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综合性国家科学中心知识创新高水平收敛效应研究

A Study on the High-Level Convergence Effect of Knowledge Innovationin Comprehensive National Science Centers
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摘要 作为国家创新体系和重大战略科技力量的重要组成部分,综合性国家科学中心(简称科学中心)在中国科技创新事业发展过程中肩负着多重使命。本文旨在考察科学中心建设对区域知识创新及其收敛性产生的影响。本研究基于中国城际面板数据,采用双重差分估计,对科学中心实施效果展开评估。研究发现:①基础效应层面。科学中心建设促进城市知识创新“量质齐升”。其中,财政科技投入与科技从业人数增加是其重要机制,而高能级平台数量正向调节这一积极影响。②网络效应层面。科学中心建设增加了城市与科研合作网络中的直接联系,强化了中心位置特征,在一定程度上削弱了自身的结构洞属性。③收敛效应层面。虽然科学中心通过地理邻近和科研合作渠道实现了知识扩散,但对区域知识收敛的促进作用有待进一步加强。 As a pivotal part of the national innovation system and a significant entity in strategic science and technology advancement,the Comprehensive National Scientific Center(referred to as the scientific center)plays diverse roles in China's innovation progression.This study aims to explore the influence of scientific center establishment on regional knowledge production and innovation convergence.Using intercity panel data from China,the research employs difference-in-differences estimation to assess the effects of the scientific center.Key findings show as follows.①For the basic effect,the establishment of scientific centers enhances both the quantity and quality of urban knowledge innovation,driven by increased fiscal investment and scientific workforce growth.High-level platforms also positively moderate this impact.②Concerning network effect,scientific center establishment bolsters direct city linkages in research collaboration networks,strengthening their central role and reducing structural holes.③On the convergence effect level,while scientific centers foster knowledge diffusion through geographic proximity and research partnerships,their role in promoting regional knowledge convergence needs further enhancement.
作者 杨浩东 王高峰 Yang Haodong;Wang Gaofeng(School of Humanities and Social Sciences,University of Science and Technology of China,Hefei 230026,China)
出处 《中国科技论坛》 北大核心 2024年第3期17-29,共13页 Forum on Science and Technology in China
关键词 知识创新 综合性国家科学中心 创新收敛 创新网络 知识溢出 Knowledge innovation Comprehensive National Science Center Innovation convergence Innovation network Knowledge spillover
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