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Crop Insurance Prediction Using R for Pradhan Mantri Fasal Bima Yojana in TamilNadu

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  • D. Hebsiba Beula

    (B. S. Abdur Rahman Crescent Institute of Science and Technology, India)

  • S. Srinivasan

    (B. S. Abdur Rahman Crescent Institute of Science and Technology, India)

  • C. D. Nanda Kumar

    (B. S. Abdur Rahman Crescent Institute of Science and Technology, India)

Abstract

Agriculture is the primary source of livelihood for farmers in many underdeveloped regions, so due to climate change or other risks, crop insurance is thought to be essential, but the research question answered in the current study pertains to insurance program performance. The government-administered crop insurance program was analysed using a mixed methods design. A multiple case study was conducted in the TamilNadu region (India) to analyse the program, identify the causal factors, and collect relevant claim secondary data. Then the R statistical program was applied to analyse crop performance by developing a linear model of crop actual yields versus threshold yields (rabi, paddy, and kharif) using claim payments as the dependent variable. R statistical regression model programming was explained in detail. Recommendations were provided to economic decision makers on how to enhance agricultural insurance and rural development.

Suggested Citation

  • D. Hebsiba Beula & S. Srinivasan & C. D. Nanda Kumar, 2021. "Crop Insurance Prediction Using R for Pradhan Mantri Fasal Bima Yojana in TamilNadu," International Journal of Risk and Contingency Management (IJRCM), IGI Global, vol. 10(4), pages 46-57, October.
    • Handle: RePEc:igg:jrcm00:v:10:y:2021:i:4:p:46-57
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