所属栏目:公司金融/公司治理/2025/2025年第03期

Impact of Artificial Intelligence on Total Factor Productivity of Manufacturing Firms: The Moderating Role of Management Levels
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发布日期:2024年08月08日 上次修订日期:2024年08月08日

摘要

Based on the panel data of listed manufacturing companies in China from 2010 to 2019, the artificial intelligence (AI) index is constructed using the industrial robot data provided by the International Federation of Robotics, and the two-way fixed effect model is used to test the impact of AI on the total factor productivity (TFP) of enterprises. The results show that AI significantly improves the TFP of manufacturing enterprises, and this conclusion remains valid after robustness tests and endogeneity processing. AI promotes TFP by improving the level of human capital and technological innovation, and management and operational levels positively regulate the promotional effect of AI on the TFP of enterprises. Compared with manufacturing enterprises in the central and western regions, AI boosts the TFP of those in the eastern region; compared with non-state-owned enterprises, AI boosts the TFP of state-owned enterprises; and AI significantly boosts the TFP of high-tech and non-high-tech enterprises.
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Mingfang Dong; Yuanyang Peng; Zhang Ke Impact of Artificial Intelligence on Total Factor Productivity of Manufacturing Firms: The Moderating Role of Management Levels (2024年08月08日) https://www.cfrn.com.cn/dzqk/detail/15852.html

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