ID | 65767 |
フルテキストURL | |
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
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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.
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キーワード | energy trade
complex networks
topology
evolutionary properties
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発行日 | 2023-07-28
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出版物タイトル |
Energies
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巻 | 16巻
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号 | 15号
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出版者 | MDPI
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開始ページ | 5677
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ISSN | 1996-1073
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資料タイプ |
学術雑誌論文
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言語 |
英語
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OAI-PMH Set |
岡山大学
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著作権者 | © 2023 by the authors.
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論文のバージョン | publisher
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DOI | |
Web of Science KeyUT | |
関連URL | isVersionOf https://doi.org/10.3390/en16155677
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ライセンス | https://creativecommons.org/licenses/by/4.0/
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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
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助成機関名 |
Japan Society for the Promotion of Science
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助成番号 | 22K01462
22H00846
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