Computing Ripples: How AI Computing Power Drives the Sustainable ESG Progress of Chinese Corporations

Yan Chen (), Jiayi Lyu (), Zixuan Gao () and Yanfeng Li ()
Additional contact information
Yan Chen: School of Economics and Management, Beijing University of Posts and Telecommunications, Beijing, China
Jiayi Lyu: School of Economics and Management, Beijing University of Posts and Telecommunications, Beijing, China
Zixuan Gao: Department of International Development, King’s College London, London, England.
Yanfeng Li: School of Finance and Trade, Liaoning University, Liaoning Province, China,

Journal for Economic Forecasting, 2025, issue 2, 104-119

Abstract: This paper explores the long-term ripple effects of Artificial Intelligence Computing Power (AICP) on corporate Environmental, Social, and Governance (ESG) performance. Quantitative analysis reveals a complex interplay between China's AICP and corporate ESG performance. Moreover, the integration of AI computing power and ESG has generated widespread and profound "ripple effects" on global sustainable transformation and economic development. By delving into the dynamic interaction mechanisms between the two, this study unveils the mysteries behind these ripple effects. Finally, the findings offer meaningful policy recommendations for the synergistic development of digital intelligence and sustainability.

Keywords: Artificial Intelligence Computing Power; corporate ESG; sustainable development (search for similar items in EconPapers)
JEL-codes: C32 M14 O33 Q56 (search for similar items in EconPapers)
Date: 2025
References: Add references at CitEc
Citations:

Downloads: (external link)
https://www.ipe.ro/ftp/RePEc/rjef2_2025/rjef2_2025p104-119.pdf

Related works:
This item may be available elsewhere in EconPapers: Search for items with the same title.

Export reference: BibTeX RIS (EndNote, ProCite, RefMan) HTML/Text

Persistent link: https://EconPapers.repec.org/RePEc:rjr:romjef:v::y:2025:i:2:p:104-119

Access Statistics for this article

Journal for Economic Forecasting is currently edited by Lucian Liviu Albu and Corina Saman

More articles in Journal for Economic Forecasting from Institute for Economic Forecasting Contact information at EDIRC.
Bibliographic data for series maintained by Corina Saman ( this e-mail address is bad, please contact ).