首页|Temporal and spatial evolution of global major grain trade patterns

Temporal and spatial evolution of global major grain trade patterns

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  • 国家科技期刊平台
  • NETL
  • NSTL
  • 万方数据
The complex and volatile international landscape has significantly impacted global grain supply security.This study uses a complex network analysis model to examine the evolution and trends of the global major grain trade from 1990 to 2020,focusing on network topology,centrality ranking,and community structure.There are three major findings.First,the global major grain trade network has expanded in scale,with a growing emphasis on diversification and balance.During the study period,the United States,Canada,China,and Brazil were the core nodes of the network.Grain-exporting countries were mainly situated in Asia,the Americas,and Europe,and importing countries in Asia,Africa,and Europe.Second,a significant increase in the number of high centrality countries with high export capacity occurred,benefiting from natural advantages such as fertile land and favorable climates.Third,the main global grain trade network is divided into four communities,with the Americas-Europe community being the largest and most widespread.The formation of the community pattern was influenced by geographic proximity,driven by the core exporting countries.Therefore,the world needs to enhance the existing trade model,promote the multi-polarization of the grain trade network,and establish a global vision for the future community.Countries and regions should participate actively in global grain trade security governance and institutional reform,expand trade links with other countries,and optimize import and export policies to reduce trade risks.

grain tradepattern evolutioncomplex network

Ziqi Yin、Jiaxuan Hu、Jing Zhang、Xiangyang Zhou、Lingling Li、Jianzhai Wu

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Agricultural Information Institute,Chinese Academy of Agricultural Sciences,Beijing 100081,China

Institute of Scientific and Technical Information of China,Beijing 100038,China

Zibo Agricultural Science Research Institute,Zibo 255000,China

Zibo Institute for Digital Agriculture and Rural Research,Zibo 255000,China

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National Natural Science Foundation of ChinaChinese Academy of Agricultural Sciences Innovation ProjectCentral Publicinterest Scientific Institution Basal Research Fund,ChinaCentral Publicinterest Scientific Institution Basal Research Fund,China

42271313CAAS-ASTIP-2021-AIIJBYW-AII-2022-06JBYW-AII-2022-40

2024

10.1016/j.jia.2023.10.032

农业科学学报(英文)
中国农业科学院农业信息研究所

农业科学学报(英文)

CSTPCD
影响因子：0.576
ISSN：2095-3119
年,卷(期)：2024.23(3)
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