Agriculture insurance acts like a stimulus package for the farmers to combat the risk of agriculture vagaries. National Agriculture Insurance Scheme (NAIS) is a way out for stimulating the farmer from the inadequate finance available to meet the hardships.
Objective: To look into the role of government to implement agriculture insurance scheme and to discuss the problem and prospect of national agriculture insurance scheme in state and in Jabalpur Division.
Methods: The analysis has been carried with Multiple regression analysis using SPSS, Farmers insured has been taken as dependent variable on independent parameters like area insured, farmers benefitted, claims received, premium, subsidy received, sum insured, through multiple regression analysis weight age was calculated for each parameter which effects the dependent parameters to maximum.
Findings: There are various parameters available on the basis of which the farmers’ adoption to this scheme depends. In the model the dependent variable is considered Farmers insured which is dependent upon area insured, sum insured, Premium subsidy, Claims received and Farmers benefitted. The paper helps in analyzing the extent to which these farmers taking insurance depends upon, for this multiple regression model using ordinary least square method has been adopted. The salient features of NAIS does not analyze that to which extent farmers insured is affected due to other various parameters and to what extent in different seasons. This has not been incorporated in designing the NAIS policy if such a system should be incorporated then agriculture insurance will be more adaptable.
Improvements: Farmers are very responsive towards gross premium, Government role should be more elaborated in providing proper subsidy to farmers for agriculture insurance and it should be framed according to seasons, delay in claim payments should be minimized, if all these policies will be properly implemented then agriculture insurance will be have effective impact.