Crop Insurance as a Risk Management Strategy in Bangladesh
Crop Insurance as a Risk Management Strategy in Bangladesh
Crop Insurance as a Risk Management Strategy in Bangladesh
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Box 3.1: Examples of Parametric or Index <strong>Insurance</strong><br />
Index products use any <strong>in</strong>dependent random variable me<strong>as</strong>urement that is readily<br />
observable, protected from tamper<strong>in</strong>g, and is highly correlated with agricultural or<br />
livestock losses. Four examples are:<br />
� Weather b<strong>as</strong>ed <strong>in</strong>dex uses a specific amount of ra<strong>in</strong>fall or a certa<strong>in</strong> number of days<br />
with temperature <strong>in</strong> a particular range <strong>as</strong> a trigger. If the trigger is struck a payment is<br />
made. IT is <strong>in</strong> use <strong>in</strong> Morocco, Mexico and India.<br />
� Area yield <strong>in</strong>dex uses the average crop yield <strong>in</strong> a country or particular jurisdiction <strong>as</strong> a<br />
trigger. If an <strong>in</strong>dividual farmer h<strong>as</strong> a yield less than the reference average, an<br />
<strong>in</strong>demnity payment is made <strong>as</strong> a function of the degree of deviation from the norm. It<br />
is <strong>in</strong> use <strong>in</strong> the USA, India, Brazil and Quebec, Canada.<br />
� Satellite vegetative <strong>in</strong>dex uses satellite images to calculate the health of a p<strong>as</strong>ture<br />
b<strong>as</strong>ed on ‘previous’ normal years and payment is made to the rancher b<strong>as</strong>ed on degree<br />
of deviation. It is <strong>in</strong> use <strong>in</strong> Alberta, Canada and Spa<strong>in</strong>.<br />
� Mortality rates of livestock: A yearly census of livestock is used <strong>as</strong> a reference po<strong>in</strong>t to<br />
estimate ‘annual average death rates’ from yearly census compar<strong>in</strong>g end of year to mid<br />
year po<strong>in</strong>ts. The trigger will be a certa<strong>in</strong> pre-fixed percentage of average mortality.<br />
When death rate surp<strong>as</strong>ses the ‘trigger’ payment will be made. It isunder design <strong>in</strong><br />
Mongolia.<br />
(Source: Skees et al. 2005)<br />
Disadvantage of Area-B<strong>as</strong>ed Indexed <strong>Insurance</strong><br />
� It is crucial that reliable and verifiable data are available on weather patterns. There are<br />
two <strong>as</strong>pects to this. First, there is a need for reliable historical data cover<strong>in</strong>g a period of at<br />
le<strong>as</strong>t 30 to 40 years (daily observations). The availability and cost for obta<strong>in</strong><strong>in</strong>g such data<br />
may be an important issue <strong>in</strong> several develop<strong>in</strong>g countries. Second, tamper-proof weather<br />
stations must be established to ensure reliable read<strong>in</strong>gs on <strong>in</strong>sured events. New hardware<br />
systems, such <strong>as</strong> optical precipitation sensors, can elim<strong>in</strong>ate any direct human<br />
<strong>in</strong>volvement <strong>in</strong> the record<strong>in</strong>g process. Read<strong>in</strong>gs can also be verified by compar<strong>in</strong>g with<br />
adjacent stations or with remote sens<strong>in</strong>g data taken from satellite images. At present, an<br />
important constra<strong>in</strong>t with satellite me<strong>as</strong>urements of ra<strong>in</strong>fall is that there is little history<br />
compared to conventional me<strong>as</strong>urements.<br />
Table 3.6: Advantages and challenges of <strong>in</strong>dex <strong>in</strong>surance<br />
Advantages Challenges<br />
Less moral hazard<br />
The <strong>in</strong>demnity does not depend on<br />
the <strong>in</strong>dividual producer’s realized<br />
yield<br />
B<strong>as</strong>ic risk<br />
Without sufficient correlation between the <strong>in</strong>dex and actual<br />
losses, <strong>in</strong>dex <strong>in</strong>surance is not an effective risk management<br />
tool. This is mitigated by self-<strong>in</strong>surance of smaller b<strong>as</strong>is risk<br />
by the farmer; supplemental products underwritten by<br />
private <strong>in</strong>surers; blend<strong>in</strong>g <strong>in</strong>dex <strong>in</strong>surance and rural f<strong>in</strong>ance;<br />
and offer<strong>in</strong>g coverage only for extreme events<br />
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