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Artificial intelligence policies and corporate green development: evidence on impact mechanisms

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  • Du, Mingze
  • Niu, Zhenjie
  • Wang, Dehui

Abstract

Artificial intelligence (AI) is a key driver of China’ s green transition and high-quality development. This paper evaluates the impact of the New Generation AI Pilot Zone policy on firms’ green total factor productivity (GTFP) under the “dual carbon” and Digital China agendas. Using panel data on Chinese listed firms from 2010–2023 and a multi-period difference-in-differences model, we find that the policy significantly raises firms’ GTFP, and the results are robust to a series of alternative specifications. Mechanism analysis shows that improved credit access, stronger green innovation, more efficient resource allocation, lower agency costs, and higher government subsidies are important transmission channels. The effect is amplified in industries and regions with higher concentration, more robust digital infrastructure, deeper digital transformation, and higher marketization. These findings suggest that AI industrial policy can simultaneously promote digital upgrading and green productivity, providing institutional support for China’s sustainable growth.

Suggested Citation

  • Du, Mingze & Niu, Zhenjie & Wang, Dehui, 2026. "Artificial intelligence policies and corporate green development: evidence on impact mechanisms," Economic Analysis and Policy, Elsevier, vol. 91(C), pages 938-953.
    • Handle: RePEc:eee:ecanpo:v:91:y:2026:i:c:p:938-953
    DOI: 10.1016/j.eap.2026.04.002
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