Spatially detailed agricultural and food trade between China and the United States
Bibliographic Data
| ID | 15549110 |
|---|---|
| Authors | Akshay Pandit (0000-0001-6748-3594, University of Illinois Urbana-Champaign), Deniz Berfin Karakoc (University of Illinois Urbana-Champaign), Megan Konar (0000-0003-0540-8438, University of Illinois Urbana-Champaign, corresponding author) |
| Year | 2023 |
| Volume | 18 |
| Issue | 8 |
| Pages | 084031-084031 |
| Publication date | 2023-07-13 |
| Peer Reviewed | Yes |
| Open Access | Yes |
| Type | ARTICLE |
| Venue | Environmental Research Letters (JOURNAL) |
| Journal identifiers | ISSN: 1748-9326 • E-ISSN: 1748-9326 |
| Publisher | IOP Publishing (PUBLISHER • GB) |
| DOI | 10.1088/1748-9326/ace72c |
| OpenAlex | W4384154156 |
| Language | EN |
| Citations received | 1 |
| References cited | 37 |
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
Agricultural economics · Agriculture · Bilateral trade · Business · Census · China · Economics · Geography · International trade · Environmental Impact and Sustainability · Maritime Ports and Logistics · Urban and Freight Transport Logistics
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| Unique citing works | 1 |
|---|---|
| Citations per year | 1 |
| Citation span | 2026 - 2026 (1) |
| Citation velocity | current |
| Highly cited | No |
| Citation types | Neutral: 1 |