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Index-insurance to protect pastoralists from drought shocks

  1. Index-insurance to protect pastoralists from drought shocks Francesco Fava, ILRI International Committee of the Red Cross (ICRC) Agro-Livestock Workshop–Climate Risks and Innovation in Conflict affected areas Linked to Agro/Livestock Production, Nairobi, 4 December 2019
  2. LIVESTOCK & PASTORALISM IN E. AFRICA LIVESTOCK & LIVELIHOODS  In East Africa and the Sahel pastoralism is the principal livelihood for over 40 million people;  In the Horn of Africa, exports of livestock and livestock products exceed $1billion annually.  In the region, estimated contribution of the livestock economy represents up to 60 percent of agricultural GDP
  3. LIVESTOCK & PASTORALISM IN E. AFRICA LIVESTOCK & LIVELIHOODS In Kenya and Ethiopia:  Median pastoralist household holds 100% of their productive assets in livestock  Livestock products and sales of livestock are 40% of income for average household  Global economy and environmental/climatic changes are increasing the vulnerability to shocks, while decreasing the efficiency of copying mechanisms.
  4. STANDARD RESPONSES TO DROUGHT ARE COSTLY & INSUFFICIENT  Food aid – slow, expensive, targeting challenges, foster dependency.  Cash aid – targeting challenges, fiscal sustainability, not equally effective for all. DROUGHT - A MAJOR RISK  Catastrophic herd loss due to drought identified as the major source of vulnerability and cause of poverty. 75% of livestock losses, among pastoralists, due to drought.  Strong evidence of asset-based poverty trap dynamics. DROUGHT RESPONSE
  5. DISASTER RISK FINANCING & INSURANCE (DRFI) In order to better prepare for disaster events, governments and institutions should have  a coordinated plan for post-disaster early response agreed in advance,  clearly defined rules and triggers for early disaster response, and  risk financing to ensure that the plan can be implemented in the event of a disaster IMPORTANCE OF LINKAGE WITH ACTION MECHANISMS (including financial) • Early warning • Early action • Backed by early finance
  6. Objective: Offer a timely, sustainable, safety net against catastrophic drought shocks on pastoralists. IBLI Program was launched in 2008 by ILRI to design an index-insurance product protecting pastoralists from asset losses during drought shocks. INDEX-BASED LIVESTOCK INSURANCE https://www.drylandinnovations.com/
  7. WHAT IS INDEX-BASED INSURANCE Conventional insurance  Loss Claim Verification Indemnity  Very high transactions costs for verification, etc.  Moral hazard Index-based insurance  It does not insure individual losses  It is based on an “index” strongly correlated with impacts (no claims)  The Index is objectively verifiable, available at low cost
  8. o Since 2010 IBLI has been scaled-up commercially in Kenyan and Ethiopian drylands through various programs o Since 2015, fully subsidized IBLI coverage is also provided to thousands of vulnerable pastoralists in Kenya under the KLIP (Kenyan Livestock Insurance Program), as part as Kenyan social protection policies. o Under KLIP, over 10 million USD of payouts have been distributed since 2016 to over 18000 pastoral households. o Several countries are evaluating to implement IBLI like contracts in East and West Africa o IBLI has been implemented in multiple modalities (micro-insurance, macro-insurance social protection, sovereign level insurance) IBLI SCALING
  9. 1. Precise contract design; 2. Evidence of value and impact; 3. Establishing informed effective demand; 4. Low cost, efficient supply chain; 5. Policy and institutional infrastructure. HOW A GOOD SCIENTIFIC IDEA CAN BECOME AN EFFECTIVE (SCALABLE) OPERATIONAL PROGRAM? RESEARCH – DEVELOPMENT DYCOTOMY? RESEARCH – DEVELOPMENT FEEDBACK LOOP
  10. Z-scoring to get seasonal index Vrieling et al., 2014, IJAEG Standardization and deviation from ‘historical’ mean Temporal accumulating Seasonal cumulated NDVI NDVI spatially aggregated 1-10 May 2011 MODIS NDVI image (10 day) Spatial aggregation 400 km PRODUCT DESIGN – INDEX OF FORAGE AVAILABILITY
  11. NDVI-based Forage Scarcity contracts – ASSET PROTECTION  Payouts at the end of the rainy season  Sum Insured: cost to keep livestock alive during drought PRODUCT DESIGN – ASSET PROTECTION
