融合创新视角下人工智能对企业产能的影响

陈字理; 朱桂龙

doi:10.19571/j.cnki.1000-2995.2026.10.003

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科研管理 ›› 2026, Vol. 47 ›› Issue (10) : 21-29. DOI: 10.19571/j.cnki.1000-2995.2026.10.003 CSTR: 32148.14.kygl.2026.10.003

融合创新视角下人工智能对企业产能的影响

陈字理 ,
朱桂龙

作者信息 +

The impact of artificial intelligence on enterprise production capacity from the perspective of integrated innovation

Chen Zili ,
Zhu Guilong

Author information +

文章历史 +

摘要

促进人工智能与制造业深度融合是推动制造业高质量发展的关键环节,也是提高产能利用率的重要抓手。本文基于2008—2022年沪深两市A股制造业企业样本,利用Python文本分析技术测度人工智能指标,使用面板固定效应模型探究人工智能与制造技术的融合创新对产能利用率的影响及其在不同技术类型下的异质性表现。结果显示:(1)人工智能技术创新与制造技术创新都能显著提高产能利用率,两者的融合创新有助于进一步提升产能利用率;(2)相比较于利用性制造技术,人工智能与探索性制造技术的融合创新所带来的产能提升效应更为明显;(3)人工智能与制造技术的融合创新通过提高资产柔性与产品竞争力对产能利用率产生积极影响。本文有助于增进对人工智能赋能特性的理解,为如何提高产能利用率提供有益启示。

Abstract

Promoting the deep integration of artificial intelligence (AI) and manufacturing is critical for driving high-quality development in the manufacturing sector and enhancing capacity utilization. Using a sample of A-share manufacturing firms listed on the Shanghai and Shenzhen stock exchanges between 2008 and 2022, this study applies Python text analysis to construct AI metrics and employs a panel fixed-effects model to investigate how the integrated innovation of AI with manufacturing technology impacts capacity utilization and its heterogeneous effects across technology types. The findings reveal that AI technology innovation and manufacturing technology innovation both significantly improve capacity utilization, with their integration yielding an even greater enhancement. Compared to exploitative manufacturing technologies, the integrated innovation of AI with exploratory manufacturing technologies produces a more pronounced capacity-enhancing effect. The integrated innovation of AI with manufacturing technology positively affects capacity utilization by improving asset flexibility and product competitiveness. This study contributes to the understanding of AI's enabling characteristics and offers valuable insights for improving capacity utilization.

导出引用

陈字理, 朱桂龙. 融合创新视角下人工智能对企业产能的影响[J]. 科研管理. 2026, 47(10): 21-29 https://doi.org/10.19571/j.cnki.1000-2995.2026.10.003

Chen Zili, Zhu Guilong. The impact of artificial intelligence on enterprise production capacity from the perspective of integrated innovation[J]. Science Research Management. 2026, 47(10): 21-29 https://doi.org/10.19571/j.cnki.1000-2995.2026.10.003

中图分类号： F273.1;F425

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