Auditors' Opinions and Tax Aggressiveness in Brazilian Companies
DOI:
https://doi.org/10.5380/rcc.v16i3.97376Abstract
This study examines the influence of independent auditors' opinions on the tax aggressiveness of companies listed on the Brazilian stock exchange (B3) from 2017 to 2022. Tax aggressiveness, viewed as corporate strategies to reduce tax burdens, is measured through three key metrics: book-tax differences (BTD), effective tax rate (ETR), and tax rate on value added (TTVA). The study analyzes the length, readability, and tone of auditors' opinions to determine whether these factors correlate with tax aggressiveness. The findings indicate that informational variables, such as opinion length, readability, and tone, do not show significant correlations with tax aggressiveness metrics. This suggests that the standardization of audit reports, mandated by regulatory practices, may limit auditors' ability to reflect specific nuances in companies' tax practices. Nevertheless, the tone of the opinion showed slight potential to reveal implicit perceptions about companies’ tax strategies, hinting at an indirect relationship between tone and tax aggressiveness. The study underscores the need for diverse methods and measures when assessing corporate tax management. While standardized reports may limit the detail provided on tax practices, qualitative aspects like tone could offer subtle insights. These findings encourage further research to explore alternative methods, including advanced linguistic analysis, to capture nuances in audit opinions and their potential links to tax strategies.
Downloads
Published
How to Cite
Issue
Section
License
Copyright (c) 2025 Revista Contabilidade e Controladoria - RC&C

This work is licensed under a Creative Commons Attribution-NonCommercial-NoDerivatives 4.0 International License.
Works published in RC&C. Revista de Contabilidade e Controladoria are made available under the Creative Commons Attribution-NonCommercial-NoDerivatives 4.0 International (CC BY-NC-ND 4.0) license.
This license allows the works to be copied, downloaded, shared, and redistributed, provided that:
1) authorship is duly attributed and the original source of the publication is indicated, including, where applicable, the journal name, authors, URL, and the work's DOI;
2) the material is not used for commercial purposes; and
3) the content is not altered, transformed, or adapted, nor are modifications or derivative works based on the published work distributed.
The license does not restrict other uses permitted under applicable law, including those arising from copyright limitations or exceptions.







