摘要
基于中国31个省市2009~2016年的面板数据,建立PVAR模型,运用格兰杰因果检验、脉冲响应函数和方差分解等分析方法,研究研发投入、创新绩效和经济增长之间的相互作用关系,以及该相互作用关系在发达地区及欠发达地区之间的差异。实证结果表明:创新绩效和经济增长对研发投入存在显著的促进作用;创新绩效与经济增长之间存在显著的相互促进作用。在实证研究基础上,从提升研发投入到创新绩效的转化效率、重视研发投入与经济增长的相互作用机制、完善创新绩效经济价值转化3个方面提出相关对策。
Based on the panel data of the 31 provinces in China from 2009 to 2016,this paper establishes a PVAR model to study the dynamic interaction among research and development investment,innovation performance,and economic growth using Granger causality tests,impulse response function,and the variance decomposition analysis method.The empirical results show that innovation performance and economic growth significantly promote the increase in research and development investment.There is a significant mutual promotion between innovation performance and economic growth.Based on the empirical research,relevant countermeasures are proposed from three aspects:improving the conversion efficiency of research and development investment to innovation performance,attaching importance to the interaction mechanism between research and development investment and economic growth,and improving the transformation of economic value of innovation performance.
作者
苏屹
李丹
SU Yi;LI Dan(School of Economics and Management,Harbin Engineering University,Harbin 150001,China;School of Management,Zhejiang University,Hangzhou 310058,China)
出处
《系统管理学报》
CSSCI
CSCD
北大核心
2021年第4期763-770,共8页
Journal of Systems & Management
基金
国家自然科学基金资助项目(71774036)
教育部人文社会科学青年项目(18YJC630245)
黑龙江省社会科学基金资助项目(17GLH21,18GLB023)
黑龙江省自然科学基金资助项目(QC2018088)
中央高校基本科研业务费资助项目(3072020CFW0904)。
关键词
研发投入
创新绩效
经济增长
PVAR模型
research and development investment
innovation performance
economic growth
PVAR model