1- Sari University of Agricultural Sciences and Natural Resources
Abstract: (54 Views)
Introduction and purpose: Agriculture is an activity with various risks, including production, market and financial risks. Farmers use various programs to minimize the risks of their activities. The purpose of this study is to identify the factors influencing the acceptance of agricultural products insurance using artificial neural network modeling.
Materials and methods: Data collection was done based on field and library data. Field information was collected by completing a questionnaire in September 2021. Questionnaires were randomly distributed among 200 farmers and gardeners of Sari city. In order to conduct the research, artificial neural network modeling and independent variables of farm size, agricultural experience, The status of insurance of agricultural products in the last three years, the decision to use insurance in the next year, and the dependent variable of farmers' satisfaction with the provision of agricultural product insurance services were used.
Findings: The analysis of the obtained results showed that, in order of importance, The status of insurance of agricultural products in the last three years, the farm size, the agricultural experience, the decision to use insurance in the next year, are effective on the satisfaction of farmers with the provision of agricultural products insurance services. Also, the normalized importance coefficient of the relative relationship and the predictive power of each variable showed that the status of insurance of agricultural products in the last three years with 100% and the decision to use insurance in the next year with 73.9% are the highest and lowest power respectively in predicting farmers' satisfaction with the provision of agricultural product insurance services.
Conclusion: The results of the study showed that the effective factors for the decision of farmers to use agricultural product insurance services, in order of influence are the status of insurance of agricultural products in the last three years, farm size, agricultural experience and the decision to use insurance in the next year.
Materials and methods: Data collection was done based on field and library data. Field information was collected by completing a questionnaire in September 2021. Questionnaires were randomly distributed among 200 farmers and gardeners of Sari city. In order to conduct the research, artificial neural network modeling and independent variables of farm size, agricultural experience, The status of insurance of agricultural products in the last three years, the decision to use insurance in the next year, and the dependent variable of farmers' satisfaction with the provision of agricultural product insurance services were used.
Findings: The analysis of the obtained results showed that, in order of importance, The status of insurance of agricultural products in the last three years, the farm size, the agricultural experience, the decision to use insurance in the next year, are effective on the satisfaction of farmers with the provision of agricultural products insurance services. Also, the normalized importance coefficient of the relative relationship and the predictive power of each variable showed that the status of insurance of agricultural products in the last three years with 100% and the decision to use insurance in the next year with 73.9% are the highest and lowest power respectively in predicting farmers' satisfaction with the provision of agricultural product insurance services.
Conclusion: The results of the study showed that the effective factors for the decision of farmers to use agricultural product insurance services, in order of influence are the status of insurance of agricultural products in the last three years, farm size, agricultural experience and the decision to use insurance in the next year.
Type of Study: Research |
Received: 2023/08/28 | Accepted: 2023/10/4
Received: 2023/08/28 | Accepted: 2023/10/4
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