ESG performance and sustainability concerns exposure DOI Creative Commons
Thanh Nam Vu

Finance research letters, Год журнала: 2024, Номер 71, С. 106434 - 106434

Опубликована: Ноя. 7, 2024

Язык: Английский

Ecological rule of law and enterprise green innovation — Evidence from China's environmental courts DOI
Zhao Lei, Ruitao Zhao

Journal of Environmental Management, Год журнала: 2025, Номер 374, С. 124081 - 124081

Опубликована: Янв. 9, 2025

Язык: Английский

Процитировано

5

Geopolitical risk and energy markets in China DOI Creative Commons

Xiaomei Su,

Ummara Razi, Shangmei Zhao

и другие.

International Review of Financial Analysis, Год журнала: 2025, Номер unknown, С. 104187 - 104187

Опубликована: Март 1, 2025

Язык: Английский

Процитировано

2

Corporate sustainability practices: An interplay of uncertainty, geopolitical risk and competition DOI

Rajesh Bhue,

Umakanta Gartia,

Ajaya Kumar Panda

и другие.

Journal of Environmental Management, Год журнала: 2025, Номер 376, С. 124471 - 124471

Опубликована: Фев. 8, 2025

Язык: Английский

Процитировано

1

ESG introduction mechanism of construction firms based on Bayesian network coupled with machine learning: Evidence from Zhengzhou DOI Creative Commons

Jinzhao Tian,

Yi‐Sheng Liu, Lincoln C. Wood

и другие.

Journal of Environmental Management, Год журнала: 2025, Номер 375, С. 124185 - 124185

Опубликована: Янв. 25, 2025

Chinese construction enterprises are at a pivotal point in their transition to sustainable development, with Environmental, Social, and Governance (ESG) emerging as key driver. However, limited understanding of ESG mechanisms hampers effective management strategies. To address this challenge, study constructs an introduction mechanism framework based on Bayesian networks machine learning algorithms. Using Zhengzhou, major city China, case study, the research employs quantitative methods identify factors influencing introduction. The findings reveal that attitudes towards ESG-related products, establishment corporate brand image, readiness three primary driving among enterprises. Further scenario simulation analyses indicate positive attitude significantly enhances likelihood successful Additionally, fostering expanding local consulting service agencies strengthening regulatory measures markedly improve success rate This provides enterprise managers practical tool analyze offers critical decision-making support for policymakers designing policies promote

Язык: Английский

Процитировано

0

ESG Reactions to Fintech: The Role of Cross-border Capital Flows DOI

Xukang Liu,

Chaoqun Ma, Yi‐Shuai Ren

и другие.

Research in International Business and Finance, Год журнала: 2025, Номер 76, С. 102834 - 102834

Опубликована: Фев. 24, 2025

Язык: Английский

Процитировано

0

The Effects of Top Management Team R&D Functional Background on Corporate Social Responsibility: Detrimental or Beneficial in Family Firms? DOI Open Access
Yi‐Shuai Ren, Najoua Elommal,

Xiaolin Kong

и другие.

International Journal of Finance & Economics, Год журнала: 2025, Номер unknown

Опубликована: Март 19, 2025

ABSTRACT This study investigates the influence of TMT R&D functional background on corporate social responsibility (CSR), using data from Chinese‐listed family firms 2010 to 2020. The results demonstrate that CSR performance is negatively influenced by TMT. These conclusions continuously robustness following endogeneity and tests. Furthermore, primary channels via which influences are digital transformation control channels. exerts a more significant adverse impact in with multiple shareholding or actual controllers not serving as chairman general manager.

Язык: Английский

Процитировано

0

How does the volatility of ESG stock indices spillover in times of high geopolitical risk? New insights from emerging and developed markets DOI Creative Commons
Renata Karkowska, Szczepan Urjasz

Journal of Sustainable Finance & Investment, Год журнала: 2025, Номер unknown, С. 1 - 47

Опубликована: Апрель 10, 2025

Язык: Английский

Процитировано

0

The effects of geopolitical and political risks on corporate ESG practices DOI Creative Commons
Yaman Ö. Erzurumlu, Giray Gözgör, Chi Keung Marco Lau

и другие.

Journal of Environmental Management, Год журнала: 2025, Номер 386, С. 125747 - 125747

Опубликована: Май 13, 2025

Язык: Английский

Процитировано

0

How ESG Engagement Shapes Firm Life Cycle Progression: Evidence from U.S. data DOI

Tang-Lin Hwang,

Yuhong Liu

Finance research letters, Год журнала: 2025, Номер unknown, С. 107589 - 107589

Опубликована: Май 1, 2025

Язык: Английский

Процитировано

0

Geopolitical risk, economic and climate policy uncertainty and ESG disclosure: evidence from US firms DOI
Hassan Guenichi, Neji Al-Eid Omri,

Tarek Khaskhoussi

и другие.

Management of Environmental Quality An International Journal, Год журнала: 2025, Номер unknown

Опубликована: Июнь 3, 2025

Purpose The term environmental, social and governance (ESG) has gained momentum in recent years. Thus, understanding its underlying driving mechanisms become increasingly intriguing. In this study, we examine the effects of economic policy uncertainty (EPU), climate (CPU) geopolitical risk (GPR) on firms’ ESG disclosure. Design/methodology/approach To achieve paper’s goal, use mixed data sampling (MIDAS) regression model a sample 500 firms from US stock market. Findings results indicate that EPU GPR have significant adverse performance, whereas CPU index exhibits positive impact. However, associations with score observed whole do not hold consistently across industries. This suggests that, while overarching trends might exist, individual sector characteristics varying external influences can shape relationship between factors performance. highlights importance context when analyzing practices different Furthermore, identified range influential financial parameters drive practices. Practical implications findings our study for many parties including policymakers, managers, governments, investors shareholders. Additionally, sector-specific policies may be needed to encourage sustainable practices, particularly industries sensitive environmental risks. Originality/value originality lies examination combined impact EPU, CPU, disclosure – rarely explored existing literature. Using MIDAS model, it provides more refined analysis by integrating both high- low-frequency data. also offers industry-specific insights, revealing how these uncertainties affect differently sectors. By incorporating drivers offering implications, research presents novel comprehensive approach under increasing global uncertainties.

Язык: Английский

Процитировано

0