Analysis of the Influential Factors and Prediction of Corporate ESG Performance under Multi-source Data Fusion - Based on Frontier Machine Learning

Zheng, Chenhong; Zhang, Mengqian; Zeng, Cong; Xiao, Fangshun; Liu, Mengzhe

Analysis of the Influential Factors and Prediction of Corporate ESG Performance under Multi-source Data Fusion - Based on Frontier Machine Learning

Zheng, Chenhong and Zhang, Mengqian and Zeng, Cong and Xiao, Fangshun and Liu, Mengzhe (2023) Analysis of the Influential Factors and Prediction of Corporate ESG Performance under Multi-source Data Fusion - Based on Frontier Machine Learning. In: Proceedings of the 3rd International Conference on Big Data Economy and Information Management, BDEIM 2022, December 2-3, 2022, Zhengzhou, China.

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Abstract

Environmental, Social and Governance (ESG) performance, which reflect the degree of corporate green development and sustainable development potential, is one of the key factors determining the long-term development of enterprises. Based on the integration of macro data and enterprise data, this pape

Item Type:	Conference or Workshop Item (UNSPECIFIED)
Date Deposited:	04 Mar 2026 16:21
Last Modified:	17 Apr 2026 02:59
URI:	http://eprints.eai.eu/id/eprint/43399

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