• ISSN: 2301-3567 (Print), 2972-3981 (Online)
    • Abbreviated Title: J. Econ. Bus. Manag.
    • Frequency: Quarterly
    • DOI: 10.18178/JOEBM
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HOME > Archive > 2024 > Volume 12 Number 4 (2024) >
JOEBM 2024 Vol.12(4): 466-476
DOI: 10.18178/joebm.2024.12.4.838

Data Elements and New Quality Productivity-Quasi-natural Experiments Based on a National-level Comprehensive Big Data Pilot Area

Yue Xue and Yue Wang*
School of Economics and Management, Qinghai Minzu University, Xining, China
Emai: 48320970@qq.com (Y.X.); 790032856@qq.com (Y.W.)
*Corresponding author

Manuscript received July 19, 2024; revised August 2, 2024; accepted August 21, 2024; published December 30, 2024.

Abstract—This paper uses the pilot of a national-level big data comprehensive experimental zone as a quasi-natural experiment to explore the impact of data elements on the new-quality productivity of micro-enterprises based on the data of A-share listed companies in Shanghai and Shenzhen during the period of 2011–2022. It is found that data elements significantly promote the new quality productivity of enterprises, and the conclusion still holds after a series of robustness tests. Heterogeneity analysis shows that data elements enhance the new productivity of high-tech firms more significantly than that of non-high-tech firms; data elements promote the new productivity of firms in the eastern region, but have no significant effect on the new productivity of firms in the central and western regions. Mechanism analysis shows that enterprise resource allocation efficiency and digital transformation level play the role of path, and enterprise internal control level and scientific and technological innovation level play a moderating role in the correlation between data elements and enterprise new quality productivity. This paper provides empirical evidence for the further improvement of enterprise new quality productivity.

Keywords—data elements, new quality productivity, double difference models, triple difference models

Cite: Yue Xue and Yue Wang, "Data Elements and New Quality Productivity-Quasi-natural Experiments Based on a National-level Comprehensive Big Data Pilot Area," Journal of Economics, Business and Management, vol. 12, no. 4, pp. 466-476, 2024.

Copyright © 2024 by the authors. This is an open access article distributed under the Creative Commons Attribution License which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited (CC BY 4.0).

 

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