High Quality Development Paths of Green Finance Empowered by Artificial Intelligence

Wei Sheng ()
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Wei Sheng: Jinan NEW Channel-JUTES High School

A chapter in Proceedings of the 2024 2nd International Conference on Economic Management, Financial Innovation and Public Service (EMFIPS 2024), 2025, pp 473-482 from Springer

Abstract: 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.

Keywords: High quality development; development paths; green finance; artificial intelligence (search for similar items in EconPapers)
Date: 2025
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Persistent link: https://EconPapers.repec.org/RePEc:spr:advbcp:978-94-6463-706-9_42

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DOI: 10.2991/978-94-6463-706-9_42

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