摘要
高校是社会创新体系的主要组成部分,研究其研发(R&D)投入与创新绩效的关系可以更加合理地分配有限的社会资源,提升高校的创新能力。将高校创新绩效定义为科技创新、学术创新和经济创新三个维度。以2008~2017年我国30个省的相关面板数据作为研究样本,通过多指标面板数据因子分析对R&D投入"降维",在此基础上构建面板数据模型探究高校R&D投入对其创新绩效的影响。结果表明:就全国总体水平而言,高校R&D投入对其创新绩效有高度显著的促进效应。其中,对经济创新绩效的促进作用最为明显,科技创新绩效次之,对学术创新绩效的影响最弱。对区域水平而言,东部地区的高校R&D投入对其创新绩效的促进作用较为显著,且远高于全国平均水平;而中西部高校的创新绩效受R&D投入的影响不明显,且远低于全国平均水平。
The university is a major component of the social innovation system,studying the relationship of colleges and universities between R&D investment and innovation performance can allocate more limited social resources to more effectively,and enhance the innovation ability.This study defines innovation performance of the university with three dimensions:technological innovation,academic innovation and economic innovation.In addition,the paper takes relevant panel data of 30 provinces from 2008 to 2017 as the research sample and conducts multi-indicator panel data factor analysis on R&D investment.By“dimension reduction”,this paper constructs panel data model to explore the impact of university R&D investment on its innovation performance.The results show that university R&D investment has a highly significant effect on its innovation performance for the overall level of the country.Among them,the promotion of economic innovation performance is the most obvious,science and technology innovation is the second,and academic innovation is weakest.For the regional level,university R&D investment in the eastern region has a significant effect on the innovation performance,and is much higher than the national average.While the innovation performance in the central and western region is not significantly affected by university R&D investment,and is far below the national average.
作者
李佳
韩军辉
LI Jia;HAN Junhui(College of Economics and Management,Taiyuan University of Technology,Jinzhong 030600,Shanxi,China)
出处
《实验室研究与探索》
CAS
北大核心
2020年第4期225-228,248,共5页
Research and Exploration In Laboratory
基金
山西省软科学项目(2018041058-4)。
关键词
高校R&D投入
多维度创新绩效
因子分析
面板数据模型
university R&D investment
multi-dimensional innovation performance
factor analysis
panel data model
