Ranking the Factors Affecting the Level of Tax Compliance within the Framework of Comprehensive Tax Plan

سال انتشار: 1405
نوع سند: مقاله ژورنالی
زبان: انگلیسی
مشاهده: 18

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شناسه ملی سند علمی:

JR_IJAAF-10-3_002

تاریخ نمایه سازی: 17 مهر 1405

چکیده مقاله:

According to this study, one of the most significant information technology projects of Iran's National Tax Administration (INTA) is the comprehensive tax plan, which considers the factors influencing tax compliance. In this research, the factors affecting tax compliance, including accounting variables (internal factors) and environmental conditions (external factors), were evaluated and ranked using decision tree algorithms. This study employed a longitudinal firm–year dataset (panel data) and analyzed it using machine-learning techniques rather than panel econometric models. The comparison of decision tree models revealed that the variables influencing tax compliance, in descending order of importance, were disclosure quality, board remuneration, the percentage of free-float shares, government ownership and influence in firms, cash-holding level, income smoothing, and firm size. The ranking of influential variables in this study provided valuable guidance for regulatory and supervisory institutions seeking to enhance tax compliance. Moreover, the findings indicated an evaluative indicator of the implementation level of the comprehensive tax plan, which can be used to assess the performance of the Iranian National Tax Administration and for future research.

نویسندگان

Rahman Sajadpour

Department of Accounting, Faculty of Administrative Sciences and Economics, University of Isfahan, Isfahan, Iran

Mehdi Arab Salehi

Department of Accounting, Faculty of Administrative Sciences and Economics, University of Isfahan, Isfahan, Iran

Iraj Kazemi

Department Of Statistics, Faculty Of Mathematics And Statistics, University of Isfahan, Isfahan, Iran

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  • Abdelfattah, T. and Aboud, A. (۲۰۲۰). Tax avoidance, corporate governance, ...
  • Zhang, L., Gu, Y., Yu, Y. and Pan, L. (۲۰۲۵). ...
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