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Digital Intelligence-Driven Enhancement of Low-Carbon Supply Chain Financing Capability in Manufacturing Enterprises

Author(s)

Jie Chen*, Lianghang Yu, Nan Huang

Affiliation(s)

Department of Economics and Management, Tianjin Chengjian University, Tianjin, China. *Corresponding Author

Abstract

The evolution of digital and intelligent potentials within industrial manufacturing firms to bolster supply chain finance for low-carbon transition capacity represents a vital route toward high-quality economic growth and realizing the objectives of financial support for new industrialization. This article centers on manufacturing businesses, classifying digital and intelligent potentialities into three facets: smart manufacturing, digital and intelligent operations, and digital and intelligent connectivity. It presents green supply chain information transparency as a mediating factor to establish a theoretical framework, utilizes structural equation modeling and the Bootstrap approach for empirical investigation, and utilizes financing performance to gauge financing capability. The investigation reveals that every facet of digital and intelligent potentialities positively advances low-carbon supply chain financing efficiency while concurrently boosting low-carbon supply chain information transparency; green supply chain information transparency positively affects financing efficiency and functions as a partial mediating factor. This study extends the existing body of research regarding how digital and intelligent technologies empower low-carbon supply chain financing and offers theoretical references and practical guidance for manufacturing firms, banking organizations, and governmental agencies in promoting the green transition of the industrial sector.

Keywords

Digital Intelligence; Low-Carbon Supply Chain; Manufacturing Enterprises; Financing Capability

References

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