crop insurance in india
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Presentation by P Joseph, Agriculture Insurance Company, on crop insurance in India at the CCAFS Workshop on Institutions and Policies to Scale out Climate Smart Agriculture held between 2-5 December 2013, in Colombo, Sri Lanka.TRANSCRIPT
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Crop Insurance in India
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The Agenda
Indian Agriculture & Risks
What’s Index Insurance?
Why Index Insurance?
Architecture of Indian Crop Insurance
Coverage: The Numbers
Index Insurance: Challenges
Weather Index: Recent Developments & Innovations
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Indian Agriculture at a Glance
• Nearly 120 million farm holdings
• About 145 million hectares of cultivated area (~
190mha of gross cropped area)
• Small farm holding size (average of 1.2 ha)
• >80% small / marginal farmers, 62% own <1 ha
• About 50% of area is under cereals and millets
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Indian Agriculture at a Glance
• 61% of Rural Households are Farming Households
• Provides 50% of the Employment
• Sustains 69% of Population
• Varied agricultural practices
• Predominantly Rain-fed Agriculture
• Large number of farmers produce for self consumption
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Rainfall Variability
Monsoons contribute 78% India’s annual rainfall
undergoes wide annual variations
Large variations in distribution (10 to 1000cm)
Disparity in the rainfall distribution is huge – leads to
simultaneous droughts and floods at different parts, same
place at different periods
1/3rd of the country is under threat of drought
1/6th of the country is prone to floods
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Index Insurance • Index insurance typically does not indemnify the pure loss,
but ex-ante agrees to make a payment upon the occurrence of
a triggering event
• ‘Homogenous area' approach based insurance is adopted
when reliable data of individual farmers is not available
• Area approach assumes that within an unit area annual yield
variability is similar for all farms thus forms a basic unit
• Area approach helps mitigate moral hazard of 'individual
approach' as all the insured in the unit area are treated at par
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Index Insurance - Rationale
• Large number of Small sized Farm-holdings ( 120 million / 1.2 hectare)
• Non availability of individual farm level record of Yields, risk
management capabilities etc
• Low value of output per unit
• Collection of small premiums from large number of farmers
• Prohibitive cost of Manpower and Infrastructure
• Asymmetric Information
• Systemic nature of Agriculture risks
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Crop Insurance System in India
• Predominantly Index based
• Credit linkage - presently compulsory, but need not be in future
• Cost of insurance is additionally financed by the credit institutions
• Insurance acts as collateral, lending agency has the first lien on claim
• Sum Insured is based on production cost – works as a safety-net
• Claims process is automated being ‘index’
• Multi-Agency Platform –convenient but insurer doesn’t have full control
• Insurance with social dimension as Government provides for about 2/3rd
cost of the program and has a larger say in dispute resolution
• Private insurers enjoy same level of support as public insurer
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Modified NAIS: How it Works?
• Village-groups as Insurance unit for major crops for widespread losses
• Farm level assessment for hailstorm and landslide damages
• Farm level assessment for post harvest losses caused by cyclonic rains to
crop left for drying in ‘cut & spread’
• On-account payment up to 25% of likely claims in case of severe losses
• TY based on past seven years average yields excluding two years of
declared natural calamities
• Indemnity levels of 70%, 80% & 90%
• Actuarial Premium , Up-front premium subsidy by Government
• Uniform Seasonality discipline for Loanee & Non Loanee Farmers
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Weather Index crop Insurance
• Reference Unit Area covered under a AWS
• Payout against deemed crop losses due to adverse weather incidence
• Peril covered are deficit rainfall, excess rainfall, Consecutive Dry/ Wet
Days, Heat / Frost & Mean Temp, Chilling Units, RH, Wind Speed,
Disease proxy
• Crops covered – all food crops, oilseeds, annual commercial & also
perennial horticulture crops like mango, apple, cashew, grapes ,orange
• Actuarial Premium rates with upfront premium subsidy from Govt.
Payouts based on pre-defined triggers on specified weather parameters
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Major Challenges
• Product Basis Risk
• Spatial Basis Risk
• Financial Literacy
• Delivery Channels for Non-Borrowing Farmers
• Market Standards (vis-à-vis competition)
• Plethora of Government Support programs
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Yield Index Insurance Basis Risk
• Challenges:
– Insurance Units are administrative, non-homogeneity
– Cost and Quality of Yield estimation surveys
• Solution:
– Lowering of the Insurance Unit
– Separate irrigated and rain-fed crop
– Satellite imagery (target sampling, yield modelling etc.)
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Weather Index Insurance Basis Risk
• Challenges:
– Product Basis Risk
– Spatial Basis Risk
– Weather Station Infrastructure & maintenance
• Solution:
Agronomic models
Low frequency & High Impact events (Catastrophe events)
Macro level Product
Increased weather station density
Technologies to generate weather data at micro level (TOPS etc.)
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Area Yield Index Weather Based Index
All Risk Insurance – drought,
flood, pest & diseases are
covered
Multiple perils cover viz. rainfall –
(excess & deficit), temperature (heat &
frost), relative humidity, wind speed
Easy to design Challenges in index design (peril, crop,
farming practices, agro-met zone etc.)
Low start-up costs High start-up costs
High loss assessment costs
(CCEs)
Low loss assessment costs
Slow claims settlement Faster claims settlement
Yield vs. Weather Index: Advantage/Challenges
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Recent Developments &
Innovations
• Index + (fruit crops)
• Loyalty Bonus for Non-Borrowing farmers
• Value added services (weather forecast etc.)
• Traditional Insurance at community level (using GPS enabled HHDs)
• Double Trigger (Weather and Yield) Product (conceptual stage)
• Weather Secondary and Modelled outputs
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Thanks!