A complex network perspective on interrelations and evolution features crossMark of international oil trade, 2002-2013

被引：94

作者：

Du, Ruijin ^{[1
]}

Wang, Ya ^{[1
]}

Dong, Gaogao ^{[1
]}

Tian, Lixin ^{[1
,2
]}

Liu, Yixiao ^{[1
]}

Wang, Minggang ^{[2
]}

Fang, Guochang ^{[3
]}

机构：

[1] Jiangsu Univ, Ctr Energy Dev & Environm Protect, Zhenjiang 212013, Peoples R China

[2] Nanjing Normal Univ, Sch Math Sci, Nanjing 210046, Jiangsu, Peoples R China

[3] Nanjing Univ Finance & Econ, Sch Econ, Nanjing 210023, Jiangsu, Peoples R China

来源：

APPLIED ENERGY | 2017年 / 196卷

基金：

中国国家自然科学基金; 中国博士后科学基金;

关键词：

International crude oil trade; Complex network; Top network; Modified closed-system input-output; analysis; Interrelations; Evolution features; CENTRALITY; PATTERNS;

D O I：

10.1016/j.apenergy.2016.12.042

中图分类号：

TE [石油、天然气工业]; TK [能源与动力工程];

学科分类号：

0807 ; 0820 ;

摘要：

In this paper, a directed and weighted world crude oil trade network is constructed. Based on the built network, we apply top network method and modified closed-system input-output method to assess the relative importance of countries in the international oil trade. The top 1 network consisting of top trade relations, can well reflect countries' preference in choosing oil trade partners. As a simplified network model of international oil trade network, the top 1 network has been analyzed the structure and evolution. In order to identify important oil trading countries, the modified closed-system inputoutput analysis has yielded some promising results, which show countries who play key role in international oil trade, are trading large oil volumes. In addition, by describing the influences of countries on each other, we find major oil importers have a much effect on other countries, including major oil exporters. The evolution analysis obtained by these two methods coincide with each other. To conclude, some suggestions are given according to the results. (C) 2016 Elsevier Ltd. All rights reserved.

引用

页码：142 / 151

页数：10

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