中文摘要：

以高技术产业为例,建立了创新速度作用机制的理论框架,然后基于面板向量自回归模型和面板门槛回归模型,研究了创新速度的要素替代效应和门槛效应特征。结果表明：创新速度间接作用机制主要体现在,其加快了高技术产业创新对要素的替代效应,高技术产业的技术进步是节约劳动力的技术进步。创新速度的直接效应主要体现在其能给高技术产业带来效益,效益越高的高技术企业,其创新速度的弹性越高。在不同创新速度下,高技术产业资本和劳动力的弹性具有门槛效应：创新速度越高,资本的弹性系数越大,劳动力的弹性系数也越大,但是提高的程度要小于资本。我国高技术产业正处于转型期,资本和创新速度的弹性偏低,质量有待提高。向量自回归模型提供了一种新的计算技术进步偏向的思路。

英文摘要：

This paper takes the high tech industry for example,establishes the theoretical framework of innovation speed action mechanism. Then based on panel vector auto regression model and panel threshold regression model,this paper researches the factor substitution effect of innovation speed and the feature of threshold effect. The results show： the indirect action mechanism of innovation speed is mainly reflected in accelerating the substitution effect of high tech industry innovation on the factors,technological progress of high-tech industry is the technical progress of saving labor force. The direct effect of innovation speed is mainly reflected in bringing benefit to high- tech industry; the higher the benefit of high- tech enterprises,the higher the elasticity of the innovation speed. At different innovation speeds,the elasticity of capital and labor force in high- tech industry has a threshold effect： the higher the innovation speed,the bigger the elasticity of capital and labor force,but the improvement degree of labor force is less than that of capital. The high- tech industry in China is in the transition period,the elasticity of capital and innovation speed is low,and the quality needs to be improved. Vector auto regressive model provides a new way to calculate the progress of technology.