globalchange  > 气候变化事实与影响
DOI: 10.5194/hess-20-4223-2016
Scopus记录号: 2-s2.0-84992379366
论文题名:
Analysis of the characteristics of the global virtual water trade network using degree and eigenvector centrality, with a focus on food and feed crops
作者: Lee S; -H; , Mohtar R; H; , Choi J; -Y; , Yoo S; -H
刊名: Hydrology and Earth System Sciences
ISSN: 10275606
出版年: 2016
卷: 20, 期:10
起始页码: 4223
结束页码: 4235
语种: 英语
Scopus关键词: Crops ; Eigenvalues and eigenfunctions ; Water conservation ; Water management ; Water resources ; Degree centrality ; Eigenvector centralities ; Republic of Korea ; Russian federation ; Virtual water trade ; Vulnerable structures ; Water shortages ; Waterresource management ; Commerce ; connectivity ; crop production ; export ; international trade ; resource management ; trade agreement ; water planning ; water resource ; water stress ; water use efficiency ; Argentina ; Brazil ; Canada ; Far East ; Mexico [North America] ; Russian Federation ; Southeast Asia ; United States
英文摘要: This study aims to analyze the characteristics of global virtual water trade (GVWT), such as the connectivity of each trader, vulnerable importers, and influential countries, using degree and eigenvector centrality during the period 2006-2010. The degree centrality was used to measure the connectivity, and eigenvector centrality was used to measure the influence on the entire GVWT network. Mexico, Egypt, China, the Republic of Korea, and Japan were classified as vulnerable importers, because they imported large quantities of virtual water with low connectivity. In particular, Egypt had a 15.3 Gm3year-1 blue water saving effect through GVWT: the vulnerable structure could cause a water shortage problem for the importer. The entire GVWT network could be changed by a few countries, termed "influential traders". We used eigenvector centrality to identify those influential traders. In GVWT for food crops, the USA, Russian Federation, Thailand, and Canada had high eigenvector centrality with large volumes of green water trade. In the case of blue water trade, western Asia, Pakistan, and India had high eigenvector centrality. For feed crops, the green water trade in the USA, Brazil, and Argentina was the most influential. However, Argentina and Pakistan used high proportions of internal water resources for virtual water export (32.9 and 25.1%); thus other traders should carefully consider water resource management in these exporters. © 2016 The Author(s).
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资源类型: 期刊论文
标识符: http://119.78.100.158/handle/2HF3EXSE/78706
Appears in Collections:气候变化事实与影响

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作者单位: Department of Biological and Agricultural Engineering, Texas AandM University, College Station, TX, United States; Department of Rural Systems Engineering and Research, Institute for Agriculture and Life Sciences, Seoul National University, Seoul, South Korea; Department of Rural and Bio-systems Engineering, Chonnam National University, Gwangju, South Korea

Recommended Citation:
Lee S,-H,, Mohtar R,et al. Analysis of the characteristics of the global virtual water trade network using degree and eigenvector centrality, with a focus on food and feed crops[J]. Hydrology and Earth System Sciences,2016-01-01,20(10)
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