Artificial Intelligence and Green Development: Evidence from Chinese Listed Firms DOI
Jiayang Wang, Yuhuan Zhao,

Yao Hai-tang

и другие.

Опубликована: Янв. 1, 2024

Artificial Intelligence (AI) as a key driving force of the new technological revolution and industrial transformation, whether it can significantly release effect green development has attracted much attention, is also an important proposition that theoretical research needs to be explored. Based on sample data from Chinese listed firms 2008 2019, this study investigates promote through AI investigate influencing mechanisms. This finds reduces energy pollution intensity in firms, thereby promoting development. primarily facilitates scale, technological, structural effects. Heterogeneity analysis shows positive impact more pronounced regions with stricter environmental regulations, lower levels, higher degrees digitalization. Further indicates "superstar" title enhance development, marginal likely due heightened attention receive investors, media, government. Additionally, bring significant social welfare where located, effectively regional energy-saving, reduction, steady improvement economic growth quality efficiency.

Язык: Английский

Constructing an environmental, social, and governance (ESG) metrics framework for assessing medical waste valorization alternatives: A novel integrated MCDM model under decomposed fuzzy environment DOI
Yin Ting Chu, Md. Abdul Moktadir, Jingzheng Ren

и другие.

Journal of Environmental Management, Год журнала: 2024, Номер 373, С. 123457 - 123457

Опубликована: Ноя. 29, 2024

Язык: Английский

Процитировано

1

Corporate ESG performance and the capital market’s information environment: evidence from analysts’ forecasts DOI Creative Commons
Wanyi Chen,

Zhongyi Xie,

Mingxin Huang

и другие.

Journal of Applied Economics, Год журнала: 2024, Номер 28(1)

Опубликована: Дек. 18, 2024

The role of ESG is not confined to investments, but extends the influence it exerts on capital markets. This study investigates impact corporate performance information environment. Our results show that as companies demonstrate higher performance, there a significant increase in analyst coverage, an enhancement accuracy public information, and reduction precision private information. Further analysis reveals market environment significantly state-owned companies, non-heavily polluting industries, eastern regions. only examines economic consequences from perspective market's environment, also provides practical guidelines for policymakers professionals finance sustainability optimize through development ESG.

Язык: Английский

Процитировано

1

Evaluating the Influence of ESG Ratings on the Corporate Operational Performance: Evidence from Commercial Banks in China DOI Open Access

Honglin Wang

Опубликована: Авг. 28, 2024

With growing global emphasis on sustainable development and social responsibility, Environmental, Social, Governance (ESG) ratings have emerged as critical metrics to evaluate commercial banks’ operating performance. The paper utilizes panel data spanning 2009 2022 from large state-owned joint-stock banks in China. It employs a two-way fixed effect model robustness tests, alongside tests for heterogeneity analysis moderating conduct empirical analysis. findings of the indicate that improvements ESG performance advantageous impacts performance, particularly with higher growth rate income Robustness including mixed regressions, Tobit variable substitutions, endogenous bias validated initial regression still hold. Tests reveal among banks, leverage, larger major shareholder ownership, scales, can significantly affect relationship exhibits positive. Furthermore, finds GDP rate, CPI analysts’ coverage strengthen between through effects. research provides policy proposals strategic recommendations tailored policymakers, investors, building these insights.

Язык: Английский

Процитировано

0

Is ESG improvement an efficient green solution for resource curse vulnerability of enterprise management? Evidence from fossil fuels extraction industry DOI

Shunli Ding,

Minghao Huang

Resources Policy, Год журнала: 2024, Номер 98, С. 105352 - 105352

Опубликована: Окт. 7, 2024

Язык: Английский

Процитировано

0

Artificial Intelligence and Green Development: Evidence from Chinese Listed Firms DOI
Jiayang Wang, Yuhuan Zhao,

Yao Hai-tang

и другие.

Опубликована: Янв. 1, 2024

Artificial Intelligence (AI) as a key driving force of the new technological revolution and industrial transformation, whether it can significantly release effect green development has attracted much attention, is also an important proposition that theoretical research needs to be explored. Based on sample data from Chinese listed firms 2008 2019, this study investigates promote through AI investigate influencing mechanisms. This finds reduces energy pollution intensity in firms, thereby promoting development. primarily facilitates scale, technological, structural effects. Heterogeneity analysis shows positive impact more pronounced regions with stricter environmental regulations, lower levels, higher degrees digitalization. Further indicates "superstar" title enhance development, marginal likely due heightened attention receive investors, media, government. Additionally, bring significant social welfare where located, effectively regional energy-saving, reduction, steady improvement economic growth quality efficiency.

Язык: Английский

Процитировано

0