Climate Change Data Portal
| DOI | 10.3390/su16103998 |
| A Dynamic Evolutionary Analysis of the Vulnerability of Global Food Trade Networks | |
| 发表日期 | 2024 |
| EISSN | 2071-1050 |
| 起始页码 | 16 |
| 结束页码 | 10 |
| 卷号 | 16期号:10 |
| 英文摘要 | The global food trade network (FTN) is a critical infrastructure for achieving the Sustainable Development Goals (SDGs). The FTN's vulnerability to geopolitical conflicts, public health crises, and climate change events directly impacts food security and the ability to meet the SDGs. This study aims to analyze the dynamic evolution of the vulnerability of FTN, focusing on the period from 2000 to 2022, to aim for strategies for enhancing the resilience and sustainability of the global food system. Based on complex network analysis, we examine the structural characteristics and evolution of FTN for four major crops: soybeans, wheat, rice, and maize. We identify a trend towards increased network density and regionalization, with a decline in average shortest path length (ASPL) and an increase in the average clustering coefficient (ACC). These changes indicate a shift towards a more interconnected and resilient FTN in response to various shocks, including the COVID-19 pandemic and the Russia-Ukraine conflict. The findings suggest that the global FTN has adapted to increase resilience, which is essential for achieving the SDGs related to food security and sustainable development. The study's insights can guide policy interventions to further strengthen the network against future shocks and promote global food security. |
| 英文关键词 | global food trade network; sustainable development goals; network vulnerability; complex network theory; food security |
| 语种 | 英语 |
| WOS研究方向 | Science & Technology - Other Topics ; Environmental Sciences & Ecology |
| WOS类目 | Green & Sustainable Science & Technology ; Environmental Sciences ; Environmental Studies |
| WOS记录号 | WOS:001233219700001 |
| 来源期刊 | SUSTAINABILITY
 |
| 文献类型 | 期刊论文 |
| 条目标识符 | http://gcip.llas.ac.cn/handle/2XKMVOVA/295568 |
| 作者单位 | Renmin University of China; Yunnan Academy of Agricultural Sciences; Renmin University of China |
| 推荐引用方式 GB/T 7714 | . A Dynamic Evolutionary Analysis of the Vulnerability of Global Food Trade Networks[J],2024,16(10). |
| APA | (2024).A Dynamic Evolutionary Analysis of the Vulnerability of Global Food Trade Networks.SUSTAINABILITY,16(10). |
| MLA | "A Dynamic Evolutionary Analysis of the Vulnerability of Global Food Trade Networks".SUSTAINABILITY 16.10(2024). |
| 条目包含的文件 | 条目无相关文件。 | |||||
| 个性服务 |
| 推荐该条目 |
| 保存到收藏夹 |
| 导出为Endnote文件 |
| 谷歌学术 |
| 谷歌学术中相似的文章 |
| 百度学术 |
| 百度学术中相似的文章 |
| 必应学术 |
| 必应学术中相似的文章 |
| 相关权益政策 |
| 暂无数据 |
| 收藏/分享 |
除非特别说明，本系统中所有内容都受版权保护，并保留所有权利。
