Risk and Resilience Dataset of Soybean Global Supply Chain to China（2000-2020）
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DOI:10.3974/geodb.2025.01.02.V1
Published:Jan. 2025
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Key Words：
global supply chain,imported soybeans,risk assessment,resilience measurement,
Abstract：
The authors constructed a global supply chain analysis framework encompassing four stages—supply, procurement, transportation, and demand—and three key segments: exporters, logistics and transportation departments, and importers. The two-stage DEA (Data Envelopment Analysis) and CoDEA (Coherent Data Envelopment Analysis) models were used to assess the global supply chain risks and resilience of soybean, a typical import-dependent agricultural product in China, integrated with the data from FAOSTAT, UNComtrade, and TRADING ECONOMICS, etc. The dataset includes: (1) actual values of risk indicators for each stage of China's global soybean supply chain from 2000 to 2020 (Table 1 to Table 3); (2) the overall risk levels and processing data of China's global soybean supply chain during the same period (Table 4 to Table 8); (3) changes in the global supply chain structure and resilience levels of soybeans before and after the pandemic (Table 9 to Table 11). The dataset is archived in .xlsx format, and consists of one data file with data size of 77.8 KB. The research findings based on the dataset were published at Acta Geographica Sinica, Vol.79, No.10, 2024.
Foundation Item：
National Natural Science Foundation of China (72073129); Chinese Academy of Agricultural Sciences (CAAS-CSAERD-202402, 10-IAED-04-2024, 10-IAED-RC-11-2024)
Data Citation：
1. Risk and Resilience Dataset of Soybean Global Supply Chain to China（2000-2020）[J/DB/OL]. Digital Journal of Global Change Data Repository, 2025. https://doi.org/10.3974/geodb.2025.01.02.V1.
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