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The Potential for Scale and Sustainability in Weather Index Insurance

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124<br />

Table 15: Forage Ra<strong>in</strong>fall Plan: Product particulars (2009)<br />

L<strong>and</strong> type: Value:<br />

CASE STUDY 6<br />

FORAGE RAINFALL PLAN IN ONTARIO, CANADA<br />

Rough l<strong>and</strong> pasture C$25/acre<br />

Improved pasture C$25-100/acre<br />

Intensely-managed pasture (or hay l<strong>and</strong>) C$100-300/acre<br />

Coverage amount C$2,000 up to a maximum equal to total value<br />

of crop (based on l<strong>and</strong> type values)<br />

Coverage plan options: Particulars:<br />

Base plan Places equal weight on ra<strong>in</strong>fall May to August<br />

Monthly weight<strong>in</strong>g Ra<strong>in</strong>fall is weighted as follows (based on<br />

deficit/surplus):<br />

May: 130%; June: 120%; July: 80%; August: 70%<br />

Three-month plan Equal weight<strong>in</strong>g May to July (August not used)<br />

Bimonthly plan May <strong>and</strong> June ra<strong>in</strong>fall are added together, <strong>and</strong><br />

July <strong>and</strong> August ra<strong>in</strong>fall are added together.<br />

Separate claim amounts are calculated <strong>for</strong> the<br />

May-June period <strong>and</strong> the July-August period. <strong>The</strong><br />

claim amount that is paid to a <strong>for</strong>age producer<br />

equals 60% of the May-June claim plus 40% of<br />

the July-August claim<br />

Incentives Provides collateral required to secure loans<br />

Pr<strong>in</strong>cipal stakeholders <strong>and</strong> delivery channels<br />

AgriCorp is responsible <strong>for</strong> the design <strong>and</strong> delivery of the Forage Ra<strong>in</strong>fall Plan. As an agent<br />

of the Ontario government, its objectives are to adm<strong>in</strong>ister crop <strong>in</strong>surance plans, <strong>in</strong>clud<strong>in</strong>g<br />

PI, <strong>and</strong> other programmes related to the agriculture <strong>and</strong> food <strong>in</strong>dustries. AgriCorp is<br />

responsible <strong>for</strong> collect<strong>in</strong>g <strong>and</strong> process<strong>in</strong>g all ra<strong>in</strong>fall data. It fulfils this responsibility by<br />

contract<strong>in</strong>g Environment Canada, a professional weather service. AgriCorp’s employees<br />

serve as <strong>in</strong>surance agents, with 125 field staff who are responsible <strong>for</strong> sell<strong>in</strong>g PI <strong>in</strong> Ontario.<br />

Product <strong>in</strong><strong>for</strong>mation<br />

<strong>The</strong> Forage Ra<strong>in</strong>fall plan is available to all <strong>for</strong>age producers <strong>in</strong> the prov<strong>in</strong>ce. Producers<br />

choose the amount of <strong>in</strong>surance, a coverage option, <strong>and</strong> a ra<strong>in</strong>fall collection station that<br />

best suits their risk-management needs. <strong>The</strong> value of the producer’s crop is determ<strong>in</strong>ed by<br />

l<strong>and</strong> type <strong>and</strong> acreage. <strong>The</strong> producer selects a coverage amount from a set m<strong>in</strong>imum up<br />

to the total value of his crop, <strong>and</strong> he selects a coverage plan based on his particular farm<br />

type <strong>and</strong> management practices. Premium rates differ <strong>for</strong> each option, as they are based<br />

on different weight<strong>in</strong>g schemes (Table 15).<br />

<strong>Weather</strong> data <strong>and</strong> <strong>in</strong>frastructure<br />

A network of 350 ra<strong>in</strong>fall collection stations across Ontario generates ra<strong>in</strong>fall <strong>in</strong>dices.<br />

Stations are located at 15-km <strong>in</strong>tervals throughout participat<strong>in</strong>g areas, approximately one<br />

per township. An appropriate local station is used as the st<strong>and</strong>ard <strong>for</strong> the producer.<br />

Contemporary <strong>and</strong> historical data are used to determ<strong>in</strong>e the difference between<br />

contemporary conditions <strong>and</strong> historical averages. Data from stations with<strong>in</strong> <strong>and</strong> adjacent to

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