  12. If the trigger threshold is reached, the payout is proportional do the degree of forage scarcity severity (as estimated from z-cum NDVI) PAYOUT FUNCTION PRODUCT DESIGN – PAYOUT MODEL
  13. o The KLIP Policy: o Based on ILRI-designed asset protection NDVI-based index o Covers 5 Tropical Livestock Units for targeted households. Total covered value is Ksh 70,000 o Payment triggers below 20th percentile. o Government selects beneficiary households and holds policy on behalf of the insured o Payouts are delivered directly to beneficiary Households o Voluntary purchase options under implementation KLIP POLICY
  14. Hirfrot , Barrett, Lentz and Taddesse2014; Janzen and Carter 2013 NBER EVIDENCE OF IMPACT AND VALUE IMPACT ON PRODUCTION AND WELFARE  Increase herd survival rates by reducing risk of catastrophic loss  Increase investments in maintaining livestock through procurement of veterinary and services  Improved production outcomes: increases milk productivity  Positive impact on nutrition (i.e. child mid- upper arm circumference ) IMPACT ON COPING STRATEGIES IBLI improves post-drought coping. After catastrophic 2011 drought:  reduction in likelihood of distress livestock sales, especially (64%) among modestly better-off HHs (>8.4 TLU)  25% reduction in likelihood of reducing meals as a coping strategy, especially (43%) among those with small or no herds Chantarat, Mude, Barrett & Turvey 2017, World Dev.) (Jensen, Barrett & Mude 2016, Cornell Working paper)
  15. Pastoralists’ access and use of indemnity payouts through KLIP Chelanga et al., 2018 LRLD Drought 2017SRSD Drought 2016 Is there anything that you spent money on because of the KLIP payment that you could not have done so without the payment? EVIDENCE OF IMPACT AND VALUE
  16. CAPACITY DEVELOPMENT, EXTENSION, MARKETING Across the delivery chain – insurance underwriters, implementing partners, government agencies, regulators, extension and sales agents Fundamentally, for sustainable scale, the client needs to understand the product and trust the delivery mechanism. IBLI CAPACITY DEVELOPMENT STRATEGY Level 1: Knowledge and tools for government and insurance industry policy makers Level 2: Knowledge, skills and job aids for IBLI/KLIP sales agents and promoters Level 3: Awareness raising for potential clients ESTABLISH INFORMED DEMAND
  17. EFFICIENT DELIVERY MECHANISMS Mobile and digital solutions could potential solve may of the delivery challenges  Efficient agency models and tools  Developed mobile sales transactions applications with back end MIS for insurance companies  KLIP program leveraging provision of bank accounts through HSNP program in Northern Kenya  Bundling of extension services
  18. Snapshot of Use of Digital Technology in IBLI/KLIP DIGITAL INNOVATION – M-factor
  19. INSTITUTIONAL INFRASTRUCTURE  Sustainable, large-scale index insurance program requires a clear and well articulated policy structure  No example of unsubsidized private market for index insurance in developing countries. Globally only 7% of transaction volume is purely private  Experience and evidence suggests that for programs to go to scale they need to build on strong, well-coordinated public and private sectors
  20. RISK MANAGEMENT MULTI-LAYER FRAMEWORK Maher et al., 2018 INSTITUTIONAL INFRASTRUCTURE
  21. TOWARD SUSTAINABLE SCALING Growing body of evidence continues to highlight the socioeconomic and risk-management value of index insurance programs, and the logic of public support. IBLI experience has made a contribution to this evidence, and to identifying/solving some of the barriers to scale Going to scale will require careful research and development efforts to further unlock the barriers, and an alignment of policy and technological forces. Data: World Bank, FAO, Esri
  22. Case study – East Hararghe, Oromia  In 2018, ICRC implemented a livelihood program in the lowland areas of Oromia region, with the aim of protecting/restoring animal health and production capacity of conflict-affected pastoral communities.  Target population: 8,000 pastoralist households in Meyumuluke woreda, affected by the inter-communal conflict and were assisted with food and emergency household items (EHI).  Drought/critical water shortage, livestock diseases, shortage of veterinary service delivery, market and predators were identified as the major five livestock production constraints  ICRC opted to focus on addressing the challenges of livestock diseases.  Similar activities are now expanding in the adjacent Erer zone of Somali Regional State (SRS). Kumbi Meyu Muleke Golo Oda Midhaga Tola Girawa Bedeno Burqua Dhintu Fedis Fedis Lege Hida Meyu North Meyu East Meyu South Meyu Central ¯ 0 25 5012.5 Kilometers Legend IBLI Clusters Meyu Woreda Neighboring Woredas SOMALI REGION Somali Oromia Afar Amhara SNNPR Tigray Gambela Beneshangul Gumu Dire Dawa Hareri Addis Ababa
