COVID-19 policy actions, trust in government and tax compliance intentions: a study of the British self-employment income support scheme
COVID-19 policy actions, trust in government and tax compliance intentions: a study of the British self-employment income support scheme
While the importance of fostering individual taxpayers’ (hereafter taxpayers) trust in government to encourage tax compliance is widely acknowledged, how policy actions can increase trust in government remains unclear. Thus, the main purpose of our research is to see whether policy actions that signal government benevolence during a crisis can quickly increase trust in government, and its positive implications for tax compliance intentions. Another goal of our research is to see whether such a quick change of trust is driven by emotions. To test this, we use the British COVID-19 Self-Employment Income Support Scheme (hereafter SEISS) as a natural experiment. Right after the SEISS was launched to the British public, we recruited a sample of 500 British self-employed taxpayers via Prolific. Our results suggest that receiving (vs. not receiving) government support increases trust in government and enhances tax compliance intentions. In addition, trust in government mediates the positive impact of receiving (vs. not receiving) government support on tax compliance intentions. More important, our results suggest that policy actions that signal government benevolence during a crisis can increase trust in government quickly because it is driven by taxpayers’ emotions such as gratitude. These results have important implications for governments to efficiently deal with the sharp rise in public debts caused by the COVID-19 pandemic.
Emotion, Natural experiment, Tax compliance, Trust
Chen, Zhifeng
4c98f5ee-e403-4af1-ac24-c048e92c4709
Hang, Haiming
5473d6b2-3bb1-4c8d-b9f2-16480bc941ba
Wang, Weisha
3b06920a-f578-41b8-a356-7e2da53d3bf6
23 January 2024
Chen, Zhifeng
4c98f5ee-e403-4af1-ac24-c048e92c4709
Hang, Haiming
5473d6b2-3bb1-4c8d-b9f2-16480bc941ba
Wang, Weisha
3b06920a-f578-41b8-a356-7e2da53d3bf6
Chen, Zhifeng, Hang, Haiming and Wang, Weisha
(2024)
COVID-19 policy actions, trust in government and tax compliance intentions: a study of the British self-employment income support scheme.
Journal of Business Ethics.
(doi:10.1007/s10551-023-05595-7).
Abstract
While the importance of fostering individual taxpayers’ (hereafter taxpayers) trust in government to encourage tax compliance is widely acknowledged, how policy actions can increase trust in government remains unclear. Thus, the main purpose of our research is to see whether policy actions that signal government benevolence during a crisis can quickly increase trust in government, and its positive implications for tax compliance intentions. Another goal of our research is to see whether such a quick change of trust is driven by emotions. To test this, we use the British COVID-19 Self-Employment Income Support Scheme (hereafter SEISS) as a natural experiment. Right after the SEISS was launched to the British public, we recruited a sample of 500 British self-employed taxpayers via Prolific. Our results suggest that receiving (vs. not receiving) government support increases trust in government and enhances tax compliance intentions. In addition, trust in government mediates the positive impact of receiving (vs. not receiving) government support on tax compliance intentions. More important, our results suggest that policy actions that signal government benevolence during a crisis can increase trust in government quickly because it is driven by taxpayers’ emotions such as gratitude. These results have important implications for governments to efficiently deal with the sharp rise in public debts caused by the COVID-19 pandemic.
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COVID-19 policy actions trust in gov and tax compliance intentions
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Accepted/In Press date: 6 December 2023
Published date: 23 January 2024
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© 2024, The Author(s), under exclusive licence to Springer Nature B.V.
Keywords:
Emotion, Natural experiment, Tax compliance, Trust
Identifiers
Local EPrints ID: 487583
URI: http://eprints.soton.ac.uk/id/eprint/487583
ISSN: 0167-4544
PURE UUID: f56ee2fa-e2d4-45e5-8c03-4075f2cef619
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Date deposited: 27 Feb 2024 20:43
Last modified: 05 Jun 2024 18:42
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Author:
Haiming Hang
Author:
Weisha Wang
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