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Getting farmers insured:
Progress and gaps
Pramod Aggarwal
CGIAR Program on Climate Change, Agriculture, and Food Security
BISA, CIMMYT, New Delhi, India
Number of people affected by weather-
related disasters (1995-2015)
Source: The human cost of weather-related
disasters:1995-2015. CRED and UNISDR, 2016
Natural disasters are increasing with time
Peter Hoeppe, 2016
Number of weather-related disasters
reported per country (1905-2015)
Source: The human cost of weather-related
disasters:1995-2015. CRED and UNISDR, 2016
This has led to a large interest in crop insurance:
Share of agricultural premium by region
Progress in Crop Insurance in India
80% farmers still uninsured
Yield (NAIS) and weather (WBCIS) index
schemes since 1985; Govt subsidy linked
to credit
Yet all stakeholders dissatisfied.
Why?
โ€ข All farmers: Governance, institutions, insurance literacy
โ€ข WBCIS farmers: weather variability- limited density of
weather stations; design of products, no coverage of
hailstorms, floods, post-harvest rains
โ€ข NAIS farmers: Crop-cutting limited and not scientific ,
compensation delayed and inadequate
โ€ข Industry: Frequent government intervention,
smallholdings, scattered, remote, transaction costs
โ€ข Government: subsidy, agrarian distress increasing
โ€ข Farmers satisfaction index-payment when due and in right
amount
โ€ข Industry: 70-80 % claim ratio
โ€ข Government: Premium subsidy not to increase
Improved triggers for weather insurance:
win-win products for farmers, industry and government
Improved triggers for weather insurance:
win-win products for farmers, industry and government
(work done in collaboration with AIC, Aon Benfield and Govt of Maharashtra
Term-sheet I II III IV
0 29.8 3.1 -0.4
0 0.0 58.3 -16.5
0 20.0 6.7 7.7
0 0.0 0.0 0.0
0 0.0 -43.3 0.0
0 0.0 0.0 0.0
Farmer
Satisfaction
Proposed
contract
0
10
20
30
40
50
60
70
80
90
100
0
1
2
3
4
5
6
7
Existing Contract Satisfaction Index-
farmer
Proposed Contract
Claimfrequency,%
SatisfactionIndex,Claimsratio
Satisfaction Index Claim ratio claim frequency, %
Revised deficit
rainfall triggers,
change over
existing contract
Farmerโ€™s satisfaction with rainfall indices:
Example from Maharashtra
0
1
2
3
4
5
6
7
Paddy Pearl Millet Cotton Soybean
Farmer'sSatisfactionIndex
Current Index New Index
Research outcome of this initiative
โ€ข More than a million
farmers using this
product in one
season in 2015 in
Maharashtra state -
chronic problems of
climatic risks
โ€ข Continuous
engagement with
industry and
government in model
development and
evaluation
New crop insurance scheme in 2016
Protection
against all
risks
including
localized
ones
Area (village)
approach
All food and
commercial
crops
Farmersโ€™
contribution
to premium
significantly
reduced
No capping
of premium
PPP model-
many private
insurance
companies
Use of
mobiles and
satellite
data for
quick
estimation
of losses
Target to
cover 50%
farmers by
2018
Prime Ministerโ€™s
Crop Insurance
Scheme
(PMFBY)
Research gaps to support this scheme
1. Yield index
๏‚ง Identification of
vulnerable areas for
targeting crop insurance
๏‚ง Smart sampling design
๏‚ง Dispute resolution
2. Loss assessment
including mid-season
3. Weather-based index
design
Assimilating remote sensing
in crop models
NDVI at maximum crop growth stage in Vidharbha
Area-yield index: Yield loss
assessment at village/farmer scale
โ€ข High resolution, farmer specific
schemes- VIs, satellite weather,
crop models, crowd-sourced
info
โ€ข Engaging farming communities
in monitoring, reporting and
verification of crop insurance
โ€ข Bundling with disaster relief/
management
โ€ข Bundling with other risk
management initiatives such as
drought/flood tolerant varieties,
water management- climate
smart villages
Next steps for scaling out crop insurance
Products for comprehensive risk management
Climate-Smart Village components
(www.ccafs.cgiar.org)
Is insurance contributing to agricultural development?
Effects of rainfall insurance on agricultural investments (amount used)*
50%
41%
32%
23%
35%
26%
36%
43%
41%
48%
42%
52%
14% 16%
27% 29%
23% 22%
0%
20%
40%
60%
80%
100%
120%
Fertilizer Seeds Pesticides Bullock Hired labor Credit for
inputs
PERCENTFARMERS
More No change Less
*Work done at Andhra Pradesh, India by Cole et al. 2014
Technology may not be the key constraint in scaling out insurance
Top 10 reasons for dissatisfaction in unsatisfied farmers*
26.8
29.8
33.8
37.3
44.3
45.353.3
56.5
56.5
80.8
0
20
40
60
80
100
Types of Risks
Covered
Period of Risk
Coverage
Time Delay in
Claim
Settlement
Explanation on
WBCIS Policy
Quantum of Sum
Assured
Responsiveness
of Intermediary
Resolution of
Queries
Mechanisms for
Grievance
Redress
Convenience in
Enrollment
Location of
Weather Station
*Source: AFC, GOI, 2011

