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DOI10.1088/1748-9326/aabf23
Identifying the community structure of the food-trade international multi-network
Torreggiani, S.1,2; Mangioni, G.3; Puma, M. J.4,5,6; Fagiolo, G.1
2018-05-01
发表期刊ENVIRONMENTAL RESEARCH LETTERS
ISSN1748-9326
出版年2018
卷号13期号:5
文章类型Article
语种英语
国家Italy; England; USA
英文摘要

Achieving international food security requires improved understanding of how international trade networks connect countries around the world through the import-export flows of food commodities. The properties of international food trade networks are still poorly documented, especially from a multi-network perspective. In particular, nothing is known about the multi-network's community structure. Here we find that the individual crop-specific layers of the multi-network have densely connected trading groups, a consistent characteristic over the period 2001-2011. Further, the multi-network is characterized by low variability over this period but with substantial heterogeneity across layers in each year. In particular, the layers are mostly assortative: more-intensively connected countries tend to import from and export to countries that are themselves more connected. We also fit econometric models to identify social, economic and geographic factors explaining the probability that any two countries are co-present in the same community. Our estimates indicate that the probability of country pairs belonging to the same food trade community depends more on geopolitical and economic factors-such as geographical proximity and trade-agreement co-membership-than on country economic size and/or income. These community-structure findings of the multi-network are especially valuable for efforts to understand past and emerging dynamics in the global food system, especially those that examine potential 'shocks' to global food trade.


英文关键词complex networks community-structure detection multi-layer networks food security international trade
领域气候变化
收录类别SCI-E ; SSCI
WOS记录号WOS:000431996700001
WOS关键词FLOWS ; AGRICULTURE ; SECURITY ; DEMAND ; FUTURE ; SYSTEM ; MODEL ; RISK
WOS类目Environmental Sciences ; Meteorology & Atmospheric Sciences
WOS研究方向Environmental Sciences & Ecology ; Meteorology & Atmospheric Sciences
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文献类型期刊论文
条目标识符http://119.78.100.173/C666/handle/2XK7JSWQ/30971
专题气候变化
作者单位1.Scuola Super Sant Anna, Ist Econ, Pisa, Italy;
2.SOAS Univ London, London, England;
3.Univ Catania, Dipartimento Ingn Elettr Elettron & Informat, Catania, Italy;
4.Columbia Univ, Ctr Climate Syst Res, New York, NY 10027 USA;
5.Columbia Univ, Ctr Climate & Life, New York, NY 10027 USA;
6.NASA, Goddard Inst Space Studies, New York, NY 10025 USA
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GB/T 7714
Torreggiani, S.,Mangioni, G.,Puma, M. J.,et al. Identifying the community structure of the food-trade international multi-network[J]. ENVIRONMENTAL RESEARCH LETTERS,2018,13(5).
APA Torreggiani, S.,Mangioni, G.,Puma, M. J.,&Fagiolo, G..(2018).Identifying the community structure of the food-trade international multi-network.ENVIRONMENTAL RESEARCH LETTERS,13(5).
MLA Torreggiani, S.,et al."Identifying the community structure of the food-trade international multi-network".ENVIRONMENTAL RESEARCH LETTERS 13.5(2018).
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