Research on the Collaborative Carbon Reduction Mechanism of Green Finance and Digital Finance

By integrating policy evolution analysis, market size data, and multidimensional empirical evidence, it is revealed that the two form a synergistic effect through three major paths: at the capital guidance layer, digital technology improves the accuracy of green project identification, optimizes the flow of credit and bond funds to low-carbon areas.In terms of innovation capability, the Internet of Things and big data enable full-chain carbon tracking, promoting industrial digitization and significant leaps in energy efficiency. At the risk management level, AI dynamically models and quantifies the potential for emission reduction, thereby reducing climate risk mismatches. Research has found significant spatial heterogeneity in synergistic effects: the eastern region relies on digital infrastructure to form a carbon reduction hub, while green finance contributes more prominently to emissions reduction in the western region, and the overall synergistic effect exhibits an inverted U-shaped nonlinear characteristic, positively regulated by financial regulatory efforts. Finally, policy implications are proposed: it is necessary to establish a green value accounting system, strengthen information disclosure, and specifically address the shortcomings of Digital infrastructure in less-developed regions, to maximize the potential for “Dual Synergy” emission reduction.

Publication Details

Journal
Springer Link (Chiba Institute of Technology)
Published
2025-11-13
DOI
https://doi.org/10.1051/shsconf/202522503024/pdf
Primary Topic
Energy, Environment, Economic Growth
Type
article
Field-Weighted Citation Impact
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article

Research on the Collaborative Carbon Reduction Mechanism of Green Finance and Digital Finance

Springer Link (Chiba Institute of Technology)
Energy, Environment, Economic Growth
article

Research on the Collaborative Carbon Reduction Mechanism of Green Finance and Digital Finance

article en

Abstract

By integrating policy evolution analysis, market size data, and multidimensional empirical evidence, it is revealed that the two form a synergistic effect through three major paths: at the capital guidance layer, digital technology improves the accuracy of green project identification, optimizes the flow of credit and bond funds to low-carbon areas.In terms of innovation capability, the Internet of Things and big data enable full-chain carbon tracking, promoting industrial digitization and significant leaps in energy efficiency. At the risk management level, AI dynamically models and quantifies the potential for emission reduction, thereby reducing climate risk mismatches. Research has found significant spatial heterogeneity in synergistic effects: the eastern region relies on digital infrastructure to form a carbon reduction hub, while green finance contributes more prominently to emissions reduction in the western region, and the overall synergistic effect exhibits an inverted U-shaped nonlinear characteristic, positively regulated by financial regulatory efforts. Finally, policy implications are proposed: it is necessary to establish a green value accounting system, strengthen information disclosure, and specifically address the shortcomings of Digital infrastructure in less-developed regions, to maximize the potential for “Dual Synergy” emission reduction.

Springer Link (Chiba Institute of Technology)
Openalex Percentile: Top 26%
Energy, Environment, Economic Growth
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Research on the Collaborative Carbon Reduction Mechanism of Green Finance and Digital Finance · Springer Link (Chiba Institute of Technology) (2025) | TGRS Research Map | TGRS