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

Author:

Jiang Jiaming1ORCID,Zhao Yu2ORCID

Affiliation:

1. Center for Artificial Intelligence and Mathematical Data Science, Okayama University, 2-1-1 Tsushimanaka, Kitaku, Okayama 700-8530, Japan

2. School of Management, Department of Management, Tokyo University of Science, Tokyo 162-8601, Japan

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.

Funder

JSPS KAKENHI Grant-in-Aid for Scientific Research

Publisher

MDPI AG

Subject

Energy (miscellaneous),Energy Engineering and Power Technology,Renewable Energy, Sustainability and the Environment,Electrical and Electronic Engineering,Control and Optimization,Engineering (miscellaneous),Building and Construction

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