Research on the green transformation of China's traditional manufacturing industry driven by digital economy based on system dynamics

As China advances towards the achievement of its dual-carbon goals, the traditional manufacturing sector is confronted with a range of challenges, particularly in terms of industrial upgrading and the transition to low-carbon development. Utilizing the technology-organization-environment (TOE) framework, this paper examines the factors driving the green transformation of traditional manufacturing industries in the context of the digital economy, focusing on the interplay between organizational, technological, and environmental dimensions. Furthermore, this paper constructs the system dynamics model to research the green transformation mechanism of the traditional manufacturing industry with Vensim software based on the data from 2015 to 2020. The simulation experiments predict the different green development paths of traditional manufacturing through environmental regulation, digital technology innovation and green technical standards, which can enhance the green total factor productivity and reduce the carbon dioxide emission degree of China's traditional manufacturing industry.

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Publication Details

Journal
Data Science and Informetrics
Published
2025-02-24
DOI
https://doi.org/10.1016/j.dsim.2025.02.004
Citations
2
Primary Topic
Sustainable Industrial Ecology
Type
article
Field-Weighted Citation Impact
2.48
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article

Research on the green transformation of China's traditional manufacturing industry driven by digital economy based on system dynamics

Haolong Hu, Yi Liu, Tong Xiao
2 citations
Data Science and Informetrics
Sustainable Industrial Ecology
2.48
article

Research on the green transformation of China's traditional manufacturing industry driven by digital economy based on system dynamics

Haolong Hu, Yi Liu, Tong Xiao
article en
2 citations

Abstract

As China advances towards the achievement of its dual-carbon goals, the traditional manufacturing sector is confronted with a range of challenges, particularly in terms of industrial upgrading and the transition to low-carbon development. Utilizing the technology-organization-environment (TOE) framework, this paper examines the factors driving the green transformation of traditional manufacturing industries in the context of the digital economy, focusing on the interplay between organizational, technological, and environmental dimensions. Furthermore, this paper constructs the system dynamics model to research the green transformation mechanism of the traditional manufacturing industry with Vensim software based on the data from 2015 to 2020. The simulation experiments predict the different green development paths of traditional manufacturing through environmental regulation, digital technology innovation and green technical standards, which can enhance the green total factor productivity and reduce the carbon dioxide emission degree of China's traditional manufacturing industry.

Data Science and InformetricsVol. 5(1)
Zhejiang Energy Research Institute (CN), Hangzhou Dianzi University (CN)
Industry, innovation and infrastructure
Openalex Percentile: Top 12%
Sustainable Industrial Ecology
2.48
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Research on the green transformation of China's traditional manufacturing industry driven by digital economy based on system dynamics — Haolong Hu, Yi Liu, et al. · Data Science and Informetrics (2025) | TGRS Research Map | TGRS