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dc.contributor.authorGinevičius, Romualdas
dc.contributor.authorNazarko, Joanicjusz
dc.contributor.authorGedvilaitė, Dainora
dc.contributor.authorDacko-Pikiewicz, Zdislawa
dc.date.accessioned2023-09-18T20:43:05Z
dc.date.available2023-09-18T20:43:05Z
dc.date.issued2021
dc.identifier.issn1212-3609
dc.identifier.urihttps://etalpykla.vilniustech.lt/handle/123456789/151971
dc.description.abstractThe welfare of a country depends on its economic development. In order to have the impact on it, we should have a possibility to quantitatively assess its situation at the desired point in time. Economic development, as a multifaceted and complex phenomenon, is reflected in two dimensions – intensity and uniformity. These mentioned above can be viewed as partial indicators of dynamics. Two main approaches to measuring development uniformity can be distinguished. In one of the cases, it is measured on the basis of an index that includes the main results of the country’s economic development. In the other case, the values of the indicators reflecting all the essential development actions are combined in one appropriate way. From a scientific point of view, the second approach is more accurate as it allows for a better assessment of the complex nature of a country’s economic development. On the other hand, its application today is still problematic due to the fact that the models for this differ in terms of both the number and composition of indicators. For this reason, it is not possible to compare countries. Therefore, in international practice, the economic development of countries is measured by gross domestic product per capita (GDP). Based on GDP indicator, the method for the measurement of uniformity is proposed and the essence of which is the ratio of the length of the ideal trajectory of the development during the period under review to the length of the actual trajectory. Without ruling out the appropriateness of such an approach for assessing development uniformity, it makes sense to look for alternative methods. In this sense, methods that allow assessment of the extent of fluctuations of the phenomenon under consideration as an essential feature of development dynamics are suitable. These include the Gini coefficient, which is determined from the Lorenz curve.eng
dc.formatPDF
dc.format.extentp. 55-65
dc.format.mediumtekstas / txt
dc.language.isoeng
dc.relation.isreferencedbySocial Sciences Citation Index (Web of Science)
dc.relation.isreferencedbyScopus
dc.relation.isreferencedbyEconLit
dc.relation.isreferencedbyCabell's
dc.relation.isreferencedbyIBSS: International Bibliography of the Social Sciences
dc.source.urihttps://dspace.tul.cz/bitstream/handle/15240/159929/EM_1_2021_04.pdf?sequence=1&isAllowed=y
dc.titleQuantifying the economic development dynamics of a country based on the lorenz curve
dc.typeStraipsnis Web of Science DB / Article in Web of Science DB
dcterms.licenseCreative Commons – Attribution – NonCommercial – 4.0 International
dcterms.references19
dc.type.pubtypeS1 - Straipsnis Web of Science DB / Web of Science DB article
dc.contributor.institutionVilniaus Gedimino technikos universitetas
dc.contributor.institutionBialystok University of Technology
dc.contributor.institutionVilniaus kolegija
dc.contributor.institutionWSB University
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.enCountry economic development
dc.subject.enquantification of dynamics of economic development
dc.subject.enGini coefficient, Lorenz curve.
dcterms.sourcetitleE&M economics and management
dc.description.issueiss. 1
dc.description.volumevol. 24
dc.publisher.nameTechnická Univerzita v Liberci
dc.identifier.doi000630436900004
dc.identifier.doi10.15240/tul/001/2021-1-004
dc.identifier.elaba88454398


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