Showing 1 - 10 of 13
We investigate biases in farm-level yield risk analysis caused by data aggregation from the farm-level to regional and national levels using the example of Swiss wheat and barley yields. The estimated yield variability decreases significantly with increasing level of aggregation, with crop yield...
Persistent link: https://www.econbiz.de/10011250310
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...
Persistent link: https://www.econbiz.de/10009326136
Production and price risks affect optimal nitrogen use as well as the effects of nitrogen taxation if farmers’ risk aversion is taken into account. Our empirical analysis for Swiss maize production shows that risk-aversion leads to lower levels of nitrogen application, and nitrogen taxes lead...
Persistent link: https://www.econbiz.de/10009326432
An adequate representation of the technological trend component of yield time series is of crucial importance for the successful design of risk management instruments. However, for many transition and developing countries, the estimation of the technological trend is complicated by the joint...
Persistent link: https://www.econbiz.de/10011125296
Persistent link: https://www.econbiz.de/10011068728
The level of natural hedge, i.e. the (negative) correlation between price and yield levels, is an important determinant for farmers’ income risks and their demand for risk management instruments. The natural hedge is often approximated with correlations observed at more aggregated levels, e.g....
Persistent link: https://www.econbiz.de/10011069158
Risk management strategies are of increasing importance in agriculture. An important question is, what type of risk management strategies are required to reduce farmers’ income risks. Applying a variance decomposition approach using data of more than 3000 Swiss farms over a five year time...
Persistent link: https://www.econbiz.de/10011069659
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...
Persistent link: https://www.econbiz.de/10010879319
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...
Persistent link: https://www.econbiz.de/10009442625
A model that integrates biophysical simulations in an economic model is used to analyze the impact of climate change on crop production. The biophysical model simulates future plant-management-climate relationships and the economic model simulates farmers' adaptation actions to climate change...
Persistent link: https://www.econbiz.de/10004989240