The impact of media attention on corporate tax avoidance: A study based on Chinese A-share listed companies
Haozhi Qi,
Muyu Li and
Han Zhang
Finance Research Letters, 2023, vol. 58, issue PD
Abstract:
By using data from China's A-share listed companies from 2018 to 2021, This article studies the impact and mechanism of media attention on corporate tax avoidance. The results show that enterprises that receive more media attention have a lower level of tax avoidance, that is, media coverage can effectively reduce the level of tax avoidance. Furthermore, negative reporting on enterprises is more effective in reducing tax avoidance than positive or neutral reporting. Mechanism analysis shows that media attention can effectively promote enterprises to enhance internal control, thereby reducing tax avoidance. The results of heterogeneity analysis show that compared to non-state-owned enterprises and smaller enterprises, media attention has a higher impact on the tax avoidance level of state-owned and large enterprises. The research conclusion of this article indicates that strengthening media attention and supervision of enterprises is an effective measure to improve corporate governance and reduce tax avoidance.
Keywords: Media attention; Corporate tax avoidance; Internal controls (search for similar items in EconPapers)
Date: 2023
References: View references in EconPapers View complete reference list from CitEc
Citations: View citations in EconPapers (3)
Downloads: (external link)
http://www.sciencedirect.com/science/article/pii/S1544612323009662
Full text for ScienceDirect subscribers only
Related works:
This item may be available elsewhere in EconPapers: Search for items with the same title.
Export reference: BibTeX
RIS (EndNote, ProCite, RefMan)
HTML/Text
Persistent link: https://EconPapers.repec.org/RePEc:eee:finlet:v:58:y:2023:i:pd:s1544612323009662
DOI: 10.1016/j.frl.2023.104594
Access Statistics for this article
Finance Research Letters is currently edited by R. Gençay
More articles in Finance Research Letters from Elsevier
Bibliographic data for series maintained by Catherine Liu ().