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How Can Artificial Intelligence Policy Enable Corporate Sustainable Development Performance?Evidence from the National New Generation Artificial Intelligence Innovation and Development Pilot Zones
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Zhengwei Ma1, 2, Jinming Mo1
Journal of Technology Economics | 2026, 45(8) : 1 - 14
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Journal of Technology Economics | 2026, 45(8): 1-14
• Financial and Accounting Issues in the AI Era: Perspectives from History, Institutions and Openness •
How Can Artificial Intelligence Policy Enable Corporate Sustainable Development Performance?Evidence from the National New Generation Artificial Intelligence Innovation and Development Pilot Zones
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Zhengwei Ma1, 2, Jinming Mo1
Affiliations
  • 1.School of Business Administration, China University of Petroleum-Beijing at Karamay, Karamay 834000, China
  • 2.School of Economics and Management, China University of Petroleum-Beijing, Beijing 102249, China
Published: 2026-08-25 doi: 10.12404/j.issn.1002-980X.J26031701
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As the new round of scientific and technological revolution advances in tandem with the green and low-carbon transition, how to leverage industrial intelligence policies to simultaneously improve economic performance and environmental performance has become a critical issue for the long-term high-quality sustainable development of enterprises. Based on data from Chinese A-share listed companies from 2013 to 2024, and treating the National New Generation Artificial Intelligence Innovation and Development Pilot Zones as a quasi-natural experiment, a multi-period difference-in-differences method was employed to examine the impact of artificial intelligence policies on corporate sustainable development performance. The findings indicate that artificial intelligence policies significantly enhance corporate sustainable development performance. Mechanism tests show that artificial intelligence policies promote corporate sustainable development performance through two channels: stimulating corporate green innovation and optimizing capital allocation efficiency. Human capital positively moderates the enabling effect of artificial intelligence policies on corporate sustainable development performance. Heterogeneity analyses reveal that the enhancing effect of artificial intelligence policies on corporate sustainable development performance is more pronounced in high-tech industries, non-heavily polluting industries, and regions with low environmental regulatory intensity. Further analyses indicate that artificial intelligence policies generate spillover effects, which contribute to the improvement of sustainable development performance among other firms within the same industry and the same city. These conclusions not only elucidate the micro-mechanisms through which artificial intelligence policies enhance corporate sustainable development performance, but also provide policy implications for optimizing the strategic layout of artificial intelligence and promoting high-quality development.

artificial intelligence  /  sustainable development performance  /  high-quality development  /  National New Generation Artificial Intelligence Innovation and Development Pilot Zones  /  corporate innovation  /  capital allocation
马郑玮, 莫金铭. 人工智能政策何以赋能企业可持续发展绩效?——来自国家新一代人工智能创新发展试验区的证据. 技术经济, 2026 , 45 (8) : 1 -14 . DOI: 10.12404/j.issn.1002-980X.J26031701
Zhengwei Ma, Jinming Mo. How Can Artificial Intelligence Policy Enable Corporate Sustainable Development Performance?Evidence from the National New Generation Artificial Intelligence Innovation and Development Pilot Zones[J]. Journal of Technology Economics, 2026 , 45 (8) : 1 -14 . DOI: 10.12404/j.issn.1002-980X.J26031701
Year 2026 volume 45 Issue 8
41
10
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Article Info
doi: 10.12404/j.issn.1002-980X.J26031701
  • Receive Date:2026-03-17
  • Online Date:2026-10-28
  • Published:2026-08-25
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  • Received:2026-03-17
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Affiliations
    1.School of Business Administration, China University of Petroleum-Beijing at Karamay, Karamay 834000, China
    2.School of Economics and Management, China University of Petroleum-Beijing, Beijing 102249, China
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表12种不同金属材料的力学参数
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Family
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Number of
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Number of
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鹅膏菌科Amanitaceae 2 11 5.26 鹅膏菌属 Amanita 10 4.78
小菇科 Mycenaceae 2 12 5.74 丝盖伞属 Inocybe 5 2.39
多孔菌科 Polyporaceae 8 14 6.70 蜡蘑属 Laccaria 5 2.39
红菇科 Russulaceae 3 23 11.00 小皮伞属 Marasmius 6 2.87
小菇属 Mycena 11 5.26
光柄菇属 Pluteus 5 2.39
红菇属 Russula 17 8.13
栓菌属 Trametes 5 2.39
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