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Designing weather index insurance of crops for the increased satisfaction of farmers, industry and the government

Author: Shirsath, P.B.
Author: Vyas, S.
Author: Aggarwal, P.K.
Author: Rao, K.N.
Year: 2019
ISSN: 2212-0963 (Print)
URI: https://hdl.handle.net/10883/20717
Format: PDF
Language: English
Publisher: Elsevier
Copyright: CIMMYT manages Intellectual Assets as International Public Goods. The user is free to download, print, store and share this work. In case you want to translate or create any other derivative work and share or distribute such translation/derivative work, please contact CIMMYT-Knowledge-Center@cgiar.org indicating the work you want to use and the kind of use you intend; CIMMYT will contact you with the suitable license for that purpose.
Type: Article
Place of Publication: Netherlands
Issue: art. 100189
Volume: 25
DOI: 10.1016/j.crm.2019.100189
Description: Weather-based crop insurance is a powerful tool for stabilizing farmers’ income by providing timely payouts directly linked with weather parameters. However, its performance can be marred by faulty design, leading to high basis risk and insufficient payouts. This paper presents a new methodology for contract design for weather-based insurance, field tested in India. By combining agro-meteorological statistical analysis, crop growth modelling and optimization techniques, a heuristic model is developed which generates superior contract design which yields better and frequent payouts at no extra cost of subsidies (in terms of premium rates). The study also presents ‘Farmer Satisfaction Index’ as a powerful evaluation tool in determining the effectiveness of insurance products through measurement of basis risk. The method is backed by results from implementing the proposed model in many districts of Maharashtra, India. The proposed contract performed better than the existing insurance contract with 50 and 72 percent increase in Farmers Satisfaction Index for Soybean and Pearl Millet, while increasing correlation of payouts with yield losses and reducing the overall loss-cost ratio. Selected triggers effectively captured climatic risks in important crop growth phases. These results were consistent for pay-outs evaluated for long-term time series of 100 years of synthetic climate data. Findings indicate the use of recommended approach can lead to increased satisfaction of farmers, insurers and policymakers alike.
Country of Focus: INDIA
Agrovoc: CROP INSURANCE
Agrovoc: RISK
Agrovoc: WEATHER
Related Datasets: https://ars.els-cdn.com/content/image/1-s2.0-S2212096318300998-mmc1.docx
Related Datasets: https://ars.els-cdn.com/content/image/1-s2.0-S2212096318300998-mmc2.xml
Journal: Climate Risk Management


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  • Socioeconomics
    Including topics such as farming systems, markets, impact & targeting, innovations, and GIS

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