@article{Finger:9270,
      recid = {9270},
      author = {Finger, Robert and Schmid, Stephanie},
      title = {Modeling agricultural production risk and the adaptation  to climate change},
      address = {2007},
      number = {686-2016-47118},
      series = {Seminar Paper},
      pages = {21},
      year = {2007},
      abstract = {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 using a nonlinear programming approach.  Beyond the development of average yields, special attention  is devoted to the impact of climate change on crop yield  variability.
This study analyzes corn and winter wheat  production on the Swiss Plateau with respect to climate  change scenarios that cover the period of 2030-2050. In our  model, adaptation options such as changes in seeding dates,  changes in production intensity and the adoption of  irrigation farming are considered. Different scenarios of  climate change, output prices and farmers' risk aversion  are applied in order to show the sensitivity of adaptation  strategies and crop yields, respectively, on these  factors.
Our results show that adaptation actions, yields  and yield variation highly depend on both climate change  and output prices. The sensitivity of adaptation options  and yields, respectively, to prices and risk aversion for  winter wheat is much lower than for corn because of  different growing periods. In general, our results show  that both corn and winter wheat yields increase in the next  decades. In contrast to other studies, we find the  coefficient of variation of corn and winter wheat yields to  decrease. We therefore conclude that simple adaptation  measures are sufficient to take advantage of climate change  in Swiss crop farming.},
      url = {http://ageconsearch.umn.edu/record/9270},
      doi = {https://doi.org/10.22004/ag.econ.9270},
}