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dc.contributor.authorPopov, E.en
dc.contributor.authorVlasov, M.en
dc.date.accessioned2021-08-31T14:59:04Z-
dc.date.available2021-08-31T14:59:04Z-
dc.date.issued2019-
dc.identifier.citationPopov E. Cluster analysis of the relationship between traditional and innovation economies / E. Popov, M. Vlasov. — DOI 10.34190/KM.19.043 // Proceedings of the European Conference on Knowledge Management, ECKM. — 2019. — Vol. 2. — P. 860-868.en
dc.identifier.isbn9781912764327-
dc.identifier.issn20488963-
dc.identifier.otherFinal2
dc.identifier.otherAll Open Access, Bronze, Green3
dc.identifier.otherhttps://www.scopus.com/inward/record.uri?eid=2-s2.0-85073355429&doi=10.34190%2fKM.19.043&partnerID=40&md5=389411db773be99a77a364a1d78fd8b2
dc.identifier.otherhttps://doi.org/10.34190/km.19.043m
dc.identifier.urihttp://elar.urfu.ru/handle/10995/101694-
dc.description.abstractUnder contemporary conditions, programmes for the socio-economic development of Russian regions are increasingly relevant due to the necessity of a coordinating element between the Federal target programmes that operate on the territories of Federal Subjects and the target programmes of the Federal Subject itself. When creating an effective system for managing the development and implementation of regional socio-economic development programmes, it is necessary to proceed according to a unified method that is in conformity with government socio-economic development priorities. Regional economic policy essentially depends on a particular region's innovative potential, which, in turn, predetermines its further socio-economic development. In order to determine specific influence of socio-cultural factors involved in traditional approaches to the economic management of regions where the indigenous peoples are predominantly supported through innovative development, the authors conducted a cluster analysis of the regions of the Russian Federation. The study revealed the relationship between indicators of support for traditional activities and those aimed at supporting innovation activities. The amount of funding for ongoing programmes that support traditional activities affects the birth rate in the corresponding region. It is precisely among indigenous people, who are closely associated with traditional activities, that one of the main values is marriage and children. As might be expected, efforts to support this part of the region's population lead to a reduction in the divorce rate. However, along with this, a certain “inhibition” of economic and innovative development can be detected. Therefore, when designing support for these regions, it is necessary to direct additional efforts to support precisely these problem areas. The studied regions were combined into three clusters. The regions of the first cluster are characterised by the extent to which social and economic development indicators are harmonised. Regions of the second cluster (in which only organisations supporting traditional livelihoods are developed) are characterised by high birth rates and low divorce rates. Regions of the third cluster (regions in which only organisations supporting innovation are developed) are characterised by positive innovation and economic development indicator values. It is also worth noting that this corresponds to the highest value of the “number of people with higher education” indicator. Along with the positive points, this cluster is also distinguished by negatives: the largest number of divorces per 1000 people and the lowest birth rates. The cluster analysis of traditional and innovative economies allows us to formulate the directions of development of economic systems for the formation of harmonious relations between traditional structures and innovative approaches to conducting economic activity. © 2019 Academic Conferences Limited. All rights reserved.en
dc.format.mimetypeapplication/pdfen
dc.language.isoenen
dc.publisherAcademic Conferences Limiteden
dc.rightsinfo:eu-repo/semantics/openAccessen
dc.sourceProc. Eur. Conf. Knowl. Manage., ECKM2
dc.sourceProceedings of the European Conference on Knowledge Management, ECKMen
dc.subjectCLUSTER ANALYSISen
dc.subjectECONOMIC DEVELOPMENTen
dc.subjectINNOVATIVE ECONOMYen
dc.subjectSOCIALen
dc.subjectCLUSTER ANALYSISen
dc.subjectECONOMIC ANALYSISen
dc.subjectKNOWLEDGE MANAGEMENTen
dc.subjectPOPULATION STATISTICSen
dc.subjectREGIONAL PLANNINGen
dc.subjectECONOMIC DEVELOPMENTen
dc.subjectINNOVATIVE ECONOMYen
dc.subjectSOCIALen
dc.subjectSOCIAL AND ECONOMIC DEVELOPMENTen
dc.subjectSOCIO-ECONOMIC DEVELOPMENTen
dc.subjectSOCIOCULTURAL FACTORSen
dc.subjectTRADITIONAL APPROACHESen
dc.subjectTRADITIONAL STRUCTURESen
dc.subjectECONOMIC AND SOCIAL EFFECTSen
dc.titleCluster analysis of the relationship between traditional and innovation economiesen
dc.typeConference Paperen
dc.typeinfo:eu-repo/semantics/conferenceObjecten
dc.typeinfo:eu-repo/semantics/publishedVersionen
dc.identifier.doi10.34190/KM.19.043-
dc.identifier.scopus85073355429-
local.contributor.employeePopov, E., Ural Federal University, Ekaterinburg, Russian Federation
local.contributor.employeeVlasov, M., Ural Federal University, Ekaterinburg, Russian Federation, Institute of Economics, Ural Branch of the Russian Academy of Sciences, Ekaterinburg, Russian Federation
local.description.firstpage860-
local.description.lastpage868-
local.volume2-
local.contributor.departmentUral Federal University, Ekaterinburg, Russian Federation
local.contributor.departmentInstitute of Economics, Ural Branch of the Russian Academy of Sciences, Ekaterinburg, Russian Federation
local.identifier.pure11100502-
local.identifier.pure335e57bd-4206-4010-b5a2-261546ca4817uuid
local.identifier.eid2-s2.0-85073355429-
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