World rare earths trade network: Patterns, relations and role characteristics
文献类型：期刊论文
| 作者 | Ge, Jianping1,2; Wang, Xibo3; Guan, Qing1,2; Li, Weiheng4; Zhu, He5; Yao, Min6,7 |
| 刊名 | RESOURCES POLICY
 |
| 出版日期 | 2016-12-01 |
| 卷号 | 50页码:119-130 |
| 关键词 | World rare earths trade Trade patterns Trade role characteristics Complex network |
| ISSN号 | 0301-4207 |
| DOI | 10.1016/j.resourpol.2016.09.002 |
| 通讯作者 | Wang, Xibo(wangxibo406@126.com) |
| 英文摘要 | 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. |
| WOS关键词 | OIL TRADE ; CHINA ; CENTRALITY ; EVOLUTION ; MARKET ; DYNAMICS ; ELEMENTS ; POLICIES ; SYSTEMS ; FLOW |
| 资助项目 | Natural Sciences Foundation of China (NSFC)[71203203] ; Natural Sciences Foundation of China (NSFC)[41601596] ; 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] |
| WOS研究方向 | Environmental Sciences & Ecology |
| 语种 | 英语 |
| WOS记录号 | WOS:000390826500013 |
| 出版者 | ELSEVIER SCI LTD |
| 资助机构 | Natural Sciences Foundation of China (NSFC) ; MOE project of Humanities and Social Sciences ; Beijing Higher Education Young Elite Teacher Project ; Fundamental Research Funds for the Central Universities ; project of Key Laboratory of Carrying Capacity Assessment for Resource and Environment of Ministry of Land and Resource |
| 源URL | [http://ir.igsnrr.ac.cn/handle/311030/65321]  |
| 专题 | 中国科学院地理科学与资源研究所 |
| 通讯作者 | Wang, Xibo |
| 作者单位 | 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 |
| 推荐引用方式 GB/T 7714 | Ge, Jianping,Wang, Xibo,Guan, Qing,et al. World rare earths trade network: Patterns, relations and role characteristics[J]. RESOURCES POLICY,2016,50:119-130. |
| APA | Ge, Jianping,Wang, Xibo,Guan, Qing,Li, Weiheng,Zhu, He,&Yao, Min.(2016).World rare earths trade network: Patterns, relations and role characteristics.RESOURCES POLICY,50,119-130. |
| MLA | Ge, Jianping,et al."World rare earths trade network: Patterns, relations and role characteristics".RESOURCES POLICY 50(2016):119-130. |
入库方式： OAI收割
来源：地理科学与资源研究所
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