Crop Insurance As Risk Mitigation Tool in Agriculture

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Crop Insurance As Risk Mitigation Tool in Agriculture

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Title: Crop Insurance As Risk Mitigation Tool in Agriculture


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Crop Insurance As Risk Mitigation Tool in
Agriculture
Small Sized Holdings and Low Value Crop the
Case of Index Insurance 27th September 2012,
Brussels

Kolli N Rao Agriculture Insurance Company of
India (AIC)
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OVERVIEW
  • Indian Agriculture
  • Agriculture Risks
  • Crop Insurance Evolution
  • Crop Insurance Why Index insurance?
  • Crop Insurance Key Products
  • Crop Insurance How Products work?
  • Crop Insurance Key Characteristics
  • Crop Insurance Key Challenges
  • Crop Insurance New Initiatives

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  • Indian Agriculture

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Indian Agriculture Salient Features
  • 1.2 billion population
  • 120 million farm holdings
  • 80 farmers own less than two hectares
  • 61 of rural households are farming households
  • 145 million hectares of cultivated land
  • 190 million hectares of gross cropped area
  • 1.2 Hectare Average Farm-holding size
  • 50 of area under cereals and millets
  • 52 of the employment provided
  • 69 of population is sustained
  • Subsistence agriculture dominates
  • Agrl. GDP estimated at US 285 billions (FAO,
    2010)

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  • Agriculture Risks

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Rainfall Variability
  • Rainfall variability is dominant due to the
    presence of the Monsoon (seasonal winds blowing
    from the Indian Ocean and Arabian Sea in the
    southwest bringing heavy rainfall)
  • Monsoons contribute 78 Indias annual rainfall -
    undergoes wide inter annual variations
  • Large variations in rainfall distribution (lt10cm
    in western desert to gt1000cm in northeast)
  • Disparity in the rainfall distribution is so
    great droughts and floods occur at different
    parts of the country at the same period and in
    the same place at different periods
  • One - third of the country is mostly under threat
    of drought
  • One - sixth of the country prone to floods

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India
  • Crop Insurance History

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Evolution of Crop Insurance
  • J S Chakravarthi proposed Drought Insurance
    based on rainfall index in 1920
  • First ever crop insurance started in 1972 for H-4
    cotton based on individual farm
  • In 1979 a pilot insurance was introduced based on
    homogenous area based yield index (Pilot Crop
    Insurance Scheme PCIS)
  • In 1985 the PCIS was converted into a
    country-wide yield index based crop insurance
    covering cereals, millets, pulses and oilseeds
    (Comprehensive Crop Insurance Scheme CCIS)
  • Scope of CCIS expanded in 1999 as National
    Agricultural Insurance Scheme NAIS
  • Pilot Farm Income Insurance Scheme(FIIS)
  • Weather Based Crop Insurance Scheme WBCIS was
    introduced from 2007
  • Modified NAIS as pilot in 50 Districts from Rabi
    2010-11 season

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Why India Needed Index Based Crop Insurance?
  • Non availability of past record of Yields, Land
    surveys, Ownership and Tenancy
  • Large number of Farm-holdings (nearly 120
    million)
  • Small size of farm-holdings (Average size of 1.2
    hectare)
  • Remoteness inaccessibility of Farm-holdings
  • Low value per unit
  • Large variety of crops, varied agro-climatic
    conditions and package of practices
  • Difficulty in collection of small amount of
    premium from large number of farmers
  • Simultaneous harvesting of crops all over the
    country
  • Prohibitive cost of Manpower and Infrastructure

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National Agricultural Insurance Scheme
NAIS(Governments flagship Yield index Crop
Insurance Program)
  • Introduced in 1999 and presently in operation
    countrywide
  • Homogenous Area approach and Area-Yield Guarantee
  • Available to all Farmers - compulsory for
    borrowing optional for non-borrowing
  • Covers Food crops, Oilseeds Annual Commercial /
    Horticultural Crops
  • Indemnity levels vary from 60 to 90 of past
    average yield
  • Sum Insured - Loan amount to 150 of value of
    Yield
  • Premium rates
  • Food crops Oilseeds ranges from 1.5 to 3.5
  • Annual Commercial / Horticultural Crops
    Actuarial
  • Indemnities exceeding Premium for food crops
    oilseeds are borne by the Government
  • Being Implemented in 25 States 2 Union
    Territories
  • Covers more than 35 different crops each during
    Kharif and Rabi

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NAIS How it Works?
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Weather Index Crop Insurance
  • Government providing support since 2007
  • Indemnifies farmers against deemed crop losses
    due to adverse weather incidence
  • Crops covered include perennial horticulture
    crops like mango, apple, cashew, grapes orange
  • Risk based Premium rates with upfront premium
    subsidy from government
  • Payouts based on pre-defined triggers on
    specified weather parameters
  • Weather Parameters
  • Rainfall Deficit rainfall, Excess rainfall,
    Consecutive Dry/ Wet Days , Number of rainy days
  • Temperature Maximum Temperature (heat), Minimum
    Temperature (frost), Mean temperature, daily
    chilling units
  • Relative Humidity
  • Wind Speed
  • Disease proxy Combination of rainfall,
    temperature humidity

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Pilot WBCIS
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  • Modified Yield Index Insurance

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Modified NAIS How it Works?
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Index Based Crop InsuranceProgress 2011-12
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India
  • Crop Insurance Key Characteristics

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Key Features of Implementation
  • Credit linkage, and mandatory for borrowing
    farmers
  • Risk covered is based n production cost
    (safety-net)
  • Credit institutions also finance the premium (in
    addition to crop loan)
  • Insurance acts as collateral, and lending
    agencies have the first lien on claim
  • Minimal distribution costs
  • Claims process is automated
  • Yield estimation is done by the provincial
    government agencies , and based on single
    series
  • Weather product uses crop modeling inputs
  • Weather data comes from both public as well as
    private data providers
  • Extension activities and awareness programs are
    also organized by the government
  • Private insurance providers are allowed for
    actuarially priced programs, and enjoy same
    level of support as AIC
  • Government provides for about 2/3rd cot of the
    program

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Key Challenges
  • Basis risk
  • Issues of financial literacy
  • Un-realistic expectation high frequency payouts
    to sustain interest
  • Crop Insurance Vs Other Subsidy programs
  • Technically Complex Products (weather index)
  • Climate Change Seasonal Forecasts
  • Yield estimates prone to manipulation risk

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Some Solutions
  • Yield audit system
  • Weather data standardization and integration
  • Technical Support Unit (TSU) product
    bench-marking
  • Financial literacy and consumer education
  • Micro-insurance agents
  • On-line portal
  • Information interface for stakeholders

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India
  • Crop Insurance New Initiatives

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New Initiatives
  • Weather index
  • Index
  • Double-Trigger product
  • Savings linked (Loyalty Discount) based product
  • TOPS based weather data generation
  • Yield index
  • GPS enabled cell phones to audit yield estimation
  • Satellite imagery based area estimation and crop
    health reporting
  • Remote Sensing based Information and Insurance
    for Crops in Emerging Economies (RIICE)

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