Abstract
Effective risk control strategies require reliable risk assessment models to provide support. In recent years, the risk of extreme weather events has increased due to climate change. However, existing assessment models are not essentially used to explore short-term drastic changes in the environment, such as extreme heat or cold. Therefore, we proposed a climate-food risk assessment system that could detect drastic changes, such as extreme weather events and price fluctuations, in a timely and thorough manner. On the one hand, spikes were detected in the climate system. On the other hand, change points were detected in the food system. Finally, an innovative integrated analysis algorithm is carried out to obtain the ranking of highly impacted foods. Across all food supply chains, we found that sugar, bread and grains, and wine in grapes are most closely related to extreme weather events. This discovery needs to be treated with caution. To initiate a feasible control strategy for climate risk, a concrete policy implication was discussed in detail. If properly organized and supervised, the extreme weather agricultural insurance can become a transformative mechanism toward climate resilience.
Published Version
Talk to us
Join us for a 30 min session where you can share your feedback and ask us any queries you have
Schedule a call