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Spatial–temporal Evolution of Green Patent Cooperation Network in BTH Region

In: Liss 2022

Author

Listed:
  • Mingxuan Yang

    (University of Science and Technology)

  • Shuo Zhang

    (North China Electric Power University)

Abstract

Beijing-Tianjin-Hebei (BTH) region coordinated and green development strategy has been upgraded to a national development strategy since 2014. The study of green patent cooperation among various innovation units in the BTH region can provide an empirical perspective for examining the effectiveness of the BTH coordinated development strategy. Based on the data of green invention patents in China Beijing-Tianjin-Hebei (BTH) region from 2010 to 2018, the social network analysis method is used to study the evolution of the overall network and core nodes from three aspects of time, cooperation agents and space. In terms of time dimension, the network center potential kept at a high level from 2013 to 2016, showing a certain aggregation effect, but gradually tended to be diversified after 2016. From 2010 to 2018, although the network density decreased and the network tended to be loose generally, a few enterprises and scientific research institutions in Beijing kept the core position of the network. In terms of spatial dimension, the green patent cooperation between BTH presented an unbalanced phenomenon as a whole, and Beijing occupied an absolute dominant position. Despite this, the cooperation among the three regions was increasing year by year, and the driving effect of Beijing as the leader was gradually emerging, indicating that the BTH coordinated development strategy is working. Based on the research of this paper, the scientific decision support for the allocation of resources and the formulation of relevant policies in BTH region can be provided.

Suggested Citation

  • Mingxuan Yang & Shuo Zhang, 2023. "Spatial–temporal Evolution of Green Patent Cooperation Network in BTH Region," Lecture Notes in Operations Research, in: Xiaopu Shang & Xiaowen Fu & Yixuan Ma & Daqing Gong & Juliang Zhang (ed.), Liss 2022, pages 337-347, Springer.
    • Handle: RePEc:spr:lnopch:978-981-99-2625-1_26
    DOI: 10.1007/978-981-99-2625-1_26
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