Index Based Livestock Insurance [Kenya]
- Creation:
- Update:
- Compiler: Duncan Collins Khalai
- Editor: –
- Reviewer: Rima Mekdaschi Studer
IBLI
technologies_3361 - Kenya
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- Index Based Livestock Insurance: Mei 9, 2019 (inactive)
- Index Based Livestock Insurance: Sept. 3, 2018 (inactive)
- Index Based Livestock Insurance: Nov. 2, 2021 (public)
- Index Based Livestock Insurance: Junie 7, 2018 (inactive)
- Index Based Livestock Insurance: Mei 13, 2018 (inactive)
- Index Based Livestock Insurance: Jan. 25, 2018 (inactive)
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Expand all Collapse all1. General information
1.2 Contact details of resource persons and institutions involved in the assessment and documentation of the Technology
Key resource person(s)
SLM specialist:
Name of project which facilitated the documentation/ evaluation of the Technology (if relevant)
Index Based Livestock Insurance, Kenya (IBLI)Name of the institution(s) which facilitated the documentation/ evaluation of the Technology (if relevant)
ILRI International Livestock Research Institute (ILRI) - Kenya1.3 Conditions regarding the use of data documented through WOCAT
When were the data compiled (in the field)?
24/01/2018
The compiler and key resource person(s) accept the conditions regarding the use of data documented through WOCAT:
Ja
1.4 Declaration on sustainability of the described Technology
Is the Technology described here problematic with regard to land degradation, so that it cannot be declared a sustainable land management technology?
Nee
2. Description of the SLM Technology
2.1 Short description of the Technology
Definition of the Technology:
Index-Based Livestock Insurance (IBLI) is a product that was designed to help protect pastoralists and their livestock against the effects of prolonged forage scarcity. IBLI triggers payment to pastoralists when the forage situation deteriorates to levels considered to be severe, as compared to historical conditions over time.
2.2 Detailed description of the Technology
Description:
In the event of severe seasonal drought, forage and grazing resources are depleted and livestock may die because of starvation. Index Based Livestock Insurance (IBLI) is the technology applied in the provision of forage based livestock (asset) protection insurance. IBLI uses Normalized Difference Vegetation Index (NDVI), a satellite-derived indicator of the amount and vigor of vegetation, based on the observed level of photosynthetic activity (Tucker et al., 2005). NDVI is derived from 10-day composites of 250m filtered eMODIS processed by the United States’ National Aeronautics and Space Administration (NASA) and transformed by The Earth Resources Observation Systems (EROS) Data Center (EDC) of the US Geological Survey (USGS). NDVI data from the AQUA satellite platform are available from July 2002 to present at https://lta.cr.usgs.gov/emodis.
In the case of IBLI, the index is a deviation of cumulative forage availability (ZCumNDVI) in the insured season. It measures forage conditions over a defined time period and compares the observed NDVI over a particular season, with the observed NDVI over a given historical period (e.g. 15 years). A set threshold below which payouts must be made is called the trigger level. Therefore, when the forage situation in a given season is worse than the 20th worst season in the last 15 years, a payout is triggered. In other words, IBLI will compensate if the forage conditions fall below the worst 20th percentile of seasonal pasture levels cumulated over the historical drought seasons in the past 15 years. IBLI therefore uses the satellite-based vegetation index to measure forage availability and to trigger timely payouts to pastoralists based on the costs of providing supplementary feeds to the animals for the specific season that a drought is triggered.
For precision and proper administration each insured county is broken down into smaller units of insurance which are referred to as Unit Areas of Insurance (UAIs). Each UAI represents a geographical area whose forage availability index data are aggregated as one unit for insurance purposes. The identification of the geographic areas that constitute UAIs is a key step in IBLI contract design because the use of average NDVI over insurable units is based on the premise that drought is a covariate shock and that pastoral communities affected in a particular area are deemed to suffer in equal measure.Thus, for accuracy and acceptability, the index should be tightly correlated with forage scarcity and reflect relative conditions on the ground. Also forage access should be relatively homogeneous for herders residing in the same insurable unit. The process of demarcating UAIs is known as clustering. It is done through a combination of active participatory community engagement and scientific methods .
