摘要
制造业企业应用大数据技术可以改善创新决策、改进创新模式、优化创新流程、降低创新风险、提升创新效率,能够提高创新资源获取能力和创新要素配置效率,并有利于企业与外部主体之间以及内部员工之间的知识共享,从而促进技术创新。基于“技术水平”和“技术应用”两个层面的关键词词典测度大数据技术应用水平,采用沪深A股制造业上市公司2013—2022年数据分析发现:我国制造业企业大数据技术应用水平持续提升,并存在东部较高、中部居中、西部较低的地区差异,大数据技术应用显著提升了制造业企业技术创新水平,其中存在优化创新要素配置和强化知识共享两条路径,大数据技术应用对非绿色技术创新的促进效应更大,对国有企业、非重污染行业企业的技术创新促进效应更大,对资本密集型行业企业的技术创新促进效应比技术密集型行业企业更大,但对劳动密集型行业企业没有显著影响。因此,应促进各类企业的大数据技术应用,并充分发挥其要素配置优化效应和知识共享强化效应,尤其要强化大数据技术应用对绿色技术创新的促进作用。
With the booming development of the digital economy and the maturity of digital technologies such as big data,the application of big data technology in manufacturing enterprises can optimize innovation factor allocation,promote knowledge sharing,empower innovation mode transformation,and enhance technological innovation level.However,there is a relative scarcity of studies focusing on the technological innovation effects of big data technology applications in manufacturing enterprises,and systematic analyses of their underlying mechanisms are even rarer.This paper takes Chinese A-share listed manufacturing companies in Shanghai and Shenzhen from 2013 to 2022 as the research object and explores the impact and mechanism of big data technology application on the technological innovation of manufacturing enterprises from both theoretical and empirical perspectives.The research finds that the level of big data technology application in Chinese manufacturing enterprises shows an upward trend over time,and there are regional differences.The application of big data technology can significantly promote technological innovation in manufacturing enterprises.The application of big data technology promotes technological innovation in manufacturing enterprises by optimizing innovation factor allocation and facilitating knowledge sharing.The promotion effect of the big data technology application on non-green technology innovation in manufacturing enterprises is greater.The promotion effect of the big data technology application on technological innovation is greater in state-owned enterprises and non-heavy pollution enterprises.The promotion effect of big data technology application on technological innovation is more significant in capital-intensive and technology-intensive enterprises.Compared with previous literature,the main marginal contributions of this paper are as follows.Firstly,from the research perspective,the paper analyzes the impact of big data technology applications on technological innovation in manufacturing
作者
孙献贞
SUN Xian-zhen(School of Economics,Zhejiang University of Finance&Economics,Hangzhou 310018,Zhejiang,China)
出处
《西部论坛》
CSSCI
北大核心
2024年第6期64-77,共14页
West Forum
基金
浙江省哲学社会科学规划青年一般课题(24NDQN054YB)。
关键词
大数据技术应用
技术创新
创新要素配置
知识共享
制造业企业
big data technology application
technological innovation
innovation factor allocation
knowledge sharing
manufacturing enterprises
