Rodyti trumpą aprašą

dc.contributor.authorSkvarciany, Viktorija
dc.contributor.authorJurevičienė, Daiva
dc.contributor.authorVolskytė, Gintarė
dc.date.accessioned2023-09-18T20:19:44Z
dc.date.available2023-09-18T20:19:44Z
dc.date.issued2020
dc.identifier.urihttps://etalpykla.vilniustech.lt/handle/123456789/148886
dc.description.abstractThere are still debates in the scientific literature about the factors influencing countries’ sustainable socioeconomic development. Therefore, the current article aims at determining the factors of sustainable socioeconomic development and assessing its level in the EU countries. The following methods were employed for the research: an evaluation based on distance from average solution (EDAS) and hierarchical cluster analysis (HCA). EDAS was used to reveal which countries have the highest level of sustainable socioeconomic development, and which have the lowest. The ranking was done based on the appraisal score, which is an outcome of EDAS. Hierarchical cluster analysis (HCA) was used for clustering the countries based on the appraisal scores in order to distinguish groups of countries having a similar level of sustainable socioeconomic development. The results revealed that the highest level of sustainable socioeconomic development is in Germany, and the lowest in Portugal. Based on HCA, the countries were divided into three groups. The first cluster’s countries have the weakest sustainable socioeconomic development, and countries assigned to the third cluster have the best. In the current research, the third cluster consists of one country, Germany, which supports the results obtained with the EDAS method, i.e., Germany is the country with the highest level of sustainable socioeconomic development in the EU.lit
dc.formatPDF
dc.format.extentp. 1-19
dc.format.mediumtekstas / txt
dc.language.isoeng
dc.relation.isreferencedbyScience Citation Index Expanded (Web of Science)
dc.relation.isreferencedbySocial Science Research Network
dc.relation.isreferencedbyScopus
dc.relation.isreferencedbyChemical abstracts
dc.relation.isreferencedbyINSPEC
dc.relation.isreferencedbyDOAJ
dc.relation.isreferencedbyRePec
dc.relation.isreferencedbyGEOBASE
dc.relation.isreferencedbyGenamics Journal Seek
dc.relation.isreferencedbyCABI - CAB Abstracts
dc.rightsLaisvai prieinamas internete
dc.source.urihttps://doi.org/10.3390/su12051986
dc.source.urihttps://www.mdpi.com/2071-1050/12/5/1986
dc.source.urihttps://talpykla.elaba.lt/elaba-fedora/objects/elaba:52569471/datastreams/MAIN/content
dc.titleAssessment of sustainable socioeconomic development in European Union countries
dc.typeStraipsnis Web of Science DB / Article in Web of Science DB
dcterms.accessRightsThis article is an open access article distributed under the terms and conditions of the Creative Commons Attribution (CC BY) license (http://creativecommons.org/licenses/by/4.0/).
dcterms.references40
dc.type.pubtypeS1 - Straipsnis Web of Science DB / Web of Science DB article
dc.contributor.institutionVilniaus Gedimino technikos universitetas
dc.contributor.facultyVerslo vadybos fakultetas / Faculty of Business Management
dc.subject.researchfieldS 004 - Ekonomika / Economics
dc.subject.vgtuprioritizedfieldsEV02 - Aukštos pridėtinės vertės ekonomika / High Value-Added Economy
dc.subject.ltspecializationsL103 - Įtrauki ir kūrybinga visuomenė / Inclusive and creative society
dc.subject.ltsustainable development
dc.subject.ltsocioeconomic development
dc.subject.ltmulticriteria decision-making approach (MCDA)
dc.subject.ltevaluation based on distance from average solution (EDAS)
dc.subject.lthierarchical cluster analysis (HCA).
dcterms.sourcetitleSustainability
dc.description.issueiss. 5
dc.description.volumevol. 12
dc.publisher.nameMDPI
dc.publisher.cityBasel
dc.identifier.doi000522470900287
dc.identifier.doi10.3390/su12051986
dc.identifier.elaba52569471


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