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G20国家间贸易网络特征研究 被引量:2

The Study of the Characteristics of Trade Network Structure among Country Members in G20
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摘要 在国际贸易协作日益强化而国际贸易争端频繁爆发的背景下,以G20国家为例,基于2000—2016年进出口贸易数据,运用社会网络分析方法研究贸易的空间关联关系及其网络效应。结果表明:G20国家间出口贸易空间关联呈现多线程的网络结构,网络效率和网络等级度基本稳定;中、日、韩、印度和俄罗斯等国的进出口贸易中心度较高;G20国家可以分成4个功能板块;量化比较3种网络中心度对贸易的影响可知,与点度中心度和中介中心度不同的是,接近中心度对进出口贸易都有正向促进作用。 Despite the rise of trade protectionism from time to time in the process of economic integration,G20 member countries have formed a unique trade network structure as cooperation strengthens.Based on the import and export trade data of G20 countries between 2000 and 2016,this paper analyzes the spatial relationship among G20 countries'export trade and its network effect,and then the contribution of G20 countries'trade to national economic growth.The research shows that the spatial correlations of G20 countries exhibit a multi-threaded network structure,and the network efficiency and network level are overall stable.The centrality of China,India,Brazil,Russia and the United States are relatively higher.Such network structure characteristics are reflections of free trade.G20 countries can be grouped into four categories in terms of"two-way spillovers".An in-depth quantitative analysis also finds that closeness centrality has a positive facilitating effect both on trade and economy,which is different from the effects of degree centrality and betweenness centrality.
作者 孙爱军 SUN Aijun(School of Economics,Law and Politics,Jiangsu Second Normal University,Nanjing 210013,China)
出处 《河海大学学报(哲学社会科学版)》 CSSCI 北大核心 2019年第1期42-50,106,共10页 Journal of Hohai University:Philosophy and Social Sciences
基金 国家社会科学基金项目(13BJY069)
关键词 G20 社会网络分析 空间关联 贸易网络 网络特征 G20 social network analysis spatial correlation trade netuork characteristics of trade network
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