The Impact of Talent Introduction Intensity on Corporate Artificial Intelligence Levels: Empirical Evidence from Chinese A-Share Listed Companies

Main Article Content

Shanlin Bi
School of Health Management, Shandong University of Traditional Chinese Medicine, Jinan 250300, China

DOI: https://doi.org/10.70267/fer.250302.328339

Keywords

talent introduction intensity, corporate artificial intelligence level, financing constraints, employee quality, propensity score matching

Abstract

Talent introduction has become an important factor shaping enterprise development in recent years. Using panel data for Shanghai and Shenzhen A-share listed companies, this paper examines how talent introduction affects firms’ artificial intelligence (AI) development and explores the channels through which this effect operates. The empirical findings suggest that talent introduction is associated with higher levels of AI development among firms. This relationship remains robust after a series of robustness tests and instrumental variable estimations. Further analysis indicates that talent introduction may contribute to AI development by easing financing constraints and improving workforce quality. The effects are not uniform across firms, however. They appear to be more pronounced depending on characteristics such as pollution status, regional location, and industry affiliation, particularly in the manufacturing sector. Overall, the findings highlight the role of talent introduction in supporting corporate AI development and provide evidence that may be useful for the design of talent-related policies and the promotion of the AI industry.

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Published
Jun 24, 2026
Issue
Vol. 3 No. 2 (2026)
Section
Research Articles
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How to Cite

Bi, S. (2026). The Impact of Talent Introduction Intensity on Corporate Artificial Intelligence Levels: Empirical Evidence from Chinese A-Share Listed Companies. Financial Economics Research, 3(2), 328-339. https://doi.org/10.70267/fer.250302.328339