Author
Listed:
- Xiaohang Ren
- Ruixuan Liang
- Xu Cheng
- Farhad Taghizadeh-Hesary
Abstract
PurposeThis paper aims to explore the relation between tax credit rating disclosure on stock price crash risk with a focus on the energy industry.Design/methodology/approachUsing a sample of tax credit rating and financial index data of listed enterprises between 2014 and 2020, the paper conducts panel regression analysis to examine how tax credit rating disclosure affects stock crashes.FindingsThis study discovered a notable negative correlation between firms’ tax credit ratings and crash risk, suggesting that companies with better tax credit ratings face lower crash risks. The supervision of managerial opportunistic behaviors and investments’ reputation is the two ways tax credit rating disclosure causes stock price crashes. The results further demonstrate that enterprises with higher tax credit ratings exert a more pronounced influence on stock crashes among state-owned enterprises (SOEs) and those characterized by less growth potential and larger operational size.Originality/valueBy studying the positive signal role of tax credit rating disclosure containing unique government tax certification, this paper expands the research on stock price crash factors. It enriches the financial consequences of a flexible tax administration system.
Suggested Citation
Xiaohang Ren & Ruixuan Liang & Xu Cheng & Farhad Taghizadeh-Hesary, 2025.
"Tax credit rating disclosure and stock price crash risk: evidence from China,"
Review of Accounting and Finance, Emerald Group Publishing Limited, vol. 24(4), pages 551-567, May.
Handle:
RePEc:eme:rafpps:raf-02-2025-0055
DOI: 10.1108/RAF-02-2025-0055
Download full text from publisher
Corrections
All material on this site has been provided by the respective publishers and authors. You can help correct errors and omissions. When requesting a correction, please mention this item's handle: RePEc:eme:rafpps:raf-02-2025-0055. See general information about how to correct material in RePEc.
If you have authored this item and are not yet registered with RePEc, we encourage you to do it here. This allows to link your profile to this item. It also allows you to accept potential citations to this item that we are uncertain about.
We have no bibliographic references for this item. You can help adding them by using this form .
If you know of missing items citing this one, you can help us creating those links by adding the relevant references in the same way as above, for each refering item. If you are a registered author of this item, you may also want to check the "citations" tab in your RePEc Author Service profile, as there may be some citations waiting for confirmation.
For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: Emerald Support (email available below). General contact details of provider: .
Please note that corrections may take a couple of weeks to filter through
the various RePEc services.