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1000 Titel
  • Efficient farming options for German apple growers under risk – a stochastic dominance approach
1000 Autor/in
  1. Röhrig, Maren B.K. |
  2. Hardeweg, Bernd |
  3. Lentz, Wolfgang |
1000 Erscheinungsjahr 2018
1000 Art der Datei
1000 Publikationstyp
  1. Artikel |
1000 Online veröffentlicht
  • 2018-01-08
1000 Erschienen in
1000 Quellenangabe
  • 21(1):101-120
1000 Copyrightjahr
  • 2017
1000 Lizenz
1000 Verlagsversion
  • https://doi.org/10.22434/IFAMR2017.0022 |
1000 Ergänzendes Material
  • https://www.wageningenacademic.com/doi/suppl/10.22434/IFAMR2017.0022 |
1000 Publikationsstatus
1000 Begutachtungsstatus
1000 Sprache der Publikation
1000 Abstract/Summary
  • For a sustainable economic performance of apple production, the determination of efficient farming options considering production risk is crucial. Relying on a permanent crop, apple producers are less flexible to react upon disturbances. Based on data of 134 apple producers operating in the two main production areas in Germany, we compare and determine efficient production options. Furthermore, appropriate risk management instruments (RMIs) are identified using stochastic dominance criteria. In addition, we use Stochastic Efficiency with Respect to a Function to evaluate farming options for defined ranges of relative risk aversion. The results indicate that Red Prince is the most efficient variety in the north and subsidized hail insurance with frost irrigation is superior to frost irrigation as single RMI. In the south Braeburn should be chosen by rational decision makers, but the tested insurance solutions are not as efficient as the common practice of producing apple under hail nets.
1000 Sacherschließung
lokal crop insurance
lokal risk management
lokal historical data approach
lokal risk perception
1000 Fachgruppe
  1. Agrarwissenschaften |
  2. Umweltwissenschaften |
1000 Fächerklassifikation (DDC)
1000 Liste der Beteiligten
  1. https://frl.publisso.de/adhoc/creator/UsO2aHJpZywgTWFyZW4gQi5LLg==|https://frl.publisso.de/adhoc/creator/SGFyZGV3ZWcsIEJlcm5k|https://frl.publisso.de/adhoc/creator/TGVudHosIFdvbGZnYW5n
1000 Label
1000 Förderer
  1. Federal Ministry of Education and Research (Germany)
1000 Fördernummer
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1000 Förderprogramm
  1. -
1000 Dateien
1000 Objektart article
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1000 Erstellt am 2019-04-24T12:50:51.553+0200
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1000 Oai Id
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