• 中国科学学与科技政策研究会
  • 中国科学院科技战略咨询研究院
  • 清华大学科学技术与社会研究中心
ISSN 1003-2053 CN 11-1805/G3

科学学研究 ›› 2017, Vol. 35 ›› Issue (11): 1639-1644.

• 科技发展战略与政策 • 上一篇    下一篇

基于不同层次的技术创新与技术进步的通径系数分析

徐国庆1,黄繁华2,3,刘佳3,4   

  1. 1. 南京大学
    2. 南京大学商学院
    3.
    4. 九江学院商学院
  • 收稿日期:2017-02-16 修回日期:2017-08-20 出版日期:2017-11-15 发布日期:2017-11-15
  • 通讯作者: 徐国庆

Path coefficient analysis on different level’s technological innovation and technological progress

  • Received:2017-02-16 Revised:2017-08-20 Online:2017-11-15 Published:2017-11-15

摘要: 技术创新依据其层次的高低,可分为高层次技术创新和低层次技术创新,其对技术进步的作用并不相同。文章采用通径分析方法,选取了高层次技术创新、低层次技术创新、技术模仿、技术溢出、逆向技术溢出等五个自变量对技术进步的影响作用展开分析。通过分析,发现在直接通径系数上,高层次技术创新的该数值最大;而在总间接通径系数上,低层次技术创新的该数值最大;在各自变量的间接通径系数上,不同自变量的该系数,表现出了不同的特点,但也存在着一些相似性。

Abstract: Technological innovation can be divided into high-level technological innovation and low-level technological innovation according to its level, and their effects on technological progress are not same. In this paper, the effects of five independent variables, such as high-level technological innovation, low-level technological innovation, technical imitation, technology spillover and reverse technology spillovers, on technological progress is analyzed by Path coefficient analysis. Though the analysis on the direct path coefficient, the value of the high-level technological innovation is the largest; and the value of the low-level technological innovation is the largest on the total indirect path coefficients; on the indirect path coefficients of each variable, the coefficients of the different independent variables show different characteristics, but they have some similarities.