摘要
数字经济作为新一轮科技革命和产业变革的重要驱动力量,已经成为推动新质生产力发展的重要引擎。本文聚焦数字经济核心产业--电子信息产业的创新,以上市A股电子信息产业前百强企业的分析师报告为蓝本,运用文本信息挖掘的方法来审视中国数字经济整体创新以及创新类型的基本特征和发展趋势。结果显示:中国数字经济核心产业总体创新目前呈现出快速突进的特征,众多细分领域如5G技术、芯片制造、人工智能等突破式创新迸发,而在锂电池、电子屏显和光纤光缆等领域渐进式创新融合自研的颠覆性技术实现了典型意义的“弯道超车”。更为重要的是,基于分析师报告文本信息挖掘的方法测度创新,既克服专利策略性披露以及数字时代专利信息衡量创新滞后性等问题,也弥补没有公布专利创新测度的技术性遗漏问题,是一种方法论上的新突破。
As an important driving force for a new round of scientific and technological revolution and industrial transformation,the digital economy has become an important engine to promote the development of new quality productivity.Therefore,this paper focuses on the innovation of electronic information industry,the core industry of digital economy.Based on the analyst reports of the top 100 enterprises in the electronic information industry listed in A-shares,this paper uses the method of text information mining to examine the basic characteristics and development trend of the overall innovation and innovation types in China s digital economy.The results show that the overall innovation of the core industries of China s digital economy is currently showing the characteristics of rapid progress,radical innovations in many subdivisions such as 5G technology,chip manufacturing,artificial intelligence and other fields burst out,and incremental innovation and integration of self-developed disruptive technologies in the fields of lithium batteries,electronic display and optical fiber and cable have achieved a typical sense of“curve overtaking”.More importantly,the method of measuring innovation based on the text information mining of analyst reports not only overcomes the problems of patent strategic disclosure and patent information lag in the digital era,but also makes up for the technical omission of the measurement of patent innovation that has not been published,which is a new breakthrough in methodology.
作者
魏婕
宋宇航
任羽佳
Wei Jie;Song Yuhang;Ren Yujia(School of Digital Economics and Management,Nanjing University,Suzhou 215163,China;School of Economics and Management,Northwest University,Xi an 710127,China)
出处
《中国科技论坛》
CSSCI
北大核心
2024年第11期50-60,共11页
Forum on Science and Technology in China
基金
国家自然科学基金青年项目“知识—地理双模网络视角下中国知识复杂度的测度及对全要素生产率影响研究”(7210040759),国家社会科学基金重点项目“中国式创新的综合优势、模式演进及体制机制的经济学研究”(22AZD118),国家社会科学基金一般项目“双碳目标下数字技术驱动制造业绿色发展的机制与路径研究”(22BJL044)。
关键词
创新测度
文本信息挖掘
LDA主题模型
Innovation measurement
Text information mining
LDA topic model