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作 者:杨武[1] 田雪姣 YANG Wu;TIAN Xuejiao(University of Science and Technology Beijing,Beiiing,China)
机构地区:[1]北京科技大学东凌经济管理学院
出 处:《管理学报》2018年第8期1187-1195,共9页Chinese Journal of Management
基 金:国家自然科学基金资助项目(71273025)
摘 要:基于古典循环和增长率循环的合成指数方法,进行高技术产业科技创新水平和产业发展水平分类指数的合成。运用向量自回归模型(VAR)、脉冲响应函数、方差分解的方法,对中国高技术产业发展的科技创新驱动效应进行测度研究。研究表明,科技创新投入水平和产出效率对中国高技术产业竞争力的提升均具有正向驱动作用,科技创新投入水平的影响作用更大,说明中国高技术产业科技创新产出整体质量较低。科技创新对高技术产业规模的驱动效应明显小于其对产业竞争力的影响,这表明中国高技术产业资源分配不均、发展参差不齐,且竞争较激烈。此外,高技术产业竞争力对科技创新的影响作用整体呈倒U型关系,产业规模对科技创新存在波动性刺激作用。The synthesis index of the technology innovation classification and the development classification of high technology industry are carried out through the synthesis index method based on the classical circulation and the growth rate cycle. Vector autoregressive model (VAR), impulse re- sponse function and variance decom- position method are used to measure the driving effect of techno- logical innovation in China's high-tech industries from 1995 to 2015. Results show that both the inno- vation investment level and output efficiency of technology innovation in China's high-tech industry have positive roles in the improvement of industrial competitiveness, and the impact of input level is more significant, which indicates that the technology innovation output quality of China's high-tech industrial is slightly lower. The promotion effect of scientific and technological innovation on the scale of high-tech industry is weaker than the promotion of industrial competitiveness. It shows that China' s high-tech industry has uneven distribution of resources, uneven development and fierce competition environment. Furthermore, the impact of high technology industry competitiveness on the innovation of science and technology has a u-shaped relationship, and the industry scale has a volatility stimula- ting effect on scientific and technological innovation.
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