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The evolution of government sponsored collaboration network and its impact on innovation: A bibliometric analysis in the Chinese solar PV sector

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  • Liang, Xinning
  • Liu, Anita M.M.

Abstract

This study explores the dynamics of a government sponsored collaboration network concerning the development of solar photovoltaics (PV) technologies in China, and investigates the effect of network evolution on the subsequent innovation performance of network actors. Network structure characteristics and attribute proximity variables are jointly examined through a bibliometric methodology based on scientific publication and patent data. In addressing the evolution of the government sponsored collaboration network, this study has identified that actors are more likely to engage in collaboration with prior partners, partners of direct & indirect partners, and partners with similar attributes. These collaboration patterns, in turn, negatively impact direct ties and network efficiency, and increase the attribute proximity of an actor’s network. On the other hand, the estimation results indicate that direct ties have an inverted U-shaped effect on innovation performance, while indirect ties are found to be positively related to innovation performance. As expected, a positive effect of network efficiency is found on innovation performance. The results of attribute proximity variables suggest geographical proximity is negatively related to innovation performance. Taken together, the collaboration patterns in the government sponsored network might have a negative impact on innovation performance of network actors. The empirical findings extend the network literature that collaboration network matters differently in different research contexts, and it is no longer appropriate to simply assume that collaboration is purely a good thing. As such, special attention should be paid to the network structure and composition in further policy design.

Suggested Citation

  • Liang, Xinning & Liu, Anita M.M., 2018. "The evolution of government sponsored collaboration network and its impact on innovation: A bibliometric analysis in the Chinese solar PV sector," Research Policy, Elsevier, vol. 47(7), pages 1295-1308.
  • Handle: RePEc:eee:respol:v:47:y:2018:i:7:p:1295-1308
    DOI: 10.1016/j.respol.2018.04.012
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    Cited by:

    1. Daniel J Hicks & David A Coil & Carl G Stahmer & Jonathan A Eisen, 2019. "Network analysis to evaluate the impact of research funding on research community consolidation," PLOS ONE, Public Library of Science, vol. 14(6), pages 1-14, June.
    2. Teixeira, Sérgio & Pocinho, Margarida, 2020. "Hotel Industry And Regional Competitiveness: The Bibliometric Perspective Of Web Of Science," Journal of Spatial and Organizational Dynamics, Cinturs - Research Centre for Tourism, Sustainability and Well-being, University of Algarve, vol. 8(2), pages 129-147.
    3. Kaihuang Zhang & Qinglan Qian & Yijing Zhao, 2020. "Evolution of Guangzhou Biomedical Industry Innovation Network Structure and Its Proximity Mechanism," Sustainability, MDPI, Open Access Journal, vol. 12(6), pages 1-20, March.
    4. Gilding, Michael & Brennecke, Julia & Bunton, Vikki & Lusher, Dean & Molloy, Peter L. & Codoreanu, Alex, 2020. "Network failure: Biotechnology firms, clusters and collaborations far from the world superclusters," Research Policy, Elsevier, vol. 49(2).
    5. Yongli Tang & Kazuyuki Motohashi & Xinyue Hu & Angeles Montoro-Sanchez, 2020. "University-industry interaction and product innovation performance of Guangdong manufacturing firms: the roles of regional proximity and research quality of universities," The Journal of Technology Transfer, Springer, vol. 45(2), pages 578-618, April.
    6. Robert Huggins & Daniel Prokop & Piers Thompson, 2020. "Universities and open innovation: the determinants of network centrality," The Journal of Technology Transfer, Springer, vol. 45(3), pages 718-757, June.
    7. Shuman Zhang & Changhong Yuan & Yuying Wang, 2019. "The Impact of Industry–University–Research Alliance Portfolio Diversity on Firm Innovation: Evidence from Chinese Manufacturing Firms," Sustainability, MDPI, Open Access Journal, vol. 11(8), pages 1-16, April.

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