Yangmei Meteorological Index Insurance Design

Agricultural meteorological index insurance refers to the indexing of the impact of one or more climatic conditions on crop yields,and the formation of crop meteorological disaster loss index.These meteorological indicators are based on meteorological historical data,and each meteorological index corresponds to crop yield and The amount of loss,the insurance company will use the weather index as the basis for its claims.The picking period of bayberry coincides with the southern plum rain season.The precipitation is high and the temperature is high,which leads to a significant drop in the yield of bayberry,and the bayberry growers have a large economic loss.To this end,PICC Ningbo Branch launched a pilot project of Yangmei Meteorological Index Insurance in Yuyao,and achieved some results,but at the same time there are also shortcomings,which are highlighted in the fact that the basis risk is more serious and the farmers are less motivated.This article is to optimize the Yangmei Meteorological Index Insurance on the basis of the pilot(mainly in product design).Firstly,this paper elaborates on the domestic development of agricultural meteorological index insurance,and introduces the development of foreign agricultural meteorological index insurance in four countries ofUnited States,Canada,Japan,India,and analyzes the foreign agricultural meteorological index.The development of insurance for China's reference role is to strengthen government support,increase the innovation of meteorological index insurance,establish a Meteorological Disaster Loss Sharing Mechanism,actively develop the combination of insurance and credit,and establish a special weather index insurance.The company briefly introduced the basic situation of the Yuyao Yangmei Meteorological Index Insurance,briefly described the pilot underwriting situation and the pilot claims;analyzed the problems in the pilot from the government,insurance companies and farmers,the government mainly It is a problem that the propaganda is not in place.The insurance company mainly does not consider the insurance demand of different farmer groups and the controversy of premiums.The farmers mainly have the problem of poor enthusiasm for participation.The disaster loss model of the current pilot meteorological index insurance has limited the level of product design because it only studies the influence of a meteorological factor on production.This is the logical starting point of the empirical part of the article.Secondly,through field visits and related literatures,this paper makes a qualitative analysis of the meteorological disasters faced by the bayberry picking period,and believes that heavy rainfall,high winds and high temperatures will lead to loss of yield of bayberry;introducing multiple meteorological variables,which is more comprehensive The meteorological conditions affecting the yield of Chinese bayberry are more suitable for the actual situation.The quantitative relationship between these meteorological variables and the yield of Chinese bayberry is determined by multiple regression analysis.The influence of these meteorological variables on the yield of Chinese bayberry is attempted and the model is tested.The meteorological index for constructing multiple meteorological variables is divided into five levels according to the precipitation interval,namely,no precipitation disaster,first-order precipitation disaster,secondary precipitation disaster,tertiary precipitation disaster,and fourth-grade precipitation disaster;The disaster level is divided into three levels according to the temperature range,namely,no high temperature disaster,first level high temperature disaster,and second level high temperature disaster;the strong wind disaster level is divided into four levels according to the wind speed interval,namely no strong wind disaster,first strong wind disaster,two Level strong wind disaster,third-class strong wind disaster;use moving average method to fit trend Quantity,determine meteorological production,define and calculate loss rate;use loss rate as explained variable,based on precipitation disaster index,high temperature disaster index,strong wind disaster index,establish Win1,Win2,Win3,Tem1,Tem2,Pre1,Pre2 Pre9 and Pre4 are nine explanatory variables,each of which represents a meteorological index.The loss rate-meteorological index model is constructed by multiple regression,and the rationality of the model is tested.This part is the focus of the full text.Finally,according to the loss rate-meteorological index model and the actual research situation,this paper uses the empirical rate method to determine the insurance premium rate,design the pay scheme of the Yangmei meteorological index insurance,formulate the compensation scale,and the rationality of the compensation scale.Carry out inspections;summarize the full text,and propose the development of Yangmei weather index insurance from the perspectives of government,insurance companies and farmers.The government needs to strengthen the propaganda of meteorological index insurance and innovate the form of government subsidies.Insurance companies need to develop diversified products according to different farmer groups and flexibly formulate insurance rates.Farmers need to actively respond to government calls to enhance their insurance awareness.