Abstract
In this paper, we determined the factors that affect the waiting time of rice farmers’ willingness to pay the premium for the Rice Farming Insurance Program (RFIP) using survival analysis. The survival analysis method was carried out using the Cox proportional hazard model with the Efron approach. The case study in this research is rice farmers in Cibungur Village, Parungponteng District, Tasikmalaya Regency. The results of the analysis show that the predictor variables that are significant to the waiting time of rice farmers’ willingness to pay the insurance premium for RFIP are their last education, other occupations, rice production, and farming costs. The results of the research are expected to produce additional information for the government and implementers of rice farming insurance regarding the condition of farmers in the field, so that it can be improved in the future.
Funder
Kementerian Pendidikan, Kebudayaan, Riset, dan Teknologi, Republik Indonesia
Subject
General Mathematics,Engineering (miscellaneous),Computer Science (miscellaneous)
Reference49 articles.
1. Factors affecting weather index-based crop insurance in Laikipia County, Kenya;Wairimu;J. Agric. Ext. Rural. Dev.,2016
2. Crop insurance policies and purchases in France;Enjolras;Agric. Econ.,2011
3. Can Farm Households Improve Food and Nutrition Security through Adoption of Climate-smart Practices? Empirical Evidence from Northern Ghana;Issahaku;Appl. Econ. Perspect. Policy,2020
4. Sustainable land management practices and technical and environmental efficiency among smallholder farmers in Ghana;Issahaku;J. Agric. Appl. Econ.,2020
5. Control Agents of Environmentally Friendly Plant Disordering Organisms (Opt) Used Vegetable Farmers in Tomohon City;Enus;J. Agroekoteknol. Terap.,2022
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