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Volume 29 Issue 3
Jun.  2019
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Article Navigation >  Chinese Geographical Science  > 2019  >  20(3): 528-540

PENG Fei, ZHANG Qiqi, HAN Zenglin, DING Yan, FU Ningning. Evolution Characteristics of Government-Industry-University Cooperative Innovation Network of Electronic Information Industry in Liaoning Province, China[J]. Chinese Geographical Science, 2019, 20(3): 528-540. doi: 10.1007/s11769-019-1047-x
Citation: PENG Fei, ZHANG Qiqi, HAN Zenglin, DING Yan, FU Ningning. Evolution Characteristics of Government-Industry-University Cooperative Innovation Network of Electronic Information Industry in Liaoning Province, China[J]. Chinese Geographical Science, 2019, 20(3): 528-540. doi: 10.1007/s11769-019-1047-x
shu

Evolution Characteristics of Government-Industry-University Cooperative Innovation Network of Electronic Information Industry in Liaoning Province, China

doi: 10.1007/s11769-019-1047-x
  • 1.

    Research Center for Marine Economy and Sustainable Development, Liaoning Normal University, Dalian 116029, China;

  • 2.

    College of Urban and Environmental Science, Liaoning Normal University, Dalian 116029, China

Funds:  Under the auspices of National Natural Science Foundation of China (No. 41601114), Humanities and Social Science Foundation of Ministry of Education (No. 16YJC790080), Social Science Fund of Liaoning Province (No. L17CJL001), Education Project of Liaoning Provincial Department (No. JZ201783606)
More Information
  • Corresponding author: PENG Fei. E-mail:pfly324@163.com
  • Received Date: 2018-06-11
  • Publish Date: 2019-06-01
  • It is important to optimize the cooperative innovation network for the improvement of economic competence and innovative power. Based on the patent information services platform, we obtain invention patent data for the electronic information industry in Liaoning from 1985 to 2015. This paper analyzes the cooperative innovation network structure, its spatiotemporal evolution and the triple helix relationship of government-industry-university (GIU) by using the social network analysis method and the triple helix theory as well as UCINet, ArcGIS and NetDraw. The empirical results show that:1) the number of the subjects of the electronic information industry GIU cooperative innovation network in Liaoning demonstrates a gradual increase from 1985 to 2015, with the same trend in concentration. In terms of its subject and its centrality, the universities have a higher position, and the industries have a lower position, while the status of the government is still unclear. 2) The cooperative innovation network presents a core-periphery structure, and the polarization effect of innovation subjects tends to be obvious. There is certain distance-decay regularity in the cooperative innovation network, and a strong geographical proximity to cooperative innovation. 3) The compactness shows a downward trend as a whole. In terms of the extent of participation, the industries are better than the government but worse than the universities. This means that the cooperative innovation network of GIU in the electronic information industry in Liaoning is in the initial stage of formation.
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Evolution Characteristics of Government-Industry-University Cooperative Innovation Network of Electronic Information Industry in Liaoning Province, China

doi: 10.1007/s11769-019-1047-x
  • 1. Research Center for Marine Economy and Sustainable Development, Liaoning Normal University, Dalian 116029, China;
  • 2. College of Urban and Environmental Science, Liaoning Normal University, Dalian 116029, China
Funds:  Under the auspices of National Natural Science Foundation of China (No. 41601114), Humanities and Social Science Foundation of Ministry of Education (No. 16YJC790080), Social Science Fund of Liaoning Province (No. L17CJL001), Education Project of Liaoning Provincial Department (No. JZ201783606)
    Corresponding author: PENG Fei. E-mail:pfly324@163.com
  • Received Date: 2018-06-11
  • Publish Date: 2019-06-01

Abstract: It is important to optimize the cooperative innovation network for the improvement of economic competence and innovative power. Based on the patent information services platform, we obtain invention patent data for the electronic information industry in Liaoning from 1985 to 2015. This paper analyzes the cooperative innovation network structure, its spatiotemporal evolution and the triple helix relationship of government-industry-university (GIU) by using the social network analysis method and the triple helix theory as well as UCINet, ArcGIS and NetDraw. The empirical results show that:1) the number of the subjects of the electronic information industry GIU cooperative innovation network in Liaoning demonstrates a gradual increase from 1985 to 2015, with the same trend in concentration. In terms of its subject and its centrality, the universities have a higher position, and the industries have a lower position, while the status of the government is still unclear. 2) The cooperative innovation network presents a core-periphery structure, and the polarization effect of innovation subjects tends to be obvious. There is certain distance-decay regularity in the cooperative innovation network, and a strong geographical proximity to cooperative innovation. 3) The compactness shows a downward trend as a whole. In terms of the extent of participation, the industries are better than the government but worse than the universities. This means that the cooperative innovation network of GIU in the electronic information industry in Liaoning is in the initial stage of formation.

PENG Fei, ZHANG Qiqi, HAN Zenglin, DING Yan, FU Ningning. Evolution Characteristics of Government-Industry-University Cooperative Innovation Network of Electronic Information Industry in Liaoning Province, China[J]. Chinese Geographical Science, 2019, 20(3): 528-540. doi: 10.1007/s11769-019-1047-x
Citation: PENG Fei, ZHANG Qiqi, HAN Zenglin, DING Yan, FU Ningning. Evolution Characteristics of Government-Industry-University Cooperative Innovation Network of Electronic Information Industry in Liaoning Province, China[J]. Chinese Geographical Science, 2019, 20(3): 528-540. doi: 10.1007/s11769-019-1047-x
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