scholarly journals Science. Technology. Innovation

Author(s):  
Leonid Gokhberg ◽  
Kirill Ditkovskiy ◽  
Evgeniya Evnevich ◽  
Maxim Kotsemir ◽  
Irina Kuznetsova ◽  
...  

This pocket data book contains main S&T and innovation indicators for the Russian Federation. The publication includes the most recent statistical data on R&D input and output, as well as international comparisons. The data book includes information of the Russian Federal State Statistics Service, Ministry of Science and Higher Education of the Russian Federation, Russian Federal Service for Intellectual Property (Rospatent), Organisation for Economic Co-operation and Development (OECD), European Statistical Office (Eurostat), UNESCO, World Intellectual Property Organisation (WIPO), national statistical offices of other countries, and results of own methodological and analytical studies of the HSE Institute for Statistical Studies and Economics of Knowledge. In some cases, 2019 data are preliminary.

2020 ◽  
Author(s):  
Leonid Gokhberg ◽  
Kirill Ditkovskiy ◽  
Evgeniya Evnevich ◽  
Maxim Kotsemir ◽  
Irina Kuznetsova ◽  
...  

This pocket data book contains main S&T and innovation indicators for the Russian Federation. The publication includes the most recent statistical data on R&D input and output, as well as international comparisons. The data book includes information of the Russian Federal State Statistics Service, Ministry of Science and Higher Education of the Russian Federation, Russian Federal Service for Intellectual Property (Rospatent), Organisation for Economic Co-operation and Development (OECD), European Statistical Office (Eurostat), UNESCO, World Intellectual Property Organisation (WIPO), national statistical offices of other countries, and results of own methodological and analytical studies of the HSE Institute for Statistical Studies and Economics of Knowledge. In some cases, the presented data specify those published earlier.


2018 ◽  
Author(s):  
Natalia Gorodnikova ◽  
Leonid Gokhberg ◽  
Kirill Ditkovskiy ◽  
Irina Kuznetsova ◽  
Evgeniya Lukinova ◽  
...  

The pocket data book contains main indicators characterizing S&T and innovation potential of the Russian Federation. There are the information about intellectual property, S&T output, data of international comparisons given. The data book includes information of the Federal State Statistics Service, Federal Service for Intellectual Property, Organisation for Economic Co-operation and Development (OECD), Eurostat, UNESCO, World Intellectual Property Organisation, national statistical services of foreign countries, and results of own methodological and analytical studies of the HSE Institute for Statistical Studies and Economics of Knowledge. In some cases, the presented data specify those published earlier.


2019 ◽  
Author(s):  
Leonid Gokhberg ◽  
Kirill Ditkovskiy ◽  
Maxim Kotsemir ◽  
Irina Kuznetsova ◽  
Evgeniya Lukinova ◽  
...  

The pocket data book contains main indicators characterizing S&T and innovation potential of the Russian Federation. There are the information about intellectual property, S&T output, data of international comparisons given. The data book includes information of the Federal State Statistics Service, Federal Service for Intellectual Property, Organisation for Economic Co-operation and Development (OECD), Eurostat, UNESCO, World Intellectual Property Organisation, national statistical services of foreign countries, and results of own methodological and analytical studies of the HSE Institute for Statistical Studies and Economics of Knowledge. In some cases, the presented data specify those published earlier.


Author(s):  
Gulnara Abdrakhmanova ◽  
Anna Demyanova ◽  
Yury Dranev ◽  
Ekaterina Dyachenko ◽  
Svetlana Fridlyanova ◽  
...  

The pocket data book contains main digital economy indicators for the Russian Federation. Contains information on the use of ICT by individuals and enterprises, e-government development, personnel for digital economy, telecommunications and ICT sector development. International comparisons are provided for a number of indicators. The data book includes information of the Federal State Statistics Service (Rosstat), the Ministry of Digital Development, Communications and Mass Media of the Russian Federation, the Ministry of Education and Science of the Russian Federation, Bank of Russia, OECD, Eurostat, ITU, World Intellectual Property Organisation, and results of own methodological and analytical studies of the HSE Institute for Statistical Studies and Economics of Knowledge.


2016 ◽  
Author(s):  
Gulnara Abdrakhmanova ◽  
Elena Chernovich ◽  
Natalia Gorodnikova ◽  
Leonid Gokhberg ◽  
Galina Kovaleva ◽  
...  

The pocket data book contains main indicators characterizing S&T, innovation and Information Society in the Russian Federation. The data book includes information of the Federal State Statistics Service, Federal Service for Intellectual Property, Organisation for Economic Co-operation and Development (OECD), Eurostat, UNESCO, World Intellectual Property Organisation, national statistical services of foreign countries, and results of own methodological and analytical studies of the HSE Institute for Statistical Studies and Economics of Knowledge. In some cases, the presented data specify those published earlier.


2020 ◽  
Author(s):  
Gulnara Abdrakhmanova ◽  
Konstantin Vishnevskiy ◽  
Leonid Gokhberg ◽  
Anna Demyanova ◽  
Marina Kevesh ◽  
...  

