Analysis of export and import structures using network methods (on the example of the agricultural market)

S. Lapinova, Alena Anikina, A. Osharin
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Abstract

Analysis of trade cooperation between countries and identification of the most significant market participants is of great importance, both theoretically and empirically. The global trading community forms a network of international relations defined by trade contracts in various industries. Export-import trade flows are one of the key indicators of the level of cooperation among countries and the state of the global economy. The high intensity of such contacts across groups of countries suggests the existence of clusters in this market segment,consisting of central players — exporters and importers, who often define rules for other participants.Understanding the existence and identification of such a center helps to develop an optimal international trade strategy. The purpose of this contribution is to identify factors affecting trade flows among different countries. Statistical analysis of the international trade relations does not always reveal all the essential aspects of cooperation. This paper combines the methods of graph theory and econometric analysis to study the parameters of trade flows among countries. The parameters used in the network analysis make it possible to obtain additional characteristics of market participants, which help to evaluate their significance in the world trade. The paper also identifies some key mathematical and economic characteristics of export-import flows connecting destination countries. We have analyzed the directions of changes in world trade and established correspondences between metric characteristics of graph vertices and parameters of world trade models. The Russian indicators in export/import categories and its largest sales agents are estimated. The identification of the key intermediaries and importers (centers and authorities) on each of the markets in question has been carried out. As an example for this identification the market of agricultural products among the world’s largest exporters and importers of the product were used.
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基于网络方法的进出口结构分析(以农产品市场为例)
分析国家间的贸易合作,确定最重要的市场参与者,在理论上和经验上都是非常重要的。全球贸易界形成了一个由各行各业的贸易合同所界定的国际关系网络。进出口贸易流量是国家间合作水平和全球经济状况的关键指标之一。跨国家集团的这种高强度接触表明,在这一细分市场中存在集群,由核心参与者- -出口商和进口商- -组成,他们经常为其他参与者制定规则。了解这种中心的存在和识别,有助于制定最优的国际贸易战略。这份报告的目的是确定影响不同国家之间贸易流动的因素。对国际贸易关系的统计分析并不总是能揭示合作的所有重要方面。本文采用图论和计量经济学相结合的方法,对国与国之间贸易流动的参数进行了研究。网络分析中使用的参数使人们能够获得市场参与者的额外特征,这有助于评价他们在世界贸易中的重要性。本文还确定了连接目的国的进出口流动的一些关键数学和经济特征。分析了世界贸易变化的方向,建立了图顶点度量特征与世界贸易模型参数的对应关系。对俄罗斯出口/进口类别的指标及其最大的销售代理进行了估计。已查明每个有关市场上的主要中介人和进口商(中心和当局)。本文以世界上最大的农产品出口国和进口国之间的农产品市场为例进行了这种识别。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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来源期刊
CiteScore
1.30
自引率
20.00%
发文量
9
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