Synergy degree measurement of traditional manufacturing and green industry driven by digital economy in Yangtze River Delta region
Measuring the collaborative development of the manufacturing industry with green industry can sort out the green development context of the traditional manufacturing industry in the digital economy era and provide a reference for realizing the green transformation of traditional manufacturing industry. This paper proposes the coordinated development evaluation model from the perspective of industrial, social and environmental subsystems based on the theory of the social shaping of technology. Furthermore, this paper applies the entropy method and order parameter method to measure the synergy degree of composite system of traditional manufacturing industry, digital economy and green industry in Yangtze River Delta region based on the panel data of China Statistical Yearbook from 2013 to 2021. The research shows that the order degree of traditional manufacturing industry, digital economy and green industry subsystem has been effectively increased year by year, while the synergy degree is still low in different provinces. The traditional manufacturing industries should build the digital innovation ecosystem and utilize digital technology to improve the high energy consumption production process and achieve the dual goals of “low-carbon development and digital transformation”.
Authors
- Zhao Ming (ORCID: https://orcid.org/0000-0001-8927-5155)
- Yuanyuan Wang (ORCID: https://orcid.org/0000-0002-7629-8232)
- Yi Liu (ORCID: https://orcid.org/0009-0007-8292-3296)
Institutions
- Zhejiang Energy Research Institute (CN)
- Hangzhou Dianzi University (CN)
Publication Details
- Journal
- Data Science and Informetrics
- Published
- 2024-09-01
- DOI
- https://doi.org/10.1016/j.dsim.2025.02.001
- Citations
- 3
- Primary Topic
- Digital Transformation in Industry
- Type
- article
- Field-Weighted Citation Impact
- 1.05