Investigating the Impact of Factors Affecting Tax Avoidance and Presenting an Optimal Tax Avoidance Prevention Model

The present study was an attempt to investigate the impact of some factors on tax avoidance and present an optimal tax avoidance prevention model. The study is quantitative in terms of approach and falls within the category of library and documentary studies in terms of data collection method. Since the present library study is conducted using the real data of companies, the required data were collected from various sources such as financial statements, compact discs of the stock exchange market, the software developed by Tadbir pardaz IT group and the Rahavard-e Novin software. The population of the study includes 99 active companies listed on Tehran Stock Exchange. Accordingly, the financial data collected during 2008-2020 from companies listed on the Tehran Stock Exchange was annually studied. The researcher presented his final model after estimating 21 regressions using the Stepwise method. The results suggest that company complexity, corporate governance, accounting variables (quality of disclosure, fraudulent financial reporting, liquidity and intangible assets) and accounting income variables (quality of accruals, earning transparency and dividends) have a significant effect on tax avoidance.