Building Trust: How Good Governance Fosters Success in Cooperatives for Msme Development DOI
Augendra Bhukuth

Опубликована: Янв. 1, 2024

Download This Paper Open PDF in Browser Add to My Library Share: Permalink Using these links will ensure access this page indefinitely Copy URL DOI

Язык: Английский

Research on the impact and mechanism of ESG rating on enterprises’ green total factor productivity-based on staggered difference-in-differences model DOI
Di Zhu, C. G. Zhu

Environment Development and Sustainability, Год журнала: 2025, Номер unknown

Опубликована: Янв. 23, 2025

Язык: Английский

Процитировано

0

The impacts of China’s sustainable financing policy on environmental, social and corporate governance (ESG) performance DOI
Haoyu Li, Xing Gao,

Xingman Zhang

и другие.

Environment Development and Sustainability, Год журнала: 2025, Номер unknown

Опубликована: Март 16, 2025

Язык: Английский

Процитировано

0

Do green investments really make companies “green”? Empirical evidence from corporate ESG ratings DOI
Ming Zhang, Xueli Zhang, Yan Song

и другие.

Environment Development and Sustainability, Год журнала: 2025, Номер unknown

Опубликована: Март 28, 2025

Язык: Английский

Процитировано

0

Predicting Business Failure with the XGBoost Algorithm: The Role of Environmental Risk DOI Open Access
Mariano Romero Martínez, Pedro Carmona, Julián Martínez-Vargas

и другие.

Sustainability, Год журнала: 2025, Номер 17(11), С. 4948 - 4948

Опубликована: Май 28, 2025

This study addresses the increasing emphasis on sustainability and importance of understanding how environmental risk influences business failure, a factor unexplored in traditional financial prediction models. Environmental risk, or exposure, refers to potential percentage company’s revenue at due damage it causes. Previous research has not sufficiently integrated variables into failure aims determine whether significantly predicts interacts with conventional indicators. Utilizing data from 971 Spanish cooperative companies 2022, including ratios, VADIS bankruptcy propensity indicator, TRUCAM score, employs Extreme Gradient Boosting (XGBoost) machine learning algorithm, chosen for its robustness handling multicollinearity nonlinear relationships. The methodology involves training validation samples, cross-validation hyperparameter tuning, interpretability techniques such as variable analysis partial dependence plots. Results demonstrate that related (TRUCAM) ranks among top predictors, alongside liquidity, profitability, labor costs, higher values correlating positively underscoring sustainable cost management. These findings suggest firms facing substantial are more prone distress. By incorporating this framework, work contributes interaction between practices corporate viability.

Язык: Английский

Процитировано

0

Building Trust: How Good Governance Fosters Success in Cooperatives for Msme Development DOI
Augendra Bhukuth

Опубликована: Янв. 1, 2024

Download This Paper Open PDF in Browser Add to My Library Share: Permalink Using these links will ensure access this page indefinitely Copy URL DOI

Язык: Английский

Процитировано

0