Crop insurance in India

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Crop Insurance in India 1

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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 of Crop insurance in India

Page 1: Crop insurance in India

Crop Insurance in India

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Page 2: Crop insurance in India

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!