Crop revenue insurance is a new trend in the development of agricultural insurance. Since crop revenue insurance can avoid natural risks and price risks to ensure the stability of farmers’ income, it has become increasingly popular abroad recently. Due to the negative correlation between output and price, this article based on the yield and price changes of Taiwanese sugar apple revenue insurance, uses the copula joint probability density function to determine the insurance premium rates at different revenue-base and degree of protection, and compares with the empirical results of historical simulation method. It is expected that findings of this article would improve the design of Taiwanese sugar apple revenue insurance, and provide the actuarial meaning of rate determination. The estimated result shows that the higher the degree of protection, the higher the insurance rate. In terms of 100% protection, the pure premium rate of each region is between 2.22% and 8.12%. Based on different revenue-base, the premium per hectare is 25,303 NT dollar to 95,463 NT dollar. The result of the copula method insurance premium rate determination is further compared with the current actual premium estimated by the historical simulation method. Because the limited yield and price data of the historical simulation method may not reflect the true probability and magnitude of loss, the premiums in high-risk areas are underestimated and low-risk areas have the problem of overestimating premiums, which may not necessarily ensure financial balance.
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