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  • 标题:Transaction Costs and Corporate Tax Stickiness: Based on Big Data Analysis
  • 本地全文:下载
  • 作者:Xiaojuan Wu ; Hongwei Cheng
  • 期刊名称:E3S Web of Conferences
  • 印刷版ISSN:2267-1242
  • 电子版ISSN:2267-1242
  • 出版年度:2021
  • 卷号:253
  • 页码:1-4
  • DOI:10.1051/e3sconf/202125302005
  • 语种:English
  • 出版社:EDP Sciences
  • 摘要:According to deduction principle in China's tax law, the excess transaction costs of enterprises are limited. Therefore, the higher the rate of enterprise transaction costs, the higher the transaction costs cannot be deducted before tax, resulting in the taxable income tax greater than the accounting profit. From the dynamic perspective, it is difficult to reduce the income tax burden when the accounting profit of the enterprise decreases, which will enhance the stickiness of the enterprise tax burden. On the basis of this theoretical analysis, this paper empirically tests the relationship between transaction costs and corporate tax stickiness with the big data samples of Chinese listed companies from 2009 to 2018. The empirical results show that with the increase of transaction cost rate, the stickiness of corporate tax burden will be strengthened.
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