Green transition in manufacturing: Dynamics and simulation

PLoS One. 2023 Jan 20;18(1):e0280389. doi: 10.1371/journal.pone.0280389. eCollection 2023.

Abstract

Under the dual background of global industrial value chain and low-carbon emission reduction, the green transformation and upgrading of the manufacturing industry is an important way to promote production and promote sustainable economic development. Considering that the green transformation of the manufacturing industry is a typical complex adaptation system, based on the intrinsic relationship between the dynamic theory and the green transformation of the manufacturing industry, this paper takes the endogenous variable of the transformation of manufacturing enterprises as the entry point, simulates the transformation of new and old dynamic energy of green transformation, and explores the mechanism of green transformation and upgrading of manufacturing industry and the conversion process. According to the model, it is concluded that the green transformation of manufacturing enterprises is the result of the multi-stage transformation of enterprises. In this process, the change inertia overcomes old dynamic inertia and promotes the new dynamic to gradually replace the old dynamic. At the end of the article, specific suggestions are given to promote the green transformation of manufacturing enterprises from the aspects of ideology, policy support, digital empowerment, financial service guarantee system and communication and cooperation.

Publication types

  • Research Support, Non-U.S. Gov't

MeSH terms

  • China
  • Commerce*
  • Economic Development
  • Industry*
  • Manufacturing Industry
  • Sustainable Development

Grants and funding

This study was supported by Guangxi Philosophy and Social Science Research Project: Research on the transformation and upgrading path and countermeasures of Guangxi manufacturing industry under the Internet business ecological environment (21FYJ055), National Social Science Fund Project: Co-creation Mechanism and Empirical Research on Smart Tourism Service Value Driven by Internet of Things Big Data (20BGL155) and School level scientific research project of Guangxi Normal University (2022PY) awarded to LL. The funders had no role in study design, data collection and analysis, decision to publish, or preparation of the manuscript.