JOURNAL OF BEIJING UNIVERSITY OF AERONAUTICS AND A ›› 2019, Vol. 32 ›› Issue (2): 99-107.DOI: 10.13766/j.bhsk.1008-2204.2016.0367

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Research on Industrial Upgrading Path Resulting from Science and Technology Innovation of Universities: From the Perspective of Preponderant Disciplines

SHEN Yingchun1, WEI Xiaoxiao2, XIAO Fengjun1   

  1. 1. School of Public Adiminstration, Beijing University of Aeronautics and Astronautics, Beijing 100083, China;
    2. China Information Daily, National Bureau of Statistics, Beijing 100073, China
  • Received:2016-10-09 Online:2019-03-25 Published:2019-03-28

Abstract:

Based on preponderant disciplines in universities, this paper chose the empirical research methods, analyzing the realization of science and technology innovation system that preponderant disciplines of universities promote, and summarized its path of industrial upgrading. Firstly, by analyzing the results of technical efficiency of provincial industrial upgrading, we supplemented and expanded the results which SFA model announce. By using SPSS to construct the correlation analysis between subject number and structure (the cross section data) and provincial technological efficiency on average, we have studied discipline superiority influence on technical efficiency. By the provincial index sorting, we also analyzed the industry technical efficiency characteristics of the three economic regions. Secondly, we analyzed the problems existing in the industrial upgrading of each main body, summarizing its functions and its connection with efficiency loss; thus, the new model about specific division is put forward. Again, on the basis of existing empirical macro-research, we made a microscopic analysis of the characteristics of each element of industrial upgrading paths. And according to the features of the elements of the economic region to complete match, we pointed out the emphasis of elements use of the regional industrial upgrading path. Finally, in allusion to the full content of the chapters, we put forward the corresponding policy recommendations.

Key words: path of industrial upgrading, preponderant disciplines, science and technology innovation of universities, Stochastic Frontier Analysis (SFA) Model, industrial technical efficiency

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