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| Research on the Impact of Data Element Utilization on Enterprise Total Factor Productivity |
| ZHU Kang，TANG Yong，ZHANG Na |
| Fuzhou University, Fuzhou, China |
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Abstract Based on the texts describing the utilization of data elements in the annual reports of listed companies in China from 2012 to 2022, this paper uses text analysis and machine learning models to measure the utilization index of enterprise data elements, and empirically empirically examines the impact of data element utilization on the total factor productivity of enterprises (TFP). The results show that the utilization of data elements significantly promotes the improvement of enterprise TFP. Mechanism analysis shows that the use of data elements can improve the TFP of enterprises through the factor allocation effect and the digital technology innovation effect. Heterogeneity analysis shows that the role of the role of data element utilization in improving the TFP of enterprises is more significant in non-state-owned enterprises, large-scale enterprises, and high-tech enterprises.
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Received: 12 November 2024
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