Risk and Resilience Dataset of Soybean Global Supply Chain to China（2000-2020）
LU Yujia1,2CHEN Yangfen*2WU Zhenlei1
1 School of Economics and Management，Northwest University，Xi'an 710127，China2 Institute of Agricultural Economics and Development，Chinese Academy of Agricultural Sciences，Beijing 100081，China
DOI:10.3974/geodb.2025.01.02.V1
Published:Jan. 2025
Visitors：1260 Data Files Downloaded：21
Data Downloaded：1.60 MB Citations：
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：
LU Yujia, CHEN Yangfen*, WU Zhenlei. 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.
References：
[1] Zhang, H. Y., Ji, Q., Fan, Y. An evaluation framework for oil import security based on the supply chain with a case study focused on China [J]. Energy Economics, 2013, 38: 87-95.
[2] Zhou, P., Ang, B. W., Poh, K. L. Comparing aggregating methods for constructing the composite environmental index: An objective measure [J]. Ecological economics, 2006, 59(3): 305-311.
[3] Hatefi, S. M., Torabi, S. A. A common weight MCDA-DEA approach to construct composite indicators [J]. Ecological economics, 2010, 70(1): 114-120.
[4] Zhang, W., Tuo, J. Y., Wang, N. H., et al. Research on resilience assessment and risk transmission in international trade supply chains: International perspective based on major contingency shocks [J]. South China Journal of Economics, 2024(3): 56-75.
[5] Jomthanachai, S., Wong, W. P., Soh, K. L., et al. A global trade supply chain vulnerability in COVID-19 pandemic: An assessment metric of risk and resilience-based efficiency of CoDEA method [J]. Research in Transportation Economics, 2022, 93: 101166.
[6] Li, K. W., Zhan, K. Analysis and evaluation of China’s industrial chain and supply chain security: Measurement index based on CoDEA method [J]. Economist, 2023, 10: 76-87.
Data Product:
| ID |
Data Name |
Data Size |
Operation |
| 1 |
SoybeanGlobalSupplyChain_2000-2020.xlsx |
77.87KB |
|