Comparison Between Centrality Measures for a Network Based on Cascading Nature of Nodes

2023

The United States and China are key nations in global agricultural and food trade. They share a complex bilateral agri-food trade network in which disruptions could have a global ripple effect. Yet, we do not understand the spatially resolved connections in the bilateral US-China agri-food trade. In this study, we estimate the bilateral agri-food trade between Chinese provinces and U.S. states and counties. First, we estimate bilateral imports and exports of agri-food commodities for provinces and states. Second, we model link-level connections between provinces and states/counties. To do this, we develop a novel algorithm that integrates a variety of national and international databases for the year 2017, including trade data from the US Census Bureau, the US Freight Analysis Framework database, and Multi-Regional Input-Output tables for China. We then adapt the Food Flow Model for inter-county agri-food movements within the US to estimate bilateral trade through port counties. We estimate 15,469 and 713,806 link-level connections at the state-province and county-province resolution, respectively, and identify core nodes in the bilateral agri-food trade network. Our results provide a spatially detailed mapping of the US-China bilateral agri-food trade, which may enable future research and inform decision-makers.

Section: Core Nodes In Us-china Agri-food Trade Networkmentioning

confidence: 99%

Spatially detailed agricultural and food trade between China and the United States

Pandit

2023

A complex network framework for the efficiency and resilience trade-off in global food trade

2021

Global food trade is crucial for food security and availability. Trade is typically optimized to promote efficiency, whereas resilience is increasingly being recognized as another important objective. However, it is not clear if prioritizing resilience comes at the expense of efficiency or if the two objectives can be promoted simultaneously. We develop a complex network framework to assess the relationship between efficiency and resilience of food trade for the last half century. There is a competitive relationship between efficiency and resilience when only network topology is considered. However, a cooperative relationship between efficiency and resilience exists when the intensity of trade connections is accounted for. Policy makers can use this framework to evaluate the relationship between efficiency and resilience in critical supply chains.

Food flows between counties in the United States from 2007 to 2017

Wang

2022

Food supply chains are essential for distributing goods from production to consumption points. These complex supply chains are important for food security and availability. Recent research has developed novel methods to estimate food flows with high spatial resolution, but we do not currently understand how fine-grained food supply chains vary in time. In this study, we develop a time-series analysis of food flows between the counties in the United States. We use the Food Flow Model to estimate food flows [kg] for all county pairs across all food commodity groups (70 million links) for the years 2007, 2012, and 2017. We then determine the core nodes to the US food flow network by a multi-criteria decision analysis technique. Our estimates of county-to-county food flows are freely available with this paper and could be useful for future research, policy, and decision-making.