Rodyti trumpą aprašą

dc.rights.licenseKūrybinių bendrijų licencija / Creative Commons licenceen_US
dc.contributor.authorGasparėnienė, Ligita
dc.contributor.authorRemeikienė, Rita
dc.date.accessioned2024-04-22T13:39:49Z
dc.date.available2024-04-22T13:39:49Z
dc.date.issued2016
dc.identifier.issn2029-4441en_US
dc.identifier.urihttps://etalpykla.vilniustech.lt/handle/123456789/154050
dc.description.abstractThis article is aimed at the ascertainment of whether the determinants of digital shadow economy are included in the methods of traditional shadow economy estimation. The results of the research have disclosed that the methods of shadow economy estimation consider general economic, monetary, money turnover, electricity and energy consumption, labour market, taxation, legal, and societal variables. However, the determinants of digital shadow economy are not included in the methods of shadow economy estimation, which not only impedes understanding of the real scopes of this phenomenon, but also complicates development of the measures aimed at digital shadow economy investigation and prevention.en_US
dc.format.extent8 p.en_US
dc.format.mediumTekstas / Texten_US
dc.language.isoenen_US
dc.relation.urihttps://etalpykla.vilniustech.lt/handle/123456789/154000en_US
dc.rightsAttribution 4.0 International*
dc.rights.urihttp://creativecommons.org/licenses/by/4.0/*
dc.source.urihttps://bm.vilniustech.lt/index.php/verslas/2016/paper/view/35en_US
dc.subjectshadow economyen_US
dc.subjectdigital shadow economyen_US
dc.subjectestimation methodsen_US
dc.subjectdirect methodsen_US
dc.subjectindirect methodsen_US
dc.subjectmodelsen_US
dc.titleShadow economy estimation methods: digital shadow economy assessment aspecten_US
dc.typeKonferencijos publikacija / Conference paperen_US
dcterms.accessRightsLaisvai prieinamas / Openly availableen_US
dcterms.accrualMethodRankinis pateikimas / Manual submissionen_US
dcterms.alternativeEnterprise managementen_US
dcterms.issued2016-05-13
dcterms.licenseCC BYen_US
dcterms.references31en_US
dc.description.versionTaip / Yesen_US
dc.contributor.institutionMykolas Romeris Universityen_US
dcterms.sourcetitle9th International Scientific Conference “Business and Management 2016”en_US
dc.identifier.eisbn9786094579219en_US
dc.identifier.eissn2029-929Xen_US
dc.publisher.nameVilnius Gediminas Technical Universityen_US
dc.publisher.nameVilniaus Gedimino technikos universitetasen_US
dc.publisher.countryLithuaniaen_US
dc.publisher.countryLietuvaen_US
dc.publisher.cityVilniusen_US
dc.description.fundingorganizationResearch Council of Lithuaniaen_US
dc.description.grantnumberMIP-15642en_US
dc.identifier.doihttps://doi.org/10.3846/bm.2016.34en_US


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Rodyti trumpą aprašą

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