{"title":"Changing significance of Russian regions’ research and technology capacity components","authors":"I. Peker","doi":"10.5922/2079-8555-2022-3-9","DOIUrl":null,"url":null,"abstract":"This article offers data that can be used in comparative studies of research and technology capacity at the level of Russian regions. The database comprises six indicators of the development of personnel-related and financial components of a national research and technology system and research results as evinced in research publications and advanced manufacturing technologies that appeared in 2010—2020. This set of interconnected indicators makes it possible to evaluate Russian regions’ research and technology capacity and research output, which affect the degree of development of the innovative environment. The data on regional research output may be of assistance to further regional socio-economic research. The data set includes statistical indicators for 85 Russian regions for 2010—2020, as reported by ROSSTAT. The data on the number off publications and variations therein were obtained from Scopus, the largest unified curated multidisciplinary abstract and citation database. The results are presented as tables and cartographical materials (three tables and six map charts).","PeriodicalId":43257,"journal":{"name":"Baltic Region","volume":null,"pages":null},"PeriodicalIF":0.7000,"publicationDate":"2022-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"Baltic Region","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.5922/2079-8555-2022-3-9","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q2","JCRName":"AREA STUDIES","Score":null,"Total":0}
引用次数: 0
Abstract
This article offers data that can be used in comparative studies of research and technology capacity at the level of Russian regions. The database comprises six indicators of the development of personnel-related and financial components of a national research and technology system and research results as evinced in research publications and advanced manufacturing technologies that appeared in 2010—2020. This set of interconnected indicators makes it possible to evaluate Russian regions’ research and technology capacity and research output, which affect the degree of development of the innovative environment. The data on regional research output may be of assistance to further regional socio-economic research. The data set includes statistical indicators for 85 Russian regions for 2010—2020, as reported by ROSSTAT. The data on the number off publications and variations therein were obtained from Scopus, the largest unified curated multidisciplinary abstract and citation database. The results are presented as tables and cartographical materials (three tables and six map charts).