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基于目标导向行为的高技术产业产品创新绩效 被引量:1

Product Innovation Performance of High-tech Industry Based on Goal-oriented Behavior
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摘要 以我国2008—2019年28个省份的高技术产业为研究对象,对相关数据进行剔除缺失值和熵值法处理,构建产品创新绩效、目标导向行为下研发人员和研发资金投入、战略能力、宏观经济调控等5个指标的面板向量自回归(PVAR)模型,并在建模基础上进行格兰杰因果检验、脉冲响应和方差分解,分析目标导向行为对于企业产品创新绩效的影响机制。结果表明,目标导向行为下的研发人员和研发资金投入均正向影响企业产品创新绩效,且研发资金投入影响更显著;战略能力主要通过对目标导向行为的作用机制间接正向促进产品创新绩效,但在长期有弱化趋势;宏观经济政策调控对目标导向行为的直接贡献率较小,其影响机制主要在于直接正向促进企业产品创新绩效。 By taking the high-tech industries in 28 provinces in China from 2008 to 2019 as the research object, and dealing with relevant data through removing missing values and entropy value methods, the paper constructs a panel vector auto regression(PVAR) model with five indicators including product innovation performance, R&D personnel and R&D capital investment under goal-oriented behavior, strategic capability, and macroeconomic control. On the basis of modeling, Granger causality test, impulse response and variance decomposition are carried out to analyze the impact mechanism of goal-oriented behavior on enterprise product innovation performance. The research results show that: both R&D personnel and R&D capital investment under goal-oriented behavior positively affect the product innovation performance of enterprises, and the impact of R&D capital investment is more significant;strategic capability mainly indirectly and positively promotes product innovation performance through the mechanism of action on goal-oriented behavior, but there is a weakening trend in the long run;the direct contribution rate of macroeconomic policy regulation to goal-oriented behavior is small, and its impact mechanism is mainly to directly and positively promote the performance of enterprise product innovation.
作者 崔庆安 李晓艳 Cui Qing'an;Li Xiaoyan(School of Management Engineering,Zhengzhou University,Zhengzhou 450001,China;School of Economics and Management,Shanghai Maritime University,Shanghai 201306,China)
出处 《科技管理研究》 CSSCI 北大核心 2022年第7期144-152,共9页 Science and Technology Management Research
基金 国家自然科学基金面上项目“函数型参数的实验设计及建模优化研究”(71571168) 国家自然科学基金河南省联合基金重点项目“大数据生产过程质量智能控制与优化方法研究”(U1904211) 科技部创新方法工作专项项目“‘端端驱动、融合赋能’创新方法新系统研究与应用示范”(2019IM020200)。
关键词 产品创新绩效 目标导向行为 高技术产业 面板向量自回归模型 product innovation performance goal-oriented behavior high-tech industry PVAR model
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