Journal
MATHEMATICS
Volume 10, Issue 21, Pages -Publisher
MDPI
DOI: 10.3390/math10213935
Keywords
rice farming insurance; Cox proportional hazard model; survival analysis
Categories
Funding
- Kementerian Pendidikan, Kebudayaan, Riset, dan Teknologi, Republik Indonesia, via Universitas Padjadjaran through Penelitian Terapan [2064/UN6.3.1/PT.00/2022]
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The significant factors affecting the waiting time of rice farmers' willingness to pay the insurance premium for RFIP include their highest education level, other occupations, rice production, and farming costs.
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.
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