dc.rights.license | Kūrybinių bendrijų licencija / Creative Commons licence | en_US |
dc.contributor.author | Freimanis, Kristaps | |
dc.contributor.author | Šenfelde, Maija | |
dc.date.accessioned | 2024-11-26T07:21:25Z | |
dc.date.available | 2024-11-26T07:21:25Z | |
dc.date.issued | 2021 | |
dc.date.submitted | 2021-03-01 | |
dc.identifier.uri | https://etalpykla.vilniustech.lt/handle/123456789/155874 | |
dc.description.abstract | Purpose – In the field of the economics’ regulation researchers so far have built the conceptual framework showing how the deadweight loss of market failures decrease and costs of the government intervention increase with the increased level of the government intervention. In order to quantify relationships between the level of intervention, intervention costs and the deadweight loss with econometric models it is important to understand how to quantify the regulation costs as a part of intervention costs. The objective of the research presented in this paper is to find the appropriate methodology for the quantification of the regulation costs in the banking market. Research methodology – literature review (regarding theories), mathematical methods for quantification and econometric methods for validation purposes. Findings – research shows that in the assessment of regulation costs three main stakeholders should be included – microprudential regulator, macroprudential regulator and financial regulation’s policy maker. Research presents their cost assessment methodology. Its validation shows that in general methodology works as expected, i.e., higher government intervention levels lead to higher regulation costs, however this general rule has exceptions, which in authors’ view indicates that other factors have an impact on the cost levels. Research limitations – research shows how to assess the costs of main stakeholders based on the publicly available information. More precise view could be obtained if in the cooperation with authorities more details on certain cost items are received. Practical implications – research results will be used to assess all government intervention costs (other positions include compliance costs and other indirect costs) and finalize the quantification of the framework. Quantified framework could be used for more precise policy making regarding the regulation of the banking market. Originality/Value – research shows how to quantify the regulation costs of the banking market as currently there are only conceptual ideas. | en_US |
dc.description.sponsorship | Katrīne Ustinoviča | en_US |
dc.format.extent | 8 p. | en_US |
dc.format.medium | Tekstas / Text | en_US |
dc.language.iso | en | en_US |
dc.relation.uri | https://etalpykla.vilniustech.lt/handle/123456789/155629 | en_US |
dc.rights | Attribution 4.0 International | * |
dc.rights.uri | http://creativecommons.org/licenses/by/4.0/ | * |
dc.source.uri | http://cibmee.vgtu.lt/index.php/verslas/2021/paper/view/600 | en_US |
dc.subject | banking market | en_US |
dc.subject | deadweight loss | en_US |
dc.subject | intervention costs | en_US |
dc.subject | market regulation | en_US |
dc.subject | regulation costs | en_US |
dc.title | Methodology for the assessment of regulation costs in the banking market | en_US |
dc.type | Konferencijos publikacija / Conference paper | en_US |
dcterms.accessRights | Laisvai prieinamas / Openly available | en_US |
dcterms.accrualMethod | Rankinis pateikimas / Manual submission | en_US |
dcterms.alternative | Contemporary financial management | en_US |
dcterms.dateAccepted | 2021-04-01 | |
dcterms.issued | 2021-05-14 | |
dcterms.license | CC BY | en_US |
dcterms.references | 46 | en_US |
dc.description.version | Taip / Yes | en_US |
dc.contributor.institution | Riga Technical University | en_US |
dcterms.sourcetitle | International Scientific Conference „Contemporary Issues in Business, Management and Economics Engineering ‘2021“ | en_US |
dc.identifier.eisbn | 9786094762604 | en_US |
dc.identifier.eissn | 2538-8711 | en_US |
dc.publisher.name | Vilnius Gediminas Technical University | en_US |
dc.publisher.name | Vilniaus Gedimino technikos universitetas | en_US |
dc.publisher.country | Lithuania | en_US |
dc.publisher.country | Lietuva | en_US |
dc.publisher.city | Vilnius | en_US |
dc.identifier.doi | https://doi.org/10.3846/cibmee.2021.600 | en_US |