Technology Trend Analysis of Japanese Green Vehicle Powertrains Technology Using Patent Citation Data

被引:1
|
作者
Jiang, Jiaming [1 ]
Zhao, Yu [2 ]
机构
[1] Okayama Univ, Ctr Artificial Intelligence & Math Data Sci, 2-1-1 Tsushimanaka, Kitaku, Okayama 7008530, Japan
[2] Tokyo Univ Sci, Sch Management, Dept Management, Tokyo 1628601, Japan
关键词
patents; green innovation; social network analysis; carbon reduction; transportation management; ELECTRIC VEHICLES; PATTERNS; FIRMS;
D O I
10.3390/en16052221
中图分类号
TE [石油、天然气工业]; TK [能源与动力工程];
学科分类号
0807 ; 0820 ;
摘要
As automobiles are major contributors to greenhouse gas emissions, the technological shift towards vehicle powertrain systems is an attempt to lower problems such as emissions of carbon dioxide and nitrogen oxides. Patent data are the most reliable measure of business performance for applied research and development activities when investigating knowledge domains or technology evolution. This is the first study on Japanese patent citation data of the green vehicle powertrains technology industry, using the social network analysis method, which emphasizes centrality estimates and community detection. This study not only elucidates the knowledge by visualizing flow patterns but also provides a precious and congregative method for verifying important patents under the International Patent Classification system and grasping the trend of the new technology industry. This study detects leading companies, not only in terms of the number of patents but also the importance of the patents. The empirical result shows that the International Patent Classification (IPC) class that starts with "B60K", which includes hybrid electric vehicle (HEV) and battery electric vehicle (BEV), is more likely to be the technology trend in the green vehicle powertrains industry.
引用
收藏
页数:14
相关论文
共 50 条
  • [1] Analysis of Research and Development Trend of the Battery Technology in Electric Vehicle with the Perspective of Patent
    Zhang, Qianqian
    Li, Cunjin
    Wu, Yuqing
    [J]. 8TH INTERNATIONAL CONFERENCE ON APPLIED ENERGY (ICAE2016), 2017, 105
  • [2] USING PATENT DATA FOR TECHNOLOGY ANALYSIS AND PLANNING
    MOGEE, ME
    [J]. RESEARCH-TECHNOLOGY MANAGEMENT, 1991, 34 (04) : 43 - 49
  • [3] Development trend forecasting for coherent light generator technology based on patent citation network analysis
    Hanlin You
    Mengjun Li
    Keith W. Hipel
    Jiang Jiang
    Bingfeng Ge
    Hante Duan
    [J]. Scientometrics, 2017, 111 : 297 - 315
  • [4] Development trend forecasting for coherent light generator technology based on patent citation network analysis
    You, Hanlin
    Li, Mengjun
    Hipel, Keith W.
    Jiang, Jiang
    Ge, Bingfeng
    Duan, Hante
    [J]. SCIENTOMETRICS, 2017, 111 (01) : 297 - 315
  • [5] An analysis of the effects of artificial intelligence on electric vehicle technology innovation using patent data
    Lee, Mekyung
    [J]. WORLD PATENT INFORMATION, 2020, 63
  • [6] Technology development and knowledge spillover in Africa: evidence using patent and citation data
    Tseng, Chun-Yao
    [J]. INTERNATIONAL JOURNAL OF TECHNOLOGY MANAGEMENT, 2009, 45 (1-2) : 50 - 61
  • [7] Analyzing Technology Development Trend Based on Patent Data
    Hao, Xinning
    Xie, Nengfu
    Sun, Wei
    [J]. 2016 3RD INTERNATIONAL CONFERENCE ON SYSTEMS AND INFORMATICS (ICSAI), 2016, : 1056 - 1061
  • [8] Patent Analysis of Technology-Performance by Integrating Patent Family and Patent Citation
    Lai, Kuei-Kuei
    Yang, Kuang Ou
    Weng, Calvin S.
    Yang, Wen-Goang
    [J]. PROCEEDINGS OF PICMET 09 - TECHNOLOGY MANAGEMENT IN THE AGE OF FUNDAMENTAL CHANGE, VOLS 1-5, 2009, : 1395 - +
  • [9] Modelling of technology lifetime based on patent citation data and segmentation
    Yoo, Sun-Hi
    Kim, Byunghoon
    Jeong, Myong K.
    [J]. JOURNAL OF THE OPERATIONAL RESEARCH SOCIETY, 2015, 66 (03) : 450 - 462
  • [10] Using patent data for technology forecasting: China RFID patent analysis
    Trappey, Charles V.
    Wu, Hsin-Ying
    Taghaboni-Dutta, Fataneh
    Trappey, Amy J. C.
    [J]. ADVANCED ENGINEERING INFORMATICS, 2011, 25 (01) : 53 - 64