Insured pastoralists are not always paid when there is drought. They are only paid when drought is so severe that the amount of forage falls below the strike level. Insured pastoralists will not receive payments if the forage availability is more than the strike level. This is an annual policy which covers forage availability as measured by satellite Normalized Difference Vegetation Index (NDVI) in up to 2 rainy seasons as per the bimodal rain patterns in Kenya. Pastoralists who do not hold insurance contracts are not covered by under, and therefore do not receive payments, even if they live in the same UAIs as the ones who have insured their livestock.
2.3 Photos of the Technology
2.5 Country/ region/ locations where the Technology has been applied and which are covered by this assessment
Country:
Kenya
Map
×2.6 Date of implementation
If precise year is not known, indicate approximate date:
- less than 10 years ago (recently)
2.7 Introduction of the Technology
Specify how the Technology was introduced:
- during experiments/ research
3. Classification of the SLM Technology
3.1 Main purpose(s) of the Technology
- reduce risk of disasters
- adapt to climate change/ extremes and its impacts
- create beneficial economic impact
3.2 Current land use type(s) where the Technology is applied
Grazing land
Extensive grazing land:
- Nomadism
- Semi-nomadism/ pastoralism
Main animal species and products:
Cattle, Goats, Sheep and Camels
3.3 Further information about land use
Water supply for the land on which the Technology is applied:
- rainfed
Number of growing seasons per year:
- 2
3.4 SLM group to which the Technology belongs
- pastoralism and grazing land management
3.5 Spread of the Technology
Specify the spread of the Technology:
- evenly spread over an area
If the Technology is evenly spread over an area, indicate approximate area covered:
- 100-1,000 km2
3.6 SLM measures comprising the Technology
other measures
3.7 Main types of land degradation addressed by the Technology
other
3.8 Prevention, reduction, or restoration of land degradation
Specify the goal of the Technology with regard to land degradation:
- adapt to land degradation
4. Technical specifications, implementation activities, inputs, and costs
5. Natural and human environment
5.1 Climate
Annual rainfall
- < 250 mm
- 251-500 mm
- 501-750 mm
- 751-1,000 mm
- 1,001-1,500 mm
- 1,501-2,000 mm
- 2,001-3,000 mm
- 3,001-4,000 mm
- > 4,000 mm
Indicate the name of the reference meteorological station considered:
Kenya Meteorological Department
Agro-climatic zone
- semi-arid
- arid
5.2 Topography
Slopes on average:
- flat (0-2%)
- gentle (3-5%)
- moderate (6-10%)
- rolling (11-15%)
- hilly (16-30%)
- steep (31-60%)
- very steep (>60%)
Landforms:
- plateau/plains
- ridges
- mountain slopes
- hill slopes
- footslopes
- valley floors
Altitudinal zone:
- 0-100 m a.s.l.
- 101-500 m a.s.l.
- 501-1,000 m a.s.l.
- 1,001-1,500 m a.s.l.
- 1,501-2,000 m a.s.l.
- 2,001-2,500 m a.s.l.
- 2,501-3,000 m a.s.l.
- 3,001-4,000 m a.s.l.
- > 4,000 m a.s.l.
Indicate if the Technology is specifically applied in:
- not relevant
5.3 Soils
Soil depth on average:
- very shallow (0-20 cm)
- shallow (21-50 cm)
- moderately deep (51-80 cm)
- deep (81-120 cm)
- very deep (> 120 cm)
Soil texture (topsoil):
- coarse/ light (sandy)
Soil texture (> 20 cm below surface):
- coarse/ light (sandy)
Topsoil organic matter:
- low (<1%)
5.4 Water availability and quality
Ground water table:
< 5 m
Availability of surface water:
poor/ none
Water quality (untreated):
poor drinking water (treatment required)
Is water salinity a problem?
