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01733nam a2200337Ia 4500 |
| 001 |
10.1093-erae-jbaa014 |
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220427s2021 CNT 000 0 und d |
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|a 01651587 (ISSN)
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| 245 |
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|a The optimal drought index for designing weather index insurance
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| 260 |
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|b Oxford University Press
|c 2021
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| 856 |
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|z View Fulltext in Publisher
|u https://doi.org/10.1093/erae/jbaa014
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|a Climate change increases the need for better insurance solutions that enable farmers to cope with drought risks. We design weather index insurance using drought indices based on precipitation, soil moisture and evapotranspiration as underlying drought index and compare their risk-reducing potential for winter wheat producers in Eastern Germany. In general, we find that all drought indices can reduce financial risk exposure. However, the largest risk reduction can be achieved if the underlying drought index is tailored individually for each farm. This implies that insurers should offer insurance with farm-specific underlying drought index. © 2018 Oxford University Press and Foundation for the European Review of Agricultural Economics 2018.
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| 650 |
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4 |
|a climate change
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| 650 |
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4 |
|a crop production
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| 650 |
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4 |
|a drought
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| 650 |
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4 |
|a drought indices
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| 650 |
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4 |
|a drought risks
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| 650 |
0 |
4 |
|a evapotranspiration
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| 650 |
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4 |
|a Germany
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| 650 |
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4 |
|a index design
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| 650 |
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4 |
|a index method
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| 650 |
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4 |
|a index-based insurance
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| 650 |
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4 |
|a insurance system
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| 650 |
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4 |
|a quantile regression
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| 650 |
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4 |
|a risk assessment
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| 650 |
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|a weather
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| 650 |
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4 |
|a wheat
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| 700 |
1 |
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|a Bucheli, J.
|e author
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| 700 |
1 |
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|a Dalhaus, T.
|e author
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| 700 |
1 |
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|a Finger, R.
|e author
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| 773 |
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|t European Review of Agricultural Economics
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