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WEATHER BASED CROP
INSURANCE
Dr. N. Sai Bhaskar Reddy
saibhaskarnakka@gmail.com
6th September 2013
Insurance
 Insurance is the equitable transfer of the risk
of a loss, from one entity to another in
exchange for payment.
 Individual entities can also self-insure through
saving money for possible future losses
Floods
Drought
The Insurance Industry
Insurance Group
Agency Company Agents
The Insurance Industry
Reinsurer
Insurance
Companies
Insurance Group
Investment
Companies
Drought
Environmental Risks
Risk reduction measures
 Drawing on accumulated savings of liquid assets (e.g.
cash, bank account balances etc.).
 Selling other assets (e.g. jewelry, land, livestock etc.).
 Borrowing from moneylenders, microfinance institutions
(MFIs), banks or other financial institutions.
 Informal risk-sharing arrangements with
neighbors, friends, family etc. (For example, if the
household suffers an adverse shock, there may be an
increase in remittance income sent by family members
living abroad, or financial assistance provided by other
households living in the same village, at least to the
extent that those households are not also affected by the
same shock).
 Government assistance (e.g. government work
programs, drought assistance programs etc.).
 Formal insurance arrangements
Understanding
 Natural catastrophes, especially weather related events, are increasing in
number and magnitude especially in Asia.
 There is more and more scientific evidence for causal links between climate
change and increasing frequencies and intensities of natural catastrophes.
 Global warming is real.
 We have to mitigate global warming and adapt to the changing risks in respect to
the regionally specific risk patterns.
 In Copenhagen ambitious CO2-reduction targets should be fixed to avoid
dangerous, unmanageable climate change.
 The insurance industry supports climate change mitigation and adaptation
measures by sharing its knowledge with the public and providing custom made
covers for innovative technologies.
 The Copenhagen outcome should provide adaptation funds for developing and
emerging countries, including new insurance solutions.
India is considered to be the second most disaster-
prone country in the world.
 With a large and growing population, densely
populated and low-lying coastline and an economy
that is closely tied to its natural resource
base, India is highly vulnerable to climate change.
 Disaster insurance cover, however, is low
compared to international standards and plays only a
complementary role. Disaster risk
management, including financing relief and
reconstruction, is primarily the responsibility of
governments, which provide actual assistance, or
communities through informal risk sharing.
 Frequently governments and communities do not
have sufficient resources, and households lacking
insurance typically turn to moneylenders, selling
assets, reducing inputs in farming, or
diversifying their activities. Another strategy is to
send family members to work elsewhere and remit
payments.
 Low insurance penetration in India can be traced to
a number of demand and supply side factors. On the
demand side, the foremost difficulty is the
unaffordability of insurance for low-income high-
risk regions. Other hurdles include public myopia
and low awareness among the public about
insurance and risk management.
 The experience of major insurance companies
shows that following a major catastrophe there is
a rush for insurance cover, particularly for life and
assets. But this interest is short lived, and in a
majority of cases these policies are not renewed.
Finally, large sections of the Indian economy operate
outside the formal economy – not just small
businesses, but also housing.
 On the supply side, easy access to insurance
products is still an issue. The problem of scaling up
small-scale schemes to encompass large rural areas
is the biggest hurdle in enhancing overall penetration
rates.
 The poor in many rural areas have higher
disaster risk exposure and also suffer more vis-à-
vis their urban counterparts (World Bank, 2003).
 More specifically, their vulnerability to climate-
change risks is increased on two counts: their
inability and/or unwillingness to involve in high-
risk activities (for instance growing cash crops)
that promise higher returns, and their inability to
reside in disaster safe locations.
Article 4.8 of the United Nations Framework
Convention on Climate Change (UNFCCC) and the
supporting Article 3.14 of the Kyoto Protocol call
upon developed countries to consider
actions, including insurance, to meet the specific
needs and concerns of developing countries in
adapting to climate change.
Communities at risk, governments, international
organizations, industry, and NGOs worldwide are
seeking solutions for preventing and adapting to
the rapidly multiplying impacts of climate change
and weather-related disasters.
