Evolution of international trade and investment networks
Evolution of international trade and investment networks
复制标题
DOI：
10.1016/j.physa.2016.06.117
复制
发表时间：
2016-11
影响因子：
3.3
通讯作者：
Shuhong Zhang;Lin Wang;Zhixin Liu;Xiaofan Wang
中科院分区：
文献类型：
--
作者：
Shuhong Zhang;Lin Wang;Zhixin Liu;Xiaofan Wang
本文构建了一个由国际贸易网络（ITN）和国际投资网络（IIN）两层构成的国际经济网络（IEN）模型，对2001 - 2010年的世界经济进行了研究。首先，结构分析表明，中国与东盟的贸易和投资伙伴的平均数量都在逐年增加，但2008年投资伙伴的平均数量和2009年贸易伙伴的平均数量都有明显下降。与ITN相比，IIN具有更长的平均路径长度和更低的边缘密度，但其聚类系数在所有年份都较大。其次，区域相关性分析表明，两国之间的距离越远，其贸易和投资额一般越小，地理距离的影响随着时间的推移逐渐减小，并通过Pagerank对ITN、IIN和IEN中的国家和地区进行排名，说明它们所发挥的作用。最后，检测社区结构以可视化全球经济格局，根据贸易或投资总额对同一社区中的国家和地区进行排名。
In this paper, an evolving two-layer international economy network (IEN) consisting of international trade network (ITN) and international investment network (IIN) as layers, is constructed to investigate the world economy from 2001 to 2010. First, the structure analysis shows that the average partner numbers for both trade and investment are increasing year by year, and the average volume has a significant decrease in 2008 for investment and 2009 for trade. The IIN has longer average path length and dramatically lower edge density compared with the ITN, yet its clustering coefficient is larger in all years. Then, the regional relativity indicates that the longer the distance between two countries, the smaller trade and investment volumes they carry in are general, and the impact of the geographical distance gradually reduces as time goes on. Furthermore, the countries and regions are ranked by Pagerank in ITN, IIN and IEN to illustrate the roles they played. And finally, community structures are detected to visualize the global economic landscape, with countries and regions in the same community ranked according to the total volume of trade or investment.