| ID | 65767 | 
| FullText URL | |
| Author | 
                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
     | 
| Abstract | 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. | 
| Keywords | energy trade complex networks topology evolutionary properties | 
| Published Date | 2023-07-28 | 
| Publication Title | 
            Energies
     | 
| Volume | volume16 | 
| Issue | issue15 | 
| Publisher | MDPI | 
| Start Page | 5677 | 
| ISSN | 1996-1073 | 
| Content Type | 
            Journal Article
     | 
| language | 
            English
     | 
| OAI-PMH Set | 
            岡山大学
     | 
| Copyright Holders | © 2023 by the authors. | 
| File Version | publisher | 
| DOI | |
| Web of Science KeyUT | |
| Related Url | isVersionOf https://doi.org/10.3390/en16155677 | 
| License | 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 | 
| Funder Name | 
            Japan Society for the Promotion of Science
     | 
| 助成番号 | 22K01462 22H00846 |