The impact of artificial intelligence on corporate greenwashing: evidence from the New Generation of Artificial Intelligence Innovation and Development Pilot Zones Policy

This study employs the New Generation of Artificial Intelligence Innovation and Development Pilot Zones Policy (AIE policy) as a quasi-natural experiment to examine how firms deploy strategic greenwashing in the context of environmental information disclosure. A multi-period difference‑in‑differences model is utilized to assess the dynamic changes in firms’ greenwashing intensity before and after the AIE policy came into force. The results indicate that the AIE policy significantly contributes to reduced greenwashing levels. This inhibitory effect primarily operates by enhancing firms’ AI strategic orientation and AI technological capabilities. Notably, the suppressive effect is more pronounced for state‑owned enterprises, firms in heavily polluting industries, and those located in the eastern regions. This study concludes that an integrated environmental information disclosure regime linking policy, strategy, and technology is critical for corporate green transformation and high-quality development. The findings provide empirical support for synergistic environmental and AI policies while revealing how state-led emerging-tech initiatives reshape firms’ non-market strategies and disclosure ethics.

Authors

Institutions

Publication Details

Journal
Environmental Sciences Europe
Published
2025-11-26
DOI
https://doi.org/10.1186/s12302-025-01263-x
Citations
1
Primary Topic
Energy, Environment, Economic Growth
Type
article
Field-Weighted Citation Impact
3.13

Funders

Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

The impact of artificial intelligence on corporate greenwashing: evidence from the New Generation of Artificial Intelligence Innovation and Development Pilot Zones Policy

Xukuo Gao, Chenxi Zheng, Xiao Wang, Meng Sun
1 citations
Environmental Sciences Europe
Energy, Environment, Economic Growth
3.13
article

The impact of artificial intelligence on corporate greenwashing: evidence from the New Generation of Artificial Intelligence Innovation and Development Pilot Zones Policy

Xukuo Gao, Chenxi Zheng, Xiao Wang, Meng Sun
article en
1 citations

Abstract

This study employs the New Generation of Artificial Intelligence Innovation and Development Pilot Zones Policy (AIE policy) as a quasi-natural experiment to examine how firms deploy strategic greenwashing in the context of environmental information disclosure. A multi-period difference‑in‑differences model is utilized to assess the dynamic changes in firms’ greenwashing intensity before and after the AIE policy came into force. The results indicate that the AIE policy significantly contributes to reduced greenwashing levels. This inhibitory effect primarily operates by enhancing firms’ AI strategic orientation and AI technological capabilities. Notably, the suppressive effect is more pronounced for state‑owned enterprises, firms in heavily polluting industries, and those located in the eastern regions. This study concludes that an integrated environmental information disclosure regime linking policy, strategy, and technology is critical for corporate green transformation and high-quality development. The findings provide empirical support for synergistic environmental and AI policies while revealing how state-led emerging-tech initiatives reshape firms’ non-market strategies and disclosure ethics.

Environmental Sciences EuropeVol. 37(1)
Xi'an University of Architecture and Technology (CN), Xi'an Jiaotong University (CN)
Natural Science Foundation of Shaanxi Province, Yakult Bio-Science Foundation
Openalex Percentile: Top 6%
Energy, Environment, Economic Growth
3.13
AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.

The impact of artificial intelligence on corporate greenwashing: evidence from the New Generation of Artificial Intelligence Innovation and Development Pilot Zones Policy — Xukuo Gao, Chenxi Zheng, et al. · Environmental Sciences Europe (2025) | TGRS Research Map | TGRS