Proceedings of the 2024 2th International Conference on Economic Management, Financial Innovation and Public Service (EMFIPS 2024)

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High Quality Development Paths of Green Finance Empowered by Artificial Intelligence

Authors
Wei Sheng1, *
1Jinan NEW Channel-JUTES High School, Jinan, 25000, China
*Corresponding author. Email: sheng518702@qq.com
Corresponding Author
Wei Sheng
Available Online 7 May 2025.
DOI
10.2991/978-94-6463-706-9_42How to use a DOI?
Keywords
High quality development; development paths; green finance; artificial intelligence
Abstract

In recent years, with increasing attention to the environment and sustainable development, green finance as a solution has gradually received attention. The balance of green finance continues to grow, the investment scope of green finance continues to expand, and green finance has gradually become an important platform for multi-party cooperation. Moreover, green finance is gradually influencing mainstream investment decisions in the financial market. The development of artificial intelligence technology has provided support for green finance. Through big data analysis and machine learning, artificial intelligence can improve the accuracy of sustainability assessment for green finance projects, optimize investment portfolio management, and strengthen risk monitoring. This paper proposes the high-quality development paths of green finance empowered by artificial intelligence, including formulating green finance rating standards, conducting green finance investment evaluations, strengthening risk monitoring, and improving service efficiency, aiming to provide new perspectives and strategies for the future development of green finance.

Copyright
© 2025 The Author(s)
Open Access
Open Access This chapter is licensed under the terms of the Creative Commons Attribution-NonCommercial 4.0 International License (http://creativecommons.org/licenses/by-nc/4.0/), which permits any noncommercial use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license and indicate if changes were made.

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Volume Title
Proceedings of the 2024 2th International Conference on Economic Management, Financial Innovation and Public Service (EMFIPS 2024)
Series
Advances in Economics, Business and Management Research
Publication Date
7 May 2025
ISBN
978-94-6463-706-9
ISSN
2352-5428
DOI
10.2991/978-94-6463-706-9_42How to use a DOI?
Copyright
© 2025 The Author(s)
Open Access
Open Access This chapter is licensed under the terms of the Creative Commons Attribution-NonCommercial 4.0 International License (http://creativecommons.org/licenses/by-nc/4.0/), which permits any noncommercial use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license and indicate if changes were made.

Cite this article

risenwbib
TY  - CONF
AU  - Wei Sheng
PY  - 2025
DA  - 2025/05/07
TI  - High Quality Development Paths of Green Finance Empowered by Artificial Intelligence
BT  - Proceedings of the 2024 2th International Conference on Economic Management, Financial Innovation and Public Service (EMFIPS 2024)
PB  - Atlantis Press
SP  - 473
EP  - 482
SN  - 2352-5428
UR  - https://doi.org/10.2991/978-94-6463-706-9_42
DO  - 10.2991/978-94-6463-706-9_42
ID  - Sheng2025
ER  -