摘要
科技创新新型举国体制是应对错综复杂国际环境和全面建成社会主义现代化强国使命任务的重大制度安排,厘清科技创新新型举国体制的多元投资主体关系对于推动有为政府与有效市场相结合具有重要意义。本文在分析科技创新新型举国体制的制度创新基础上,归纳不同实践场景下多元投资主体的基本格局,利用社会网络分析的网络拓扑结构、中心性、核心边缘分析和密度分析手段,对多元投资主体的网络结构、网络中心度以及网络的整体特征进行研究。结果表明,科技创新新型举国体制能充分调动市场与社会力量,各投资主体之间的信息、资源等流动加快,各投资主体间的联系更加紧密,企业在科技创新新型举国体制中将发挥更重要的作用。
The new nationwide system of scientific and technological innovation is a major institutional arrangement to cope with the complex international environment and the mission of building a great modern socialist country in an all-round way,it is of great significance to clarify the relationship between multiple investors in new nationwide system of scientific and technological innovation for promoting the combination of effective government and efficient market.Based on the analysis of the institutional innovation of the new nationwide system of scientific and technological innovation,this paper summarizes the basic pattern of multiple investors in different practice scenarios,and studies the network structure,network centrality and overall characteristics of multiple investors by using the network topology,centrality,core-edge analysis and density analysis methods of social network analysis.The results show that the new nationwide system of scientific and technological innovation fully mobilizes the market and social forces,and the flow of information and resources among the investment subjects is accelerated,and the connection among the investment subjects is closer.Enterprises will play a more important role in the new nationwide system of scientific and technological innovation.
作者
程翔
王宇琳
张明喜
Cheng Xiang;Wang Yulin;Zhang Mingxi(Beijing Union University,Beijing 100101,China;China Academy of Science and Technology Development Strategy,Beijing 100038,China)
出处
《中国科技论坛》
北大核心
2024年第5期1-12,共12页
Forum on Science and Technology in China
基金
北京市社会科学规划一般项目“大数据驱动下的北京市科技金融政策精准治理研究”(20JJB005)。
关键词
科技创新新型举国体制
多元投资主体
关联模式
社会网络分析
The new nationwide system of scientific and technological innovation
Multiple investment subject
Connection model
Social network analysis