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Title:
World rare earths trade network: Patterns, relations and role characteristics
Author: Ge, Jianping1,2; Wang, Xibo3; Guan, Qing1,2; Li, Weiheng4; Zhu, He5; Yao, Min6,7
Keyword: World rare earths trade ; Trade patterns ; Trade role characteristics ; Complex network
Source: RESOURCES POLICY
Issued Date: 2016-12-01
DOI: 10.1016/j.resourpol.2016.09.002
Volume: 50, Pages:119-130
DOC Type: Article
Indexed Type: SSCI
WOS Headings: Science & Technology ; Life Sciences & Biomedicine
WOS Subject: Environmental Studies
WOS Subject Extended: Environmental Sciences & Ecology
WOS Keyword Plus: OIL TRADE ; CHINA ; CENTRALITY ; EVOLUTION ; MARKET ; DYNAMICS ; ELEMENTS ; POLICIES ; SYSTEMS ; FLOW
English Abstract: Due to the uneven geographical distribution of rare earths (RE), most countries obtain RE on the international market. Trade patterns and trading countries' role characteristics are two important aspects to understand the current status of world RE trade and furthermore to formulate RE trade policies for each trading country. A complex network theory is adopted to analyze the world RE trade based on the trading data of 2011-2015. The results show that world RE trade favors a tendency towards collectivization since 146 trading countries only form three trade communities. Of these communities, the one headed by the United States, China, Japan, and Germany, has the largest clustering coefficient and has the greatest effect on the world RE trade. Moreover, the average path length valued by 2.294 steps in the network shows that the trading countries are quite close to each other, i.e., building up trade relations between any two countries needs an average path length of only 2.294 steps. Based on the role characteristics analysis of the degree centrality, strength centrality, closeness centrality, eigenvector centrality, and betweenness centrality, our study characterized the competing and complementary relationships between the major trading countries. Finally, the policy implications for different trading countries are proposed. (C) 2016 Elsevier Ltd. All rights reserved.
Language: 英语
Funder: Natural Sciences Foundation of China (NSFC)(71203203 ; MOE project of Humanities and Social Sciences(12YJCZH057) ; Beijing Higher Education Young Elite Teacher Project(YETP0667) ; Fundamental Research Funds for the Central Universities(2652015149) ; project of Key Laboratory of Carrying Capacity Assessment for Resource and Environment of Ministry of Land and Resource(CCA2016.09) ; 41601596)
WOS ID: WOS:000390826500013
Citation statistics:
Content Type: 期刊论文
URI: http://ir.iscas.ac.cn/handle/311060/18863
Appears in Collections:人机交互技术与智能信息处理实验室_期刊论文

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description.institution: 1.China Univ Geosci Beijing, Sch Humanities & Econ Management, Beijing 100083, Peoples R China
2.Minist Land & Resources, Key Lab Carrying Capac Assessment Resource & Envi, Beijing 100083, Peoples R China
3.Chinese Acad Sci, Inst Software, Beijing 100190, Peoples R China
4.Chinese Acad Sci, Inst Software, Intelligence Engn Lab, Beijing 100190, Peoples R China
5.Chinese Acad Sci, Inst Geog Sci & Nat Resources Res, Beijing 100101, Peoples R China
6.China Univ Geosci Beijing, Sch Mat Sci & Technol, Beijing 10083, Peoples R China
7.State Nucl Elect Power Planning Design & Res Inst, Beijing 100095, Peoples R China

Recommended Citation:
Ge, Jianping,Wang, Xibo,Guan, Qing,et al. World rare earths trade network: Patterns, relations and role characteristics[J]. RESOURCES POLICY,2016-12-01,50:119-130.
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