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Artificial Intelligence and Innovation in Manufacturing Enterprises:Theoretical Framework and Empirical Testing

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摘要 This study empirically examines the impact,mechanisms,and heterogeneity of artificial intelligence(AI)on innovation in manufacturing enterprises,using data from Chinese A-share listed companies(2011-2022).Using fixed-effects models and mediation analysis,we find that AI significantly drives innovation in manufacturing,a conclusion supported by various robustness checks.The development of AI enables manufacturing enterprises to achieve cost savings and workforce upgrading.Mechanism analysis identifies two key channels through which AI fosters innovation:increasing talent compensation and widening wage disparities.Heterogeneity tests reveal stronger innovation effects in non-state-owned enterprises,firms in the mature and declining stages,industries with lower concentration,and enterprises located in central and eastern China.Further analysis shows that AI’s impact on substantive innovation is non-linear and moderated by technological intensity and economic uncertainty.Based on these findings,we propose policy recommendations,including the steadfast promotion of intelligent transformation,stage-differentiated implementation,enhanced talent cultivation and policy support,and the accelerated realization of AI’s innovation potential.
机构地区 Northwest University
出处 《Contemporary Social Sciences》 2025年第3期83-95,共13页 当代社会科学(英文)
基金 funded by grants from the National Social Science Fund of China General Project“Research on Value Creation of New Quality Productive Forces in Manufacturing Driven by Digital Intelligence”(No.24BJY005).
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