人工智能应用强度、信息披露质量与绿色创新绩效OACHSSCD

Artificial intelligence has emerged as a critical driver of corporate competitiveness and inno-vation capability.However,existing literature lacks systematic investigation into the continuous variation in AI application intensity at the firm level and the transmission mechanism through which AI operates via information disclosure quality.Drawing on a sample of A-share manufacturing listed companies from 2015 to 2023,this study constructs a continuous AI application intensity indicator by counting the fre-quency of AI-related keywords in the Management Discussion and Analysis sections of annual reports using text analysis,and empirically examines the effect of AI application intensity on green innovation performance alongside the boundary conditions imposed by R&D investment intensity.The results indi-cate that higher AI application intensity effectively promotes improvements in corporate green innova-tion performance;however,when a firm's R&D investment intensity is relatively high and its green in-novation base is already well-established,the marginal green innovation increment brought by AI appli-cation is correspondingly limited.Mechanism analysis reveals that AI application intensity encourages firms to continuously advance green technological innovation by enhancing the standardization and transparency of corporate information disclosure,thereby reducing information uncertainty among exter-nal stakeholders.Heterogeneity analysis further shows that the promoting effect of AI application inten-sity on green innovation performance is more pronounced among state-owned enterprises,firms operat-ing in non-heavily polluting industries,and large-scale enterprises.