The evolution of patent cooperation network for new energy vehicle power battery (original) (raw)

Abstract

In the new energy automobile industry, a patent cooperation network is a technical means to effectively improve the innovation ability of enterprises. Network subjects can continuously obtain, absorb, and use various resources in the network to improve their research and development strength. Taking power batteries of new energy vehicles as the research object, this paper draws the patent cooperation network of power batteries of new energy vehicles by mining relevant patent cooperation data and analyzes the structure and spatial distribution characteristics of the patent cooperation network of power batteries of new energy vehicles from 2008 to 2021 based on two dimensions of time and space by using the social network analysis method. The evolution of the new energy vehicle power battery patent cooperation network has significant stage characteristics. The new energy vehicle power battery patent cooperation network shows great differences in the evolution process of each development stage and shows a diversified cooperation development trend. The intensity of patent cooperation varies greatly among provinces, and the level of cooperation in the eastern, southern, and central regions is significantly higher than that in the northern and western regions.

Access this article

Log in via an institution

Subscribe and save

Buy Now

Price excludes VAT (USA)
Tax calculation will be finalised during checkout.

Instant access to the full article PDF.

Fig. 1

The alternative text for this image may have been generated using AI.

Data sources: IncoPat Patent Database (after author's collation)

Fig. 2

The alternative text for this image may have been generated using AI.

Data sources: IncoPat Patent Database (after author's collation)

Fig. 3

The alternative text for this image may have been generated using AI.

Data sources: IncoPat Patent Database (after author's collation)

Fig. 4

The alternative text for this image may have been generated using AI.

Data sources: IncoPat Patent Database (after author's collation)

Fig. 5

The alternative text for this image may have been generated using AI.

Data sources: IncoPat Patent Database (after author's collation)

Similar content being viewed by others

Availability of data and materials

Data will be made available on request.

References

Download references

Funding

This work was supported by the Shaanxi Provincial Social Science Foundation [grant number 2021R005], the National Social Science Foundation Later Supported Project of China [grant number 21FGLB096], the Soft Science Research Program of Xianyang City [grant number L2023-RKX-SJ-036] and the Natural Science Basic Research Program of Shaanxi Provence [grant number 2024JC-YBMS-581].

Author information

Authors and Affiliations

  1. School of Economics and Management, Shaanxi University of Science and Technology, Weiyang University Park, Xi’an, 710021, China
    Jian Xue, YiXue Fan & Yang Lv

Authors

  1. Jian Xue
  2. YiXue Fan
  3. Yang Lv

Contributions

Jian Xue: Conceptualization, Methodology, Supervision. Yixue Fan: Methodology, Software, Writing—Original draft, Writing—Review & Editing. Yang Lv: Writing—Review & Editing.

Corresponding author

Correspondence toYiXue Fan.

Ethics declarations

Conflict of interest

The authors declare that they have no known competing financial interests or personal relationships that could have appeared to influence the work reported in this paper.

Rights and permissions

Springer Nature or its licensor (e.g. a society or other partner) holds exclusive rights to this article under a publishing agreement with the author(s) or other rightsholder(s); author self-archiving of the accepted manuscript version of this article is solely governed by the terms of such publishing agreement and applicable law.

Reprints and permissions

About this article

Cite this article

Xue, J., Fan, Y. & Lv, Y. The evolution of patent cooperation network for new energy vehicle power battery.SN Bus Econ 4, 78 (2024). https://doi.org/10.1007/s43546-024-00682-x

Download citation

Keywords