Research on the Impact of Artificial Intelligence Development on the Innovation Efficiency of Enterprises

Jia Liu (), Jingyao Li () and Shuwei Wang ()
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Jia Liu: University of Business Studies, Qingdao University of Technology
Jingyao Li: University of Business Studies, Qingdao University of Technology
Shuwei Wang: Shandong University of Science and Technology, Faculty of Economics and Management

A chapter in Proceedings of the 2025 3rd International Conference on Digital Economy and Management Science (CDEMS 2025), 2025, pp 67-75 from Springer

Abstract: Abstract As a universal technology, artificial intelligence has a strong technology spillover effect, which can improve production efficiency, promote enterprise innovation and optimize factor allocation. Drawing upon the data pertaining to A-share listed companies in China from the period of 2017 to 2023, this research empirically examines the impact of artificial intelligence development on enterprise innovation efficiency by utilizing a double fixed-effects model. The results indicate that the progress of AI acts as a driving force in boosting enterprise innovation efficiency. Remarkably, this conclusion maintains its validity even after undergoing a comprehensive series of robustness checks and endogeneity tests. This study delves into the function of AI in enhancing enterprise innovation efficiency from a micro-level perspective, thereby enriching our comprehension and insight into AI at the enterprise level, and offering practical recommendations for enterprises to elevate their innovation efficiency.

Keywords: artificial intelligence; innovation efficiency; high quality development (search for similar items in EconPapers)
Date: 2025
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DOI: 10.2991/978-94-6463-770-0_9

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