科技智囊Issue(7)：1-10,10.DOI:10.19881/j.cnki.1006-3676.2025.07.01
基于数据驱动的全球关键技术基础研究竞争格局测度、分析与建议
Data-Driven Measurement,Analysis,and Policy Recommendations on the Competitive Landscape of Basic Research in Global Key Technology Fields
摘要
Abstract
[Research purpose]Against the background of intensified global competition in science and technology and technological security,it is crucial to accurately measure the competitive landscape of basic research in key technological fields for national strategic layout.[Research method]Based on 26.509 million high-level scientific and technological literatures collected by WoS(Web of Science)authoritative databases in the past 10 years,it comprehensively employs bibliometric,thematic evolution and visualization analysis methods.Integrating SCP(structure-conduct-performance)analysis framework,it quantitatively measures the competitiveness of global key technology fields through a self-designed evaluation index system covering competition concentration,leading-edge degree,and influence.[Research conclusion]It finds that China and the United States have formed a"twin-peak"competitive landscape in key technology fields such as artificial intelligence and quantum computing,and the number of papers published in China's basic research in key technology fields has increased significantly,but there is still a certain gap between the highly cited papers and the efficiency of the transformation of basic research results compared with those of developed countries.At present,fundamental research in China's key technology fields is in urgent need of a core shift from"focusing on scale expansion"to"striving for quality improvement".关键词
关键技术/基础研究/竞争格局/高质量发展/SCP分析模型Key words
key technologies/basic research/competitive landscape/high-quality development/structure-conduct-performance analysis model分类
社会科学引用本文复制引用
顾天安,许斌,章东辉..基于数据驱动的全球关键技术基础研究竞争格局测度、分析与建议[J].科技智囊,2025,(7):1-10,10.基金项目
国务院发展研究中心2021年重大课题. （）