  23. Intervention area  Meyumuluke is one of the 20 woredas (districts) constituting the East Hararghe zone of Oromia National Regional State  Meyumuluke has a land area of 4500 – 5,000 km2  Altitude that varies from 900 meters above sea level (masl) to about 1400 masl, with a mean annual rainfall ranging from 500mm - 700mm and an average day time temperature of 30 – 370C (warm semi-arid)  The bulk of the rural population in Meyumuluke woreda are either pastoralists or agro-pastoralists  The district possesses large livestock resources of which cattle constitutes the majority followed by goats, camel, and sheep;
  24. Conflicts  At the end of 2016, heavy clashes with Oromo pastoral communities occurred in Erer zone (Somali region) woredas bordering Oromia region, resulting in population displacement, looting of their livestock and destruction of community´s productive assets.  The conflict but it also happened in bordering kebeles of most woredas along the Somali-Oromia border.  Political reasons are considered to be the prime cause of the violence that caused destruction in 2016  The conflict negatively impacted on the already stressed livelihoods of the community due to El Nino-induced drought that occurred in 2016-2017  Inter-communal conflict is also caused by competition over grazing land and watering points
  25. Interventions for conflict mitigation WHY INSURANCE? ASSUMPTION: Migration duration stress times and inter-communal conflict. Hp that insurance could be used: o To enable pastoralists access feed/fodder, thereby reducing the need for travelling further afield in search of animal feed and water, thus reducing the competition over natural resources o as a vehicle for facilitating inter-community interaction and dialogue. Risk reduction activities in the context of ICRC operations – Community-Based Protection o Raising Awareness in Relation to a Risk o Developing Self-Protection Strategies o Providing Assistance aiming to Reduce Risk Exposure o Facilitating Engagement Strategies o Supporting Self-Organization and Community Cooperation Processes
  26. Feasibility assessment - • Idea conceptualization: problem statement and conceptual framework design based on direct experiences, literature review and interactions with index- insurance actors. 3-6m • Feasibility assessment (country level): agro-ecological context, product technical design suitabiliy, rural development and macroeconomic context, natural hazard vulnerability, potential demand for insurance, weather/satellite/agricultural data infrastructure, private insurance infrastructure, distribution channels, institutional context and capacity, existing policies, legal & regulatory environment, stakeholders/partners interest and capacity, ongoing related projects and initiatives, potential for financial support. 6m-1y • Preparation (sub-country level): pilot area(s) identification, initial product design, risk modelling and pricing, product design tools (i.e. pricing, claim settlments, etc) development, public/private stakeholders/partners engagement at local and national level, capacity needs assessment, cap. dev. material development, detailed market study, implementation model design (i.e. distribution mechanism), implementation tools development (e.g. sales platform), legal/regulatory product approval process, design of M&E framework and baseline, funding mechanism and source identification. 3-5yrs • Implementation: testing and implementation of all components of the insurance program. Refinement of product design in response to stakeholders feedback and validation studies, generate evidences of impact, support informed demand, support policy and regulatory infrastructure, develop cost-effective delivery channels, refine business and implementation models, multi-level capacity building. - • Support Actions for Sustainable scaling: target actions and interventions to support enabling conditions for program scaling and long-term sustainability.
