اثر فرار مالیاتی بر مودیان، حسابرسان مالیاتی و شاخصهای کلان اقتصادی | ||
| مطالعات بین رشتهای اقتصاد | ||
| دوره 1، شماره 1، فروردین 1404، صفحه 89-114 اصل مقاله (1.26 M) | ||
| نوع مقاله: مقاله پژوهشی | ||
| شناسه دیجیتال (DOI): 10.22091/ise.2025.12736.1025 | ||
| نویسندگان | ||
| محسن مقری گردرودباری1؛ ایمان داداشی* 2؛ بهرام محسنی ملکی3 | ||
| 1دکتری حسابداری، اداره کل امور مالیاتی مازندران، ساری، ایران. | ||
| 2استادیار گروه حسابداری، دانشکده علوم اقتصادی و اداری، دانشگاه قم، قم، ایران | ||
| 3استادیار حسابداری، دانشکده علوم اقتصادی و اداری، دانشگاه مازندران، بابلسر، ایران. | ||
| چکیده | ||
| در بین انواع منابع دولت، مالیات بهعنوان منبع دائمی و قابل پیشبینی، همواره مورد توجه دولتمردان بوده است. همچنین، اخذ مالیات به تخصیص منابع، توزیع مجدد درآمد، تصحیح اثرات خارجی منفی و حمایت از صنایع داخلی کوچک منجر میگردد. در مقابل، یکی از مهمترین مشکلات نظام مالیاتی در عمده کشورهای دنیا، فرار مالیاتی مودیان شامل هرگونه تلاش غیرقانونی بهمنظور عدم پرداخت مالیات است. مسأله پیش رو، بررسی پیامدهای فرار مالیاتی مودیان حقوقی در سطح کلان اقتصادی، مودیان و حسابرسان مالیاتی است. برای پاسخ به این مسأله ابتدا شاخصهای فرار مالیاتی و پیامدهای آن با استفاده از مبانی نظری، پیشینه پژوهش و شاخصهای مورد استفاده توسط کشورها و سازمانهای بین المللی شناسایی گردید. شاخصهای استخراج شده برای نظرخواهی در اختیار خبرگان مالیاتی قرار داده شده و در نهایت، بر روی شاخصهای کلیدی اجماع کسب گردید. سرانجام، مجموعهای شامل 57 شاخص فرار مالیاتی و 36 شاخص پیامدهای فرار مالیاتی در سطوح کلان اقتصادی، مودیان مالیاتی و حسابرسان مالیاتی در نمونهای متشکل از 964 پرونده مالیاتی اشخاص حقوقی اداره کل امور مالیاتی مازندران برای سالهای 1391 لغایت 1398 با رویکرد تحلیل عاملی و با استفاده از نرم افزار اسمارت پی ال اس مورد بررسی قرار گرفته است. نتایج حاصل از بررسی دادهها نشان داد که فرار مالیاتی تأثیر مثبت و معناداری بر پیامدهای مورد بررسی در هر سه سطح دارد. | ||
| کلیدواژهها | ||
| فرار مالیاتی؛ داده کلان اقتصادی؛ مودیان مالیاتی؛ حسابرسان مالیاتی؛ رویکرد تحلیل عاملی | ||
| عنوان مقاله [English] | ||
| The effect of tax evasion on taxpayers, tax auditors and macroeconomic indicators | ||
| نویسندگان [English] | ||
| Mohsen Moghri Gerdroudbari1؛ Iman Dadashi2؛ Bahram Mohseni Maleki3 | ||
| 1PhD in Accounting, Mazandaran Tax Affairs Organization, Sari, Iran. | ||
| 2Assistant Professor, Department of Accounting, Faculty of Economics Sciences and Administrative, University of Qom, Qom, Iran. | ||
| 3Assistant Professor of Accounting, Faculty of Economics Sciences and Administrative, university of Mazandaran, Babolsar, Iran. | ||
| چکیده [English] | ||
| Among the types of government resources, tax as a permanent and predictable resource has always been the concern of statesmen. Also, taxation leads to allocation of resources, redistribution of income, correction of negative externalities and support of small domestic industries. In contrast to one of the most important problems of the tax system in most countries of the world, tax evasion by taxpayers includes any illegal attempt to avoid paying taxes. The upcoming issue is to investigate the consequences of tax evasion of legal taxpayers at the macroeconomic level, taxpayers and tax auditors. In order to answer this problem, first, tax evasion indicators and its consequences were identified using theoretical foundations, research background and indicators used by countries and international organizations. The extracted indicators were provided to tax experts for their opinion and finally consensus was obtained on the key indicators. Finally, a collection including 57 indicators of tax evasion and 36 indicators of the consequences of tax evasion at the macroeconomic levels, taxpayers and tax auditors in a sample of 964 tax files of legal entities of the Mazandaran General Administration of Tax Affairs for the years 2013 to 2020 with a factor analysis approach and It has been analyzed using Smart PLS software. The results of the data analysis showed that tax evasion has a positive and significant effect on the investigated outcomes at all three levels. | ||
| کلیدواژهها [English] | ||
| tax evasion, economic big data, taxpayers, tax auditors, factor analysis approach | ||
| مراجع | ||
