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“一带一路”贸易网络与全球贸易网络的拓扑关系
Topological relationship between trade network in the Belt and Road Initiative area and global trade network

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文摘 共建“一带一路”倡议致力于建设开放型经济、确保自由包容性贸易。本文基于社区发现法、拓扑网络可视化等方法,对比分析“一带一路”贸易网络与全球贸易网络的拓扑关系,明确其贸易在全球的地位,以期为“一带一路”自由包容性贸易体系建设提供科学支撑。研究发现:①全球贸易网络可以识别出5个组团,其核心节点分别是中国、美国、德—荷—法—英等欧洲发达国家、俄罗斯、印度—阿联酋。②“一带一路”沿线可以识别出3个主组团及2个次组团,其中,亚欧大组团以中国为核心、俄罗斯为次核心,南亚—西亚组团以印度、阿联酋、沙特阿拉伯为核心。③在全球贸易网络中,大部分沿线国家仍被中国、俄罗斯、印度—阿联酋等核心节点所吸引,且与“一带一路”沿线的贸易联系较强;中东欧国家主要被德—荷—法—英等西欧国家核心节点所吸引,是“一带一路”低渗透国家;部分东南亚国家虽然被吸纳到以中国为核心的亚澳—南非组团,但与“一带一路”贸易联系还需加强。
其他语种文摘 Unimpeded trade is one of the priorities of cooperation in the Belt and Road Initiative proposed by China. On 15 May 2017, the Joint Communique of the Leaders Roundtable of the Belt and Road Forum for International Cooperation reaffirmed the participants' shared commitment to build an open economy and ensure free and inclusive trade. The Belt and Road Initiative (BRI) is not only China's new action to drive its open and global development, but also a platform for increasingly more countries to explore free and inclusive trade. It is therefore important to examine the topological relationship between BRI trade network and global trade network, for promoting a universal, rule-based, open, nondiscriminatory, and equitable multilateral trading system. Based on a literature review, this article first analyzes community structure and trade network based on community detection algorithm, and then estimates the topological relationship of different trade communities. The findings of this article are as follows. First, we identified five trade communities in global trade network through community detection algorithm, in which China, USA, Russia, India-UAE, and Germany-the Netherlands-France-Britain and other European developed countries are the cores of the five trade communities, respectively. Second, we identified three trade communities and two sub-communities in the BRI trade network, in which China is the core, Russia is the sub-core of the biggest trade community, and India, UAE, and Saudi Arabia are cores of the second trade community (South Asia-West Asia). Third, the topological analysis results indicate that in the global trade network, most BRI countries are attracted by the core nodes in the BRI area, such as China, Russia, India-UAE core nodes, and have strong trade contact with BRI countries. Most Central-East European countries are mainly attracted by Germany-the Netherlands-France-Britain and other European developed countries with low penetration of BRI trade. Although some Southeast Asian countries are incorporated into the Asia-Australia-South Africa community with China as the core, they still need to strengthen trade linkages with BRI countries.
来源 地理科学进展 ,2017,36(11):1340-1348 【核心库】
DOI 10.18306/dlkxjz.2017.11.003
关键词 一带一路 ; 全球 ; 贸易网络 ; 贸易组团 ; 拓扑关系
地址

中国科学院地理科学与资源研究所, 中国科学院区域可持续发展分析与模拟重点实验室, 北京, 100101

语种 中文
文献类型 研究性论文
ISSN 1007-6301
学科 社会科学总论
基金 国家自然科学基金项目 ;  国家社会科学基金
文献收藏号 CSCD:6120998

参考文献 共 19 共1页

1.  陈银飞. 2000-2009年世界贸易格局的社会网络分析. 国际贸易问题,2011(11):31-42 被引 31    
2.  段文奇. 国际贸易网络拓扑结构的演化. 系统工程理论与实践,2008,28(10):71-75,81 被引 14    
3.  公丕萍. 中国与“一带一路”沿线国家贸易的商品格局. 地理科学进展,2015,34(5):571-580 被引 38    
4.  何敏. 中国与"一带一路"国家农产品贸易竞争性和互补性分析. 农业经济问题,2016(11):51-60 被引 10    
5.  刘建国. "一带一路"能源合作问题研究. 中国能源,2015,37(7):17-20 被引 4    
6.  刘卫东. “一带一路”:引领包容性全球化. 中国科学院院刊,2017,32(4):331-339 被引 17    
7.  刘卫东. 以"丝路精神"推动世界和平与发展: 学习习近平总书记关于"一带一路"建设的思想. 紫光阁,2017(7):16-17 被引 1    
8.  马述忠. 一国农产品贸易网络特征及其对全球价值链分工的影响: 基于社会网络分析视角. 管理世界,2016(3):60-72 被引 37    
9.  马远. "一带一路"沿线国家天然气贸易网络结构及影响因素. 世界经济研究,2017(3):109-122 被引 16    
10.  宋周莺. 我国与"一带一路"沿线国家贸易特征研究. 中国科学院院刊,2017,32(4):365-369 被引 3    
11.  孙晓蕾. 全球原油贸易网络拓扑结构与演化特征识别. 世界经济研究,2012(9):11-17 被引 6    
12.  王娜. "丝绸之路经济带"贸易联系网络结构研究: 基于省区尺度和国家尺度的社会网络分析. 西部论坛,2015(3):55-65 被引 3    
13.  许和连. 贸易网络地位、研发投入与技术扩散: 基于全球高端制造业贸易数据的实证研究. 中国软科学,2015(9):55-69 被引 5    
14.  邹嘉龄. 2001~2013年中国与“一带一路”沿线国家贸易网络分析. 地理科学,2016,36(11):1629-1636 被引 49    
15.  Blondel V D. Fast unfolding of communities in large networks. Journal of Statistical Mechanics: Theory and Experiment,2008,2008(10):155-168 被引 528    
16.  Cinar E M. Estimating Chinese trade relationships with the Silk Road countries. China &World Economy,2016,24(1):85-103 被引 4    
17.  Fagiolo G. The evolution of the world trade web: A weighted-network analysis. Journal of Evolutionary Economics,2010,20(4):479-514 被引 33    
18.  Liu W D. Inclusive globalization: Unpacking China's Belt and Road Initiative. Area Development and Policy,2016,1(3):323-340 被引 22    
19.  Serrano M A. Topology of the world trade web. Physical Review E,2003,68:015101 被引 49    
引证文献 28

1 刘卫东 “一带一路”建设研究进展 地理学报,2018,73(4):620-636
被引 43

2 尹鹏 中国与小岛屿发展中国家贸易特征与影响因素 经济地理,2019,39(3):117-124
被引 4

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