  27. Feasibility assessment • Biophysical (contract design) Can we technically design an IBLI product in the region? • Socio-economic (product value and potential demand) Can we expect that IBLI would be a valuable interventions for supporting livelihoods and that there will be demand for the product? • Operational/institutional (product supply) Are there the conditions for supplying the product? What type of investment would be needed to create the necessary infrastructure and capacity?
  28. Biophysical Rangeland dominance Seasonality
  29. Biophysical (summary) Meyu North Meyu East Meyu South Meyu Central Feasibility IBLI Clusters Suitable Rangeland Review ¯ 0 25 5012.5 Kms IBLI Suitability
  30. Socio-economic (vulnerability)
  31. Socio-economic (summary) Pros • Shared interest toward the product • Centrality of livestock for pastoralist welfare • Extreme vulnerability to drought • High cost of drought response in the area Challenges • Strong interaction between drought and disease. Potential confusion. • Need of subsidies Pros & Cons • Existing traditional social support mechanisms during drought • Existing safety net programs (PSNP)
  32. Operational Pros • Presence of OIC in Ethiopia and willingness to underwrite • Existing CAHWS network (potential distribution) • Existence of rural savings and co-operatives • Excellent mobile network • No rigid requirements for Sharia • Seemingly institutional support and national level policy under development Challenges • Limited financial literacy and awareness about insurance • Lack of value chain interventions addressing fodder markets and water resources • OIC needs incentives/support to move in the area • Very small area of intervention
  33. Summary – way forward  Preparatory and pilot intervention under discussion for 2020  Smart subsidies scheme initially donor-supported  Use of CAWHS or alternative organizations to support awareness creation, capacity building, and product distribution  Need of exploring how to link the project to IBLI initiatives in Borana, Somali and at national level for long term sustainability (high potential)  Need to further explore mechanisms for good use of payouts (value chain) This study can be an opportunity  to test hypotheses and design innovative solutions around the role of insurance in conflict mitigation.  to understand how this type of intervention could be linked to ICRC standard operations for livelihood support, beyond Ethiopia.  to demonstrate the value of such interventions for reducing humanitarian crisis (and costs) during drought
  34. Open questions  Is IBLI a meaningful interventions in post-conflict situation?  CONFLICTS. Can IBLI really be valuable for conflict mitigation? How?  direct effect (e.g. migration control during drought, premium incentives for good practices, vehicle for community dialogue etc.)  Indirect effect (resilience building, livelihood support, etc.)  ICRC Operation. Can IBLI really be sustainable? How (especially for those areas where index- insurance is not present)? Who can sustain the cost of implementation?
  35. THANKS! https://www.drylandinnovations.com/ f.fava@cigar.org
  36. FROM PIXELS TO PEOPLE  NDVI limitations and long term data continuity. How to improve the index? Can we use new/multiple indicators (e.g soil moisture, RFE) or different datasets (e.g. Sentinels)?  Poor characterization of rangeland systems (e.g. in relation to palatability/quality and land condition) Rangeland mask, multi-scale mapping (high/very high res. satellites).  Poor link between vegetation and livestock production. Forage quality, grazing patterns, livestock mapping, water points mapping  Lack of long term data for “validation” of mapping products. Crowdsourcing, ground networks (webcams), drones. SOME GAPS & OPPORTUNITIES FOR THE EO COMMUNITY

Editor's Notes

  1. Here there is not much to add to the slide content. The message is: livestock is central for the country economy and for a substantial fraction of the population
  2. In E. African drylands livestock is essential for household welfare and livelihood. Pastoralists have strategies to cope with drought, but environmental and climatic changes are increasing the vulnerability of these already fragile populations and decreasing the efficiency of traditional coping strategies (such as destocking and migration)
  3. Drought has catastrophic impacts on livestock assets and when pastoralists lose their animals there are evidences they are not able to recover and remain trapped into permanent poverty Standard response interventions (cash transfer/food aid) are extremely costly and happen too late, when drought is already impacting key assets and livelihoods.
