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  How do inputs and weather drive wheat yield volatility? The example of Germany

Albers, H., Gornott, C., Hüttel, S. (2017): How do inputs and weather drive wheat yield volatility? The example of Germany. - Food Policy, 70, 50-61.
https://doi.org/10.1016/j.foodpol.2017.05.001

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 Creators:
Albers, H.1, Author
Gornott, Christoph2, Author              
Hüttel, S.1, Author
Affiliations:
1External Organizations, ou_persistent22              
2Potsdam Institute for Climate Impact Research, ou_persistent13              

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 Abstract: Increases in cereals production risk are commonly related to increases in weather risk. We analyze weather-induced changes in wheat yield volatility as a systemic weather risk in Germany. We disentangle, however, the relative impacts of inputs and weather on regional yield volatility. For this purpose we augment a production function with phenologically aggregated weather variables. Increasing volatility can be traced back to weather changes only in some regions. On average, inputs explain 49% of the total actual wheat yield volatility, while weather explains 43%. Models with only weather variables deliver biased but reasonable approximations for climate impact research.

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 Dates: 2017
 Publication Status: Finally published
 Pages: -
 Publishing info: -
 Table of Contents: -
 Rev. Type: Peer
 Identifiers: DOI: 10.1016/j.foodpol.2017.05.001
PIKDOMAIN: Climate Impacts & Vulnerabilities - Research Domain II
eDoc: 7691
Research topic keyword: Climate impacts
Research topic keyword: Land use
Regional keyword: Germany
Regional keyword: Brandenburg
Organisational keyword: RD2 - Climate Resilience
 Degree: -

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Title: Food Policy
Source Genre: Journal, SCI, Scopus
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Affiliations:
Publ. Info: -
Pages: - Volume / Issue: 70 Sequence Number: - Start / End Page: 50 - 61 Identifier: Other: Elsevier
Other: 1873-5657
ISSN: 0306-9192
CoNE: https://publications.pik-potsdam.de/cone/journals/resource/food-policy