Science Research Management ›› 2025, Vol. 46 ›› Issue (2): 12-21.DOI: 10.19571/j.cnki.1000-2995.2025.02.002

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Research on the influence of marketization of data elements on the level of new quality productive forces of enterprises

Liang Xiaocheng, Lyu Kangyin, Chen Si   

  1. School of Economics and Management, Northeast Normal University, Changchun 130117, Jilin, China
  • Received:2024-03-27 Revised:2024-12-04 Online:2025-02-20 Published:2025-02-11

Abstract:      Promoting the market-oriented construction of data elements can give full play to the role of data elements and is of great significance for cultivating and developing new quality productive forces. This paper selected the data of A-share listed companies from 2015 to 2022 as research samples, adopted the establishment of data trading platform as a practical exploration to promote the marketization of data elements, and used the progressive differential model to empirically test the impact of data element marketization on the level of new quality productive forces of enterprises. It was found that the marketization of data elements can significantly improve the level of new quality productive forces of enterprises, and this conclusion is still valid after various robustness tests. The mechanism test showed that the marketization of data elements affects the level of new quality productive forces of enterprises by improving the application level of digital technology and the efficiency of resource allocation. The heterogeneity analysis showed that the marketization of data elements has a more significant impact on enterprises in regions with higher digital economy level, labor-intensive enterprises and high-tech enterprises. The research conclusion will have important implications for further promoting the market-oriented construction of data elements and cultivating and developing new quality productive forces from the enterprise level.

Key words: marketization of data element, new quality productive force, digital technology application, resource allocation efficiency