A Study of the Impact of Data Elements on the Export Quality of China's Manufacturing Industry

Yangjie Xu (), Long Wei () and Haiyan Ye ()
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Yangjie Xu: Wuhan University of Technology, School of Economics
Long Wei: Wuhan University of Technology, School of Economics
Haiyan Ye: Wuhan University of Technology, School of Economics

A chapter in Proceedings of the 2024 9th International Conference on Social Sciences and Economic Development (ICSSED 2024), 2024, pp 1035-1042 from Springer

Abstract: Abstract Against the background of the continuous weakening of traditional comparative advantages, data elements have become a new driving force for the improvement of China's manufacturing export quality. This paper adopts China's provincial panel data from 2011–2022 to study the relationship between data elements and the quality of manufacturing exports and the intrinsic influence mechanism. The results find that: data elements have a U-shaped influence effect of inhibiting and then promoting the improvement of technological complexity of China's provincial manufacturing exports; technological innovation, cost savings, and resource allocation are important mechanisms for data elements to promote the improvement of manufacturing export quality. This study provides a clear and feasible path for China's manufacturing industry to utilise the data factor dividend to drive export quality improvement in the context of digital economy.

Keywords: data elements; manufacturing export quality; "U" shaped relationship; mediation effects (search for similar items in EconPapers)
Date: 2024
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DOI: 10.2991/978-94-6463-459-4_115

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