IDEAS home Printed from https://ideas.repec.org/a/hin/jnlmpe/4771113.html
   My bibliography  Save this article

Research on the Influence of Industry-University-Research Cooperation Innovation Network Characteristics on Subject Innovation Performance

Author

Listed:
  • Mingxing Li
  • Mengjuan Zhang
  • Fredrick Oteng Agyeman
  • Hira Salah ud din Khan
  • Isabella Torcicollo

Abstract

The automobile industry serves as the primary industry for national development and also enhances manufacturing development strategies. Its source of power comes from the maturity and operational efficiency of the technology innovation network within the industry. Firstly, this paper takes the automobile industry of the Yangtze River Economic Belt as the research object and depicts the topological structure of the 1985–2015 Industry-University-Research Cooperation Innovation Network (IURCIN) from the perspective of space-time evolution. Then, based on the 2015 industrial network characteristic data, the paper analyses the impact of individual network characteristics such as intermediate centrality, structural hole limitation, and cooperation intensity on the innovation performance of the respective network. At the same time, it adds innovation activity, per capita gross regional product (GRP), and research and development (R&D) fund input intensity as control variables in the quantitative analysis. The results show that the centrality and structural hole limitation significantly and positively affect the subject innovation performance. The cooperation intensity and the subject innovation performance have an inverted U-shaped relationship. The innovation activity has a positive effect on the subject’s innovation performance. Furthermore, per capita GRP and R&D expenditure intensity on the main innovation performance is not significant. Finally, the countermeasures and suggestions are put forward to promote the innovation performance of each subject in the IURCIN.

Suggested Citation

  • Mingxing Li & Mengjuan Zhang & Fredrick Oteng Agyeman & Hira Salah ud din Khan & Isabella Torcicollo, 2021. "Research on the Influence of Industry-University-Research Cooperation Innovation Network Characteristics on Subject Innovation Performance," Mathematical Problems in Engineering, Hindawi, vol. 2021, pages 1-13, August.
    • Handle: RePEc:hin:jnlmpe:4771113
    DOI: 10.1155/2021/4771113
    as

    Download full text from publisher

    File URL: http://downloads.hindawi.com/journals/mpe/4771113.pdf
    Download Restriction: no
    File URL: http://downloads.hindawi.com/journals/mpe/4771113.xml
    Download Restriction: no
    File URL: https://libkey.io/10.1155/2021/4771113?utm_source=ideas
    LibKey link: if access is restricted and if your library uses this service, LibKey will redirect you to where you can use your library subscription to access this item
    ---><---

    Citations

    Citations are extracted by the CitEc Project, subscribe to its RSS feed for this item.
    as


    Cited by:

    1. Ayman wael AL-Khatib & Ahmed Shuhaiber, 2022. "Green Intellectual Capital and Green Supply Chain Performance: Does Big Data Analytics Capabilities Matter?," Sustainability, MDPI, vol. 14(16), pages 1-23, August.
    2. Wei Feng & Ling Zhao & Yue Chen, 2022. "Research on Collaborative Innovation Mode of Enterprise Group from the Perspective of Comprehensive Innovation Management," Sustainability, MDPI, vol. 14(9), pages 1-19, April.
    3. Mengjuan Zhang & Mingxing Li & Hongzheng Sun & Fredrick Oteng Agyeman & Hira Salah ud din Khan & Zedong Zhang, 2022. "Investigation of Nexus between Knowledge Learning and Enterprise Green Innovation Based on Meta-Analysis with a Focus on China," Energies, MDPI, vol. 15(4), pages 1-22, February.
    4. Fengting Zhang & Yang Lv & Md Nazirul Islam Sarker, 2022. "Spatio-Temporal Evolution and Development Path of Industry–University–Research Cooperation and Economic Vulnerability: Evidence from China’s Yangtze River Economic Belt," Sustainability, MDPI, vol. 14(19), pages 1-19, October.
    5. Yuqing Geng & Mukasar Maimaituerxun, 2022. "Research Progress of Green Marketing in Sustainable Consumption based on CiteSpace Analysis," SAGE Open, , vol. 12(3), pages 21582440221, August.
    6. Li Liu & Jin Luo & Xin Xiao & Bisong Hu & Shuhua Qi & Hui Lin & Xiaofang Zu, 2022. "Spatio-Temporal Evolution of Urban Innovation Networks: A Case Study of the Urban Agglomeration in the Middle Reaches of the Yangtze River, China," Land, MDPI, vol. 11(5), pages 1-21, April.
    7. Yanping Xu & Lilong Zhu, 2022. "Pharmaceutical Enterprises’ R&D Innovation Cooperation Moran Strategy When Considering Tax Incentives," IJERPH, MDPI, vol. 19(22), pages 1-13, November.

    More about this item

    Statistics

    Access and download statistics

    Corrections

    All material on this site has been provided by the respective publishers and authors. You can help correct errors and omissions. When requesting a correction, please mention this item's handle: RePEc:hin:jnlmpe:4771113. See general information about how to correct material in RePEc.

    If you have authored this item and are not yet registered with RePEc, we encourage you to do it here. This allows to link your profile to this item. It also allows you to accept potential citations to this item that we are uncertain about.

    We have no bibliographic references for this item. You can help adding them by using this form .

    If you know of missing items citing this one, you can help us creating those links by adding the relevant references in the same way as above, for each refering item. If you are a registered author of this item, you may also want to check the "citations" tab in your RePEc Author Service profile, as there may be some citations waiting for confirmation.

    For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: Mohamed Abdelhakeem (email available below). General contact details of provider: https://www.hindawi.com .

    Please note that corrections may take a couple of weeks to filter through the various RePEc services.

    IDEAS is a RePEc service. RePEc uses bibliographic data supplied by the respective publishers.