Interpret ESG Rating's Impact on the Industrial Chain Using Graph Neural Networks

Author:

Liu Bin,He Jiujun,Li Ziyuan,Huang Xiaoyang,Zhang Xiang,Yin Guosheng

Publisher

Elsevier BV

Subject

General Earth and Planetary Sciences,General Environmental Science

Reference18 articles.

1. Barrot and Sauvagnat, 2016] Jean-Noel Barrot and Julien Sauvagnat. Input specificity and the propagation of idiosyncratic shocks in production networks;Amiraslani;Beiting Cheng, Ioannis Ioannou, and George Serafeim,2014

2. Are red or blue companies more likely to go green? politics and corporate social responsibility;Defferrard;Proceedings of the 30th International Conference on Neural Information Processing Systems, NIPS'16,2014

3. A dynamic analysis on global natural gas trade network;Geng;Applied Energy,2014

4. Cross-attention is all you need: Adapting pretrained Transformers for machine translation;Gheini;Proceedings of the 2021 Conference on Empirical Methods in Natural Language Processing,2021

5. Foundations of esg investing: How esg affects equity valuation, risk, and performance;Giese;The Journal of Portfolio Management,2019

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