Skip to content
Open access

Institutional Empowerment: How National Pilot Zones for Innovative Development of Artificial Intelligence Affect Corporate ESG Performance?

Aug 2026 · Business and Management Perspectives · 0 citations · 21 references

Abstract

Artificial intelligence (AI) is increasingly viewed as a lever for the low-carbon transition, yet little is known about whether policy interventions that build AI capacity translate into better corporate environmental, social, and governance (ESG) outcomes. Exploiting the designation of National Pilot Zones for Innovative Development of Artificial Intelligence (NPAI) as a quasi-natural experiment, we study A-share listed firms in China over the period 2009–2023 using a multi-period difference-in-differences (DID) design. The estimates show that locating in an NPAI city raises a firm’ s ESG score, and this result survives several robustness exercises-event-study parallel-trend tests, placebo permutations, and a propensity-score-matched DID specification. We further document three channels-resource allocation, green innovation, and digital transformation-through which the policy operates. The effect is concentrated among firms in eastern China, those whose executives pay closer attention to environmental matters, and non-state-owned enterprises. The findings speak to how emerging economies can pair AI industrial policy with sustainability objectives.

Read PDF

Similar papers

Sep 2026

The Effect and Mechanism of Artificial Intelligence Applications on Enterprise Market Power in China

This study employs the establishment of China's national new-generation AI innovation pilot zones as a quasi-natural experiment. Using data from A-share listed companies between 2006 and 2024, it conducts a systematic examination using a staggered difference-in-differences model. Our estimates indicate a robust positiv...

Pei-Wen Li, Xue-Ping Wang, Jia-Rong Li et al. · 0 citations
Sep 2026

Artificial Intelligence Pilot Zones and Sustained Green Innovation: Evidence from Chinese Manufacturing Firms

This paper examines whether China’s National New Generation Artificial Intelligence Innovation and Development Pilot Zone program (AI pilot zones) strengthens Persistence-Weighted Green Invention index (PWGI) among listed manufacturing firms. We link 36,287 firm-year observations from 2006 to 2024 to staggered city-lev...

Ming Zhang, Liang-Can Mao, Zhi-Hong Zhang et al. · 0 citations
Open access Oct 2026

The Impact of Artificial Intelligence Demonstration Zone Policies on the Green Innovation Resilience of Manufacturing Firms

Using firm-level panel data from Chinese A-share-listed manufacturing firms over the period 2019–2024, this study exploits the staggered implementation of the National New-Generation Artificial Intelligence Innovation and Development Demonstration Zones as a quasi-natural experiment. A multi-period difference-in-differ...

Li-Xing Liu, Chao-Bo Zhou · 0 citations
Open access Sep 2026

Can Artificial Intelligence Enhance Corporate Green Productivity? Evidence from Chinese Listed Firms

The positive association between AI adoption and firm value further indicates that its economic relevance may extend beyond environmental efficiency in the long term and highlight the potential of AI-enabled innovation to advance green productivity and sustainable corporate development in emerging economies.

Yun-Ji Zhang, Yang Yi, Zipan Cai · 0 citations
Open access Aug 2026

Does the Artificial Intelligence Pilot Zone Policy Enhance Manufacturing Firm Resilience? Evidence from Chinese Listed Manufacturing Firms

The Artificial Intelligence Pilot Zone Policy is an important strategic initiative for building artificial intelligence (AI) innovation hubs. It provides new opportunities to enhance manufacturing firm resilience and promote the sustainable development of the manufacturing sector. The creation of the National New-Gener...

Angang Gao, Hong-Jie Lu, Bo Qin · 0 citations
Open access Aug 2026

The role of generative AI in enhancing corporate ESG performance: evidence from China

The empirical results reveal that GAI adoption is positively associated with ESG performance, whereas DAI does not exhibit a similar relationship and offers valuable insights for policymakers and regulators into the distinct roles of generative and discriminative AI in shaping corporate ESG outcomes.

Tian Wang, Dong Lu, Yi-De Liu · 0 citations

We use cookies to run the site and, with your consent, for analytics and to show ads. See our Cookie Policy.