The Relation Between Operational Efficiency and Tax Aggressiveness in Brazil

Antonio Martinez, Eloy Paste Junior
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Abstract

This paper studies whether there is a relation between the operational efficiency measured through the Data Envelopment Analysis (DEA) models and the tax aggressiveness of the Brazilian public companies listed on B3 between the period of 2010 to 2015. The main hypothesis is that companies that are more operational efficient are in average less tax aggressive. Or, in other words, we predict that the less operational efficient companies have usually to engage in tax aggressiveness strategies more often. An efficiency score was calculated considering the outputs and inputs of the companies, classifying them according to the Data Envelopment Analysis (DEA) models to determine the relative company’s operational efficiency. The tax aggressiveness was measured by the difference between the Effective Tax Rates (ETR) and the average of ETR of companies from specifics economic sectors. Five relevant economic sectors were evaluated. A Data Panel model was estimated using the fixed effects. Considering the regression of all sectors, the results confirmed the hypothesis that companies that are more operational efficient in average tend to be less tax aggressive. However, when the samples were separated by sectors, only in the Energy and Textile Sectors this relation is significant.
巴西经营效率与税收侵略性的关系
本文研究了2010 - 2015年巴西B3级上市公司通过DEA模型测量的运营效率与税收侵略性之间是否存在关系。主要假设是,运营效率更高的公司平均而言在税收方面的侵略性更低。或者,换句话说,我们预测运营效率较低的公司通常会更频繁地采用税收激进策略。考虑企业的产出和投入,计算效率得分,并根据数据包络分析(DEA)模型对其进行分类,以确定相关企业的运营效率。税收侵略性是通过特定经济部门公司的有效税率(ETR)和平均ETR之间的差异来衡量的。对五个相关经济部门进行了评估。使用固定效应估计数据面板模型。考虑到所有部门的回归,结果证实了平均运营效率更高的公司倾向于更少的税收侵略性的假设。然而,当样本按行业分开时,只有能源和纺织行业的这种关系是显著的。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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