weather insurance in practice, ethiopia

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NYALA INSURANCE S.C. We Care We Protect WEATHER INSURANCE IN PRACTICE, ETHIOPIA Eyob Meherette/NISCO Workshop on Developing Index-Based Livestock Insurance to Reduce Vulnerability due to Drought-related Livestock Deaths, ILRI, Addis Ababa, Ethiopia, 12 July 2010

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Presented by Eyob Meherette (NISCO) at the Workshop on Developing Index-Based Livestock Insurance to Reduce Vulnerability due to Drought-related Livestock Deaths, ILRI, Addis Ababa, Ethiopia, 12 July 2010.

TRANSCRIPT

Page 1: Weather insurance in practice, Ethiopia

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We Care We Protect

WEATHER INSURANCE IN PRACTICE, ETHIOPIA

Eyob Meherette/NISCO

Workshop on Developing Index-Based Livestock Insurance to Reduce

Vulnerability due to Drought-related Livestock Deaths, ILRI, Addis Ababa,

Ethiopia, 12 July 2010

Page 2: Weather insurance in practice, Ethiopia

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We Care We Protect

I. Background

II. Market Based Risk Transfer

III. Boset Weather Index Insurance

IV. Challenge and Scalability

Highlights of the Presentation

Page 3: Weather insurance in practice, Ethiopia

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Ethiopia, East Africa

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Page 4: Weather insurance in practice, Ethiopia

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I. Background

Brief country profile(Ethiopia)Area total 1.14mill. Km2Arable land 45%Population

◦Total 78.2mill◦Density 68.6/sq.km◦Working age 51.9%

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Page 5: Weather insurance in practice, Ethiopia

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Economy ◦GDP Birr 336.1 bill around 28 bill

USD(2008/09-NBE)◦Growth average 10% last four years◦Agriculture contribution 44%

Agriculture ◦83% of the population ◦87% of export earning◦90% are small holders◦97% of the farms are rain-fed

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Agricultural Risk

The major agricultural risk Deficit rainfall (drought)

Risk management practices Ex-ante

Traditional risk sharing & risk smoothingGov’t introduced

◦Productive safety net program

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Post-ante ◦Traditionally selling of animals & other

productive assets ◦Gov’t used to address such shock via

disaster prevention & preparedness commission

In both cases there was no market based risk transfer mechanism

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Page 8: Weather insurance in practice, Ethiopia

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Crop Season

Wereda Insured Farmers

Potential Client

Type of Cover

Crop Type Farm size In ha

Sum Insured in Birr

Premium in Birr

Claim in Birr

Loss Ratio in %

2007 Lume“Boset

97158

22,896 DT““

WheatTeffH.Bean

172.9117.555.75

503,513.9242,840.00117,521.00

23,715.512,017.765,535.24

- -

120 246.16 663,874.92 31,2682008 Lume

AdamaBosetAdea

22465146109133103

25,000DT Wheat

H.BeanWheatTeffLentilChickpea

324.5878.65118.2549.007651.25

1,446,003.9304,356.15526,803.75196,490.00224,200.00148,215.00

68,106.7814,335.1824,812.259,254.6810,559.806,980.93

91,465.78- -

827 777.83 3,076,282.50 144,960.32 522009 Lume

AdamaWelenchetiBosetBosetAdea “ “Total

602386613719824261813

DTDT DTDTWIDT““

WheatTeffH.BeanH.BeanH.BeanWheatTeffLentil

95.730.025.027.0159.75141.92184.532.5477.17

619,370.40211,950.0098,150.00106,002.00639,000.00901,064.271,326,573.45109,850.004,011,959.72

32,888.5711,254.555,211.775,628.7173,485.0047,846.5170,441.055,833.04252,589.20

310,000

Kola -Temben

200 10,000 WI Teff 21.0 115,000.00 27,600.00

G.Total 1960 57,896 1522.16 7,867,117.14 456,417.50 401,466 88

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II. Market Based Risk Transfer (NYALA’S Experience)

In the first two years 947 farmers were insured under two unions, four weredas under – DT multiple perils cover.

The cover was for their Teff, Wheat, Lentil and chickpea.

. Last season 200 farmers of Teff growers in Kola Tenben wereda (Adi ha) were insured under weather index (in cooperation with OXFAM /IRI)

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Index was based on NDVI using remote sensing methodology along with WRSI & farmers input

137 small holder farmers of haricot bean growers in Boset Wereda (Boffa) insured under weather index (in cooperation with WFP)

This year we are piloting a weather protection product in cooperation with IFPRI

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III. Boset Weather Index Pilot Insurance

1. Objective This pilot intends to protect the livelihoods of

small scale farmers, who are vulnerable to severe and catastrophic weather risks particularly drought

Enhance Small holder farmers access to agri. Inputs

Enabling the development of Ex-ante market based risk management mechanism which can be scalable in the whole country.

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2. Target Group

• Small holder farmers(0.5ha)

• Members of Lume, Adama farmers cooperative union(LAFCU)

• Haricot bean/Teff/Serial growers

• Have little or no savings to buy agricultural inputs

• Need to buy the inputs on credit from LAFCU

• Vulnerable to weather risk esp. deficit rainfall (drought)

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3. Contract Design

• Pilot area was selected based on:-

• Availability of weather station

• Vulnerability and occurrence of deficit rainfall (drought)

• Willingness of the Union to cooperate

• Existence of demand (need) for weather insurance

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• In designing the contract

• Ten years rainfall data from sodere w.st (15 Km) and two years data from the Boffa w.st were used to perform the historical burn analysis (HBA)

• To fill the statistical gap water requirement satisfaction index (WRSI) and the rainfall deficit computation panel (LEAPMETER) were presented

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Focus group discussion with farmers /NMA person, Agri. extension agents was conducted.

Crop cycle is divided into 3 main phasesInitial phase (Bukaya)Mid phase (Abeba)Final phase (Eshet)

Each phase composed of several 10 days called decade.

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Rainfall Deficit Computation Panel for haricot beans in

Boffa

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DateRainfall

[mm]Expected Rainfall

[mm]Deficit [mm]

Jul 1 - Jul 10 20

Jul 11 - Jul 20 25

Jul 21 - Jul 31 30

Aug 1 - Aug 10 42

Aug 10 - Aug 20 45

Aug 21 - Aug 31 30

Sep 1 - Sep 10 30

Sep 11 - Sep 20 25

Sep 21 - Sep 30 10

Total Phase Deficit [mm]

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How it works International

ReinsurerSwissRe.

NationalInsurance Co.

(NISCO)

Support Providers Policy Holders (Far Coop Union etc)

NMAMinist.

Of Agrict.

Partners

Insured Members

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Boffa H.beans, Mid August/2009

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NISCO’s Agronomist discussing with farmers

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IV. CHALLENGS & SCALABILITY

Major Challenges: Infrastructure esp. weather Sts. Limited Weather Data Basis Risk Reinsurance Technical knowhow/Capacity Farmers upfront paying capacity Affordability

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Scalability: High potential Demand

Well Structured Unions

Diversification/various products

Gov’t support

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We Care We Protect