Methodological Approaches to Evaluating the Efficiency of the Activities of Research Organizations in Ukraine","authors":"І. Zhukovych, I. Yehorov","doi":"10.31767/su.2(93)2021.02.01","DOIUrl":"https://doi.org/10.31767/su.2(93)2021.02.01","url":null,"abstract":"The evolution of methodological approaches for evaluation of efficiency of different scientific institutions used in Ukraine is considered. The analysis of current regulatory acts and the methodological approach to state certification and evaluation of the activities of scientific institutions, which has been used after gaining the independence, indicates their orientation on a system of quantitative parameters. Evaluation of the effectiveness of a scientific institution’s activities by a single indicator based on complex and ambiguously defined calculations does not meet international standards, which are implemented in the EU countries. \u0000In order to implement measures, mentioned in the Concept of Development of the National Academy of Sciences of Ukraine for 2014-2023, different approach to evaluation of activities of scientific institutions, was applied in the National Academy of Sciences of Ukraine (NASAU). \u0000The introduced Methodology for evaluating the effectiveness of scientific institutions of the National Academy of Sciences of Ukraine is based on the methods, principles and approaches to assessment, defined in the Leiden manifesto of the leading specialists on scientometrics. According to this methodology, procedure of assessment could not be reduced to the utilization of selected quantitative indicators only, despite their importance. In the NASAU, the adoption of evaluation results is carried out on the basis of a qualitative analysis, which covers various aspects of the activities of the institution and its divisions. It is executed by the independent experts, who are specialists in scientific areas of the institution’s activities and who have high reputation among their colleagues. \u0000The main differences between two approaches to the evaluation methods, which are used today in Ukraine to assess the activities of scientific institutions of the National Academy of Sciences of Ukraine, are considered. The results obtained are analyzed and compared. The positive aspects of evaluating scientific institutions of NASU through expert judgment are identified, and the problems that arise during the assessment procedure are assessed. \u0000As a conclusion, shift from determining the results of the activities of scientific institutions by calculating a single indicator provides an opportunity for experts to evaluate institutions as a whole and their divisions, taking into account the uniqueness and specific features, which depend on the scientific disciplines and research areas. This also opens the way to determine the development prospects and place of the research institutions in the national and international ‘scientific map’.","PeriodicalId":52812,"journal":{"name":"Statistika Ukrayini","volume":null,"pages":null},"PeriodicalIF":0.0,"publicationDate":"2021-06-16","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"48319897","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}