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Tax Non-Compliance and Perceptions of Corruption

Policy Implications for Developing Countries

Bibliographic Data

ID8416802
AuthorsArifin Rosid (0000-0002-0304-1575, Ministry of Foreign Affairs), Chris Evans (0000-0002-4197-4202, UNSW Sydney), Binh Tran-Nam, Binh Tran‐Nam (0000-0001-5516-7762, RMIT Vietnam)
Year2018
Volume54
Issue1
Pages25-60
Publication date2018-01-02
Peer ReviewedYes
Open AccessNo
TypeARTICLE
VenueBulletin of Indonesian Economic Studies (JOURNAL)
Journal identifiersISSN: 0007-4918 • E-ISSN: 1472-7234
PublisherInforma UK Limited (PUBLISHER • GB)
DOI10.1080/00074918.2017.1364349
OpenAlexW2744258110
LanguageEN
Citations received11
References cited37

Tax non-compliance and perceptions of corruption are key challenges to state-building in developing countries. Using a social psychology approach, we develop a theoretical model in which different forms of perceived corruption can adversely influence the way individual taxpayers behave. We then apply this model to Indonesia, placing our empirical findings in the context of compliance risk management, identifying strategies to improve tax compliance, and exploring how to implement these strategies effectively. We shed light on the applicability of the traditional responsive regulatory approach (used by revenue authorities to deal with intentionally non-compliant taxpayers), which combines measures in attempting to achieve either voluntary or enforced compliance. While the empirical evidence is based on the Indonesian experience, we suggest that our model is sufficiently general and robust to be applicable to other developing countries in the Asia-Pacific region

Business · Compliance (psychology) · Context (archaeology) · Developing country · Economic growth · Economics · Empirical evidence · Empirical research · Language change · Perception · Public economics · Revenue · Tax revenue · Accounting · Corporate Taxation and Avoidance · Islamic Finance and Banking Studies · Psychology · Social Psychology · Taxation and Compliance Studies

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Unique citing works11
Citations per year2,2
Citation span2021 - 2026 (6)
Citation velocitycurrent
Highly citedNo
Citation typesNeutral: 10

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