Statistical analysis of the scientific potential of the Russian Federation regions
The main indicators, characterizing the scientific potential of the regions of the Russian Federation, have been considered. The distribution of organizations, performing research and development, as well as personnel employed in them, by region, has been analyzed. Particular attention has been paid...
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Publishing House of the State University of Management
2019
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oai:doaj.org-article:b0466cbf7f2d46f29b52e371357c8ac32021-12-03T07:43:29ZStatistical analysis of the scientific potential of the Russian Federation regions1816-42772686-841510.26425/1816-4277-2019-8-131-138https://doaj.org/article/b0466cbf7f2d46f29b52e371357c8ac32019-09-01T00:00:00Zhttps://vestnik.guu.ru/jour/article/view/1658https://doaj.org/toc/1816-4277https://doaj.org/toc/2686-8415The main indicators, characterizing the scientific potential of the regions of the Russian Federation, have been considered. The distribution of organizations, performing research and development, as well as personnel employed in them, by region, has been analyzed. Particular attention has been paid to the characteristics of the scope of variation and uniformity of the number of personnel per organization, engaged in research and development in the subjects of the Russian Federation. The analysis of the availability of academic degrees of candidate and doctor of sciences in scientific personnel in the regions of the country has been made. Attention to the assessment of the dynamics of the number of organizations, training postgraduate and doctoral students, has been paid.M. R. EfimovaE. A. DolgikhPublishing House of the State University of Managementarticlescientific potentialresearch and developmentcategories of personnelacademic degreescientific personnelregional analysisSociology (General)HM401-1281Economics as a scienceHB71-74RUВестник университета, Vol 0, Iss 8, Pp 131-138 (2019) |
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scientific potential research and development categories of personnel academic degree scientific personnel regional analysis Sociology (General) HM401-1281 Economics as a science HB71-74 |
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scientific potential research and development categories of personnel academic degree scientific personnel regional analysis Sociology (General) HM401-1281 Economics as a science HB71-74 M. R. Efimova E. A. Dolgikh Statistical analysis of the scientific potential of the Russian Federation regions |
description |
The main indicators, characterizing the scientific potential of the regions of the Russian Federation, have been considered. The distribution of organizations, performing research and development, as well as personnel employed in them, by region, has been analyzed. Particular attention has been paid to the characteristics of the scope of variation and uniformity of the number of personnel per organization, engaged in research and development in the subjects of the Russian Federation. The analysis of the availability of academic degrees of candidate and doctor of sciences in scientific personnel in the regions of the country has been made. Attention to the assessment of the dynamics of the number of organizations, training postgraduate and doctoral students, has been paid. |
format |
article |
author |
M. R. Efimova E. A. Dolgikh |
author_facet |
M. R. Efimova E. A. Dolgikh |
author_sort |
M. R. Efimova |
title |
Statistical analysis of the scientific potential of the Russian Federation regions |
title_short |
Statistical analysis of the scientific potential of the Russian Federation regions |
title_full |
Statistical analysis of the scientific potential of the Russian Federation regions |
title_fullStr |
Statistical analysis of the scientific potential of the Russian Federation regions |
title_full_unstemmed |
Statistical analysis of the scientific potential of the Russian Federation regions |
title_sort |
statistical analysis of the scientific potential of the russian federation regions |
publisher |
Publishing House of the State University of Management |
publishDate |
2019 |
url |
https://doaj.org/article/b0466cbf7f2d46f29b52e371357c8ac3 |
work_keys_str_mv |
AT mrefimova statisticalanalysisofthescientificpotentialoftherussianfederationregions AT eadolgikh statisticalanalysisofthescientificpotentialoftherussianfederationregions |
_version_ |
1718373528722472960 |