Abstract:The honeysuckle yield data and meteorological data in Pingyi, Linyi from 1998 to 2024 are used to construct a model for precipitation suitability-yield reduction rate of honeysuckle with precipitation suitability as the meteorological index. Based on the goodness-of-fit test method, the probability and grade of yield reduction rate are determined, and then the pure premium rate for honeysuckle insurance is determined. The results are shown below. (1) Due to the interannual differences in meteorological conditions, the meteorological yield of honeysuckle in Pingyi fluctuates greatly from 2001 to 2024, and the annual yield reduction rate is 41.7%. (2) The best relationship between precipitation suitability and yield reduction rate of honeysuckle is reflected by a quadratic polynomial regression model. The smaller the precipitation suitability of honeysuckle, the greater the yield reduction rate of honeysuckle. When the precipitation suitability is 0, the yield reduction rate of honeysuckle reaches its maximum, namely 68.874%. (3) The pure premium rate for honeysuckle insurance in Pingyi is determined to be 4.01% by using the distribution model for yield reduction rate and the classical combustion analysis method, which could provide scientific basis for the design of agricultural insurance products.