JOEBM 2026 Vol.14(1): 75-80
DOI: 10.18178/joebm.2026.14.1.912
How Artificial Intelligence Empowers Corporate Green Innovation: Mechanism and Evidence from China’s Manufacturing Industry
Ju Jin1, Yilin Zhang1,
and
Shen Zhong2
1. School of Finance and Public Administration, Harbin University of Commerce, Harbin, 150028, Heilongjiang, China
2. School of Finance, Harbin University of Commerce, Harbin, 150028, Heilongjiang, China
Email: 18686773309@163.com (Y.L.Z.)
*Corresponding author
Manuscript received October 15, 2025; accepted January 2, 2026; published February 27, 2026.
Abstract—Corporate Green Innovation (CGI) is essential for coping with environmental challenges and promoting economic growth. To explore whether and how the application of Artificial Intelligence (AI) can promote CGI, and which types of enterprises can benefit more from AI in enhancing CGI, this paper takes the establishment of China’s National New Generation AI Innovation and Development Pilot Zone (NAIPZ) as a quasi-natural experiment to examine the impact of AI on CGI. The results confirm that AI significantly promotes CGI, especially in the eastern region, non-SOEs, and industries with higher competition or lower financing constraints. Mechanism analysis emphasizes that corporate productivity and Internal Governance (IG) are key channels. Based on the research results, we suggest that promote the further development of CGI by reducing corporate productivity, formulating and implementing policy differently, helping disadvantaged enterprise to unite high competition and low-financing-constrained enterprises together. The research results provide a transferable implementation approach for governments and enterprise to promote CGI with AI.
Keywords—difference-in-differences method, double machine learning model, artificial intelligence, corporate green innovation, corporate productivity, internal governance
Cite: Ju Jin, Yilin Zhang, and Shen Zhong, "How Artificial Intelligence Empowers Corporate Green Innovation: Mechanism and Evidence from China’s Manufacturing Industry," Journal of Economics, Business and Management, vol. 14, no. 1, pp. 75-80, 2026.
Copyright © 2026 by the authors. This is an open access article distributed under the Creative Commons Attribution License which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited (CC BY 4.0).