Study on the Pricing of Crop Income Insurance —A Case Study of Maize in Guizhou Province
Ye Feng, Jianhua Zhu
Available Online October 2018.
- https://doi.org/10.2991/icpel-18.2018.13How to use a DOI?
- Income insurance, Kernel function, Copula model, Monte Carlo, Linear sliding average method,
- Agricultural income insurance can simultaneously disperse the natural and market risks faced by farmers in the production process and stabilize farmers' expected income. However, the research on agricultural income insurance in Guizhou Province is still in the preliminary exploration stage, and the research on the formulation and implementation of the core program of crop income insurance pricing is weak. This paper focuses on the pricing methods of crop income insurance in Guizhou Province, and provides a strong guarantee for the healthy and sustainable development of agricultural income insurance. In this paper, the corn in Guizhou Province is taken as an example. First, the linear sliding average method is used to eliminate the trend term, and kernel function is used to estimate the distribution. Then use the Copula function to connect the two edge distributions, and finally calculate the premium based on the Monte Carlo simulation 10, 000 times. There is a weak negative correlation between the price risk of corn in Guizhou Province and the risk of yield, which results the income risk less than the sum of production risk and price risk.
- Open Access
- This is an open access article distributed under the CC BY-NC license.
Cite this article
TY - CONF AU - Ye Feng AU - Jianhua Zhu PY - 2018/10 DA - 2018/10 TI - Study on the Pricing of Crop Income Insurance —A Case Study of Maize in Guizhou Province BT - 2018 3rd International Conference on Politics, Economics and Law (ICPEL 2018) PB - Atlantis Press SN - 2352-5398 UR - https://doi.org/10.2991/icpel-18.2018.13 DO - https://doi.org/10.2991/icpel-18.2018.13 ID - Feng2018/10 ER -