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Research on the Green and Low-Carbon Development Path of Digital Intelligence Empowering Enterprises in Manufacturing Industry

Year: 2025

Type: article

Abstract: The Fourth Industrial Revolution, driven by advancements in information technology, has ushered humanity into the age of intelligence. As digital technologies like artificial intelligence and large-scale models continue to evolve and gain traction, the convergence of digital innovation and green development within manufacturing enterprises has emerged as a pivotal trend. This integration not only fosters high-quality, sustainable growth, but also increasingly validates the impact of digital intelligence on advancing low-carbon performance. This study delves into how manufacturing enterprises can attain sustainable and low-carbon growth via digital transformation, employing the entropy TOPSIS evaluation model to assess the effectiveness of various empowerment strategies. Based on the findings, the paper offers actionable recommendations for enhancing sustainable practices in manufacturing during this digital shift. Beyond enriching the theoretical framework on the synergy between digital intelligence and sustainability in manufacturing, this research provides practical insights and guidance for enterprises leveraging next-generation digital technologies to drive their green and low-carbon initiatives more effectively.

Source: Sustainability

DOI: 10.3390/su17062734

Authors: Xiaofei Wang, Shaowen Zhan, Longlong Liu, Peng Zhang

Institutions: Xi'an University of Architecture and Technology, Shangluo University, Xi'an Aeronautical University

Language: English

Topic: Digital Transformation in Industry

Subfield: Industrial and Manufacturing Engineering

Field: Engineering

Domain: Physical Sciences

SDGs: Industry, innovation and infrastructure, Climate action, Responsible consumption and production, Decent work and economic growth

Open Access status: gold

Estimated APC paid: $2,896