This pocket data book contains the most recent statistical data representing the level and dynamics of the digital economy development in the Russian Federation. International comparisons are provided for a number of indicators. The data book includes information of the Ministry of Digital Development, Communications and Mass Media of the Russian Federation, Russian Federal State Statistics Service (Rosstat), Russian Central Bank (Bank of Russia), Organisation for Economic Co-operation and Development (OECD), European Statistical Office (Eurostat), International Telecommunication Union (ITU), United Nations Conference on Trade and Development (UNCTAD), World Intellectual Property Organisation (WIPO), and results of own methodological and analytical studies of the HSE Institute for Statistical Studies and Economics of Knowledge.


2021 ◽  
Author(s):  
Gulnara Abdrakhmanova ◽  
Konstantin Vishnevskiy ◽  
Leonid Gokhberg ◽  
Olga Demidkina ◽  
Anna Demyanova ◽  
...  

This pocket data book contains the most recent statistical data representing the level and dynamics of the digital economy development in the Russian Federation. International comparisons are provided for a number of indicators. The data book includes information of the Ministry of Digital Development, Communications and Mass Media of the Russian Federation, Russian Federal State Statistics Service (Rosstat), Russian Central Bank (Bank of Russia), Organisation for Economic Co-operation and Development (OECD), European Statistical Office (Eurostat), International Telecommunication Union (ITU), United Nations Conference on Trade and Development (UNCTAD), UN Department of Economic and Social Affairs, World Intellectual Property Organisation (WIPO), Scopus database, and results of own methodological and analytical studies of the HSE Institute for Statistical Studies and Economics of Knowledge. In some cases, the presented data specify those published earlier.


2021 ◽  
Author(s):  
Leonid Gokhberg ◽  
Olga Ozerova ◽  
Elena Sautina ◽  
Tatiana Sutyrina ◽  
Nikolay Sсhugal

This pocket data book contains the main indicators describing the development trends of general, secondary vocational, higher education, vocational training, and additional education in the Russian Federation. The publication also covers key education indicators for the OECD countries. The data book includes information of the Federal State Statistics Service, Ministry of Education of the Russian Federation, Ministry of Science and Higher Education of the Russian Federation, Federal Treasury, Organisation for Economic Co-operation and Development (OECD), as well as results of methodological and analytical studies of the HSE Institute for Statistical Studies and Economics of Knowledge.


2020 ◽  
Vol 8 (3) ◽  
pp. 59-64
Author(s):  
I. Darymov ◽  
Aleksandr Kalyanov

The article raises such an acute problem as the disproportionate change in population growth with rising inflation. The relevance of this problem cannot raise any questions. Sometimes people ask the question: “Why is there not enough money for food, although, relatively speaking, it was enough before?” The economy of our country is going through difficult times. The fall in world oil prices has an impact on the Russian ruble, which is especially important in connection with the latest developments in the world. These and other questions are devoted to issues related to the growth of the population of the Russian Federation, and the opportunity to buy them. The research base is the website of the Federal State Statistics Service, which should use personal observations and knowledge. In preparing the articles, methods of correlation analysis using group statistical data were applied and the regression model was built on their basis. The authors proposed ideas for solving global problems in the entire economic system of the Russian Federation.


2020 ◽  
Vol 28 (4) ◽  
pp. 754-777
Author(s):  
Natalia A. Simakova

Introduction. Improving the quality of the population is an important task for socio-economic development of the Russian Federation as a whole, as well as for its individual regions. Improvements in quality characteristics of the population can only be achieved by raising the quality and standard of living. The aim of this study is to identify the dependence of the quality of the population on the level of socio-economic development in a region and on the solution of socio-demographic problems (taking the Penza Region as an example). Materials and Methods. An analysis of statistical data from the Federal State Statistics Service for the Russian Federation and the Penza Region for 2005‒2018 was carried out. The methods of systems approach, comparative and demographic analysis, generalization, and statistical analysis were used to study the quality of population at the regional level. Results. Based on the analysis of primary statistical data, a high level of dependence of the quality of population of the Penza Region on demographic and socio-economic indicators of the region’s development has been identified and substantiated. The quality of the population of the Penza Region has been compared with other regions of Russia at the current stage and over time. The changes in the quality of population have revealed positive trends: an increase in the overall birth rate, reduction in the overall mortality rate, increasing natural growth rate of the population and life expectancy, growth of educational level of the population. At the same time, the natural growth rate of the population of the Penza Region has been much lower than the average level in Russia and below the indicators in the majority of constituent entities of the Volga Federal District, which is the most acute problem. Discussion and Conclusion. To date, the quality of the population of the Penza Region is a consequence of the increase in the level and quality of life in the region over the past 15 years, but in many respects it remains below the average Russian level. The results of this study can be used by the government of the Penza Region and other constituent entities of the Russian Federation when making decisions in the field of demographic and socio-economic policies.


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