The Munich Climate Insurance Initiative (MCII) was
formed in 2005 by NGOs insurers and
reinsurers, climate-change experts and policy
researchers to provide a forum for examining
insurance-related options that assist with adaptation
to the risks posed by climate change.
www.slf.ch/drf and www.iiasa.ac.at/Research/RMS.
Main characteristics of an index
 Observable and easily measured
 Objective
 Transparent
 Independently verifiable
 Able to be reported in a timely manner
 Stable and sustainable over time
Weather indexes can form the basis of an insurance
contract that protects farmers from weather risk
0% 20% 40% 60%
Drought
Crop Failure
Crop Disease
Drop in crop prices
Bad investment
0% 10% 20% 30%
Wait for rain before sow
Seek non-farm w ork
Sow less
Sow substitute crops
Don't sow (fallow )
Weighted self-
reports:
“What are the major
sources of risk
faced by your
household?
Weighted self-
reports:
“If it does not
rain, what do you
do?”
0% 10% 20% 30% 40% 50%
Security/risk reduction
Need harvest income
Advice from progressive farmers
High payout
Trusted farmers bought
Reasons for purchasing insurance | meeting participation
0% 10% 20% 30%
Do not understand product
No cash/credit to pay premium
Rain gauge too far aw ay
Too expensive
No castor, groundnut
Reasons for not purchasing insurance | meeting participation
Formal Responses
GOVT CROP
INSURANCE
WEATHER INSURANCE
Adverse
Selection and
moral hazard
YES NO
Transparency LOW HIGH
Premium Highly Subsidized Market rate
Linked to credit? YES NO
Basis Risk LOW MEDIUM
Administration
Costs
HIGH LOW
Claim Settlement Between 6 to 24 months Less than 30 days
 AGRICULTURE – Weather
Based Crop Insurance
Scheme (WBCIS) –
Kharif2013 – Notification for
Groundnut, Cotton, Red
Chilly, Oil Palm, Sweet Lime
and Tomato Crops in certain
Districts for implementation of
the Scheme - Orders –
Issued.
 AGRICULTURE & CO-
OPERATION (FP.II.)
Weather Based Crop Insurance Scheme
(WBCIS) – ANDHRA PRADESH
1. CROPS NOTIFIED: (include both
irrigated and Un-irrigated)
4. CULTIVATORS ELIGIBLE FOR
COVERAGE:
 All the cultivators (including sharecroppers and tenant cultivators)
growing the Notified Crops either Irrigated or Unirrigated in any of
the Reference Unit Areas shall be eligible for
coverage. The Scheme shall be:
 Compulsory: For all LOANEE APPLICANT CULTIVATORS i.e.
those who have
 Sanctioned Credit Limit from Financial Institutions (Co.op Banks,
Commercial Banks
 including private commercial Banks, RRB‟s etc.,) for the Notified
Crops in a Reference
 Unit Area.
 Voluntary: For NON-LOANEE CULTIVATORS i.e. those who do not
have Sanctioned Credit
 Limit from any Financial Institution for the Notified Crops in a
Reference Unit Area.
High Probability, Low Consequence Risks Vs. Low Probability, High
Consequence Risks
High probability
Low Consequence
Reduced yields
The producers
generally perceive
this as their risk
Normal weather
Low probability
High Consequence
Extremely low yields
Low probability
High Consequence
Extremely low yields
Extreme weather
events (excess rainfall
or flood)
Extreme weather
events (droughts)
The cropping calendar
*Maize yields are particularly sensitive to
rainfall during the tasseling stage and the yield
formation stage – rainfall during the latter
phase determines the size of the maize grain
Diagram taken from the FAO’s maize water requirement report*
Sowing and
establishment
period is also critical
crop survival
• A rainfall index is normally split into 3 or more crop growth phases
• Objective: maximise the correlation between index and loss of crop yield
Flood insurance concept
Design a flood index which can proxy losses
caused to crop
 Rice is the strategic crop most exposed to flood
 Flood impact is dependent on variety, time of
occurrence, depth, speed and duration of flood
water
 Harness technology to support insurance
underwriting and operations
 2 key components for index design phase
 Flood modelling (FM)
 Agro meteorological modelling (AMM)
 2 key components for operational phase
 Geographical information system
Pasak
River
LA4
LA2
LA3
LA1
LA5
“High Risk” Pricing Zone
“Medium Risk” Pricing Zone
“Low Risk” Pricing Zone
Summary: Combining the Technology
Components
FM + AMM Design a flood index that
proxies crop loss
FM+EO+GIS Define flood risk zones and
pricing the contract
EO+ GIS Loss adjustment for payout
determination according to
the index
FM: flood modelling. AMM: Agro-meteorological modelling.
