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Published on 7 April 2025
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Lu,M.;Liu,Y. (2025). Digital Transformation, Manufacturing Total Factor Productivity and Green Technology Innovation. Advances in Economics, Management and Political Sciences,173,41-49.
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Digital Transformation, Manufacturing Total Factor Productivity and Green Technology Innovation

Mai Lu 1, Yanping Liu *,2,
  • 1 Dalian University of Technology, Dalian, China
  • 2 Dalian University of Technology, Dalian, China

* Author to whom correspondence should be addressed.

https://doi.org/10.54254/2754-1169/2025.21723

Abstract

This study investigates the dynamic relationship between digital transformation and green technology innovation in China's manufacturing sector, with a focus on the mediating role of total factor productivity. Based on the panel data of A-share listed manufacturing enterprises in Shanghai and Shenzhen from 2010 to 2022, it is found that the digital transformation of manufacturing industry significantly promotes green technological innovation, and total factor productivity plays an important mediating role in it. Specifically, digital transformation provides strong support for green technology innovation by optimising resource allocation and improving production efficiency. Heterogeneity analyses show that large enterprises and state-owned enterprises (SOEs) perform more significantly in the promotion of green technology innovation by digital transformation. The findings provide a new perspective for understanding the intrinsic connection between digital transformation and green technology innovation in the manufacturing industry, as well as policy insights for promoting high-quality development of the manufacturing industry and achieving green development.

Keywords

digital transformation of manufacturing, green technology innovation, total factor productivity, mediating effect

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Cite this article

Lu,M.;Liu,Y. (2025). Digital Transformation, Manufacturing Total Factor Productivity and Green Technology Innovation. Advances in Economics, Management and Political Sciences,173,41-49.

Data availability

The datasets used and/or analyzed during the current study will be available from the authors upon reasonable request.

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About volume

Volume title: Proceedings of the 4th International Conference on Business and Policy Studies

Conference website: https://www.confbps.org/
ISBN:978-1-80590-040-5(Print) / 978-1-80590-039-9(Online)
Conference date: 20 February 2025
Editor:Canh Thien Dang
Series: Advances in Economics, Management and Political Sciences
Volume number: Vol.173
ISSN:2754-1169(Print) / 2754-1177(Online)

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