Mechanistic crop growth models are becoming increasingly important in agricultural research and are extensively used in climate change impact assessments. In such studies, statistics of crop yields are usually evaluated without the explicit consideration of sample size requirements. The purpose...

We analyze determinants of hail insurance use of Swiss farmers, covering the period 1990-2009 usingFADN panel data. Mixed effect logistic regression models are estimated to identify the most importantfarm and farmer characteristics that determine insurance use. In addition, information on local...

We investigate impacts of climate change (CC) and likely increases in price risks on income, income variability, utility and on adaptation responses in crop production in Western Switzerland. To this end, a bio-economic model is used that combines a crop growth model with an economic decision...

We analyze determinants of hail insurance use of Swiss farmers, covering the period 1990-2009 using FADN panel data. Mixed effect logistic regression models are estimated to identify the most important farm and farmer characteristics that determine insurance use. In addition, information on...

Landwirte sind bei der Weizenernte mit einem beachtlichen Wetterrisiko in Form von Ernteverlusten konfrontiert. Dem kann mit einer höheren Maschinendichte entgegengewirkt werden, was jedoch zu höheren Maschinenkosten führt. Der vorliegende Tradeoff zwischen Maschinenkosten und Ernterisiken...