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Getting farmers insured: progress and gaps

  • 1. Getting farmers insured: Progress and gaps Pramod Aggarwal CGIAR Program on Climate Change, Agriculture, and Food Security BISA, CIMMYT, New Delhi, India
  • 2. Number of people affected by weather- related disasters (1995-2015) Source: The human cost of weather-related disasters:1995-2015. CRED and UNISDR, 2016
  • 3. Natural disasters are increasing with time Peter Hoeppe, 2016
  • 4. Number of weather-related disasters reported per country (1905-2015) Source: The human cost of weather-related disasters:1995-2015. CRED and UNISDR, 2016
  • 5. This has led to a large interest in crop insurance: Share of agricultural premium by region
  • 6. Progress in Crop Insurance in India 80% farmers still uninsured Yield (NAIS) and weather (WBCIS) index schemes since 1985; Govt subsidy linked to credit
  • 7. Yet all stakeholders dissatisfied. Why? โ€ข All farmers: Governance, institutions, insurance literacy โ€ข WBCIS farmers: weather variability- limited density of weather stations; design of products, no coverage of hailstorms, floods, post-harvest rains โ€ข NAIS farmers: Crop-cutting limited and not scientific , compensation delayed and inadequate โ€ข Industry: Frequent government intervention, smallholdings, scattered, remote, transaction costs โ€ข Government: subsidy, agrarian distress increasing
  • 8. โ€ข Farmers satisfaction index-payment when due and in right amount โ€ข Industry: 70-80 % claim ratio โ€ข Government: Premium subsidy not to increase Improved triggers for weather insurance: win-win products for farmers, industry and government
  • 9. Improved triggers for weather insurance: win-win products for farmers, industry and government (work done in collaboration with AIC, Aon Benfield and Govt of Maharashtra Term-sheet I II III IV 0 29.8 3.1 -0.4 0 0.0 58.3 -16.5 0 20.0 6.7 7.7 0 0.0 0.0 0.0 0 0.0 -43.3 0.0 0 0.0 0.0 0.0 Farmer Satisfaction Proposed contract 0 10 20 30 40 50 60 70 80 90 100 0 1 2 3 4 5 6 7 Existing Contract Satisfaction Index- farmer Proposed Contract Claimfrequency,% SatisfactionIndex,Claimsratio Satisfaction Index Claim ratio claim frequency, % Revised deficit rainfall triggers, change over existing contract
  • 10. Farmerโ€™s satisfaction with rainfall indices: Example from Maharashtra 0 1 2 3 4 5 6 7 Paddy Pearl Millet Cotton Soybean Farmer'sSatisfactionIndex Current Index New Index
  • 11. Research outcome of this initiative โ€ข More than a million farmers using this product in one season in 2015 in Maharashtra state - chronic problems of climatic risks โ€ข Continuous engagement with industry and government in model development and evaluation
  • 12. New crop insurance scheme in 2016 Protection against all risks including localized ones Area (village) approach All food and commercial crops Farmersโ€™ contribution to premium significantly reduced No capping of premium PPP model- many private insurance companies Use of mobiles and satellite data for quick estimation of losses Target to cover 50% farmers by 2018 Prime Ministerโ€™s Crop Insurance Scheme (PMFBY)
  • 13. Research gaps to support this scheme 1. Yield index ๏‚ง Identification of vulnerable areas for targeting crop insurance ๏‚ง Smart sampling design ๏‚ง Dispute resolution 2. Loss assessment including mid-season 3. Weather-based index design
  • 15. NDVI at maximum crop growth stage in Vidharbha Area-yield index: Yield loss assessment at village/farmer scale
  • 16. โ€ข High resolution, farmer specific schemes- VIs, satellite weather, crop models, crowd-sourced info โ€ข Engaging farming communities in monitoring, reporting and verification of crop insurance โ€ข Bundling with disaster relief/ management โ€ข Bundling with other risk management initiatives such as drought/flood tolerant varieties, water management- climate smart villages Next steps for scaling out crop insurance Products for comprehensive risk management Climate-Smart Village components (www.ccafs.cgiar.org)
  • 17. Is insurance contributing to agricultural development? Effects of rainfall insurance on agricultural investments (amount used)* 50% 41% 32% 23% 35% 26% 36% 43% 41% 48% 42% 52% 14% 16% 27% 29% 23% 22% 0% 20% 40% 60% 80% 100% 120% Fertilizer Seeds Pesticides Bullock Hired labor Credit for inputs PERCENTFARMERS More No change Less *Work done at Andhra Pradesh, India by Cole et al. 2014
  • 18. Technology may not be the key constraint in scaling out insurance Top 10 reasons for dissatisfaction in unsatisfied farmers* 26.8 29.8 33.8 37.3 44.3 45.353.3 56.5 56.5 80.8 0 20 40 60 80 100 Types of Risks Covered Period of Risk Coverage Time Delay in Claim Settlement Explanation on WBCIS Policy Quantum of Sum Assured Responsiveness of Intermediary Resolution of Queries Mechanisms for Grievance Redress Convenience in Enrollment Location of Weather Station *Source: AFC, GOI, 2011

Editor's Notes

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