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ID 65057
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Author
Jiang, Jiaming Center for Artificial Intelligence and Mathematical Data Science, Okayama University
Zhao, Yu School of Management, Department of Management, Tokyo University of Science
Abstract
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.
Keywords
patents
green innovation
social network analysis
carbon reduction
transportation management
Published Date
2023-02-24
Publication Title
Energies
Volume
volume16
Issue
issue5
Publisher
MDPI
Start Page
2221
ISSN
1996-1073
Content Type
Journal Article
language
English
OAI-PMH Set
岡山大学
Copyright Holders
© 2023 by the authors.
File Version
publisher
DOI
Web of Science KeyUT
Related Url
isVersionOf https://doi.org/10.3390/en16052221
License
https://creativecommons.org/licenses/by/4.0/
Citation
Jiang, J.; Zhao, Y. Technology Trend Analysis of Japanese Green Vehicle Powertrains Technology Using Patent Citation Data. Energies 2023, 16, 2221. https:// doi.org/10.3390/en16052221
Funder Name
Japan Society for the Promotion of Science
助成番号
22K01462
22H00846