Agricultural risk modeling challenges in China : probabilistic modeling of rice losses in Hunan province

• Main Authors: Stojanovski, Pane, Dong, Weimin, Wang, Ming, Ye, Tao, Li, Shuangcai, Mortgat, Christian P.
• Other Authors: Institute of Catastrophe Risk Management
• Format: Article
• Language: English
• Published: 2018
• Subjects: Catastrophe Risk; Agricultural Risk Modeling; DRNTU::Science::Mathematics
• Online Access: https://hdl.handle.net/10356/88681; http://hdl.handle.net/10220/45912
• Institution: Nanyang Technological University

This article summarizes a joint research project undertaken under the Risk Management Solutions, Inc. (RMS) banner to investigate some of the possible approaches for agricultural risk modeling in China. Two modeling approaches were investigated—the simulated weather crop index and the burn yield analysis approach. The study was limited to Hunan Province and a single crop—rice. Both modeling approaches were dealt with probabilistically and were able to produce probabilistic risk metrics. Illustrative model outputs are also presented. The article discusses the robustness of the modeling approaches and their dependence on the availability, access to, and quality of weather and yield data. We offer our perspective on the requirements for models and platforms for agricultural risk quantification in China in order to respond to the needs of all stakeholders in agricultural risk transfer.