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ID 64192
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Jiang, Jiaming Graduate School of Humanities and Social Science, Okayama University Kaken ID researchmap
Baba, Kensuke Cyber-Physical Engineering Informatics Research Core, Okayama University
Zhao, Yu School of Management, Department of Management, Tokyo University of Science
Feng, Junshi Graduate School of Humanities and Social Science, Okayama University
Kumagai, Sou Department of Electrical and Communication Engineering, Faculty of Engineering, Okayama University
Abstract
In 2020, the Government of Japan declared "2050 carbon neutral" and launched a long-term strategy to create a "virtuous cycle of economy and environment".(1) Japanese firms possess many technologies that contribute to decarbonization, which is important to expand investment for Green Technology (environmental technology) development. As automobiles are major contributors to greenhouse gas emissions [1], the technological shift towards vehicle powertrain systems is an attempt to lower problems like emissions of carbon dioxide, nitrogen oxides [2]. On the other hand, patent data are the most reliable business performance for applied research and development activities when investigating the knowledge domains or the technology evolution (Wand, 1997). Our paper describes a Japanese patents dataset of the vehicle powertrain systems for hybrid electric vehicle (HEV), battery electric vehicle (BEV) and fuel cell electric vehicles (FCEV). In this paper we create a method of bombinating international patent classification (IPC) and keywords to define "green" patents in vehicle powertrains field, using patent data which were applied to Japan Patent Office recorded on EPO's PATSTAT database during 2010 similar to 2019 year. When analyze patents, it is necessary to consider the social situation of each country including language background, we collect patents description documents (abstracts and titles) not only written in English but also in Japanese. Finally, we build a database includes 6025 green patents' description documents and 266 patents' holding firms. With which we then identify 3756 HEV patents, 1716 BEV patents, and 553 FCEV patents. Data about patent holding firms is also appended. The full dataset may be useful to researchers who would like to do further search like natural language processing and machine learning on patent description documents, statistical data analysis for empirical economics.
Keywords
Patents
Green innovation
Vehicle powertrain
Hybrid electric vehicle
Battery electric vehicle
Fuel cell electric vehicles
Published Date
2022-10
Publication Title
Data In Brief
Volume
volume44
Publisher
Elsevier
Start Page
108524
ISSN
2352-3409
Content Type
Journal Article
language
English
OAI-PMH Set
岡山大学
Copyright Holders
© 2022 The Authors.
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publisher
PubMed ID
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Web of Science KeyUT
Related Url
isVersionOf https://doi.org/10.1016/j.dib.2022.108524
License
https://creativecommons.org/licenses/by/4.0/