@article{Dayde:183036,
      recid = {183036},
      author = {Dayde, Charlotte and Roussy, Caroline and Chaib, Karim and  Ridier, Aude},
      title = {Risk, labour and climatic uncertainty in crop rotation  optimization},
      address = {2014-08},
      number = {727-2016-50364},
      pages = {6},
      year = {2014},
      abstract = {The goal of this article is to give some guidelines when  modeling farmers’ rotation choices
through optimization  models. To improve the accuracy of such models, researchers  can i)
sophisticate the utility function or ii) specify the  production function and the constraints of the
model. Based  on an interactive approach involving farmers, a preliminary  discrete determinist
model is built and tested under  changing crops prices. Then, two discrete stochastic  modeling
approaches are compared; in the first one, yield  risk is accounted as main source of income
variability and,  in the second one, risk is incorporated as a stochastic  constraint of monthly
inaccessible field days. Results show  that risk aversion little affects rotation choice.  A
stochastic labour constraint accounting for field  inaccessibility has considerable more impact
on crops  choice, especially in presence of imperfect labour market.},
      url = {http://ageconsearch.umn.edu/record/183036},
      doi = {https://doi.org/10.22004/ag.econ.183036},
}