Towards Sustainable Supply Chains: Evaluating the Role of Supply Chain Diversification in Enhancing Corporate ESG Performance DOI Creative Commons
Xinyue Wang, Hui Wu, Yang Shen

и другие.

Systems, Год журнала: 2025, Номер 13(4), С. 266 - 266

Опубликована: Апрель 8, 2025

Supply chain diversification (SCD) is widely acknowledged as a crucial strategy for sustainable supply management. However, its influence on environmental, social, and governance (ESG) performance remains unclear. This study will explore the impact of SCD ESG uncover underlying mechanisms drawing structure–conduct–performance (SCP) paradigm. To achieve this, we employ multidimensional fixed effects model empirical analysis utilizing panel data from China’s A-share listed companies 2010 to 2023. The findings reveal that enhances performance. For large-scale enterprises or those engaged in highly competitive high-pollution industries labor-intensive capital-intensive sectors, well are located eastern central regions, positive relatively more pronounced. mechanism shows green innovation digital transformation act mediators through which drives improvements. Furthermore, environmental uncertainty (EU) positively moderates relationship between These insights provide guiding framework, rich theoretical depth practical significance, committed developing chains pursuing long-term outstanding within complex dynamic market environments.

Язык: Английский

Artificial Intelligence Technology and Corporate ESG Performance: Empirical Evidence from Chinese-Listed Firms DOI Open Access
Hanjin Xie, Fengquan Wu

Sustainability, Год журнала: 2025, Номер 17(2), С. 420 - 420

Опубликована: Янв. 8, 2025

In the era of artificial intelligence (AI), economic efficiency has an obvious role to play, but “non-economic benefits” have gradually become focus corporate attention; thus, environmental, social, and governance (ESG) a mainstream investment strategy. This paper empirically examines impact application AI technology on ESG performance using sample 4858 listed companies in China from 2007 2022. The study finds that: (1) can significantly enhance performance, this conclusion still holds after series endogeneity treatments robustness tests; (2) mechanism analysis shows that degree digitalization positive moderating effect process affecting performance. channel environmental (E) by strengthening green innovation, social (S) improving philanthropic responsibility, overall with above two sub-items as main aspects. However, also weakens effectiveness internal control, which leads decline (G) performance; (3) Heterogeneity promotes more competitive industries tech-nology-intensive firms, eastern central regions than western northeastern regions, large- medium-sized firms are similarly superior small-sized while room for upward mobility large-sized embody higher promotion large enterprises. provides theoretical evidence enterprises apply improve empirical support around investing practices promoting development.

Язык: Английский

Процитировано

0
Prediction of Market Value of Firms with Corporate Sustainability Performance Data Using Machine Learning Models DOI
Murat DOĞAN, Özlem SAYILIR, Muhammed Aslam CHELERY KOMATH

и другие.

Finance research letters, Год журнала: 2025, Номер unknown, С. 107085 - 107085

Опубликована: Фев. 1, 2025

Язык: Английский

Процитировано

0
Towards Sustainable Supply Chains: Evaluating the Role of Supply Chain Diversification in Enhancing Corporate ESG Performance DOI Creative Commons
Xinyue Wang, Hui Wu, Yang Shen

и другие.

Systems, Год журнала: 2025, Номер 13(4), С. 266 - 266

Опубликована: Апрель 8, 2025

Supply chain diversification (SCD) is widely acknowledged as a crucial strategy for sustainable supply management. However, its influence on environmental, social, and governance (ESG) performance remains unclear. This study will explore the impact of SCD ESG uncover underlying mechanisms drawing structure–conduct–performance (SCP) paradigm. To achieve this, we employ multidimensional fixed effects model empirical analysis utilizing panel data from China’s A-share listed companies 2010 to 2023. The findings reveal that enhances performance. For large-scale enterprises or those engaged in highly competitive high-pollution industries labor-intensive capital-intensive sectors, well are located eastern central regions, positive relatively more pronounced. mechanism shows green innovation digital transformation act mediators through which drives improvements. Furthermore, environmental uncertainty (EU) positively moderates relationship between These insights provide guiding framework, rich theoretical depth practical significance, committed developing chains pursuing long-term outstanding within complex dynamic market environments.

Язык: Английский

Процитировано

0