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国际出口模式的网络分析

Network analysis of international export pattern.

作者信息

Gönçer-Demiral Dilek, İnce-Yenilmez Meltem

机构信息

Department of Foreign Trade, Recep Tayyip Erdogan University, Rize, Türkiye.

Department of Economics, İzmir Democracy University, İzmir, Türkiye.

出版信息

Soc Netw Anal Min. 2022;12(1):156. doi: 10.1007/s13278-022-00984-8. Epub 2022 Oct 23.

Abstract

There is a relationship between the trade flows of the countries and their economic growth potential and development. One way to analyze the trade flows of countries with each other is the use of network analysis techniques. Network analysis uses a visual, mathematical and statistical approach to identify and quantify the structural properties of networks. In this study, the relationship of the first 50 countries in the world in terms of export volume was evaluated with Gephi 0.9.2, one of the social network analysis programs. The effect of the COVID-19 epidemic disease on the commercial flows of the countries is the main purpose of the study. The existence of the effective role of geographic proximity in commercial flows, the commercial partners of the countries, the centrality criteria and the existence of countries that have an active role in the world are clarified with this study.

摘要

国家的贸易流动与其经济增长潜力和发展之间存在着一种关系。分析各国之间贸易流动的一种方法是使用网络分析技术。网络分析采用可视化、数学和统计方法来识别和量化网络的结构特性。在本研究中,使用社会网络分析程序之一的Gephi 0.9.2对世界上出口量排名前50的国家之间的关系进行了评估。本研究的主要目的是探讨新冠疫情对各国商业流动的影响。本研究阐明了地理 proximity 在商业流动中的有效作用、各国的商业伙伴、中心性标准以及在世界上发挥积极作用的国家的存在情况。 (注:“proximity”常见释义为“接近;临近” ,这里结合语境推测可能是“地理邻近性”之类的意思,但因原文未完整给出准确含义,所以译文保留英文)

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/bc05/9589650/2d7f47638685/13278_2022_984_Fig1_HTML.jpg

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