摘要
整合优化科技资源配置,提升基础研究效能是新型举国体制的战略要求。为探索提升中国基础研究效能驱动范式,基于资源配置理论,运用动态fsQCA方法就中国31个省域科技资源、配置方式和创新环境对基础研究效能的影响进行组态分析。结果发现:①存在3类高水平基础研究效能驱动范式,即资源导向型、双轨资源调配型和有为政府下平台服务-环境型;②中国基础研究效能存在明显的地域失衡及空间分化特征,依靠政府力量进行计划资源配置仍是当前中国推动基础研究发展的主要路径;③在特定客观禀赋条件下,配置方式与科技资源、创新环境维度下部分条件或条件组合之间存在等效替代效应。当前,双轨资源调配型是中国实现高水平基础研究效能驱动范式的主流变迁目标。
Integrating and optimizing the allocation of Scientific&Technological resources,improving the efficiency of basic research are the strategic requirements of China s new nationwide system.To explore the driving paradigm for improving the efficiency of basic research in China,based on the resource allocation theory,this study uses the dynamic fsQCA method to conduct a configuration analysis on the impacts of S&T resources,allocation methods and innovation environment on the efficiency of basic research in 31 inland provinces of China.The results show as follows.①There are three types of high-level basic research efficiency driven paradigms:resource-oriented,dual-track resource allocation,and platform&service-environment under active government participation.②There are obvious characteristics of regional imbalance and spatial differentiation in the efficiency of basic research in China,and relying on the government to plan resources allocation is still the main way to promote the development of basic research in China.③Under specific objective endowment conditions,there is an equivalent substitution effect between the allocation mode and some conditions or combinations under the dimensions of S&T resources and innovation environment.Dual-track resource allocation is the mainstream change goal of realizing the efficiency driven paradigm of high-level basic research in China.
作者
杨帮兴
杜宝贵
于晓玄
Yang Bangxing;Du Baogui;Yu Xiaoxuan(College of Humanities&Law,Northeastern University,Shenyang 110169,China)
出处
《中国科技论坛》
CSSCI
北大核心
2024年第11期8-19,共12页
Forum on Science and Technology in China
基金
科技部战略规划司基金项目“科技创新支撑引领东北振兴统计监测分析”(2022020200020)。
关键词
新型举国体制
基础研究
驱动范式
效能
New system for mobilizing resources nationwide
Basic research
Driving paradigm
Efficiency
