TY - JOUR
T1 - Spatially detailed agricultural and food trade between China and the United States
AU - Pandit, Akshay
AU - Karakoc, Deniz Berfin
AU - Konar, Megan
N1 - This material is based upon work supported by the National Science Foundation Grant No. CBET-1844773 (‘CAREER: A National Strategy for a Resilient Food Supply Chain’) and CBET-2115405 (‘SRS RN: Multiscale RECIPES (Resilient, Equitable, and Circular Innovations with Partnership and Education Synergies) for Sustainable Food Systems’). This work was also supported by The MITRE Corporation Grant: ‘U.S.-China bilateral food supply chain analysis’. Any opinions, findings, and conclusions or recommendations expressed in this material are those of the author(s) and do not necessarily reflect the views of the National Science Foundation or The MITRE Corporation. We would also like to gratefully acknowledge the publicly available datasets that enabled this work provided in table .
PY - 2023/8/1
Y1 - 2023/8/1
N2 - 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 2,954 and 162,922 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.
AB - 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 2,954 and 162,922 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.
KW - China
KW - United States
KW - agriculture
KW - food
KW - high-resolution
KW - networks
KW - trade
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U2 - 10.1088/1748-9326/ace72c
DO - 10.1088/1748-9326/ace72c
M3 - Article
AN - SCOPUS:85167873107
SN - 1748-9326
VL - 18
JO - Environmental Research Letters
JF - Environmental Research Letters
IS - 8
M1 - 084031
ER -