To punish or not to punish?: the impact of tax fraud punishment on observers' tax compliance
This article synthesizes insights from deterrence theory and social psychology literature on retributive justice to develop and test a theoretical model which predicts how and why observers' tax compliance intentions are influenced by knowledge of the punitive outcomes faced by individuals foun...
| Authors: | ; |
|---|---|
| Format: | Electronic Article |
| Language: | English |
| Check availability: | HBZ Gateway |
| Journals Online & Print: | Drawer...
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| Fernleihe: | Fernleihe für die Fachinformationsdienste |
| Published: |
Springer
2023
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| In: |
Journal of business ethics
Year: 2023, Volume: 183, Issue: 1, Pages: 289-311 |
| Further subjects: | B
Tax compliance
B Punishment reactions B Aufsatz in Zeitschrift B Fraud B Responsibility B Affective reactions B Punishment deservingness B Retributive Justice |
| Online Access: |
Volltext (lizenzpflichtig) Volltext (lizenzpflichtig) |
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| 520 | |a This article synthesizes insights from deterrence theory and social psychology literature on retributive justice to develop and test a theoretical model which predicts how and why observers' tax compliance intentions are influenced by knowledge of the punitive outcomes faced by individuals found guilty of tax fraud. We test our model experimentally on a sample of Canadian taxpayers and manipulate perceived responsibility for a fraud and whether a fraud perpetrator is punished. We show that observers' tax compliance increases when a fraud perpetrator is punished only when the perpetrator is perceived as blameworthy. The psychological process through which this positive influence operates is relatively complex, as it includes perceptions of punishment deservingness and affect. We also find that tax compliance decreases when a tax fraud perpetrator is unpunished, regardless of perceived blameworthiness. Our results are robust when we control for economic determinants known to influence fraud. The article concludes by discussing our findings' implications for fraud research and policy. | ||
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