{"title":"ASSESSMENT OF THE DIGITAL POTENTIAL OF RUSSIAN REGIONS","authors":"Alla Vadimovna Beltikova","doi":"10.31453/kdu.ru.978-5-7913-1191-7-2021-82-93","DOIUrl":null,"url":null,"abstract":"The article deals with the problem of developing the digital competitiveness of Russian regions. For this purpose, the main indicators that characterize the digital environment of the regions were identified. A new index of the development of digital competitiveness of the regions was proposed. Clustering made it possible to rank regions according to the degree of development of the digital environment, to identify groups of leading and outsider regions, and to build a map of their distribution.","PeriodicalId":423826,"journal":{"name":"Научные исследования и инновации. Материалы VIII Международной научно-практической конференции: сборник статей, [электронное издание сетевого распространения] / Под ред. Н.В. Емельянова. – М.: “КДУ”, “Добросвет”, 2021. – 226 с.","volume":"199 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"1900-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"Научные исследования и инновации. Материалы VIII Международной научно-практической конференции: сборник статей, [электронное издание сетевого распространения] / Под ред. Н.В. Емельянова. – М.: “КДУ”, “Добросвет”, 2021. – 226 с.","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.31453/kdu.ru.978-5-7913-1191-7-2021-82-93","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 0
Abstract
The article deals with the problem of developing the digital competitiveness of Russian regions. For this purpose, the main indicators that characterize the digital environment of the regions were identified. A new index of the development of digital competitiveness of the regions was proposed. Clustering made it possible to rank regions according to the degree of development of the digital environment, to identify groups of leading and outsider regions, and to build a map of their distribution.