Exploring the evolution of global beef trade network patterns based on complex network analysis
IntroductionThe global beef trade, as a critical component of the meat trade, plays an important role in balancing beef supply and demand worldwide. However, research on the evolution of its network patterns remains relatively limited. This article aims to explore the evolution of global beef trade...
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| Format: | Article |
| Language: | English |
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Frontiers Media S.A.
2025-01-01
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| Series: | Frontiers in Sustainable Food Systems |
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| Online Access: | https://www.frontiersin.org/articles/10.3389/fsufs.2025.1490578/full |
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| author | Qianqian Wang Wangfang Xu Rongzhu Cheng |
| author_facet | Qianqian Wang Wangfang Xu Rongzhu Cheng |
| author_sort | Qianqian Wang |
| collection | DOAJ |
| description | IntroductionThe global beef trade, as a critical component of the meat trade, plays an important role in balancing beef supply and demand worldwide. However, research on the evolution of its network patterns remains relatively limited. This article aims to explore the evolution of global beef trade network patterns and provide insights into its implications for sustainable development.MethodsUsing complex network theory, this paper constructs weighted and unweighted global beef trade networks based on international trade data and conducts an in-depth analysis of the evolution of global beef trade patterns from 2013 to 2022 across the overall, individual, and clustering levels.ResultsThe analysis reveals an increasing trend in connectivity, efficiency, and tightness within the global beef trade network. In the unweighted network, the core beef-importing countries are primarily concentrated in Germany, the United Arab Emirates, and the Netherlands. However, in the weighted network, the core importing countries shift to the United States, Japan, and China. Meanwhile, the core beef-exporting countries consistently remain Australia, Brazil, and New Zealand in both network types. Additionally, the analysis identifies clustering and regionalization characteristics within the global beef trade blocks.DiscussionThese findings highlight the evolving dynamics of global beef trade, emphasizing the roles of key countries and the structural shifts in the trade network. The study provides targeted recommendations for promoting sustainable development in the beef trade sector. |
| format | Article |
| id | doaj-art-00cde49e66e44404af99f7ebb35e86ed |
| institution | Kabale University |
| issn | 2571-581X |
| language | English |
| publishDate | 2025-01-01 |
| publisher | Frontiers Media S.A. |
| record_format | Article |
| series | Frontiers in Sustainable Food Systems |
| spelling | doaj-art-00cde49e66e44404af99f7ebb35e86ed2025-01-24T07:13:49ZengFrontiers Media S.A.Frontiers in Sustainable Food Systems2571-581X2025-01-01910.3389/fsufs.2025.14905781490578Exploring the evolution of global beef trade network patterns based on complex network analysisQianqian Wang0Wangfang Xu1Rongzhu Cheng2School of Economics and Management, Zhejiang Sci-Tech University, Hangzhou, Zhejiang, ChinaChina Academy for Rural Development, Zhejiang University, Hangzhou, Zhejiang, ChinaCollege of Management, Sichuan Agricultural University, Chengdu, Sichuan, ChinaIntroductionThe global beef trade, as a critical component of the meat trade, plays an important role in balancing beef supply and demand worldwide. However, research on the evolution of its network patterns remains relatively limited. This article aims to explore the evolution of global beef trade network patterns and provide insights into its implications for sustainable development.MethodsUsing complex network theory, this paper constructs weighted and unweighted global beef trade networks based on international trade data and conducts an in-depth analysis of the evolution of global beef trade patterns from 2013 to 2022 across the overall, individual, and clustering levels.ResultsThe analysis reveals an increasing trend in connectivity, efficiency, and tightness within the global beef trade network. In the unweighted network, the core beef-importing countries are primarily concentrated in Germany, the United Arab Emirates, and the Netherlands. However, in the weighted network, the core importing countries shift to the United States, Japan, and China. Meanwhile, the core beef-exporting countries consistently remain Australia, Brazil, and New Zealand in both network types. Additionally, the analysis identifies clustering and regionalization characteristics within the global beef trade blocks.DiscussionThese findings highlight the evolving dynamics of global beef trade, emphasizing the roles of key countries and the structural shifts in the trade network. The study provides targeted recommendations for promoting sustainable development in the beef trade sector.https://www.frontiersin.org/articles/10.3389/fsufs.2025.1490578/fullglobal beeftrade networkcomplex networkpatternssustainable development |
| spellingShingle | Qianqian Wang Wangfang Xu Rongzhu Cheng Exploring the evolution of global beef trade network patterns based on complex network analysis Frontiers in Sustainable Food Systems global beef trade network complex network patterns sustainable development |
| title | Exploring the evolution of global beef trade network patterns based on complex network analysis |
| title_full | Exploring the evolution of global beef trade network patterns based on complex network analysis |
| title_fullStr | Exploring the evolution of global beef trade network patterns based on complex network analysis |
| title_full_unstemmed | Exploring the evolution of global beef trade network patterns based on complex network analysis |
| title_short | Exploring the evolution of global beef trade network patterns based on complex network analysis |
| title_sort | exploring the evolution of global beef trade network patterns based on complex network analysis |
| topic | global beef trade network complex network patterns sustainable development |
| url | https://www.frontiersin.org/articles/10.3389/fsufs.2025.1490578/full |
| work_keys_str_mv | AT qianqianwang exploringtheevolutionofglobalbeeftradenetworkpatternsbasedoncomplexnetworkanalysis AT wangfangxu exploringtheevolutionofglobalbeeftradenetworkpatternsbasedoncomplexnetworkanalysis AT rongzhucheng exploringtheevolutionofglobalbeeftradenetworkpatternsbasedoncomplexnetworkanalysis |