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ID 65767
フルテキストURL
fulltext.pdf 1.09 MB
著者
Cong, Yingnan Business School, China University of Political Science and Law
Hou, Yufei Business School, China University of Political Science and Law
Jiang, Jiaming Center for Artificial Intelligence and Mathematical Data Science, Okayama University Kaken ID researchmap
Chen, Shuangzi School of Economics, Hebei University
Cai, Xiaojing Graduate School of Humanities and Social Sciences, Okayama University
抄録
As an integral part of economic trade, energy trade is crucial to international dynamics and national interests. In this study, an international energy trade network is constructed by abstracting countries as nodes and representing energy trade relations as edges. A variety of indicators are designed in terms of networks, nodes, bilaterals, and communities to analyze the temporal and spatial evolution of the global energy trade network from 2001 to 2020. The results indicate that network density and strength have been steadily increasing since the beginning of the 21st century. It is observed that the position of the United States as the core of the international energy market is being impacted by emerging developing countries, thus affecting the existing trade balance based on topological analysis. The weighted analysis of bilateral relations demonstrates that emerging countries such as China, Brazil, and Saudi Arabia are pursuing closer cooperation. The community analysis reveals that an increasing number of countries possess strong energy trade capabilities, resulting in a corresponding increase in energy trade volumes.
キーワード
energy trade
complex networks
topology
evolutionary properties
発行日
2023-07-28
出版物タイトル
Energies
16巻
15号
出版者
MDPI
開始ページ
5677
ISSN
1996-1073
資料タイプ
学術雑誌論文
言語
英語
OAI-PMH Set
岡山大学
著作権者
© 2023 by the authors.
論文のバージョン
publisher
DOI
Web of Science KeyUT
関連URL
isVersionOf https://doi.org/10.3390/en16155677
ライセンス
https://creativecommons.org/licenses/by/4.0/
Citation
Cong, Y.; Hou, Y.; Jiang, J.; Chen, S.; Cai, X. Features and Evolution of Global Energy Trade Patterns from the Perspective of Complex Networks. Energies 2023, 16, 5677. https://doi.org/10.3390/ en16155677
助成機関名
Japan Society for the Promotion of Science
助成番号
22K01462
22H00846