制造业企业智能化转型对全要素生产率的影响研究

Research on the Impact of Intelligent Transformation of Manufacturing Enterprises on Total Factor Productivity

摘要: 新一轮技术革命下，制造业企业智能化转型是实现高质量发展的核心路径，而全要素生产率又是企业高质量发展的核心体现。因此本文选取沪深A股上市制造业企业2014年到2023年十年间的数据探讨企业智能化转型对全要素生产率的影响。研究发现：制造业企业智能化转型能显著提升企业全要素生产率，该结果经过内生性检验和稳健性检验之后仍然成立。异质性分析发现，非国有企业智能化转型对全要素生产率的影响比国有企业更为显著，技术密集型企业智能化转型对全要素生产率的显著影响优于资本密集型和劳动密集型企业。因此要提升制造业企业全要素生产率，促进企业高质量发展，就要加快智能化转型的脚步。

Abstract: Under the new round of technological revolution, the intelligent transformation of manufacturing enterprises is the core path to achieve high-quality development, and total factor productivity is the core embodiment of high-quality development of enterprises. Therefore, this paper selects the data of Shanghai and Shenzhen A-share listed manufacturing enterprises from 2014 to 2023 to discuss the impact of enterprise intelligent transformation on total factor productivity. The results show that the intelligent transformation of manufacturing enterprises can significantly improve the total factor productivity of enterprises, and the results are still valid after the endogenous test and robustness test. Heterogeneity analysis shows that the impact of intelligent transformation of non-state-owned enterprises on total factor productivity is more significant than that of state-owned enterprises, and the significant impact of intelligent transformation of technology-intensive enterprises on total factor productivity is better than that of capital-intensive and labor-intensive enterprises. Therefore, in order to improve the total factor productivity of manufacturing enterprises and promote the high-quality development of enterprises, it is necessary to accelerate the pace of intelligent transformation.