Ja
Is flooding of the area occurring?
Nee
5.5 Biodiversity
Species diversity:
- medium
Habitat diversity:
- medium
5.6 Characteristics of land users applying the Technology
Sedentary or nomadic:
- Nomadic
Market orientation of production system:
- mixed (subsistence/ commercial
Off-farm income:
- less than 10% of all income
Relative level of wealth:
- average
Individuals or groups:
- individual/ household
Gender:
- women
- men
Age of land users:
- middle-aged
- elderly
5.7 Average area of land owned or leased by land users applying the Technology
- < 0.5 ha
- 0.5-1 ha
- 1-2 ha
- 2-5 ha
- 5-15 ha
- 15-50 ha
- 50-100 ha
- 100-500 ha
- 500-1,000 ha
- 1,000-10,000 ha
- > 10,000 ha
Comments:
Most land is communal
5.8 Land ownership, land use rights, and water use rights
Land ownership:
- communal/ village
Land use rights:
- communal (organized)
Water use rights:
- communal (organized)
5.9 Access to services and infrastructure
health:
- poor
- moderate
- good
education:
- poor
- moderate
- good
technical assistance:
- poor
- moderate
- good
employment (e.g. off-farm):
- poor
- moderate
- good
markets:
- poor
- moderate
- good
energy:
- poor
- moderate
- good
roads and transport:
- poor
- moderate
- good
drinking water and sanitation:
- poor
- moderate
- good
6. Impacts and concluding statements
6.1 On-site impacts the Technology has shown
Socio-cultural impacts
food security/ self-sufficiency
situation of socially and economically disadvantaged groups
Ecological impacts
Climate and disaster risk reduction
drought impacts
6.2 Off-site impacts the Technology has shown
Reduction of livestock mortality as a result of forage scarcity due to drought.
6.3 Exposure and sensitivity of the Technology to gradual climate change and climate-related extremes/ disasters (as perceived by land users)
Gradual climate change
Gradual climate change
Season | Type of climatic change/ extreme | How does the Technology cope with it? | |
---|---|---|---|
annual rainfall | decrease | moderately |
Climate-related extremes (disasters)
Climatological disasters
How does the Technology cope with it? | |
---|---|
drought | well |
Other climate-related extremes (disasters)
other (specify) | How does the Technology cope with it? |
---|---|
Forage scarcity | well |
6.4 Cost-benefit analysis
How do the benefits compare with the establishment costs (from land users’ perspective)?
Short-term returns:
slightly positive
Long-term returns:
positive
How do the benefits compare with the maintenance/ recurrent costs (from land users' perspective)?
Short-term returns:
positive
Long-term returns:
positive
6.5 Adoption of the Technology
- 10-50%
If available, quantify (no. of households and/ or area covered):
over 25,000 households
Of all those who have adopted the Technology, how many have did so spontaneously, i.e. without receiving any material incentives/ payments?
- 10-50%
6.6 Adaptation
Has the Technology been modified recently to adapt to changing conditions?
Nee
6.8 Weaknesses/ disadvantages/ risks of the Technology and ways of overcoming them
Weaknesses/ disadvantages/ risks in the land user’s view | How can they be overcome? |
---|---|
A key concern of index-insurance products is that there might occur variances in perceived loss versus the actual payouts (basis risk) | Proper contract design should be backed with ground truthing efforts together with awareness creation. |
7. References and links
7.1 Methods/ sources of information
- compilation from reports and other existing documentation
7.2 References to available publications
Title, author, year, ISBN:
Chelang'a et. al 2017
Title, author, year, ISBN:
Tucker et al., 2005
7.3 Links to relevant information which is available online
Title/ description:
IBLI website
URL:
https://ibli.ilri.org/
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