{"title":"俄罗斯联邦各地区创新发展的非参数相关性评价结果","authors":"T. Averina","doi":"10.12737/2587-9111-2022-10-6-51-54","DOIUrl":null,"url":null,"abstract":"The article presents an assessment of the relationship of qualitative indicators characterizing the degree of innovative development of regions and the level of labor productivity. As an analytical tool, the Pearson criterion was used to assess the correlation of nonparametric indicators. The study resulted in a conclusion about a positive correlation, which is important for the analysis of programs for the long-term development of regions.","PeriodicalId":114770,"journal":{"name":"Scientific Research and Development. Economics","volume":"31 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2022-11-14","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":"{\"title\":\"The Results of Non-Parametric Correlation Assessment of the Innovative Development of the Regions of the Russian Federation\",\"authors\":\"T. Averina\",\"doi\":\"10.12737/2587-9111-2022-10-6-51-54\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"The article presents an assessment of the relationship of qualitative indicators characterizing the degree of innovative development of regions and the level of labor productivity. As an analytical tool, the Pearson criterion was used to assess the correlation of nonparametric indicators. The study resulted in a conclusion about a positive correlation, which is important for the analysis of programs for the long-term development of regions.\",\"PeriodicalId\":114770,\"journal\":{\"name\":\"Scientific Research and Development. Economics\",\"volume\":\"31 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2022-11-14\",\"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/10.12737/2587-9111-2022-10-6-51-54\",\"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/10.12737/2587-9111-2022-10-6-51-54","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
The Results of Non-Parametric Correlation Assessment of the Innovative Development of the Regions of the Russian Federation
The article presents an assessment of the relationship of qualitative indicators characterizing the degree of innovative development of regions and the level of labor productivity. As an analytical tool, the Pearson criterion was used to assess the correlation of nonparametric indicators. The study resulted in a conclusion about a positive correlation, which is important for the analysis of programs for the long-term development of regions.
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