全球食品供应链中的友谊互助

IF 3.3 2区经济学 Q2 AGRICULTURAL ECONOMICS & POLICY

European Review of Agricultural Economics Pub Date : 2025-01-03 DOI:10.1093/erae/jbae031

Savin Khadka, Munisamy Gopinath, Feras A Batarseh

{"title":"全球食品供应链中的友谊互助","authors":"Savin Khadka, Munisamy Gopinath, Feras A Batarseh","doi":"10.1093/erae/jbae031","DOIUrl":null,"url":null,"abstract":"In the last decade, climate change, Covid-19, and several international conflicts have created significant disruptions to global and regional supply chains, leading to a re-evaluation of the benefits of globalisation. Modelling food trade as network graphs, this study spotlights the effects of these shocks, on the structure, flow and evolution of food supply chains. Network centrality measures show substantial changes in the influence exerted by China, Russia, and the United States, among others. Using machine learning, community detection and global metrics such as clustering further detail the structural changes in the trade network. Differences between systemic and idiosyncratic shocks are also discussed.","PeriodicalId":50476,"journal":{"name":"European Review of Agricultural Economics","volume":"1 1","pages":""},"PeriodicalIF":3.3000,"publicationDate":"2025-01-03","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":"{\"title\":\"Friendshoring in global food supply chains\",\"authors\":\"Savin Khadka, Munisamy Gopinath, Feras A Batarseh\",\"doi\":\"10.1093/erae/jbae031\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"In the last decade, climate change, Covid-19, and several international conflicts have created significant disruptions to global and regional supply chains, leading to a re-evaluation of the benefits of globalisation. Modelling food trade as network graphs, this study spotlights the effects of these shocks, on the structure, flow and evolution of food supply chains. Network centrality measures show substantial changes in the influence exerted by China, Russia, and the United States, among others. Using machine learning, community detection and global metrics such as clustering further detail the structural changes in the trade network. Differences between systemic and idiosyncratic shocks are also discussed.\",\"PeriodicalId\":50476,\"journal\":{\"name\":\"European Review of Agricultural Economics\",\"volume\":\"1 1\",\"pages\":\"\"},\"PeriodicalIF\":3.3000,\"publicationDate\":\"2025-01-03\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"European Review of Agricultural Economics\",\"FirstCategoryId\":\"96\",\"ListUrlMain\":\"https://doi.org/10.1093/erae/jbae031\",\"RegionNum\":2,\"RegionCategory\":\"经济学\",\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"Q2\",\"JCRName\":\"AGRICULTURAL ECONOMICS & POLICY\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"European Review of Agricultural Economics","FirstCategoryId":"96","ListUrlMain":"https://doi.org/10.1093/erae/jbae031","RegionNum":2,"RegionCategory":"经济学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q2","JCRName":"AGRICULTURAL ECONOMICS & POLICY","Score":null,"Total":0}

引用次数: 0

摘要

在过去十年中，气候变化、2019冠状病毒病和几次国际冲突对全球和区域供应链造成了严重破坏，导致人们重新评估全球化的好处。本研究将食品贸易建模为网络图，重点关注这些冲击对食品供应链结构、流动和演变的影响。网络中心性测量显示，中国、俄罗斯和美国等国施加的影响发生了实质性变化。使用机器学习、社区检测和全局指标（如聚类）进一步详细说明贸易网络中的结构变化。本文还讨论了系统性冲击和特殊冲击之间的差异。

本文章由计算机程序翻译，如有差异，请以英文原文为准。

查看原文本刊更多论文

Friendshoring in global food supply chains

In the last decade, climate change, Covid-19, and several international conflicts have created significant disruptions to global and regional supply chains, leading to a re-evaluation of the benefits of globalisation. Modelling food trade as network graphs, this study spotlights the effects of these shocks, on the structure, flow and evolution of food supply chains. Network centrality measures show substantial changes in the influence exerted by China, Russia, and the United States, among others. Using machine learning, community detection and global metrics such as clustering further detail the structural changes in the trade network. Differences between systemic and idiosyncratic shocks are also discussed.

求助全文

通过发布文献求助，成功后即可免费获取论文全文。去求助

来源期刊

European Review of Agricultural Economics 管理科学-农业经济与政策

CiteScore

6.60

自引率

5.90%

发文量

审稿时长

>24 weeks

期刊介绍： The European Review of Agricultural Economics serves as a forum for innovative theoretical and applied agricultural economics research. The ERAE strives for balanced coverage of economic issues within the broad subject matter of agricultural and food production, consumption and trade, rural development, and resource use and conservation. Topics of specific interest include multiple roles of agriculture; trade and development; industrial organisation of the food sector; institutional dynamics; consumer behaviour; sustainable resource use; bioenergy; agricultural, agri-environmental and rural policy; specific European issues. Methodological articles are welcome. All published papers are at least double peer reviewed and must show originality and innovation. The ERAE also publishes book reviews.