| dc.contributor.author | Remeikienė, Rita | |
| dc.contributor.author | Gasparėnienė, Ligita | |
| dc.contributor.author | Chadyšas, Viktoras | |
| dc.contributor.author | Cepel, Martin | |
| dc.date.accessioned | 2023-09-18T17:07:18Z | |
| dc.date.available | 2023-09-18T17:07:18Z | |
| dc.date.issued | 2018 | |
| dc.identifier.issn | 1611-1699 | |
| dc.identifier.uri | https://etalpykla.vilniustech.lt/handle/123456789/119889 | |
| dc.description.abstract | This article is aimed at identification of the shadow economy’s causal factors and indicators in 19 Eurozone member states over the period from 2005 to 2016. Application of the MIMIC model has allowed to identify the following causal factors of the shadow economy in the Eurozone: employment rate, gender wage gap and income inequalities (expressed as the GINI index). All of these causal factors of the shadow economy in the Eurozone are attributable to the group of labour market determinants, which proposes that a reasonably arranged labour market mechanism can substantially diminish the probability of the shadow economy emergence. On the other hand, it has been found that the level of the shadow economy determines a positive/negative degree of the public trust in the EU authorities. The novelty of the research lies in the disclosure of the main causal factors of the shadow economy in the geographical area that covers different countries with a single currency. The findings of this research may contribute to the development of the shadow economy reduction strategies in 19 Eurozone member states. | eng |
| dc.format | PDF | |
| dc.format.extent | p. 777-796 | |
| dc.format.medium | tekstas / txt | |
| dc.language.iso | eng | |
| dc.relation.isreferencedby | ICONDA | |
| dc.relation.isreferencedby | Business Source Complete | |
| dc.relation.isreferencedby | Scopus | |
| dc.relation.isreferencedby | Social Sciences Citation Index (Web of Science) | |
| dc.rights | Laisvai prieinamas internete | |
| dc.source.uri | https://doi.org/10.3846/jbem.2018.6276 | |
| dc.source.uri | https://talpykla.elaba.lt/elaba-fedora/objects/elaba:33448438/datastreams/MAIN/content | |
| dc.title | Identification of the shadow economy determinants for the Eurozone member states: application of the MIMIC model | |
| dc.type | Straipsnis Web of Science DB / Article in Web of Science DB | |
| dcterms.accessRights | This is an Open Access article distributed under the terms of the Creative Commons Attribution License (http://creativecommons.org/licenses/by/4.0/) | |
| dcterms.references | 58 | |
| dc.type.pubtype | S1 - Straipsnis Web of Science DB / Web of Science DB article | |
| dc.contributor.institution | Lietuvos agrarinės ekonomikos institutas | |
| dc.contributor.institution | Vilniaus Gedimino technikos universitetas | |
| dc.contributor.institution | LIGS University LLC Honolulu | |
| dc.contributor.faculty | Fundamentinių mokslų fakultetas / Faculty of Fundamental Sciences | |
| dc.subject.researchfield | N 001 - Matematika / Mathematics | |
| dc.subject.researchfield | S 004 - Ekonomika / Economics | |
| dc.subject.vgtuprioritizedfields | EV02 - Aukštos pridėtinės vertės ekonomika / High Value-Added Economy | |
| dc.subject.ltspecializations | L103 - Įtrauki ir kūrybinga visuomenė / Inclusive and creative society | |
| dc.subject.en | shadow economy | |
| dc.subject.en | the MIMIC model | |
| dc.subject.en | Eurozone member states | |
| dc.subject.en | causal factors | |
| dc.subject.en | indicators | |
| dc.subject.en | labour market determinants | |
| dcterms.sourcetitle | Journal of business economics and management | |
| dc.description.issue | iss. 6 | |
| dc.description.volume | vol. 19 | |
| dc.publisher.name | VGTU Press | |
| dc.publisher.city | Vilnius | |
| dc.identifier.doi | 2-s2.0-85059757147 | |
| dc.identifier.doi | 000455254000001 | |
| dc.identifier.doi | 10.3846/jbem.2018.6276 | |
| dc.identifier.elaba | 33448438 | |