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
Crop Insurance in India
1
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
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
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
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
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
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
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
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
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
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
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.)
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.)
14
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
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
Thanks!