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DOI: 10.1371/journal.pone.0140951
论文题名:
Discovering Preferential Patterns in Sectoral Trade Networks
作者: Isabella Cingolani; Carlo Piccardi; Lucia Tajoli
刊名: PLOS ONE
ISSN: 1932-6203
出版年: 2015
发表日期: 2015-10-20
卷: 10, 期:10
语种: 英语
英文关键词: Centrality ; Structure of markets ; Electronics ; Network analysis ; International trade ; China ; Economic geography ; Finance
英文摘要: We analyze the patterns of import/export bilateral relations, with the aim of assessing the relevance and shape of “preferentiality” in countries’ trade decisions. Preferentiality here is defined as the tendency to concentrate trade on one or few partners. With this purpose, we adopt a systemic approach through the use of the tools of complex network analysis. In particular, we apply a pattern detection approach based on community and pseudocommunity analysis, in order to highlight the groups of countries within which most of members’ trade occur. The method is applied to two intra-industry trade networks consisting of 221 countries, relative to the low-tech “Textiles and Textile Articles” and the high-tech “Electronics” sectors for the year 2006, to look at the structure of world trade before the start of the international financial crisis. It turns out that the two networks display some similarities and some differences in preferential trade patterns: they both include few significant communities that define narrow sets of countries trading with each other as preferential destinations markets or supply sources, and they are characterized by the presence of similar hierarchical structures, led by the largest economies. But there are also distinctive features due to the characteristics of the industries examined, in which the organization of production and the destination markets are different. Overall, the extent of preferentiality and partner selection at the sector level confirm the relevance of international trade costs still today, inducing countries to seek the highest efficiency in their trade patterns.
URL: http://journals.plos.org/plosone/article/file?id=10.1371/journal.pone.0140951&type=printable
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资源类型: 期刊论文
标识符: http://119.78.100.158/handle/2HF3EXSE/21074
Appears in Collections:过去全球变化的重建
影响、适应和脆弱性
科学计划与规划
气候变化与战略
全球变化的国际研究计划
气候减缓与适应
气候变化事实与影响

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作者单位: Department of Management, Economics, and Industrial Engineering, Politecnico di Milano, Italy;Department of Electronics, Information, and Bioengineering, Politecnico di Milano, Italy;Department of Management, Economics, and Industrial Engineering, Politecnico di Milano, Italy

Recommended Citation:
Isabella Cingolani,Carlo Piccardi,Lucia Tajoli. Discovering Preferential Patterns in Sectoral Trade Networks[J]. PLOS ONE,2015-01-01,10(10)
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