北京航空航天大学学报(社会科学版) ›› 2018, Vol. 31 ›› Issue (2): 94-98,112.DOI: 10.13766/j.bhsk.1008-2204.2015.0450

• 经济与管理 • 上一篇    下一篇

中国科技创新动力研究

崔俊富1, 邹一南2, 陈金伟1   

  1. 1. 南京航空航天大学 经济与管理学院, 江苏 南京 210016;
    2. 中共中央党校 经济学教研部, 北京 100091
  • 收稿日期:2015-09-18 出版日期:2018-03-25 发布日期:2018-04-03
  • 作者简介:崔俊富(1982-),男,山东济宁人,博士,研究方向为宏观经济计量分析.
  • 基金资助:

    国家社会科学基金资助项目(15CJL033,08BJY014);国家自然科学基金资助项目(70972073);江苏省博士后科研资助项目(1402040C,1402041C)

Research on China Science and Technology Innovation Power

CUI Junfu1, ZOU Yinan2, CHEN Jinwei1   

  1. 1. College of Economics and Management, Nanjing University of Aeronautics and Astronautics, Nanjing Jiangsu 210016, China;
    2. Economic School, Party School of the Central Committee of C. P. C, Beijing 100091, China
  • Received:2015-09-18 Online:2018-03-25 Published:2018-04-03

摘要:

采用多元线性回归、岭回归、Lasso回归、人工神经网络和随机森林对中国科技创新的动力进行了对比分析。研究发现,在中国科技创新过程中,固定物力资本、人力资本、流动物力资本和制度因素都发挥了非常重要的作用。未来一段时期,中国应加强物力积累,强化人力储备,加大科技投入,锐意推动改革,增强中国的科技创新能力,推动中国经济平稳较快增长。

关键词: 科技创新, 创新动力, 科技投入, 多元线性回归, 岭回归, 随机森林

Abstract:

In this paper, we use multiple linear regression, ridge regression Lasso regression, artificial neural network and random forest to study the power of Chinese scientific and technological innovation. The study finds that fixed material factors, human factors, material flow factors and institutional factors have played very important roles in the process of technological innovation in China. China should strengthen material accumulation and human capital reserves, increase investments in technology, and promote reform, in order to enhance China's technological innovation and promote stable and rapid economic growth of China.

Key words: science and technology innovation, innovation power, investments in technology, multiple linear regression, ridge regression, random forest

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