Temporal and spatial evolution of global major grain trade patterns
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 comm...
| Main Authors: | , , , , , |
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| Format: | Article |
| Language: | English |
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Elsevier
2024-03-01
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| Series: | Journal of Integrative Agriculture |
| Subjects: | |
| Online Access: | http://www.sciencedirect.com/science/article/pii/S209531192300374X |
| _version_ | 1797261836501909504 |
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| author | Ziqi Yin Jiaxuan Hu Jing Zhang Xiangyang Zhou Lingling Li Jianzhai Wu |
| author_facet | Ziqi Yin Jiaxuan Hu Jing Zhang Xiangyang Zhou Lingling Li Jianzhai Wu |
| author_sort | Ziqi Yin |
| collection | DOAJ |
| description | 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. |
| first_indexed | 2024-04-24T23:47:33Z |
| format | Article |
| id | doaj.art-5384f747ab9c498e9ac5db3e45704ca4 |
| institution | Directory Open Access Journal |
| issn | 2095-3119 |
| language | English |
| last_indexed | 2024-04-24T23:47:33Z |
| publishDate | 2024-03-01 |
| publisher | Elsevier |
| record_format | Article |
| series | Journal of Integrative Agriculture |
| spelling | doaj.art-5384f747ab9c498e9ac5db3e45704ca42024-03-15T04:43:11ZengElsevierJournal of Integrative Agriculture2095-31192024-03-0123310751086Temporal and spatial evolution of global major grain trade patternsZiqi Yin0Jiaxuan Hu1Jing Zhang2Xiangyang Zhou3Lingling Li4Jianzhai Wu5Agricultural Information Institute, Chinese Academy of Agricultural Sciences, Beijing 100081, China; Institute of Scientific and Technical Information of China, Beijing 100038, ChinaAgricultural Information Institute, Chinese Academy of Agricultural Sciences, Beijing 100081, ChinaAgricultural Information Institute, Chinese Academy of Agricultural Sciences, Beijing 100081, ChinaAgricultural Information Institute, Chinese Academy of Agricultural Sciences, Beijing 100081, ChinaZibo Agricultural Science Research Institute, Zibo 255000, China; Zibo Institute for Digital Agriculture and Rural Research, Zibo 255000, ChinaAgricultural Information Institute, Chinese Academy of Agricultural Sciences, Beijing 100081, China; Correspondence Jianzhai WuThe 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.http://www.sciencedirect.com/science/article/pii/S209531192300374Xgrain tradepattern evolutioncomplex network |
| spellingShingle | Ziqi Yin Jiaxuan Hu Jing Zhang Xiangyang Zhou Lingling Li Jianzhai Wu Temporal and spatial evolution of global major grain trade patterns Journal of Integrative Agriculture grain trade pattern evolution complex network |
| title | Temporal and spatial evolution of global major grain trade patterns |
| title_full | Temporal and spatial evolution of global major grain trade patterns |
| title_fullStr | Temporal and spatial evolution of global major grain trade patterns |
| title_full_unstemmed | Temporal and spatial evolution of global major grain trade patterns |
| title_short | Temporal and spatial evolution of global major grain trade patterns |
| title_sort | temporal and spatial evolution of global major grain trade patterns |
| topic | grain trade pattern evolution complex network |
| url | http://www.sciencedirect.com/science/article/pii/S209531192300374X |
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