人工智能驱动制造业高质量发展的复合效应研究——基于知识创造与知识地理溢出的双重机制
Research on the Compound Effect of Artificial Intelligence Driving the High-Quality Development of Manufacturing Industry——Based on the Mechanism of Knowledge Creation and Knowledge Geographical Spillover
徐星 1惠宁 2韩先锋 3崔若冰4
作者信息
- 1. 西北大学经济管理学院, 陕西 西安 710127;长安大学经济与管理学院, 陕西 西安 710064
- 2. 西北大学经济管理学院, 陕西 西安 710127
- 3. 昆明理工大学管理与经济学院, 云南 昆明 650093
- 4. 西安紫光国芯半导体股份有限公司, 陕西 西安 710075
- 折叠
摘要
人工智能作为新一轮产业变革的核心驱动力,对于推动我国制造业高质量发展具有战略意义.本文从技术创新的视角出发,剖析人工智能通过知识创造机制、知识地理溢出机制,提升制造业生产效率的复合效应.利用2012-2021 年四大智能制造与数字经济发展先行区的省域面板数据,通过随机前沿生产函数和中介效应模型验证了上述的复合效应.研究结果表明:在组织层面,应当以制造业产业集群为人工智能应用的主体形式;在区域层面,注重区域的软、硬制度要素的构建,推动区域的数字化水平提升和新基建的建设.只有这样,才能充分发挥人工智能对于制造业生产效率提升的势能,促进人工智能在区域的长期"根植性".
Abstract
Being the core engine for industry reform,artificial intelligence was the strategic power to improve the high-quality develop-ment of manufacturing industry of China.From the perspective of technology innovation,we analyzed the compound effect between artifi-cial intelligence and enhance of production efficiency of manufacturing industry through the mechanism of knowledge creation and knowl-edge spatial spillover.Based on the provincial panel data from 2012 to 2021 in four well-developed digital-manufacture regions,we used the frontier model and mediate effect model to verify the significance of compound effect proposed by the hypothesis above.The result re-flected as follows:From the aspect of industry organization,manufacturing industry cluster plays an significant role in the application of artificial intelligence.On the other hand,from the aspect of regional level,we need to establish the proper regional institution and in-frastructure which is called"soft-core institutional factor",and improve the regional digitization and construct the new infrastructure.Therefore,we could release potential ability of artificial intelligence and promote the geographic embeddedness of artificial intelligence.
关键词
人工智能/制造业高质量发展/复合效应/知识创造/知识地理溢出Key words
Artificial intelligence/Compound effect/High-quality development/Knowledge creation/Knowledge spillover引用本文复制引用
基金项目
国家社会科学基金一般项目(20CGL061)
陕西省社会科学基金重大项目(2023ZD01)
陕西省社会科学基金(2019D003)
出版年
2024
NETL
NSTL
万方数据