Artikel

Evaluating public administration approaches towards tax non-compliance in Europe

Those engaging in tax non-compliance have been conventionally explained as rational economic actors partaking when the benefits outweigh the costs, and thus public administrations have sought to enforce compliance using a deterrence approach which increases the risk of detection and penalties. However, many have been found to not engage in tax non-compliance when the benefits exceed the costs. The result has been the emergence of a voluntary compliance approach viewing taxpayers as social actors who engage in tax non-compliance when there is a lack of vertical trust (in governments) and horizontal trust (in others). Using a probit regression analysis of data from special Eurobarometer surveys conducted in 2007, 2013 and 2019, the finding is that although the likelihood of participating in tax non-compliance is largely not associated with the level of penalties and risk of detection, it is significantly associated with the level of vertical and horizontal trust, with participation in tax non-compliance increasing with lower vertical and horizontal trust. The implications for theory and for how public administrations tackle tax non-compliance are then discussed.

Sprache
Englisch

Erschienen in
Journal: Administrative Sciences ; ISSN: 2076-3387 ; Volume: 10 ; Year: 2020 ; Issue: 3 ; Pages: 1-15 ; Basel: MDPI

Klassifikation
Öffentliche Verwaltung
Thema
European Union
fiscal justice
informal sector
institutional theory
public policy
social actor theory
tax awareness
tax co-responsibility
tax commitment
tax evasion
tax morale
undeclared work

Ereignis
Geistige Schöpfung
(wer)
Williams, Colin
Ereignis
Veröffentlichung
(wer)
MDPI
(wo)
Basel
(wann)
2020

DOI
doi:10.3390/admsci10030043
Handle
Letzte Aktualisierung
10.03.2025, 11:44 MEZ

Datenpartner

Dieses Objekt wird bereitgestellt von:
ZBW - Deutsche Zentralbibliothek für Wirtschaftswissenschaften - Leibniz-Informationszentrum Wirtschaft. Bei Fragen zum Objekt wenden Sie sich bitte an den Datenpartner.

Objekttyp

  • Artikel

Beteiligte

  • Williams, Colin
  • MDPI

Entstanden

  • 2020

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