Supporting development of market for agricultural insurance
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Presentation by Sophia Belay at the Index Insurance for Agriculture in Ethiopia Workshop, Addis Ababa, Ethiopia, 9 December 2010
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1) Crop insurance schemes in India have evolved from rainfall insurance in the 1920s to current national schemes that use area-yield indexes or weather indexes.
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Rainfall insurance in India has failed to reduce risks in dryland farming for several reasons:
- Village-level rainfall data varied widely from reference station data from 2005-2013, meaning insurance payouts did not accurately reflect local conditions.
- Important crops grown by farmers were not covered by insurance policies.
- Compensation levels were less than 50% of losses, making insurance less attractive to farmers.
- The methodology for determining payouts lacked transparency.
- Poor farmers faced price and liquidity constraints in paying premiums.
- Lack of trust between farmers and insurance providers.
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Government run crop yield insurance scheme, procurement at minimum support prices and calamity relief funds are the major instruments being used to protect the Indian farmer from agricultural variability. However, crop insurance covers only about 10% of sown area and suffers from an adverse claims to premium. There are problems with both the design and delivery of crop insurance schemes. These problems could be overcome with rainfall insurance with a well developed rainfall measurement infrastructure. Private and public insurers are currently experimenting with rainfall insurance products. Given the current levels of yield and rainfall variability the actuarially fair premium rates are likely to be high and in many cases unattractive or unaffordable. Instead of adopting the easy and unsustainable route of large subsidies, in the long term the government should consider risk mitigation through improvements in the irrigation and water management infrastructure.
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1. The document discusses weather-based crop insurance and describes various risks faced by farmers like droughts and floods. It also discusses different formal and informal risk management strategies.
2. Formal insurance programs are described, including a weather index insurance product offered by ICICI Lombard and BASIX to insure farmers against deficient rainfall. The program divides the monsoon season into growth phases and provides payouts if rainfall is below a trigger level.
3. Challenges in developing weather index insurance are also outlined, such as basis risk. But the product is seen as well-suited for catastrophe risks with simple design and low costs.
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Crop insurance aims to mitigate financial losses suffered by farmers due to damage or destruction of crops from various risks like weather fluctuations. It provides insurance coverage and financial support to farmers in the event of failed crops. The objectives are to encourage progressive farming practices and stabilize farm incomes. Crop insurance can avoid losses from unpreventable causes like weather, pests, and market prices. It benefits farmers through increased repayment capacity and avoiding risk of non-payment. It also benefits banks and reduces government relief payments. Leading technology like the AIR Multi-peril Crop Loss Model provides a scientific approach for analyzing and pricing crop insurance programs.
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1) Crop insurance schemes in India have evolved from rainfall insurance in the 1920s to current national schemes that use area-yield indexes or weather indexes.
2) Yield-based schemes like NAIS insured large areas but had low claims ratios and farmer benefits. Weather index schemes have higher claims ratios but issues with basis risk remain.
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Rainfall insurance in India has failed to reduce risks in dryland farming for several reasons:
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Government run crop yield insurance scheme, procurement at minimum support prices and calamity relief funds are the major instruments being used to protect the Indian farmer from agricultural variability. However, crop insurance covers only about 10% of sown area and suffers from an adverse claims to premium. There are problems with both the design and delivery of crop insurance schemes. These problems could be overcome with rainfall insurance with a well developed rainfall measurement infrastructure. Private and public insurers are currently experimenting with rainfall insurance products. Given the current levels of yield and rainfall variability the actuarially fair premium rates are likely to be high and in many cases unattractive or unaffordable. Instead of adopting the easy and unsustainable route of large subsidies, in the long term the government should consider risk mitigation through improvements in the irrigation and water management infrastructure.
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3. Challenges in developing weather index insurance are also outlined, such as basis risk. But the product is seen as well-suited for catastrophe risks with simple design and low costs.
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Crop insurance plays a key role in managing agricultural risk. It allows farmers to pool unpredictable yield and revenue risks, making losses more predictable. The US has a unique public-private partnership where the government subsidizes premiums and offers reinsurance so farmers can afford coverage, and private companies deliver the program and service policies. Under this system, crop insurance has grown to provide billions of dollars in coverage and indemnities annually to US agriculture.
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This document provides an overview of crop insurance in India, including the evolution of different schemes. It discusses the risks faced by Indian farmers and different approaches to crop insurance. The major schemes discussed are the Pilot Crop Insurance Scheme from 1979-1984, the Comprehensive Crop Insurance Scheme from 1985-1999, the Experimental Crop Insurance Scheme in 1997-1998, and the National Agricultural Insurance Scheme implemented from 1999 to present. It provides details on the features and performance of each scheme. Key challenges identified include only covering loanee farmers, limited crop coverage, low sums insured, and high claim ratios under previous schemes.
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Rainfall Insurance in India: Does It Deal With Risks in Dryland Farming?
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This presentation summarizes Nyala Insurance's experience with the EPIICA weather index insurance pilot project in Ethiopia. The key points are:
1. The project aimed to provide insurance and credit to smallholder farmers using insurance as partial collateral. It covered over 6,000 farmers and insured over 600 hectares of crops across Amhara region from 2012-2015.
2. Claims were paid out in years with poor rainfall, particularly in Tewledere woreda in 2013. Over 180,000 ETB was paid in claims that year.
