JOURNAL OF BEIJING UNIVERSITY OF AERONAUTICS AND A ›› 2018, Vol. 31 ›› Issue (2): 94-98,112.DOI: 10.13766/j.bhsk.1008-2204.2015.0450

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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


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

CLC Number: