The Research Of The Influencing Factors Of China’s Weather Index Insurance Demand

In recent years, the weather index insurance as an innovative agricultural insurance has been highly valued in China. On March 1, 2013, "Agricultural Insurance Regulations" referred that the state supports the development of various forms of agricultural i nsurance, improve the policy agricultural insurance system. At the same time, ask for each department to establish information sharing mechanism of agricultural insurance. It will open information sharing mechanisms and resources for weather index insurance. Weather index insurance has the objective data sources and the insurance contract transparently, it can effectively solve the problem of moral hazard and adverse selection of traditional agricultural insurance. Thus cause the extensive concern of the society from all walks of life. More and more countries and regions began to develop weather index insurance. Therefore, to explore the impact of weather refers to the insurance needs of a number of factors are of practical significance.Demand is the fundamental problem of the development of weather index insurance, the product design of weather index insurance must reflect the expectations of the farmers. Weather index insurance can be smoothly carried out in our country, to find out the needs of the farmers is a prerequisite. Therefore, to explore the factors that affect demand for weather index insurance has practical significance. In the case of weather index insurance demand in China still lack of systematic research, Therefore, in this paper, guided by the demand theory, using comparative analysis, qualitative Analysis, quantitative analysis, Based on the field survey data in Heilongjiang province, the empirical study on the factors which influence the weather index insurance. At t he point of view of the demand of farmers, Firstly, this paper introduces the contents of the weather index insurance and related theoretical basis. Secondly, analyzed the rice planting weather index insurance in Anhui pilot.. Again, in the perspective of famers’ demand to analyze the applicability of the weather index insurance development in our country. Fourth, according to the characteristics of the farmers demand questionnaire design, get the field survey data of 700 farmers in 5 counties of Heilongjiang province, using logistic regression model, analyze the factors influencing farmer weather index insurance demand. The results show that, arable land, disaster and crop failures, farmers’ trust, the correlation between crop yield and weather events, farmers demand for insurance products price subsidies and demand the weather index were positively correlated, suffered from the types of risks and negatively correlated with the weather index insurance demand. Finally, according to the analysis, respectively for insurance companies and the government to put forward relevant countermeasures and suggestions. Insurance companies regard. First, strengthen publicity and education, correctly guide farmers’ cognition; the second is to improve the scientific products and enhance product support capabilities; third, the scientific design of weather index insurance products, and traditional agricultural insurance complementary; Fourth, improve disaster prevention security technology services, improve farmers trust. Government policy, first, actively cultivate farmer participatory mechanisms play a main role insured farmers, Second, the weather index insurance into the category of agricultural insurance policy, increase farmers purchase rate; third, increase the degree of agricultural organization, effective development of weather index insurance guarantee efficiency.In this paper, field research data in Heilongjiang province, to explore the factors of weather index insurance, in-depth understanding of the practical needs of farmers, provide an accurate basis for the formulation of insurance policy, give more consideration of farmers’ needs factors when we design product. Provide some reference for insurance contract, to make it more scientific and rational, more operational.