Preprint Article Version 1 Preserved in Portico This version is not peer-reviewed

An Evolutionary Analysis of Higher-Order Interaction Collaborative Innovation Networks in China's New Energy Vehicle Industry

Version 1 : Received: 8 June 2023 / Approved: 8 June 2023 / Online: 8 June 2023 (10:35:23 CEST)

A peer-reviewed article of this Preprint also exists.

Yuan, Y.; Guo, J.; Guo, Z. An Evolutionary Analysis of Higher-Order Interaction Collaborative Innovation Networks in China’s New Energy Vehicle Industry. Sustainability 2023, 15, 11478. Yuan, Y.; Guo, J.; Guo, Z. An Evolutionary Analysis of Higher-Order Interaction Collaborative Innovation Networks in China’s New Energy Vehicle Industry. Sustainability 2023, 15, 11478.

Abstract

As a manifestation of technological innovation achievements, patents reflect the frontier of technological development in the field. This paper constructs a multi-entity patent collaboration network and analyzes its evolution patterns to provide a reference for innovation organizations to grasp the general direction of innovation development and select partners. Based on the data of collaboration patents of two and three organizations in China's new energy vehicles (NEV) industry from 2008 to 2021, this paper constructs higher-order interaction collaboration innovation networks in different periods to analyze the spatial evolution of networks and patent cooperation activities. The results show that the generalized degree distribution of nodes and edges conforms to the power-law distribution. The two-dimensional simplex networks gradually form triangle groups centered on the core nodes, and the importance of key edges is beginning to emerge. Key organizations and partners, including State Grid Corporation of China, Tsinghua University, and China Electric Power Research Institute, will largely determine the direction for the future development of cooperation innovation. The study also reveals that Beijing, Jiangsu, Zhejiang, Guangzhou, and Shanghai are in central positions in the cooperative innovation network, based on their cooperation breadth and depth measures. Additionally, key links formed by Beijing as hubs are not only the center of information exchange but also function as bridges that connect to other regions.

Keywords

New energy vehicle; Higher-order interaction network; Generalized degree; Simplicial complex

Subject

Business, Economics and Management, Econometrics and Statistics

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