Research on the Application of Multi Source Data Fusion Technology in the Field of Green Finance

Chengcheng Gan

doi:10.54097/pa6ndc53

Authors

Chengcheng Gan

DOI:

https://doi.org/10.54097/pa6ndc53

Keywords:

Multi source data fusion, Green finance, Intelligent decision-making, Data augmentation, Carbon finance, Risk management and control, Data standardization

Abstract

Against the backdrop of deepening the "dual carbon" strategy, green finance has become a key link between ecological protection and economic growth. However, issues such as data silos, heterogeneous standards, and difficult risk assessments still constrain the industry's large-scale development. This article is based on the three-level fusion principle of "data feature decision" using multi-source data fusion technology, combined with 12 real practical cases such as Xiamen ABB Park, Miaoying Technology Green Enterprise Communication, Suzhou Industrial Park, etc., to systematically analyze the application value of technology in green credit, carbon finance, low-carbon transformation of parks and other scenarios. Research has confirmed that through the dual drive of "rule engine+AI model" and technological paths such as blockchain certification, green project financing costs can be reduced by 30% -45% and credit review efficiency can be improved by over 80%. The conclusion proposes that it is necessary to take policy standardization as the basis, technological collaborative innovation as the core, and security governance as the guarantee to solve the bottlenecks of difficult cross provincial data integration and insufficient data collection for small and medium-sized enterprises, and provide replicable practical solutions for the digital transformation of green finance.

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