ORIGINAL RESEARCH article
Front. Environ. Sci.
Sec. Environmental Economics and Management
Volume 13 - 2025 | doi: 10.3389/fenvs.2025.1516452
This article is part of the Research TopicClimate Risk and Green and Low-Carbon Transformation: Economic Impact and Policy ResponseView all 24 articles
Spatiotemporal Evolution and Trend Prediction of Coupled Coordination between Digital Technology and Manufacturing Green Transformation from provinces in China
Provisionally accepted- School of Economics and Management, Anhui University of Science and Technology, Huainan, China
Select one of your emails
You have multiple emails registered with Frontiers:
Notify me on publication
Please enter your email address:
If you already have an account, please login
You don't have a Frontiers account ? You can register here
China is actively promoting the deep integration of digital technology and manufacturing and helping the manufacturing industry develop into high-end, intelligent, and green. As the concept of green development gradually deepens and the international situation becomes increasingly severe, it is necessary to discuss the coordinated development of digital technology and the manufacturing green transformation (MGT), which will better promote the realization of the goals of "double carbon," "digital power" and "manufacturing power." Based on this, this paper takes 30 provinces (municipalities, autonomous regions) in mainland China from 2011 to 2020 as the research object, discusses the spatiotemporal evolution of the coupling coordination degree (the D-G system) of digital technology and MGT, and forecasts its evolution trend. The key findings of the study are as follows: (1) Digital technology and MGT have been progressing steadily in China, with continuous improvements in the level of development; (2) The degree of coupling coordination has shown consistent growth over the years, yet the distribution remains relatively uneven, exhibiting a "trapezoidal" spatial pattern with higher values in the eastern regions and lower values in the western regions; (3) Regional differences play a crucial role in the overall differences of the D-G system; and (4) The traditional Markov chain results show that the probability of the D-G system maintaining the original state stage in the future is greater than 88.67%. The spatial Markov chain results show that the state type of the neighborhood background affects the state transition of the coupling coordination degree. The coupling coordination development of each province will not only be subjected to the "spatial drag" of the neighboring region but also show the phenomenon of "club convergence." These findings provide valuable theoretical insights and practical recommendations for fostering the simultaneous advancement of digital development and sustainable development.
Keywords: Digital technology, Manufacturing green transformation (MGT), Coupled coordination, Dagum Gini coefficient, Spatial Markov chain
Received: 24 Oct 2024; Accepted: 08 May 2025.
Copyright: © 2025 Huang and Deng. This is an open-access article distributed under the terms of the Creative Commons Attribution License (CC BY). The use, distribution or reproduction in other forums is permitted, provided the original author(s) or licensor are credited and that the original publication in this journal is cited, in accordance with accepted academic practice. No use, distribution or reproduction is permitted which does not comply with these terms.
* Correspondence: Hongbing Deng, School of Economics and Management, Anhui University of Science and Technology, Huainan, China
Disclaimer: All claims expressed in this article are solely those of the authors and do not necessarily represent those of their affiliated organizations, or those of the publisher, the editors and the reviewers. Any product that may be evaluated in this article or claim that may be made by its manufacturer is not guaranteed or endorsed by the publisher.