Artificial Intelligence (AI) Adoption and Green Investment: Driving Corporate Environmental Responsibility

Rabia Akram, Xiaojing Shi, Fahad Khalid and Mohit Srivastava ()
Additional contact information
Rabia Akram: Guilin University of Electronic Technology
Xiaojing Shi: Zhengzhou University
Fahad Khalid: Guilin University of Electronic Technology
Mohit Srivastava: Métis Lab EM Normandie - EM Normandie - École de Management de Normandie = EM Normandie Business School

Post-Print from HAL

Abstract: Extant research has provided initial evidence on the application of artificial intelligence (AI) for corporate sustainable development. However, a research gap remains in understanding how AI specifically drives corporate green development, particularly in the realm of green investments. This research investigates the impact of AI adoption on corporate green investment (CGI) based on the sample of China's A‐share listed companies (2008–2022). By employing econometric techniques to examine panel data, an instrument variable with a two‐stage least squares approach, the Heckman selection model, and a series of robustness tests, this research finds that AI adoption positively correlates with CGI. The mechanism analysis reveals that AI adoption curbs managerial myopia and enhances technological resources to drive green investment levels. Moreover, the impact of AI adoption on CGI is pronounced when companies are headed by younger CEOs, those with higher education qualifications, and those with global exposure. This research enhances our overall comprehension of how digital innovation may be strategically utilized to promote sustainable development. It also provides significant insights for managers and policymakers who seek to facilitate environmentally friendly economic growth.

Date: 2025-07-08
References: Add references at CitEc
Citations:

Published in Business Strategy and the Environment, 2025, 34 (7), pp.9188-9202. ⟨10.1002/bse.70069⟩

There are no downloads for this item, see the EconPapers FAQ for hints about obtaining it.

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:hal:journl:hal-05576277

DOI: 10.1002/bse.70069

Access Statistics for this paper

More papers in Post-Print from HAL
Bibliographic data for series maintained by CCSD ().