3. Challenges included delays in credit disbursement, competition from other lenders, limited capacity of delivery partners, and high initial premium rates
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1. The document summarizes Nyala Insurance's experience providing microinsurance in Ethiopia from 2007-2010, including multiperil crop insurance and weather index crop insurance.
2. It identifies lessons learned, such as lack of farmer awareness and affordability issues, insufficient insurer data and capacity, and a need for better coordination between stakeholders.
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Despite a limited uptake by smallholder farmers in Zimbabwe, agriculture insurance is considered an effective tool for risk management in agriculture. The study used the Logit regression model to determine the factors that influence the uptake of agricultural insurance by smallholder farmer households in Goromonzi district of Zimbabwe using a random sample of 187 maize contracted farmers. The determinants that were of statistical significant and positively influence the uptake of agricultural insurance were age of head of household, source of extension information coming from non-governmental organisation, and farmer receiving advice on agricultural insurance. On the other hand, the determinants that significantly and negatively influence uptake of agricultural insurance are number of extension visits per month by AGRITEX and other governments departments, number of extension visits by other farmers, total income of households in a year and number of years a household head is in a farmer group. Based on the findings it is clear that the Government of Zimbabwe is not being supportive of agricultural insurance, despite having the largest number of extension staff at smallholder farmer’s exposure. It is therefore recommended that the Government of Zimbabwe through the Ministry of Agriculture, Irrigation and Mechanisation must have a policy framework on agricultural insurance training and awareness at smallholder farmer level.
Selling weather index insurance to farmers in ethiopia lessons learned
Weather risk remains a major challenge for farmers in Ethiopia. Drought can significantly impact households' consumption levels and welfare. Index-based weather insurance offers possibilities to help farmers manage risk, but basis risk and lack of trust have limited demand. A study in Ethiopia tested selling insurance through informal risk-sharing groups called iddirs. Key lessons included the need to minimize basis risk, subsidize prices, build trust over time, and sell early in the growing season. Selling through groups helped increase sales by addressing some idiosyncratic basis risk. With smart subsidies and continued product improvements to reduce basis risk, index insurance could help vulnerable households if combined with other risk management strategies.
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PlaNet Guarantee is an insurance broker that develops innovative insurance products tailored to the needs of populations excluded from traditional insurance. It has developed index-based agricultural insurance programs in multiple countries in West Africa to protect farmers against risks from climate events. The programs use satellite data and weather station information to automatically payout claims indexed to measures like rainfall levels. This stabilizes farmers' incomes and the broader agriculture sector by securing access to credit, investment, and markets. Partnerships with local insurers, reinsurers, banks, microfinance institutions, and farmer cooperatives facilitate the distribution and management of the insurance programs. [/SUMMARY]
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1. The document discusses the importance of data for providing agricultural insurance to small-scale farmers in Africa. It outlines MicroEnsure's agriculture insurance programs in several African countries that insure crops using weather index and area yield methods.
2. Key stakeholders in collecting various types of data are identified, including farmer organizations, aggregators, governments, research bodies, meteorological agencies, and insurers. Farmer organizations and aggregators should provide crop data and feedback, while governments should facilitate databases and support the agriculture sector. Research bodies and meteorological agencies maintain weather and market data.
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A business approach to poverty reduction: CSA and index insurance - H. Great...
Presented in March 2015 at an international meetings in Montpellier, France, under the auspices of the CGIAR Research Program on Climate Change and Food Securtiy (CCAFS)
Issues of Food Security and Insurance
In between the obvious risks from crop failures and livestock epidemics, and food contamination at the retail level, are food security issues and risks that run through the entire food supply chain. Because there are so many interconnected threads in food security, it is important for insurers to have a grasp of the entire picture.
fr3t3tt343t
This document summarizes a study that assesses the performance of two major crop insurance schemes in Odisha, India: the National Agricultural Insurance Scheme (NAIS) and the Weather Based Crop Insurance Scheme (WBCIS). The study analyzes secondary data on coverage, financial performance, and operational efficiency of the schemes. It also uses primary survey data from 200 farmer households in two districts. The key findings are:
1) Coverage of crop insurance in Odisha has increased from 10-16% of cropped area from 2000-2012, but 84% remains uncovered. Coverage increased mainly due to more loanee farmers. Non-loanee farmer coverage declined over time under both schemes.
2) NA
Agricultural Insurance as a Tool for Adaptation to Climate Change in Mauritiu...
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Presentation at CTA Workshop on “Climate Change Solutions that Work for farmers”:
Agricultural Insurance as a Tool for Adaptation to Climate Change in Mauritius
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Bundling index insurance with other financial and non-financial services can help scale agricultural insurance. It provides incentives for farmers to purchase insurance and opportunities for other stakeholders. Index insurance has been successfully bundled with credit in places like Mali, increasing farmer investment and incomes. Insurers like ACRE bundle products with farmer groups, banks, and input suppliers. Appropriate services to bundle with include credit, seeds/fertilizers, and complementary insurance covers. Key considerations for effective bundling include pricing affordability, evaluating value for all stakeholders, and delivering bundled products that protect farmer incomes.Similar to Supporting development of market for agricultural insurance (20)
Index-insurance to protect pastoralists from drought shocks
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Implementing Index Insurance: Insurer's Perspective
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Ulrich Hess: Taking stock of index based agricultural insurance
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- 1. Supporting Development of Market for Agricultural Insurance Workshop on Index insurance for agriculture in Ethiopia 9 th December 2010, Addis Ababa
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- 15. THANK YOU!