A Measurement Analysis of the Development of New Quality Productive Forces in Artificial Intelligence-Enabled Enterprises
Han Lyu, Kun Wang · 2025
In spite of the fact that artificial intelligence(AI) has been broadly embraced as a key innovation over different areas, orderly experimental investigate on its particular components influencing the New Quality Productive Forces (NQPF) of ventures remains restricted. This paper draws on information from A-share recorded companies in Shanghai and Shenzhen between 2011 and 2022 to investigate the affect of AI on the NQPF of enterprises.The ponder to begin with builds an entropy-based assessment record framework that consolidates both labor and generation instruments to measure the NQPF of firms. Moreover, the level of AI appropriation inside a company is measured by the recurrence of AI-related watchwords showing up in its yearly reports. To test the speculations, the consider utilizes a fixed-effects show and finds a critical positive relationship between AI and the NQPF of undertakings. Advance approval through endogeneity and strength tests affirms the unwavering quality and strength of the results.Moreover, the investigation uncovers that the affect of AI on NQPF works through both coordinate and roundabout instruments, with noteworthy heterogeneous impacts over diverse sorts of firms. Based on these discoveries, the paper offers approach suggestions pointed at giving hypothetical experiences and down to earth direction for government organizations, corporate supervisors, and future scholarly investigate.