EO: Earth observation. GIS: Geographical Information System.
ICICI LOMBARD / BASIX
INSURANCE
 Designed by ICICI Lombard, sold to farmers by
BASIX, a microfinance institution (MFI).
 Goal: Insure against deficient rainfall during primary
monsoon season (~ June - September).
 Rain gauges report daily rain at the mandal (county)
level.
 Payout promised <30 days of verification of rainfall data.
 Survey villages average 10.6km (6.6 miles) from gauge.
 Contract divides monsoon into three phases:
 (i) sowing; (ii) podding; (iii) harvesting
 Phase payout based on rainfall relative to trigger level.
Includes payouts for excessive rain during harvest.
Predictions about Takeup
Patterns
Other predictions outside formal model:
 Product is new, and may not be well understood
by farmers. Suggests insurance takeup may be:
 higher for households who trust the insurance
provider (BASIX), such as current customers.
 higher for households with lower cost of
understanding, experimenting with product:
 younger, more educated households.
 „early adopters‟: members of local council, and self
identified progressive households.
 Informally, have in mind a model of limited
cognition or limited information.
Weather index insurance - summary
 The product is simple and weather measurements
can be understood by farmers
 Basis risk can be reduced by increasing the
density of low cost weather stations
 Low cost of distribution and loss adjustment
 Less specialist knowledge needed to underwrite
the product
 The product is suited for catastrophe hazards
 The product is highly flexible and can multiply in
the insurance market
 Reinsurers are interested to accept the risk
Ref: http://.......

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Weather based crop insurance

  • 1. WEATHER BASED CROP INSURANCE Dr. N. Sai Bhaskar Reddy saibhaskarnakka@gmail.com 6th September 2013
  • 2. Insurance  Insurance is the equitable transfer of the risk of a loss, from one entity to another in exchange for payment.  Individual entities can also self-insure through saving money for possible future losses
  • 5. The Insurance Industry Insurance Group Agency Company Agents
  • 8. Risk reduction measures  Drawing on accumulated savings of liquid assets (e.g. cash, bank account balances etc.).  Selling other assets (e.g. jewelry, land, livestock etc.).  Borrowing from moneylenders, microfinance institutions (MFIs), banks or other financial institutions.  Informal risk-sharing arrangements with neighbors, friends, family etc. (For example, if the household suffers an adverse shock, there may be an increase in remittance income sent by family members living abroad, or financial assistance provided by other households living in the same village, at least to the extent that those households are not also affected by the same shock).  Government assistance (e.g. government work programs, drought assistance programs etc.).  Formal insurance arrangements
  • 9. Understanding  Natural catastrophes, especially weather related events, are increasing in number and magnitude especially in Asia.  There is more and more scientific evidence for causal links between climate change and increasing frequencies and intensities of natural catastrophes.  Global warming is real.  We have to mitigate global warming and adapt to the changing risks in respect to the regionally specific risk patterns.  In Copenhagen ambitious CO2-reduction targets should be fixed to avoid dangerous, unmanageable climate change.  The insurance industry supports climate change mitigation and adaptation measures by sharing its knowledge with the public and providing custom made covers for innovative technologies.  The Copenhagen outcome should provide adaptation funds for developing and emerging countries, including new insurance solutions.
