Exploration of Blockchain Technology Combined with Intelligent Algorithms in Green Financial Management

Worldwide, people's attention to environmental protection is constantly increasing, and it is becoming increasingly important to implement green financial management for enterprises. Therefore, this project intends to conduct in-depth research on green financial management (FM) issues based on blockchain technology (BT) and intelligent algorithms. This article uses empirical research methods to establish a green FM simulation model based on BT and intelligent algorithms. This model is mainly designed to evaluate how these technologies assist companies in achieving environmental and economic benefits. Research shows that if the attractiveness of green investment for enterprises can be effectively enhanced, environmental risks can be reduced, and the transparency and credibility of financial information can be improved, the attractiveness of green investment for enterprises can be significantly improved. Ultimately, through the above research, combining BT with intelligent algorithms can not only improve the environmental performance of enterprises, but also provide more accurate financial information for investors and regulatory authorities, thereby promoting the development of China's green economy. The system has high accuracy and fast response speed in both read and write requests, with an average of only 0.2 seconds and 0.3 seconds, respectively. This project will address the shortcomings in current green FM research and provide new ideas and empirical evidence for related studies.

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Publication Details

Published
2024-12-29
DOI
https://doi.org/10.1109/icirdc65564.2024.00037
Primary Topic
Insurance and Financial Risk Management
Type
article
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Exploration of Blockchain Technology Combined with Intelligent Algorithms in Green Financial Management

Sijin Li
Insurance and Financial Risk Management
article

Exploration of Blockchain Technology Combined with Intelligent Algorithms in Green Financial Management

Sijin Li
article en

Abstract

Worldwide, people's attention to environmental protection is constantly increasing, and it is becoming increasingly important to implement green financial management for enterprises. Therefore, this project intends to conduct in-depth research on green financial management (FM) issues based on blockchain technology (BT) and intelligent algorithms. This article uses empirical research methods to establish a green FM simulation model based on BT and intelligent algorithms. This model is mainly designed to evaluate how these technologies assist companies in achieving environmental and economic benefits. Research shows that if the attractiveness of green investment for enterprises can be effectively enhanced, environmental risks can be reduced, and the transparency and credibility of financial information can be improved, the attractiveness of green investment for enterprises can be significantly improved. Ultimately, through the above research, combining BT with intelligent algorithms can not only improve the environmental performance of enterprises, but also provide more accurate financial information for investors and regulatory authorities, thereby promoting the development of China's green economy. The system has high accuracy and fast response speed in both read and write requests, with an average of only 0.2 seconds and 0.3 seconds, respectively. This project will address the shortcomings in current green FM research and provide new ideas and empirical evidence for related studies.

Dalian University of Technology (CN)
Openalex Percentile: Top 65%
Insurance and Financial Risk Management
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Exploration of Blockchain Technology Combined with Intelligent Algorithms in Green Financial Management — Sijin Li · (2024) | TGRS Research Map | TGRS