{"title":"对俄罗斯各地区服务部门状况的一般评估","authors":"A. B. Voloskov","doi":"10.25205/2542-0429-2020-20-2-50-67","DOIUrl":null,"url":null,"abstract":"The article describes one of the possible methods for a generalized assessment of the state of the service sector in the regions, based on the use of the principal component method. For calculations, a matrix was formed that included indicators characterizing the state or level of development of the service sector in the country's regions from 2005 to 2018. Based on the results of the component analysis, 7 main components were identified whose statistical indicators for the highest factor loads allowed them to be correctly interpreted into generalized indicators. According to the normalized values of these indicators, five groups of regions from regions with low to regions with a high level of development of the service sector were identified according to a certain rule. The calculations made it possible to draw a conclusion about the average level of development of the service sector as a whole throughout the country on a Russian scale. The place and level of development of services in the Altai Territory is described in detail.","PeriodicalId":344304,"journal":{"name":"Wem-water Engineering & Management","volume":"18 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"1900-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":"{\"title\":\"A Generalized Assessment of the State of the Service Sector in the Regions of Russia\",\"authors\":\"A. B. Voloskov\",\"doi\":\"10.25205/2542-0429-2020-20-2-50-67\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"The article describes one of the possible methods for a generalized assessment of the state of the service sector in the regions, based on the use of the principal component method. For calculations, a matrix was formed that included indicators characterizing the state or level of development of the service sector in the country's regions from 2005 to 2018. Based on the results of the component analysis, 7 main components were identified whose statistical indicators for the highest factor loads allowed them to be correctly interpreted into generalized indicators. According to the normalized values of these indicators, five groups of regions from regions with low to regions with a high level of development of the service sector were identified according to a certain rule. The calculations made it possible to draw a conclusion about the average level of development of the service sector as a whole throughout the country on a Russian scale. The place and level of development of services in the Altai Territory is described in detail.\",\"PeriodicalId\":344304,\"journal\":{\"name\":\"Wem-water Engineering & Management\",\"volume\":\"18 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\":\"Wem-water Engineering & Management\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.25205/2542-0429-2020-20-2-50-67\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"Wem-water Engineering & Management","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.25205/2542-0429-2020-20-2-50-67","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
A Generalized Assessment of the State of the Service Sector in the Regions of Russia
The article describes one of the possible methods for a generalized assessment of the state of the service sector in the regions, based on the use of the principal component method. For calculations, a matrix was formed that included indicators characterizing the state or level of development of the service sector in the country's regions from 2005 to 2018. Based on the results of the component analysis, 7 main components were identified whose statistical indicators for the highest factor loads allowed them to be correctly interpreted into generalized indicators. According to the normalized values of these indicators, five groups of regions from regions with low to regions with a high level of development of the service sector were identified according to a certain rule. The calculations made it possible to draw a conclusion about the average level of development of the service sector as a whole throughout the country on a Russian scale. The place and level of development of services in the Altai Territory is described in detail.