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Impact of Industrial Intelligence on Capacity Utilization of Enterprises: Empirical Evidence Based on Listed Manufacturing Companies
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Bin Xu1, 2, Bo Lü2
Journal of Technology Economics | 2024, 43(9) : 126 - 140
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Journal of Technology Economics | 2024, 43(9): 126-140
Technology Economics Evaluation
Impact of Industrial Intelligence on Capacity Utilization of Enterprises: Empirical Evidence Based on Listed Manufacturing Companies
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Bin Xu1, 2, Bo Lü2
Affiliations
  • 1 School of Tourism and Economic Management Nanchang Normal University Nanchang 330013 China
  • 2 School of Applied Economics (Digital Economy) Jiangxi University of Finance and Economics Nanchang 330013 China
Published: 2024-09-10 doi: 10.12404/j.issn.1002-980X.J23081709
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The rapid development of digital technology has eased the pressure on manufacturing. In order to prove that industrial intelligence can solve the problem of excess capacity of enterprises, the data of manufacturing enterprises listed on Shanghai and Shenzhen A-shares from 2011 to 2019 were used to study the impact of industrial intelligence on capacity utilization. The research results show that industrial intelligence can significantly improve the capacity utilization rate of enterprises, and the impact of industrial intelligence on capacity utilization of enterprises is still confirmed by using the "WinGo similar word database" to improve the measurement range of industrial intelligence indicators. Industrial intelligence can promote the improvement of the capacity utilization rate of enterprises by improving the efficiency of resource allocation, increasing the input of human capital elements and increasing the export demand of enterprises, and has a greater impact on non-state-owned enterprises, western regions, non-high-tech enterprises and technology-intensive enterprises.

industrial intelligence  /  capacity utilization rate  /  resource allocation efficiency  /  Human capital factor input  /  enterprise export demand
Bin Xu, Bo Lü. Impact of Industrial Intelligence on Capacity Utilization of Enterprises: Empirical Evidence Based on Listed Manufacturing Companies[J]. Journal of Technology Economics, 2024 , 43 (9) : 126 -140 . DOI: 10.12404/j.issn.1002-980X.J23081709
Year 2024 volume 43 Issue 9
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doi: 10.12404/j.issn.1002-980X.J23081709
  • Receive Date:2023-08-17
  • Online Date:2025-07-23
  • Published:2024-09-10
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  • Received:2023-08-17
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    1 School of Tourism and Economic Management Nanchang Normal University Nanchang 330013 China
    2 School of Applied Economics (Digital Economy) Jiangxi University of Finance and Economics Nanchang 330013 China
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表12种不同金属材料的力学参数

Family
属数
Number of
genus
种数
Number of
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占总种数比例
Percentage of
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Number of
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Percentage of total
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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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