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How Can Intelligent Manufacturing Improve the Carbon Total Factor Productivity of Enterprises: From the Perspective of Factor Input Cost and Structure
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Yuyan Wang, Chenxin Tang
Journal of Technology Economics | 2025, 44(7) : 76 - 92
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Journal of Technology Economics | 2025, 44(7): 76-92
Enterprise Technology Economics
How Can Intelligent Manufacturing Improve the Carbon Total Factor Productivity of Enterprises: From the Perspective of Factor Input Cost and Structure
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Yuyan Wang, Chenxin Tang
Affiliations
  • School of Economics, Anhui University, Hefei 230601, China
Published: 2025-07-25 doi: 10.12404/j.issn.1002-980X.J24061401
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The report of the 20th National Congress of the Communist Party of China emphasizes the promotion of high-end, intelligent, and green development in the manufacturing industry. Based on the GML-SBM and SBM-DDF models, the carbon total factor productivity(CTFP) of manufacturing A-share listed companies from 2012 to 2022 was calculated. The impact and channels of intelligent manufacturing on enhancing enterprise CTFP were explored from both input and application perspectives. It is found that intelligent manufacturing significantly improves enterprise CTFP, with technological efficiency change being the main driving force. Intelligent manufacturing primarily enhances enterprise CTFP through four pathways: reducing capital and labor usage costs, promoting capital deepening, and improving capital output efficiency. The impact and channels are stronger for young enterprises and non-state-owned enterprises, enterprises in highly competitive industries and technology-intensive industries, enterprises in regions with high levels of intellectual property protection, and enterprises in industrial bases. The findings provide policy insights for the implementation of intelligent manufacturing strategies and the achievement of “dual carbon” targets, and have significant reference value for the intelligent transformation of manufacturing enterprises.

intelligent manufacturing  /  total factor productivity of carbon  /  element input  /  element cost  /  element structure
Yuyan Wang, Chenxin Tang. How Can Intelligent Manufacturing Improve the Carbon Total Factor Productivity of Enterprises: From the Perspective of Factor Input Cost and Structure[J]. Journal of Technology Economics, 2025 , 44 (7) : 76 -92 . DOI: 10.12404/j.issn.1002-980X.J24061401
Year 2025 volume 44 Issue 7
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doi: 10.12404/j.issn.1002-980X.J24061401
  • Receive Date:2024-06-14
  • Online Date:2025-09-05
  • Published:2025-07-25
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  • Received:2024-06-14
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    School of Economics, Anhui University, Hefei 230601, 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
species
占总种数比例
Percentage of
total species (%)

Genus
种数
Number of
species
占总种数比例
Percentage of total
species (%)
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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