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基于产业链的全球铜贸易网络结构研究
引用本文:计启迪,刘卫东,陈伟,王涛.基于产业链的全球铜贸易网络结构研究[J].地理科学,2021,41(1):44-54.
作者姓名:计启迪  刘卫东  陈伟  王涛
作者单位:1.中国科学院地理科学与资源研究所/区域可持续发展分析与模拟重点实验室,北京 100101
2.中国科学院大学资源与环境学院,北京 100049
基金项目:中国科学院战略性先导科技专项
摘    要:基于产业链视角研究铜贸易网络,构建了2017年铜矿石、粗铜、精炼铜、铜材和废杂铜5类含铜产品的全球贸易网络,对比产业链上各环节产品的贸易网络的拓扑结构,以全面刻画铜资源的全球流动以及国家(地区)之间的铜贸易关系。主要结论如下:① 2001年以来,全球含铜产品贸易重量稳定增长,其中铜矿石贸易重量最大,精炼铜次之。② 5类含铜产品贸易网络的拓扑结构存在明显差异,根据社区发现算法可划分为4~8个组团,模块度在0.216~0.482之间。由于资源禀赋和工业体系发展程度不同,大部分国家(地区)在5类贸易网络中分属于不同的组团。③ 中国对铜资源的需求巨大,围绕着中国的需求产生的贸易关系在铜矿石、粗铜、精炼铜、废杂铜4类贸易网络中都构成第一大组团,分别包含47、102、120、135个国家(地区),表明中国在全球铜贸易中占有重要地位,但也反映了中国铜资源自给率低、对外依存度大等问题。

关 键 词:贸易网络  铜产业链  铜资源  拓扑结构  贸易组团  
收稿时间:2020-01-07
修稿时间:2020-04-24

Structure of Global Copper-containing Products Trade Network Based on Industrial Chain Perspective
Ji Qidi,Liu Weidong,Chen Wei,Wang Tao.Structure of Global Copper-containing Products Trade Network Based on Industrial Chain Perspective[J].Scientia Geographica Sinica,2021,41(1):44-54.
Authors:Ji Qidi  Liu Weidong  Chen Wei  Wang Tao
Institution:1. Key Laboratory of Regional Sustainable Development Modeling, Institute of Geographic Sciences and Natural Resources Research, Chinese Academy of Sciences, Beijing 100101, China
2. School of Resources and Environment, University of Chinese Academy of Sciences, Beijing 100049, China
Abstract:By comparing topology structure of various copper-containing product trade network, this article comprehensively describes the global flow of copper resources and copper trade relations among countries or regions, which is conducive to enhancing the understanding of different countries and regions’ comparative advantages in the global value chain and promoting the sustainable use of resources. We build 5 types of global copper-containing product trade networks using bilateral trade data of copper ore, blister, refined copper, copper semis and copper scrap in the year of 2017. The data are collected from UNCOMTRADE and ITC Trade map database. Since the data are too huge to analyse, we first identify the backbone network using TopN method to simplify data and keep as much information as possible at the same time. Top2, Top2, Top3, Top10, and Top4 networks have been identified to represent the integral network of copper ore, blister, refined copper, copper semis and copper scrap respectively. After that, we adopt network analysis methods such as community detection to study the topology structures of each type of global copper-containing product trade networks, and discuss their similarities and differences. The main conclusions are as follows. 1) Since 2001, the global trade quantities of copper-containing products have increased steadily, indicating that the demand for copper resources for world economic development has been increasing continuously. Among them, the trade quantities of copper ore are the largest, followed by refined copper, and blister is the smallest. The pattern of supply and demand of 5 copper-containing products trade is different. 2) Trade relations mainly occur between countries and regions with higher industrialization level or better industrial system in the copper resource field. And there are obvious differences in the topological structure of 5 copper-containing product trade networks. 3) According to the results of community detecting algorithm, these networks can be divided into a range of communities from 4 to 8 with the module degree between 0.216 and 0.482. Most countries and regions belong to different communities in five types of trade networks due to difference in resource endowments and industrialization development stages. 4) China has huge demand for copper resource. In the trade network of copper ore, blister,refined copper and copper scrap, countries related to China’s demand formed the largest community, indicating that it occupies an important position in the global copper trade, and reflecting problems of Chinese copper resources such as the low self-sufficiency rate and large dependence on other countries and regions. China should maintain good cooperative relations with the countries and regions within the same community to reduce the supply risk of copper resources.
Keywords:trade network  copper industry chain  copper resource  topology structure  trade community
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