MR Microinsurance_2012_03_29.indd - International Labour ...
MR Microinsurance_2012_03_29.indd - International Labour ... MR Microinsurance_2012_03_29.indd - International Labour ...
254 General insurance from competitive, an approach to insurance oriented towards development impact will need to consider a contractual mechanism that ensures that the benefits of the insurance are indeed passed on to borrowers. In high-collateral environments, interlinking may still offer marketing advantages, as a single contract can offer both credit and insurance. 11.4 Conclusion: Designed for development impact Small farm agricultural insurance is not an end in itself. Its importance comes from its ability to relieve a fundamental problem of economic development, namely the economically costly self-insurance and coping strategies that can make and keep smallholders poor. Approaching the insurance problem from this development impact perspective suggests a demand-centric approach to contract design, rooted in data on small farm households and their production technologies and constraints. As explored in this chapter, this approach allows evaluation of alternative insurance indices – area yield, satellite-based, weather-based and hybrid combinations – and selection of a statistically optimal contract design that reduces uninsured basis risk in a cost-effective fashion. In addition, this approach opens the door to context-sensitive interlinked credit-insurance contracts designed to simultaneously deepen financial markets and facilitate small farm technology take-up by operating on both the demand and supply sides of the agricultural credit market. As argued here, it is the combination of intelligently designed contracts and interlinking that will allow index insurance to dominate small farm selfinsurance strategies, sustain demand and, ultimately, achieve the desired development impact, both on small farm incomes and on human development outcomes. Appendix – Simulation analysis index insurance versus self-insurance This appendix provides additional detail on the simulations discussed in sections 11.1 and 11.3. A complete discussion of these simulations, as well as further analysis of the degree to which there would be a demand for index contracts is given in Carter et al. (2010). Index insurance with traditional technology only Figure 11.4 illustrates the risk faced by a stylized farming household both with and without index insurance, assuming the opportunity set is unchanged. The horizontal axis shows the income available for family con sumption as a percentage of the family’s average consumption without insurance (100 per cent would thus be the family’s average consumption level). The vertical axis shows the cumulative probability of different consumption outcomes for the family. The
Next-generation index insurance for smallholder farmers green line shows these probabilities when the family does not have an index insurance contract. For 50 per cent of the time the family will have consumption levels at or below its average, and under the assumptions made for the simulation, for 10 per cent of the time the family will need to make do with consumption at or below 75 per cent of its normal level. Figure 11.4 Insuring the traditional technology Cumulative probability (%) 100 80 60 40 20 0 0 50 100 150 Household consumption (% of low technology average) Th e grey line shows the consumption probabilities if the family’s agricultural production is insured by an index contract. For illustration purposes, we have assumed that half of the yield variation faced by the family is covered by the index contract and that the other half is uncovered basis risk. We also assume that the premium charged for the contract has a loading of 20 per cent, meaning that the household pays 20 per cent more in premiums than it expects to recover from indemnity payments. Finally, we assume that the strike points are set in such a way that pay-off s are triggered whenever measured or predicted zone yields fall below their average level. Careful examination of Figure 11.4 shows both the strengths and weaknesses of index insurance. First, the probabilities of extremely low outcomes drops substantially. With insurance, there is only a 2 per cent chance of household consumption falling below 75 per cent of its normal level, down from a 10 per cent chance without insurance. While lower, this probability is not zero, refl ecting the fact that the contract does not cover all risks. Complete insurance cover without basis risk would stabilize household consumption at its mean level (less mark-up or loading costs). As can be seen from Figure 11.4, substantial basis risk remains relative to this idealized (but infeasible) complete insurance. 255 Low technology Low technology, insurance
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254 General insurance<br />
from competitive, an approach to insurance oriented towards development impact<br />
will need to consider a contractual mechanism that ensures that the benefits of<br />
the insurance are indeed passed on to borrowers. In high-collateral environments,<br />
interlinking may still offer marketing advantages, as a single contract can<br />
offer both credit and insurance.<br />
11.4 Conclusion: Designed for development impact<br />
Small farm agricultural insurance is not an end in itself. Its importance comes<br />
from its ability to relieve a fundamental problem of economic development,<br />
namely the economically costly self-insurance and coping strategies that can<br />
make and keep smallholders poor. Approaching the insurance problem from this<br />
development impact perspective suggests a demand-centric approach to contract<br />
design, rooted in data on small farm households and their production technologies<br />
and constraints.<br />
As explored in this chapter, this approach allows evaluation of alternative<br />
insurance indices – area yield, satellite-based, weather-based and hybrid combinations<br />
– and selection of a statistically optimal contract design that reduces<br />
uninsured basis risk in a cost-effective fashion. In addition, this approach opens<br />
the door to context-sensitive interlinked credit-insurance contracts designed to<br />
simultaneously deepen financial markets and facilitate small farm technology<br />
take-up by operating on both the demand and supply sides of the agricultural credit<br />
market. As argued here, it is the combination of intelligently designed contracts<br />
and interlinking that will allow index insurance to dominate small farm selfinsurance<br />
strategies, sustain demand and, ultimately, achieve the desired development<br />
impact, both on small farm incomes and on human development outcomes.<br />
Appendix – Simulation analysis index insurance versus self-insurance<br />
This appendix provides additional detail on the simulations discussed in sections<br />
11.1 and 11.3. A complete discussion of these simulations, as well as further analysis<br />
of the degree to which there would be a demand for index contracts is given in<br />
Carter et al. (2010).<br />
Index insurance with traditional technology only<br />
Figure 11.4 illustrates the risk faced by a stylized farming household both with<br />
and without index insurance, assuming the opportunity set is unchanged. The<br />
horizontal axis shows the income available for family con sumption as a percentage<br />
of the family’s average consumption without insurance (100 per cent would<br />
thus be the family’s average consumption level). The vertical axis shows the<br />
cumulative probability of different consumption outcomes for the family. The