{"title":"利用判别模型评估俄罗斯各地区的创新发展潜力","authors":"Tatyana Averina","doi":"10.12737/2587-9111-2024-12-1-9-12","DOIUrl":null,"url":null,"abstract":"The article is the result of continuing work on discriminant analysis of innovative development of regions of the Russian Federation. Testing of the previously constructed discriminant model revealed its applicability for an integral assessment of the regions’ innovative potential. The greatest impact on the region’s ranking position exerted by the share of capital expenditures on technological innovation in the volume of gross regional product. This assessment characterizes to greater extent investments in development and depends on both the costs of innovation and the value of GRP.","PeriodicalId":114770,"journal":{"name":"Scientific Research and Development. Economics","volume":"7 9","pages":""},"PeriodicalIF":0.0000,"publicationDate":"2024-02-16","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":"{\"title\":\"Assessing the Potential for Innovative Development of Russian Regions Using a Discriminant Model\",\"authors\":\"Tatyana Averina\",\"doi\":\"10.12737/2587-9111-2024-12-1-9-12\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"The article is the result of continuing work on discriminant analysis of innovative development of regions of the Russian Federation. Testing of the previously constructed discriminant model revealed its applicability for an integral assessment of the regions’ innovative potential. The greatest impact on the region’s ranking position exerted by the share of capital expenditures on technological innovation in the volume of gross regional product. This assessment characterizes to greater extent investments in development and depends on both the costs of innovation and the value of GRP.\",\"PeriodicalId\":114770,\"journal\":{\"name\":\"Scientific Research and Development. Economics\",\"volume\":\"7 9\",\"pages\":\"\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2024-02-16\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"Scientific Research and Development. Economics\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.12737/2587-9111-2024-12-1-9-12\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"Scientific Research and Development. Economics","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.12737/2587-9111-2024-12-1-9-12","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
Assessing the Potential for Innovative Development of Russian Regions Using a Discriminant Model
The article is the result of continuing work on discriminant analysis of innovative development of regions of the Russian Federation. Testing of the previously constructed discriminant model revealed its applicability for an integral assessment of the regions’ innovative potential. The greatest impact on the region’s ranking position exerted by the share of capital expenditures on technological innovation in the volume of gross regional product. This assessment characterizes to greater extent investments in development and depends on both the costs of innovation and the value of GRP.
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