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Protecting Pastoralists from the Risk of Drought Related Livestock Mortality: Piloting Index-Based Livestock Insurance (IBLI) in Northern Kenya WANDERA BRENDA International Livestock Research Institute (ILRI) www.ilri.org/ibli ISAC workshop on 5th May 2011 in Addis Ababa, Ethiopia.
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Protecting Pastoralists from the Risk of Drought Related Livestock Mortality: Piloting Index-Based Livestock Insurance (IBLI) in Northern Kenya WANDERA BRENDA International Livestock Research Institute (ILRI) www.ilri.org/ibli ISACworkshop on 5th May 2011 in Addis Ababa, Ethiopia
Managing Risk in the ASALs Arid and Semi-Arid Lands (ASAL) residents, particularly in Northern Kenya, confront harsh and volatile environments. High level of risk: Droughts, Diseases, Conflict Low levels of capacity: Infrastructure deficient Few alternative livelihood opportunities Livelihoods are primarily based on livestock
Impact of Drought on Livelihoods • Livestock is both the principal asset and source of income for the vast majority of ASAL residents • Drought is the single greatest cause of livestock mortality • Most drought related livestock mortality occurs under severe conditions Proportion of total income by source Livestock mortality by cause
Insurance and Agricultural Development • Risk and shock of livestock mortality due to drought imposes considerable economic and welfare costs on pastoralists • Sustainable insurance can mitigate this risk and shock • But can insurance be sustainably offered in the ASALs? • Conventional insurance cannot be sustainable, especially in remote pastoral area such as Marsabit and Northern Kenya • Transactions costs • Moral hazard/adverse selection
Index Based Insurance • New innovation in insurance avoids problems that make traditional insurance unprofitable for small and remote clients: • Policy holders paid based on external “index” that triggers indemnity payouts to all insured clients • Suited for risks affecting a large number of people simultaneously and for which a suitable index exists. • Advantages • No transactions costs of measuring individual losses • no moral hazard as no single individual can influence index. • Adverse selection does not matter as payouts do not depend on the riskiness of those who buy the insurance • Disadvantage • Problem of “basis” risk (gap between each individual’s actual loss and the index)
The index DESIGNING AN INDEX • Need to model a relationship between the risk to be insured and the index The Response Function • Need for a measure that is: • Highly correlated with livestock mortality • Reliably and cheaply available for wide range of locations • Historically available • The challenge of data availability
Data Deviation of NDVI from long-term average February 2009, Dekad 3 NDVI February 2009, Dekad 3 Laisamis Cluster, zndvi (1982-2008) Historical droughts NASA NDVI Image Produced By: USGS-EROS Data Center. Source: Famine Early Warning System Network (FEWS-NET)
Geographic Clusters • Estimate separate response functions for distinct geographic clusters due to differences in herd composition, grazing ranges, water access, etc. • Upper Marsabit (Chalbi) • Lower Marsabit(Laisamis)
Temporal structure of IBLI contract and cumulative standardized NDVI Product Design
Challenges in using NDVI • AVHRR NDVI processing- had to test various alternatives mid stream. Consulted VITO. Eventually chose MODIS over AVHRR. • None of the project team members are RS experts. It is likely not maximize on capabilities for predictive modeling • We may improve by removing various errors in our signal (reflectance, cloud cover etc) to enhance current forage signal with a combination of relevant RS variables. • Need to identify an independent institution with the capacity to verify the index, certify and possibly announce on behalf of the market
Thank you. For more information, please visit www.ilri.org/ibli
From NDVI to index update and announcement • Download new MODIS NDVI every 16-days • Calculate update or final value of predicted livestock mortality index • Send results to implementation partners to disseminate information to pastoralists
Contract Premiums • Premiums for contract with trigger level 15%, providing annual coverage with two potential payout periods • 5.5% in Upper Marsabit • 3.25% in Lower Marsabit • 1 Tropical Livestock Unit (TLU) = 1 cattle = 0.7 camel = 10 goats/sheep values at Ksh 15,000 • To insure 1 TLU for a year costs • 825 Ksh in Upper Marsabit • 487.5 Ksh in Lower Marsabit
Contract Sales Jan/Feb 2010 • Large number of uptake • On average, small herd size (TLU) insured • Small size as business, need to grow • Lack of understanding or misunderstanding of the product