Tracing the technology transfer of battery electric vehicles in China: A patent citation organization network analysis

被引:10
|
作者
Li, Xiaotao [1 ]
Yuan, Xiaodong [2 ]
机构
[1] Wuhan Univ Sci & Technol WUST, Sch Literature Law & Econ, Wuhan, Peoples R China
[2] Huazhong Univ Sci & Technol HUST, Sch Management, Wuhan, Peoples R China
基金
中国国家自然科学基金;
关键词
Technology transfer; Battery electric vehicles; Citation organization networks; Patent analysis; KNOWLEDGE TRANSFER; POLICY; INNOVATION; EMERGENCE; EVOLUTION; INDUSTRY; COUNTRY; FLOWS;
D O I
10.1016/j.energy.2021.122265
中图分类号
O414.1 [热力学];
学科分类号
摘要
Technology transfer is an active process in which advanced technologies are transferred between two different actors. In a fiercely competitive environment, the development and commercialization of new technology, such as battery electric vehicles (BEV), increasingly depend on technology transfer across organizational boundaries. To further explore technological transfer across organizations, it needs to combine the related information with patent citations. However, the existing literature usually ignores the diversity and difference of patent citations across jurisdictions. To close the gap, the paper takes the difference of patent citations into account. The paper gains an insight into the evolutionary pattern of BEV technology transfer across organizations in China by constructing multi-category citation networks. We find that the technology transfer networks are increasingly complex over time, but technology transfers between organizations are uneven. An important characteristic of technology transfer is that it follows the power-law distribution with a very long tail. More importantly, both large car manufacturers and new entrants play an important role in technology transfer, followed by top automotive suppliers, while the role of universities is limited. Our findings can help policy-makers or company managers better understand the evolutionary pattern of BEV technology transfer at the organizational level. (c) 2021 Elsevier Ltd. All rights reserved.
引用
收藏
页数:13
相关论文
共 50 条
  • [21] Network equilibrium models with battery electric vehicles
    He, Fang
    Yin, Yafeng
    Lawphongpanich, Siriphong
    TRANSPORTATION RESEARCH PART B-METHODOLOGICAL, 2014, 67 : 306 - 319
  • [22] How do new use environments influence a technology's knowledge trajectory? A patent citation network analysis of lithium-ion battery technology
    Malhotra, Abhishek
    Zhang, Huiting
    Beuse, Martin
    Schmidt, Tobias
    RESEARCH POLICY, 2021, 50 (09)
  • [23] Patent Analysis of Technology-Performance by Integrating Patent Family and Patent Citation
    Lai, Kuei-Kuei
    Yang, Kuang Ou
    Weng, Calvin S.
    Yang, Wen-Goang
    PROCEEDINGS OF PICMET 09 - TECHNOLOGY MANAGEMENT IN THE AGE OF FUNDAMENTAL CHANGE, VOLS 1-5, 2009, : 1395 - +
  • [24] Patents Analysis on Electric Vehicle Power Battery Technology in China
    Liu, Jie Ming
    Cheng, Ju
    Yin, Xi Lin
    Xu, Chen
    PROCEEDINGS OF THE INTERNATIONAL CONFERENCE ON EDUCATION, MANAGEMENT, COMMERCE AND SOCIETY, 2015, 17 : 400 - 406
  • [25] Identifying potential users of technology for technology transfer using patent citation analysis: a case analysis of a Korean research institute
    Tae-Young Park
    Hyungjoo Lim
    Ilyong Ji
    Scientometrics, 2018, 116 : 1541 - 1558
  • [26] Understanding the Dynamic Nature of Technological Change Using Trajectory Identification Based on Patent Citation Network in the Electric Vehicles Industry
    Yuan, Fei
    Miyazaki, Kumiko
    2014 PORTLAND INTERNATIONAL CONFERENCE ON MANAGEMENT OF ENGINEERING & TECHNOLOGY (PICMET), 2014, : 2780 - 2790
  • [27] Investigating determinants of inter-regional technology transfer in China: a network analysis with provincial patent data
    Gupeng Zhang
    Hongbo Duan
    Jianghua Zhou
    Review of Managerial Science, 2016, 10 : 345 - 364
  • [28] Patent output and patent transfer network in China universities: Moderating roles of absorptive capacity and desorptive capacity
    Jia, Hongjun
    Zhou, Jing
    HELIYON, 2024, 10 (18)
  • [29] Prediction of emerging technologies based on analysis of the US patent citation network
    Erdi, Peter
    Makovi, Kinga
    Somogyvari, Zoltan
    Strandburg, Katherine
    Tobochnik, Jan
    Volf, Peter
    Zalanyi, Laszlo
    SCIENTOMETRICS, 2013, 95 (01) : 225 - 242
  • [30] Analysis of the Impact of Battery Electric Vehicles on the Low Voltage Network of a Caribbean Island
    Mahadeo, Gerald E.
    Bahadoorsingh, Sanjay
    Sharma, Chandrabhan
    2017 IEEE TRANSPORTATION ELECTRIFICATION CONFERENCE AND EXPO (ITEC), 2017, : 364 - 369