Investigating the energy trade networks in the Belt and Road regions: Structures and evolution

被引:16
作者
Chen, Wei [1 ]
Niu, Xiaoyu [2 ,3 ]
Ke, Wenqian [4 ,5 ]
Yu, Zhaoyuan [2 ,3 ,6 ,7 ]
机构
[1] Chinese Acad Sci, Inst Geog Sci & Nat Resources Res, Beijing 100101, Peoples R China
[2] Univ Chinese Acad Sci, Coll Resource & Environm, Beijing 100049, Peoples R China
[3] Nanjing Normal Univ, Sch Geog Sci, Nanjing 210023, Peoples R China
[4] Jiangsu Ctr Collaborat Innovat Geog Informat Resou, Nanjing 210023, Peoples R China
[5] Key Lab Humid Subtrop Ecogeog Proc, Fuzhou 350007, Fujian, Peoples R China
[6] Fujian Normal Univ, Inst Geog, Minist Educ, Fuzhou 350007, Fujian, Peoples R China
[7] 1 Wenyuan Rd, Nanjing 210023, Peoples R China
关键词
Energy trade; Energy security; Energy supply chain; Trade network; The "Belt and Road; COUNTRIES; COAL; OIL; PATTERNS; FEATURES; CHINA;
D O I
10.1016/j.energy.2023.129157
中图分类号
O414.1 [热力学];
学科分类号
摘要
The "Belt and Road" Initiative (BRI) is a new platform for international economic cooperation with far-reaching implications for restructuring the global energy trading system. This paper constructs the BRI energy trade networks and investigates the evolution of hierarchical structures, core-periphery, and backbone structures of the BRI energy trade networks at long time scales by integrating a flexible methodological framework. The results show that: (1) The BRI energy trade has formed closely linked, complex, and uneven energy trade networks, with spatially variable trade volume and noticeable hierarchical structural features. (2) China, Russia, India, the United Arab Emirates, and Saudi Arabia are the top five countries with the highest centrality degrees, while the rankings of other countries have varied. (3) The BRI energy trade networks exhibit significant core-periphery structures and some nodal countries are in the absolute cores of the network. (4) Backbone structures of the BRI energy trade networks continue to grow in both numbers and weights, forming backbone networks between major energy-exporting countries and major energy-demanding countries. Therefore, the BRI should strengthen the policy implementation and institutional arrangements at different levels to promote the BRI energy trade system, ensure global energy security, and strengthen energy interconnectivity.
引用
收藏
页数:10
相关论文
共 45 条
[11]   Profiling core-periphery network structure by random walkers [J].
Della Rossa, Fabio ;
Dercole, Fabio ;
Piccardi, Carlo .
SCIENTIFIC REPORTS, 2013, 3
[12]   Backbone: An R package for extracting the backbone of bipartite projections [J].
Domagalski, Rachel ;
Neal, Zachary P. ;
Sagan, Bruce .
PLOS ONE, 2021, 16 (01)
[13]   Estimation of fouling resistance in a phosphoric acid/steam heat exchanger using inverse method [J].
Fguiri, Ali ;
Marvillet, Christophe ;
Jeday, Mohamed Razak .
APPLIED THERMAL ENGINEERING, 2021, 192
[14]   Features and evolution of international fossil energy trade relationships: A weighted multilayer network analysis [J].
Gao, Cuixia ;
Sun, Mei ;
Shen, Bo .
APPLIED ENERGY, 2015, 156 :542-554
[15]   World rare earths trade network: Patterns, relations and role characteristics [J].
Ge, Jianping ;
Wang, Xibo ;
Guan, Qing ;
Li, Weiheng ;
Zhu, He ;
Yao, Min .
RESOURCES POLICY, 2016, 50 :119-130
[16]   A dynamic analysis on global natural gas trade network [J].
Geng, Jiang-Bo ;
Ji, Qiang ;
Fan, Ying .
APPLIED ENERGY, 2014, 132 :23-33
[17]   Betweenness centrality correlation in social networks [J].
Goh, KI ;
Oh, E ;
Kahng, B ;
Kim, D .
PHYSICAL REVIEW E, 2003, 67 (01) :4
[18]   The impact of the Belt and Road Initiative on the natural gas trade: A network structure dependence perspective [J].
Guo, Yaoqi ;
Zhao, Boya ;
Zhang, Hongwei .
ENERGY, 2023, 263
[19]   Evolution of the exergy flow network embodied in the global fossil energy trade: Based on complex network [J].
Hao, Xiaoqing ;
An, Haizhong ;
Qi, Hai ;
Gao, Xiangyun .
APPLIED ENERGY, 2016, 162 :1515-1522
[20]   Identification of global oil trade patterns: An empirical research based on complex network theory [J].
Ji, Qiang ;
Zhang, Hai-Ying ;
Fan, Ying .
ENERGY CONVERSION AND MANAGEMENT, 2014, 85 :856-865