基于社会网络分析法的国际贸易网络结构及演化研究
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- 英文论文题名：Research on the Structure and Evolution of International Trade Network Based on Social Network Analysis
- 论文作者：罗仕龙 ; 龚凯 ; 邢欣 ; 张东宁
- 英文论文作者：LUO Shi-long ; GONG Kai ; XING Xin ; ZHANG Dong-ning ; School of Economic Information Engineering ; Southwestern University of Finance and Economics ; Internet financial innovation and regulatory Collaborative Innovation Center
- 年：2016
- 作者机构：西南财经大学经济信息工程学院;互联网金融创新及监管协同创新中心;
- 论文关键词：国际贸易网络 ; 社会网络分析 ; 结构演化
- 英文论文关键词：international trade network ; social network analysis ; Structure evolution
- 会议召开时间：2016-11-12
- 会议录名称：第十八届中国管理科学学术年会论文集
- 英文会议录名称：Proceedings of the 18th Chinese Annual Conference on Management Science
- 语种：中文
- 分类号：F742
- 学会代码：ZHYJ
- 会议名称：第十八届中国管理科学学术年会
- 会议地点：中国陕西西安
- 主办单位：中国优选法统筹法与经济数学研究会、西安交通大学、中国科学院科技战略咨询研究院、《中国管理科学》编辑部
- 学会名称：中国优选法统筹法与经济数学研究会
- 页数：6
- 文件大小：690k
- 原文格式：O
- 会议级别：全国
摘要
研究在经济全球一体化进程中世界贸易格局的演化对我国制定对外贸易政策和新时期的外贸发展战略,以抓住经济全球化带来的机遇来提升我国的国际市场地位和保障我国外贸稳定增长的态势具有重大意义。本文利用联合国商品贸易统计数据构建国际贸易网络,并采用社会网络分析方法研究2000—2010年国际贸易网络的演化。分析发现,十余年来国际贸易网络的核心国家几乎没有增加。另外,通过将介数和强度作为变量的聚类分析发现:少数国家这十年间的国际贸易地位有明显提升;国家在贸易网络的核心性具有清晰及较为稳定的层次性。
To seize the opportunities brought by the economic globalization and guarantee steady growth of trade in China,the evolution of world trade pattern is analyzed.International trade network(ITN) from2000 to 2010 is established based on the data from UN Commodity Trade Statistic Database.Furthermore,social network analysis is combined with cluster analysis to analyze ITN deeply.The research reveals that the core countries of ITN barely increased in this decade.Moreover,the cluster analysis displays that the positions of a few countries have improved significantly.Additionally,the core countries in ITN have clear and stable hierarchy.
To seize the opportunities brought by the economic globalization and guarantee steady growth of trade in China,the evolution of world trade pattern is analyzed.International trade network(ITN) from2000 to 2010 is established based on the data from UN Commodity Trade Statistic Database.Furthermore,social network analysis is combined with cluster analysis to analyze ITN deeply.The research reveals that the core countries of ITN barely increased in this decade.Moreover,the cluster analysis displays that the positions of a few countries have improved significantly.Additionally,the core countries in ITN have clear and stable hierarchy.
引文
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[13]Watts D J,Strogatz S H.Collective dynamics of'smallworld'networks[J].Nature,1998,393(6684):440-442.
[14]Barabasi A L.Albert R.Emergence of scaling in random networks[J].Science,1999,286(5439):509-512.
[15]Albert R,Albert I,Nakarado G L.Structural vulnerability of the North American power grid[J].Physical Review E Statistical Nonlinear&Soft Matter Physics,2004,69(2 Pt 2):292-313.
[16]Guimerd,R,Mossa S,Turtschi A,et al.The worldwide air transportation network:Anomalous centrality,community structure,and cities'global roles[J].Proceedings of the National Academy of Sciences of the United States of America,2005,102(22):7794-7799.
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[19]Freeman L C.A set of measures of centrality based on betweenness[J].Sociometry,1977,40(1):35-41.
[20]Ebel H.Mielsch L I,Bornholdt S.Scale-free topology of e-mail networks[J].Physical Review E Statistical Nonlinear&Soft Matter Physics,2002,66(3):1-4.
[21]Jeong H,Mason S P,Barabdsi A L,et al.Lethality and centrality in protein networks Nature 411[J].Nature,2001,411(6833),41-42.
[22]Jeong H.Tombor B,Albert R,et al.The large-scale organization of metabolic networks[J].Nature,2000,407(6804):651-654.
[23]Barabdsi A L,Albert RJeong H.Mean-field theory for scale-free random networks[J].Physica A Statistical Mechanics&Its Applications,1999,272(1-2):173-187.
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