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Abdixhiku,l., Krasniqi, B., Pugh, G,. & Hashi, I. (2017). Firm -level Determinants of Tax Evasion in Transition Economies. Economic Systems. 41 (3): 354 -366. Abdi, M., Hosseini, A., & Gholam Abri, A. (2022). Shock modeling of variables affecting stock return forecasting using a hybrid approach of (BMA-BVAR) models. Economic Modeling, 59(16), 87-112. (in persian) Amiri, M R., & Rahmani, S. (2024). The current situation and the future direction of tax evasion in Iran from the perspective of future studies. qjfep; 11 (44) :189-216. (in persian). Bolouri, A., Moradi, M., & Yazdani, H Y. (2021). Designing a Model for Analyzing Structural Interpretation of Factors Affecting Income Tax Evasion of Legal Persons. J Tax Res; 29 (49) :83-108. (in persian). Barclay, D. W. Higgins, C. & Thompson, R. (1995). The Partial Last Squares (PLS) Approach to Causal Modelling, Personal Computer Adoption and Use as an Illustration. Technology Studies, 2 (2): 285-309. Butt, M. N., Malik, Q. A., Waheed, A., & Tabassum, A. H. (2021). Tax Planning, Financial Constraints and Investment Management: Empirical Evidence from Pakistan. The Journal of Asian Finance, Economics and Business, 8(12), 129–139. Cronbach LJ, Shavelson RJ. My current thoughts on coefficient alpha and successor procedures. (2004). Educational and Psychological Measurement. 64(3): 391-418. Desai, M.A., & Dharmapala, D. (2006). Corporate Tax Avoidance and High Powered Incentives. Journal of Financial Economics, 79(1).145-179. Desai, M.A., & Dharmapala, D. (2006). Earnings management, corporate tax shelters, and booktax alignment. National Tax Journal, 62, 169-186. dehghan, S., Mousavi Jahromi, Y., & abdoli, G. (2018). Prospect Theory; New Approach in Explaining Tax Evasion Phenomenon. Journal of Economic Research (Tahghighat- E- Eghtesadi), 53(1), 1-23. (in persian). Direct Tax Law, (2015). Research Center of the Islamic Consultative Assembly.https://rc.majlis.ir/fa/law/show/91488. Fornell, C. & Larcker, D. (1981). Structural Equation Models with Unobservable Variables and Measurement Error. Journal of Marketing Research, 18 (1): 39-50. Graham, J., & Tucker, A. (2006). Tax shelters and corporate debt policy. Journal of Financial and Economic, 81(3),: 563-594. Hulland, J, (1999). Use of partial least squares (PLS) in strategic management research: a review of four recent studies. Strategic management journal,20,195-204. Khalil, S. and Sidani, Y. (2020 ). The Influence of Religiosity onTaxEvasionAttitudes in Lebanon. Journal of International Accounting, Auditing and Taxation. 40: 220 235. Moghri Gardroudbari, M., Dadashi, I., Mohseni Malek, B. I., & Zabihi, A. (2023). Predicting Tax Evasion of Legal Taxpayers with an Emphasis on Economic Components, Taxpayers and Auditors Characteristics; Relying on Artificial Intelligence. J Tax Res; 31 (58) :131-164 .(in persian) Magner, N. Welker, R. B. & Campbell, T. L. (1996). Testing a Model of Cognitive Budgetary Participation Processes in a Latent Variable Structural Equations Framework. Accounting and Business Research, 27 (1): 41-50. Moosavi, R., aghaei chadegani, A., & Kamali, E. (2024). Designing a model for using big data in the field of taxation of natural persons in order to prevent tax evasion. Governmental Accounting, 10(1), 207-224. (in persian) Nunnally, J. C. (1978). Psychometric theory (2nd ed.). New York: McGraw-Hill Nguyen, T. H. (2022). The Impact of non-economic factors on voluntarys tax compliance behavior: a case study of small and medium enterprises in Vietnam. Economies, 10(8), 163-179. Rainone, E. (2023). Tax evasion policies and the demand for cash. Journal of Macroeconomics, 35-76. (in persian) Sayam, H., Amin Rashti, N., Mehrabian, A., & Seifipour, R.(2023). Investigating the factors affecting tax evasion in high-tax companies using the nonlinear impact method. Applied Economics, 44(13), 19-35. (in persian) Smith, KW., & Stalans, LJ. (1991) Encouraging tax compliance w ith positive incentives: a conceptual f ramew ork and research directions. Law Soc. 13, 35-53. Taghinezhad, V., & Nikpoor, M. (2014). Underground Economy and its causes: a Case Study of Iran. Journal of Applied Economics Studies in Iran, 2(8), 53-72.(in persian) Tenenhaus, M., Amato, S., & Esposito Vinzi, V. (2004). A global goodness-offit index for PLS structural equation modeling, Proceedings of the XLII SIS Scientific Meeting, Contributed Papers, CLEUP, Padova, 739–742. Vatavu, S, Lobont, Oana-R, Stefea, P, Brindescue-Olaru, D. (2019). How taxes relate to potential welfare gain and appreciable economic growth. Sustainability, 11: 1-16. Wetzels, A. (2009). Using pls Path Mdeling for Assessing Hierarchical Construct Models. MIS Quarterly, 33: 177 -195 . Yamen, A., Amir, E., Ahmad, B., & Ali, U. (2018). Impact of Institutional Environment Quality on Tax Evasion: A Comparative Investigation of Old Versus New EU Members. Journal of International Accounting, Auditing and Taxation, 32: 17 -29. Zimmerman, J .(1983). Taxes and Firm Size. Journal of Accounting & Economic, 5, 119– 149. | ||
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