  • 10. India is considered to be the second most disaster- prone country in the world.  With a large and growing population, densely populated and low-lying coastline and an economy that is closely tied to its natural resource base, India is highly vulnerable to climate change.  Disaster insurance cover, however, is low compared to international standards and plays only a complementary role. Disaster risk management, including financing relief and reconstruction, is primarily the responsibility of governments, which provide actual assistance, or communities through informal risk sharing.
  • 11.  Frequently governments and communities do not have sufficient resources, and households lacking insurance typically turn to moneylenders, selling assets, reducing inputs in farming, or diversifying their activities. Another strategy is to send family members to work elsewhere and remit payments.
  • 12.  Low insurance penetration in India can be traced to a number of demand and supply side factors. On the demand side, the foremost difficulty is the unaffordability of insurance for low-income high- risk regions. Other hurdles include public myopia and low awareness among the public about insurance and risk management.
  • 13.  The experience of major insurance companies shows that following a major catastrophe there is a rush for insurance cover, particularly for life and assets. But this interest is short lived, and in a majority of cases these policies are not renewed. Finally, large sections of the Indian economy operate outside the formal economy – not just small businesses, but also housing.
  • 14.  On the supply side, easy access to insurance products is still an issue. The problem of scaling up small-scale schemes to encompass large rural areas is the biggest hurdle in enhancing overall penetration rates.  The poor in many rural areas have higher disaster risk exposure and also suffer more vis-à- vis their urban counterparts (World Bank, 2003).  More specifically, their vulnerability to climate- change risks is increased on two counts: their inability and/or unwillingness to involve in high- risk activities (for instance growing cash crops) that promise higher returns, and their inability to reside in disaster safe locations.
  • 15. Article 4.8 of the United Nations Framework Convention on Climate Change (UNFCCC) and the supporting Article 3.14 of the Kyoto Protocol call upon developed countries to consider actions, including insurance, to meet the specific needs and concerns of developing countries in adapting to climate change. Communities at risk, governments, international organizations, industry, and NGOs worldwide are seeking solutions for preventing and adapting to the rapidly multiplying impacts of climate change and weather-related disasters.
  • 16. The Munich Climate Insurance Initiative (MCII) was formed in 2005 by NGOs insurers and reinsurers, climate-change experts and policy researchers to provide a forum for examining insurance-related options that assist with adaptation to the risks posed by climate change. www.slf.ch/drf and www.iiasa.ac.at/Research/RMS.
  • 17. Main characteristics of an index  Observable and easily measured  Objective  Transparent  Independently verifiable  Able to be reported in a timely manner  Stable and sustainable over time Weather indexes can form the basis of an insurance contract that protects farmers from weather risk
  • 18. 0% 20% 40% 60% Drought Crop Failure Crop Disease Drop in crop prices Bad investment 0% 10% 20% 30% Wait for rain before sow Seek non-farm w ork Sow less Sow substitute crops Don't sow (fallow ) Weighted self- reports: “What are the major sources of risk faced by your household? Weighted self- reports: “If it does not rain, what do you do?”
  • 19. 0% 10% 20% 30% 40% 50% Security/risk reduction Need harvest income Advice from progressive farmers High payout Trusted farmers bought Reasons for purchasing insurance | meeting participation 0% 10% 20% 30% Do not understand product No cash/credit to pay premium Rain gauge too far aw ay Too expensive No castor, groundnut Reasons for not purchasing insurance | meeting participation
  • 20. Formal Responses GOVT CROP INSURANCE WEATHER INSURANCE Adverse Selection and moral hazard YES NO Transparency LOW HIGH Premium Highly Subsidized Market rate Linked to credit? YES NO Basis Risk LOW MEDIUM Administration Costs HIGH LOW Claim Settlement Between 6 to 24 months Less than 30 days
  • 21.  AGRICULTURE – Weather Based Crop Insurance Scheme (WBCIS) – Kharif2013 – Notification for Groundnut, Cotton, Red Chilly, Oil Palm, Sweet Lime and Tomato Crops in certain Districts for implementation of the Scheme - Orders – Issued.  AGRICULTURE & CO- OPERATION (FP.II.) Weather Based Crop Insurance Scheme (WBCIS) – ANDHRA PRADESH
  • 22. 1. CROPS NOTIFIED: (include both irrigated and Un-irrigated)
  • 23.
