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Data Science and Management
Article . 2023 . Peer-reviewed
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Data Science and Management
Article . 2023
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Comparison of administrative and regulatory green technologies development between China and the U.S. based on patent analysis

Authors: Mengshu Liu; Ju’e Guo; Dan Bi;

Comparison of administrative and regulatory green technologies development between China and the U.S. based on patent analysis

Abstract

With the increasing importance of computer intelligence in the new round of the industrial revolution, administrative, regulatory, or design (ARD) green technology contributes to improving national technological competitiveness and promoting the transformation of green technology, which is becoming an important field under sustainable development goals. The U.S. and China ranked top two in terms of paper influence and patent applications in the field of ARD green technology. However, few comparative studies have been conducted in these two countries. This study presents the evolution and landscapes of ARD green technology between China and the U.S., focusing on comparing development priorities and technical layouts in each five-year plan period. According to the “International Patent Classification (IPC) Green Inventory” launched by the World Intellectual Property Organization (WIPO), we retrieved 69,412 patents published between 2001 and 2020 from the PatSnap database. Descriptive, content, and thematic network analyses were conducted using latent dirichlet allocation (LDA) and community detection algorithms. The results show that both China and the U.S. strategically focus on ARD green technology development. The technical topics in this field can be divided into three themes: data processing systems, traffic control systems, and building designs. The emphasis on technology research and development (R&D) differs between China and the U.S. There is also evidence that the U.S. has advantages in terms of technological innovation and capabilities. However, China has an advantage in terms of data volume, and the gap between China and the U.S. is gradually narrowing. We also highlight the contributions and limitations of this study.

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Keywords

Patent analysis, Text mining, Green technologies, QA75.5-76.95, Administrative, regulatory or design (ARD), Electronic computers. Computer science, Topic evolution, Latent dirichlet allocation (LDA)

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    This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
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    popularity
    This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
    Top 10%
    influence
    This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
    Top 10%
    impulse
    This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
    Top 10%
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selected citations
These citations are derived from selected sources.
This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Citations provided by BIP!
popularity
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
BIP!Popularity provided by BIP!
influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Influence provided by BIP!
impulse
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
BIP!Impulse provided by BIP!
24
Top 10%
Top 10%
Top 10%
gold