Tax aggressiveness as a determining factor of conditional conservatism in Brazil
DOI:
https://doi.org/10.1590/1808-057x20221484.enKeywords:
accounting conservatism, tax aggressiveness, tax income, effective tax rateAbstract
This paper investigates whether the degree of tax aggressiveness is associated with conditional conservatism in Brazil. After a thorough literature review on accounting conservatism by Brazilian academia and a discussion about tax aggressiveness and accounting conservatism, a literature gap was found because the relationship between a firm’s degree of tax aggressiveness and its conditional conservatism had not been investigated previously. Taxable income has a relationship with accounting income in the Brazilian corporate income tax system. Hence, tax planning can affect financial information properties. This study offers a partial explanation of accounting conservatism based on tax issues that contribute to the conservatism and taxation literature. The results suggest that tax strategies that aim to avoid tax burden are related to conditional conservative accounting. Hence, the practice of conditional conservatism in Brazil appears to be linked with tax-deductible alternatives of reducing earnings, which would explain tax planning’s association with the degree of conditional conservatism in financial reporting. This finding is relevant to financial reporting users that can consider our results in their analysis and to management that seeks to understand their decisions about tax planning better. For this research purpose, two Basu models (Basu, 1997) were adopted, adapted with tax-aggressiveness controls. The effective tax rate (ETR) was used as a tax-aggressiveness metric, controlling firms with both high and low ETR. The study period was from 2010 to 2019 for Brazilian firms from B3 S.A. – Brasil, Bolsa, Balcão (B3). The findings demonstrate a significant relationship between tax avoidance and conditional conservatism, that is, more tax-aggressive firms tend to use more conservative accounting.
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