Please use this identifier to cite or link to this item: https://hdl.handle.net/10419/338539 
Year of Publication: 
2024
Citation: 
[Journal:] China Journal of Accounting Studies (CJAS) [ISSN:] 2169-7221 [Volume:] 12 [Issue:] 3 [Year:] 2024 [Pages:] 550-590
Publisher: 
Taylor & Francis, Abingdon
Abstract: 
This study adopts multi-modal machine learning to deeply interpret corporate non-financial information and explore the influence of corporate leverage manipulation on non-financial information disclosure. It is found that enterprises will strategically disclose non-financial information when implementing leverage manipulation, that is, the emotion of non-financial information text is more positive, farther away and more difficult. Based on the motivation of leverage manipulation, when enterprises face greater pressure of 'deleveraging' policy and stronger financing constraints, enterprises are more inclined to disclose non-financial information strategically when implementing leverage manipulation. Further, the dual motives of leverage manipulation are explored deeply. For the samples with high 'deleveraging' policy pressure such as state-owned enterprises and high media attention, and the samples with strong financing constraints such as high short-term debt repayment pressure and high debt financing cost, the positive relationship between leverage manipulation and strategic disclosure of non-financial information is more significant.
Subjects: 
accounting information quality
disclosure strategy
Leverage manipulation
non-financial information
Persistent Identifier of the first edition: 
Creative Commons License: 
cc-by Logo
Document Type: 
Article

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