Friendshoring in global food supply chains
将食品贸易建模为网络图，研究气候变化、新冠疫情和国际冲突等冲击对食品供应链结构、流动和演变的影响，发现中国、俄罗斯和美国等国的网络中心度发生显著变化。
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.