Levels of AI Investment, Environmental Disclosure Performance, and Firms’ Interest-Bearing Debt Financing Levels

Due to the broad use of artificial intelligence (AI) technologies in enterprises’ operations, an issue arises regarding the influence of AI investments on the financing behavior of firms. In this study, a sample of Chinese A-share listed firms from 2010 to 2023 was used to empirically investigate the influence of AI investment levels on interest-bearing debt ratios of firms, as well as to test the role of environmental disclosure performance in this regard. The results show that there exists a strong positive relationship between AI investment levels and interest-bearing debt ratios, which might mean either a high propensity to finance through debt or higher interest-bearing debts of firms. According to the results of stepwise regression, it can be concluded that AI investments are negatively related to environmental disclosure performance, and environmental disclosure performance is negatively correlated with interest-bearing debt ratios of firms, suggesting resource trade-offs. Heterogeneity analysis shows that this effect is mainly valid for large-scale firms, and robustness tests confirm the main results of this paper.

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Publication Details

Journal
Journal of innovation and development
Published
2026-11-04
DOI
https://doi.org/10.54097/rw5ea757
Primary Topic
Corporate Finance and Governance
Type
article
Field-Weighted Citation Impact
0.00
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article

Levels of AI Investment, Environmental Disclosure Performance, and Firms’ Interest-Bearing Debt Financing Levels

Mingzi Guan
Journal of innovation and development
Corporate Finance and Governance
article

Levels of AI Investment, Environmental Disclosure Performance, and Firms’ Interest-Bearing Debt Financing Levels

Mingzi Guan
article en

Abstract

Due to the broad use of artificial intelligence (AI) technologies in enterprises’ operations, an issue arises regarding the influence of AI investments on the financing behavior of firms. In this study, a sample of Chinese A-share listed firms from 2010 to 2023 was used to empirically investigate the influence of AI investment levels on interest-bearing debt ratios of firms, as well as to test the role of environmental disclosure performance in this regard. The results show that there exists a strong positive relationship between AI investment levels and interest-bearing debt ratios, which might mean either a high propensity to finance through debt or higher interest-bearing debts of firms. According to the results of stepwise regression, it can be concluded that AI investments are negatively related to environmental disclosure performance, and environmental disclosure performance is negatively correlated with interest-bearing debt ratios of firms, suggesting resource trade-offs. Heterogeneity analysis shows that this effect is mainly valid for large-scale firms, and robustness tests confirm the main results of this paper.

Journal of innovation and developmentVol. 17(3)
Northwestern Polytechnical University (CN)
Openalex Percentile: Top 8%
Corporate Finance and Governance
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