Crop planting insurance method

Abstract

The invention relates to a crop planting insurance method. The insurance method comprises the steps as follows: 1) determining crops, risk factors, market prices of the crops and average yields per unit of the crops; 2) determining risk factor thresholds triggering loss of the crops; 3) building probability density distribution of the risk factors; 4) obtaining an expected compensation amount per unit d according to a crop price a, a crop average yield per unit b and a compensation discount rate c; 5) determining an insurance quote per unit area F and compensation triggering conditions according to a probability density p, the expected compensation amount per unit d and an insurance company expected gross margin R; 6) when the risk factors meet the triggering conditions, insurance companies pay insurance money to eligible insurant accounts to complete settlement of claims. The insurance method has the benefits as follows: 1, manual loss assessment is not required, and operating costs of insurance products are reduced; 2, settlement of claims can be performed automatically, and manual intervention and moral hazards are avoided, so that the settlement of claims is more rapid and reasonable.

Description

technical field [0001] The invention belongs to the field of insurance products, in particular to a crop planting insurance method. Background technique [0002] The existing crop planting insurance methods are mainly based on the traditional actuarial theory, that is, the insurance premiums and compensations are actuarially calculated based on the statistical data of losses of various crops (insured objects) in the past. [0003] The existing crop planting insurance claims process is that after the loss occurs, the policyholder submits an application, and the insurance agency sends a representative to investigate, and try to use direct (calculate the value of the insured due to the risk of loss of function) or indirect method (Assuming that the value-added of the insured is terminated due to loss, the economic income obtained from selling the insured in the future) determines the amount of loss. Based on the amount of loss, the insurance agency will compensate the policyho...

AI Technical Summary

Problems solved by technology

[0008] 3. In most cases, manual on-site inspection of damage can accurately assess the degree of damage

[0010] 1. After a disaster occurs, the insurance company needs to go to the planting site for manual survey to determine the loss, which is time-consuming and laborious;

[0011] 2. Insurance companies have to manually investigate losses, which introduces moral hazard and human factors, increasing the risk of unreasonable claims and affecting the reputation of insurance companies;

When a disaster occurs, the impact area is very wide. When determining the damage, it is necessary to manually investigate one by one on the spot, evaluate the degree of damage (predict the loss) and measure the loss area. When a disaster occurs, it is necessary to obtain the degree of loss and the area of ​​the insured area in a short time, which creates a huge contradiction with the limited human resources of the insurance company. The process of claim settlement (loss assessment + claim settlement) often takes one to two months, sometimes even longer

Not only consumes a lot of resources (manpower, material resources, financial resources), but also has low efficiency

Existing crop cultivation insurance methods are not only difficult to implement in some cases, but also time-consuming

[0013] Therefore, it is necessary for us to design a new insurance method to solve the problem that the existing crop cultivation insurance method is not easy to implement and takes a long time