Causal complexity analysis of ESG performance DOI
Kun‐Huang Huarng, Tiffany Hui‐Kuang Yu

Journal of Business Research, Journal Year: 2023, Volume and Issue: 170, P. 114327 - 114327

Published: Oct. 11, 2023

Language: Английский

Impact of local government environmental attention on corporate total factor productivity: Evidence from 288 Chinese cities DOI
Jia Wang, Zhiwei Zhang, Bin Su

et al.

Journal of Environmental Management, Journal Year: 2025, Volume and Issue: 374, P. 124052 - 124052

Published: Jan. 8, 2025

Language: Английский

Citations

1

From values to value: exploring the dual impact of national spirit on corporate ESG performance DOI
Weijie Tan,

Yiqian Liu,

Qi Dong

et al.

Journal of Accounting Literature, Journal Year: 2025, Volume and Issue: unknown

Published: Jan. 29, 2025

Language: Английский

Citations

1

The Ties that Bind or Those That Tear US APART? Co-CEO Constellations and ESG Performance in Family Firms DOI Creative Commons
Yuliya Ponomareva, Francesco Paolone, Domenico Rocco Cambrea

et al.

Journal of Business Ethics, Journal Year: 2025, Volume and Issue: unknown

Published: Feb. 14, 2025

Language: Английский

Citations

1

Bayesian learning models to measure the relative impact of ESG factors on credit ratings DOI Creative Commons
Arianna Agosto, Paola Cerchiello, Paolo Giudici

et al.

International Journal of Data Science and Analytics, Journal Year: 2023, Volume and Issue: unknown

Published: July 1, 2023

Abstract Artificial intelligence methods, based on machine learning models, are rapidly changing financial services, and credit lending in particular, complementing traditional bank with platform lending. While technologies improve user experience possibly lower costs, they may increase risks and, the model that derive from inaccurate rating assessments. In this paper, we will show how to reduce such risks, using a S.A.F.E. statistical model, which improves: Sustainability, taking environmental, social governance factors into account; Accuracy, building maximises predictive accuracy; Fairness, merging ESG scores different data providers, improving their representativeness; Explainability, clarifying relative contribution of each score accuracy.

Language: Английский

Citations

22

Causal complexity analysis of ESG performance DOI
Kun‐Huang Huarng, Tiffany Hui‐Kuang Yu

Journal of Business Research, Journal Year: 2023, Volume and Issue: 170, P. 114327 - 114327

Published: Oct. 11, 2023

Language: Английский

Citations

21