  • 24. 4. CULTIVATORS ELIGIBLE FOR COVERAGE:  All the cultivators (including sharecroppers and tenant cultivators) growing the Notified Crops either Irrigated or Unirrigated in any of the Reference Unit Areas shall be eligible for coverage. The Scheme shall be:  Compulsory: For all LOANEE APPLICANT CULTIVATORS i.e. those who have  Sanctioned Credit Limit from Financial Institutions (Co.op Banks, Commercial Banks  including private commercial Banks, RRB‟s etc.,) for the Notified Crops in a Reference  Unit Area.  Voluntary: For NON-LOANEE CULTIVATORS i.e. those who do not have Sanctioned Credit  Limit from any Financial Institution for the Notified Crops in a Reference Unit Area.
  • 25.
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  • 37. High Probability, Low Consequence Risks Vs. Low Probability, High Consequence Risks High probability Low Consequence Reduced yields The producers generally perceive this as their risk Normal weather Low probability High Consequence Extremely low yields Low probability High Consequence Extremely low yields Extreme weather events (excess rainfall or flood) Extreme weather events (droughts)
  • 38. The cropping calendar *Maize yields are particularly sensitive to rainfall during the tasseling stage and the yield formation stage – rainfall during the latter phase determines the size of the maize grain Diagram taken from the FAO’s maize water requirement report* Sowing and establishment period is also critical crop survival • A rainfall index is normally split into 3 or more crop growth phases • Objective: maximise the correlation between index and loss of crop yield
  • 39.
  • 40.
  • 41.
  • 42. Flood insurance concept Design a flood index which can proxy losses caused to crop  Rice is the strategic crop most exposed to flood  Flood impact is dependent on variety, time of occurrence, depth, speed and duration of flood water  Harness technology to support insurance underwriting and operations  2 key components for index design phase  Flood modelling (FM)  Agro meteorological modelling (AMM)  2 key components for operational phase  Geographical information system
  • 43. Pasak River LA4 LA2 LA3 LA1 LA5 “High Risk” Pricing Zone “Medium Risk” Pricing Zone “Low Risk” Pricing Zone
  • 44. Summary: Combining the Technology Components FM + AMM Design a flood index that proxies crop loss FM+EO+GIS Define flood risk zones and pricing the contract EO+ GIS Loss adjustment for payout determination according to the index FM: flood modelling. AMM: Agro-meteorological modelling. EO: Earth observation. GIS: Geographical Information System.
  • 45. ICICI LOMBARD / BASIX INSURANCE  Designed by ICICI Lombard, sold to farmers by BASIX, a microfinance institution (MFI).  Goal: Insure against deficient rainfall during primary monsoon season (~ June - September).  Rain gauges report daily rain at the mandal (county) level.  Payout promised <30 days of verification of rainfall data.  Survey villages average 10.6km (6.6 miles) from gauge.  Contract divides monsoon into three phases:  (i) sowing; (ii) podding; (iii) harvesting  Phase payout based on rainfall relative to trigger level. Includes payouts for excessive rain during harvest.
  • 46. Predictions about Takeup Patterns Other predictions outside formal model:  Product is new, and may not be well understood by farmers. Suggests insurance takeup may be:  higher for households who trust the insurance provider (BASIX), such as current customers.  higher for households with lower cost of understanding, experimenting with product:  younger, more educated households.  „early adopters‟: members of local council, and self identified progressive households.  Informally, have in mind a model of limited cognition or limited information.
  • 47. Weather index insurance - summary  The product is simple and weather measurements can be understood by farmers  Basis risk can be reduced by increasing the density of low cost weather stations  Low cost of distribution and loss adjustment  Less specialist knowledge needed to underwrite the product  The product is suited for catastrophe hazards  The product is highly flexible and can multiply in the insurance market  Reinsurers are interested to accept the risk