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How Artificial Intelligence Empowers the Strengthening, Optimization, and Expansion of the Real EconomyA Quasi-natural Experiment Based on National New-generation Artificial Intelligence Innovation Development Zones and Enterprise Capacity Utilization
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Dingyun Ji1, 2, Shuyu Liu1, 2, Xinxiao Ma1, 2
Journal of Technology Economics | 2026, 45(7) : 19 - 33
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Journal of Technology Economics | 2026, 45(7): 19-33
• Financial and Accounting Issues in the AI Era: Perspectives from History, Institutions and Openness •
How Artificial Intelligence Empowers the Strengthening, Optimization, and Expansion of the Real EconomyA Quasi-natural Experiment Based on National New-generation Artificial Intelligence Innovation Development Zones and Enterprise Capacity Utilization
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Dingyun Ji1, 2, Shuyu Liu1, 2, Xinxiao Ma1, 2
Affiliations
  • 1.College of Management, Ocean University of China, Qindao 266100, China
  • 2.China Enterprise Working Capital Management Research Center, Ocean University of China, Qindao 266100, China
Published: 2026-07-25 doi: 10.12404/j.issn.1002-980X.J26032404
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In the context of the system of digital and real integration, artificial intelligence technology is an important driving force to promote the productivity utilization of real enterprises and achieve the goal of becoming A quasi-natural experiment was conducted based on the establishment of National New Generation Artificial Intelligence Innovation and Development Pilot Zones. Data from Chinese A-share listed companies from 2010 to 2024 were analyzed. The main findings are as follows. First, the establishment of the pilot zones significantly improved enterprise capacity utilization, with an estimated economic increase of approximately 1.04%. Effective empowerment of the real economy toward output enhancement and efficiency improvement was thereby achieved. Second, mechanism tests indicated that artificial intelligence application improved capacity utilization through three channels: operational efficiency enhancement, technology upgrading facilitation, and production-sales fluctuation reduction. Third, pathway tests showed that the pilot policy promoted the optimization of talent structures and increased patent outputs. Fourth, heterogeneity analyses based on enterprise characteristics revealed that the above effects were more pronounced among private enterprises, firms with higher corporate governance levels, and smaller-scale enterprises. Fifth, heterogeneity analyses based on external institutional environments showed that the policy's positive effect on capacity utilization was stronger under conditions of higher marketization, non-coastal regional locations, and operation in strategic emerging industries. Sixth, economic consequence tests indicated that after driving capacity utilization improvement, the pilot policy significantly enhanced corporate economic performance, increased social contributions, and expanded employment scale. An innovative extension was made to the academic literature on the economic consequences of artificial intelligence development. Policy references were also provided for the Party and the state regarding the empowerment, strengthening, and expansion of the real economy through artificial intelligence.

national new-generation artificial intelligence innovation and development pilot zone  /  capacity utilization  /  number real fusion  /  artificial intelligence  /  operational efficiency  /  technology update  /  real economy
季丁筠, 刘书妤, 马新啸. 人工智能何以赋能做强做优做大实体经济?——基于国家新一代人工智能创新发展试验区的准自然实验和企业产能利用率的视角. 技术经济, 2026 , 45 (7) : 19 -33 . DOI: 10.12404/j.issn.1002-980X.J26032404
Dingyun Ji, Shuyu Liu, Xinxiao Ma. How Artificial Intelligence Empowers the Strengthening, Optimization, and Expansion of the Real EconomyA Quasi-natural Experiment Based on National New-generation Artificial Intelligence Innovation Development Zones and Enterprise Capacity Utilization[J]. Journal of Technology Economics, 2026 , 45 (7) : 19 -33 . DOI: 10.12404/j.issn.1002-980X.J26032404
Year 2026 volume 45 Issue 7
40
5
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doi: 10.12404/j.issn.1002-980X.J26032404
  • Receive Date:2026-03-26
  • Online Date:2026-10-28
  • Published:2026-07-25
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  • Received:2026-03-26
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    1.College of Management, Ocean University of China, Qindao 266100, China
    2.China Enterprise Working Capital Management Research Center, Ocean University of China, Qindao 266100, 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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