  4. Here it is mostly all written. The cash/food aid logic of humanitarian response is now shifting toward a disaster risk financing approach toward effective early response. Early saving response allow early action toward prevention of major impacts on livestock and livelihood which is much more efficient. Here you can mention that EO is playing a growing role in triggering financial response mechanisms.
  5. IBLI works with this logic. It is an index-insurance product designed to provide timely payouts to pastoralists to protect their livestock in case of drought. Timely means that payouts given early in the growing season in case of there is a deficit in forage production. Thus payouts are given before the dry seasons when grazing resources would be quickly depleted and livestock will start to starve.
  6. IBLI is an index-insurance product. Traditional insurance (claim based, like the car ones) cannot work in these remote and low populated contexts because of the high transaction costs in verifying the claims. Instead index-insurance is based on an objective INDEX of the risk. If the index falls below a pre-agreed level, then payout are given independently from a claim process. No verification. The INDEX is based on EO-based indicators in most cases.
  7. Just read. Plans to scale up KLIP up to 100k households. Feasibility analyses done in Somalia, Uganda, Niger and several other countries are asking
  8. Several ingredients are necessary to make a disaster risk financing solution work. As listed. However, one critical area of interest for the EO community, is product design. It is of paramount importance of accurately assessing the risk you are covering and the potential of EO methods is huge in this respect and yet poorly explored. This is a clear case on EO technologies delivering impact. - Evidence of value and impact refers to impact studies demonstrating the benefits of IBLI for household welfare and copying strategies (vast literature) - Informed demand refers to awareness creation and capacity building efforts Supply chain refers to the development of tools (ICT based/mobile) to reduce the transactions costs to deliver the insurance product for the private sector (e.g. sales apps, mobile payments, electronic registration etc) Policy and institutional work is critical for creating the necessary enabling conditions for scaling (e.g. regulatory frameworks, policies, etc) This could be effectively achieved with a continuous research effort to respond to implementation needs.
  9. For IBLI we used MODIS NDVI imagery according to the methodology illustrated (spatial aggregation at insurance unit level, taking into account the extensive nature of grazing lands in the region and migration), then aggregated over the growing season(s) (there are two in East Africa) and finally an anomaly is calculated with respect to long term mean (z-score) to assess the current condition.
  10. You can also skip this eventually. It is reiterating that the design of IBLI is done for early response for asset protection. The payouts can serve to purchase feed/fodder, water, veterinary services etc to protect the livestock before mortality occur so the total sum insured (the maximum amount one can get) is equal to the cost of keeping an animal alive during drought. There are two seasons in East Africa, the short rains shor dry (oct to feb) and the long rains long dry (march to sept)
  11. When a pre-defined trigger is reached (so the forage availability falls below a certain level), then payout are linearly dependent on the forage availability index.
  12. Feasibility assessment is the first phase of the IBLI implementation cycle. It is a critical step to evaluate if investments to introduce IBLI are meaningful and to understand the modality of implementation
  13. The EO community could greatly contribute the development of index-insurance or, more broadly speaking, disaster risk financing solutions for the African drylands. And this in turn could have dramatic impacts on poverty reduction and SDGs. However, more efforts should be done to understand the specificity and complexity of rangeland systems in Africa and to design approaches that are tailored to these ecological systems. Can we go beyond NDVI and test new models to improve the assessment of forage resources? We need operational, near-real time and long term datasets and indicators that are tested and validated in the African context (e.g. RAPP PV/NPV/BS calibrated in Africa?) Can we improve our characterizations of rangelands to recognize the heterogeneity of these systems which has dramatic implications on their usability and value for grazing?  Rangeland are still not clearly defined and we do not have a recognized rangeland cover product… Can we explore more the potential of remote sensing for assessing forage quality (beyond quantity) and invest in generating reliable geospatial datasets to better monitor livestock production (e.g. livestock density, water points,etc? Finally, for this to be possible we need to address the huge issue of data scarcity in the pastoral drylands and support efforts to design effective networks of in situ measurements for model calibration/intercomparing/accuracy assessment. Given the cost of data collection in these remote region, new technologies should be tested.
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