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

In: Proceedings of the 2025 3rd International Conference on Digital Economy and Management Science (CDEMS 2025)

Author

Listed:
  • 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)

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.

Suggested Citation

  • Jia Liu & Jingyao Li & Shuwei Wang, 2025. "Research on the Impact of Artificial Intelligence Development on the Innovation Efficiency of Enterprises," Advances in Economics, Business and Management Research, in: Wenke Zang & Chunping Xia (ed.), Proceedings of the 2025 3rd International Conference on Digital Economy and Management Science (CDEMS 2025), pages 67-75, Springer.
    • Handle: RePEc:spr:advbcp:978-94-6463-770-0_9
    DOI: 10.2991/978-94-6463-770-0_9
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