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全球227个国家和地区贸易网络数据集(1985–2015)

Trade Network Dataset Development in 227 Countries and Regions (1985–2015)
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摘要 基于联合国贸易和发展大会(United Nations Conferenceon Trade and Development,UNCTAD)发布的全球各国双边货物贸易基础数据,通过Ucinet计算各节点中心度、结构熵等指标,研究了1985–2015年(5个截面)全球227个国家和地区贸易网络的空间格局及演化特征,得到了《227个国家和地区贸易网络数据集(1985–2015)》。数据结果表明,全球贸易网络的社团演化经历了发达国家主导、亚洲崛起的萌芽、亚洲社团的分离和"三足鼎立"四个阶段。该数据集包括结果数据和附表过程数据,其中结果数据包括:(1)1985、1995、2005、2009和2015年5个年度的全球贸易网络邻接矩阵数据;(2)1985年和2015年全球主要国家网络结构熵值;(3)2015年全球贸易网络Top1、Top2联系流数据。过程数据包括UNCTAD数据库下载的双边进口、出口的原始数据。数据集存储为.xlsx格式,数据量为11.4 MB(压缩后8.7 MB)。该数据集的研究成果发表在《地理研究》2018年第37卷第3期。 Based on the bilateral trade data of various countries published by United Nations Conference on Trade and Development(UNCTAD),this paper explored the spatial distribution and evolution characteristics of trade networks in 227 countries and regions during the period from 1985 to 2015(5 sections selected).By calculating degree centrality,structure entropy and other indicators via Ucinet,the researchers obtained the trade network dataset of 227 countries and regions in this period.The results showed that the community evolution of global trade network had been through four stages:initially,global trade was dominated by developed countries;then,Asian countries began to emerge;later on,the Asian community became independent in global trade;eventually the three-pillar system was formed.The result data and process data were included in this dataset.Specifically,the result data refer to:(1)the adjacency matrix of global trade networks in 1985,1995,2005,2009,and 2015;(2)the values of network structure entropy in major countries around the world in 1985 and 2015;(3)the connection flow data of global trade network Top1 and Top2 in 2015.The process data in the attachment are the raw data of bilateral imports and exports downloaded from UNCTAD database.The dataset is archived in.xlsx format with a data size of 11.4 MB(8.7 MB after compression).The research results of the dataset were published in Geographical Research(Vol.37,No.3,2018).
作者 蒋小荣 杨永春 汪胜兰 Jiang,X.R.;Yang,Y.C.;Wang,S.L.(College of Resource Environment and Tourism,Hubei University of Arts and Science,Xiangyang 441053,China;College of Earth and Environmental Sciences,Lanzhou University,Lanzhou 730000,China)
出处 《全球变化数据学报(中英文)》 CSCD 2019年第3期227-233,337-343,共14页 Journal of Global Change Data & Discovery
基金 国家自然科学基金(41571155) 湖北省高校(2019JDA008).
关键词 全球贸易网络 网络矩阵 结构熵 地理研究 global trade network network matrix structure entropy Geographical Research
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