科技资源配置何以促进高校创新效能增长?——基于31个省域的fsQCA分析
How Can the Allocation of S&T Resources Promote the Growth of Innovation Efficiency in Colleges and Universities?An Analysis of fsQCA Based on 31 Provinces in China
杨帮兴 1杜宝贵1
作者信息
- 1. 东北大学文法学院,辽宁沈阳 110169
- 折叠
摘要
高校是进行科技资源配置和科技原始创新的战略高地.为探究科技资源配置对高校创新效能发展的影响因素及组态路径,使用fsQCA方法,以31个省域高校为案例,就科技资源配置结构、配置方式和配置环境对高校创新效能的影响因素与组态路径进行研究.研究发现:任何单一科技资源配置条件均不构成影响高校高或低水平创新效能的必要条件;应用研究型路径、试验发展型路径和资源驱动型路径是导向高校高水平创新效能的三类组态范式;经济发展水平在促进高校高水平创新效能产出中普遍充当核心驱动条件,市场资源配置和计划资源配置相对普遍充当核心驱动条件;导向高校高或低水平创新效能产出的组态路径呈现出显著的地域时空差异.
Abstract
Colleges and universities are strategic highlands for science and technology resources allocation and original innovation.In order to explore the influencing factors and configuration paths of science and technology resources allocation on the high-quality development of innovation efficiency in colleges and universities,by using the fsQCA method and taking 31 provincial universities as cases,the influencing factors and configuration of the allocation structure,ways and environment of science and technology resources on the innovation efficiency in colleges and universities are explored.It is found that the applied research path,the experimental development path and the resources-driven path are three types of configuration paths that guide high innovation efficiency in colleges and universities,and none of them can alone constitute a necessary condition for influencing the high or low level of innovation efficiency in colleges and universities.Economic development level plays a universal core role in promoting the output of high innovation efficiency in colleges and universities,with market resources allocation and planned resources allocation commonly serving as the core driving conditions.Moreover,the configuration path leading to the output of high or low innovation efficiency shows significant regional and temporal differences.
关键词
科技资源配置/高校/创新效能Key words
allocation of scientific and technological resources/college and university/innovation efficiency引用本文复制引用
基金项目
辽宁省科学事业公益研究基金软科学研究计划(2022JH4/10100012)
辽宁省科协科技创新智库资助项目(LNKX2022B09)
出版年
2024
NETL
NSTL
万方数据