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Determinants of migration and environmental spillovers of IBLI
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Presented by Russell Toth (University of Sydney) at the IBLI policy workshop, Nairobi, 9 June 2015
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Determinants of migration and environmental spillovers of IBLI
What are the environmental impacts of IBLI? • Index‐based livestock insurance (IBLI) important approach to address crucial source of livelihood risk to pastoralists on the arid and semi‐arid lands (ASALs). • However, policymakers and implementing partners have been concerned about systemic effects of introducing IBLI. •
In particular, could IBLI induce increased herd accumulation and more intensive grazing patterns, in a fragile ecosystem?
What are the environmental impacts of IBLI? Grant: The Human and Environmental Impacts of Migratory Pastoralism in Arid and Semi‐arid East Africa, Australia Development Research Awards Scheme 2012 (ADRAS) by Dept. of Foreign Affairs and Trade, Australia. Key partners include Cornell University, ILRI, and US Dept of Agriculture. Core team includes computer scientists, economists, and rangeland scientists.
What are the environmental impacts of IBLI? Two key aspects: 1. Better understanding how pastoralists choose where and when to move their livestock 2. Studying how these might change in presence of Index‐ Based Livestock Insurance (IBLI) “This project seeks to generate a number of policy‐relevant results on the feedbacks between migrant pastoralism and the environment, including addressing the impacts of new index insurance products.”
How do pastoralists choose where and when to move their livestock? Determinants of Migration
Where would you move? • ASAL pastoralists face regular dry seasons in which they migrate to remote water and forage locations. • Migrate dozens or even hundreds of kilometres. •
How do pastoralists decide where to move? Face tradeoffs between • Distance (energy costs for animals) • Availability of water • Availability of forage • Security risks • Etc…
Where would you move? village ? ? ?
Understanding movement choices is important for policy • Many policy and investment choices have spatial aspects: e.g., land use policy, constructing waterpoints, providing access to food aid or market opportunities, etc. • When it comes to movement, margins of adjustment are very discrete. “This project seeks to generate a number of policy‐relevant results on the feedbacks between migrant pastoralism and the environment, including addressing the impacts of new index insurance products.”
It is not trivial to measure movement choices • Pastoralists cover vast distances, over inaccessible terrain. • Most existing work based on self‐reported movements. •
Measurement innovation: team includes expertise in satellite‐based measurement of livestock movements through GPS collars. • Collect location at 5‐minute intervals.
GPS Collars
Several Globules of Concentrated Use High Potential for Environmental Impact Linear, Trailing Features Limited Foraging Extent Each Globule Centered Around a Watering Point. Globular Movement Pattern
Further augmenting the GPS collar data • Household characteristics (household surveys, implemented by ILRI teams) • Locations of resources •
Forage (satellite data on NDVI) • Water (various methods to construct maps of waterpoint locations) • This allows us to pull together these data sources for analysis.
Availability of resources
Selection of resources
Making Sense of the Data: models needed! • In order to make sense of the data, our team has been applying a number of modelling approaches. • A model allows us to understand how pastoralists trade off (1) distance, (2) resources (water, forage), etc. •
Well‐fitted models can also allow us to make policy predictions: • How would herd movements change in response to policy interventions such as IBLI, waterpoint construction, changes in food distribution, conflict reduction, etc.? • How would herd movements change in response to changes in environment (e.g., climate)?
Findings so far (Ermon et al, 2015) • Current paper primarily considers the choice of pastoralists over which (remote) satellite camp to locate at. • We can explain movement choices with a relatively simple model (few variables). •
Results intuitive, e.g., herders are especially sensitive to movement distance. • Potential to leverage this kind of model to conduct other policy simulations.
How does IBLI change livestock movement choices? Environmental Spillovers
How does having IBLI change things? 1. Will access to IBLI change herd size? • Assumption that movement by larger herds will lead to greater environmental (vegetation) degradation. 1.
Will access to IBLI change herd movement patterns? • Assumption that more intensive movement will lead to greater environmental (vegetation) degradation. “This project seeks to generate a number of policy‐relevant results on the feedbacks between migrant pastoralism and the environment, including addressing the impacts of new index insurance products.”
Why would we expect behaviours to change? • In principle, because IBLI is index‐based, it should remove concerns about moral hazard, and it should reduce the need to self‐insure through livestock (“precautionary savings”). • However … 1.
Insurance, in a setting with few investment opportunities, makes livestock a more attractive investment, by changing the risk profile. 2. Movement effort may serve as costly self‐insurance, an incentive which IBLI may reduce. 3. People may misunderstand how insurance works.
Time Livestock Drought Drought Herd sizes follow boom‐and‐ bust cycles between normal weather and shocks due to drought
Time Livestock Drought Drought Weather index insurance could flatten out this cycle
What we do (Toth et al, 2014) • Identify impacts of IBLI on herd accumulation and herd movement by randomizing the provision of IBLI amongst pastoralist communities in southern Ethiopia. • Measure herd size and movement over 2011‐2015 using GPS collars, household surveys, and complementary data. •
Compare herd sizes and movement patterns (e.g., distance travelled) in households with and without IBLI.
Findings: herd accumulation • We find that cattle herd sizes increase: about 7 cows for the average herd size of 30. • We find that the effect is significantly stronger for individuals who score higher on an index of baseline understanding of IBLI. •
This is a net effect, not offset by reductions in other livestock (camels, shoats, etc). Increase in asset attractiveness seems to dominate precautionary savings for households who best understand IBLI.
Findings: movement • We find that herd movement becomes more intensive and concentrated: average distance moved decreases by 3‐5%. • This is further strengthened for greater understanding of IBLI. •
Households visit less waterpoints and spend more time at a given waterpoint. Could suggest that IBLI substitutes for precautionary movement effort.
What does it mean? • Results are consistent with emerging work from Kenya being conducted by colleagues: IBLI may lead to a decrease in herd size in the short run, but an increase in the long run. • However, there are significant caveats: •
Small sample sizes • Working with populations very early in experience curve with IBLI • Many margins of adjustment as program scales (internal and external) Something to keep tracking as IBLI scales
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