@article{MacEwan:124331,
      recid = {124331},
      author = {MacEwan, Duncan and Howitt, Richard E.},
      title = {Behavioral Salinity Response: Estimating Salinity Policies  from Remote Sensed Micro-Data},
      address = {2012-02},
      number = {423-2016-27052},
      pages = {28},
      year = {2012},
      abstract = {In arid regions, including Australia's Murray-Darling  basin and California's Central Valley, increasing salinity  is a problem affecting agriculture, regional economies,  urban areas, and the environment. The direct costs of  salinity to agriculture in the Murray-Darling basin and  California’s Central Valley are on the order of $500  million per year. Policymakers want to design policies to  effectively manage salinity and, as such, need to  understand how farmers respond to changing salinity levels.  Reduced crop yields account for the largest direct cost of  salinity to agriculture however farmers are able to  mitigate effects through field management. Consequently,  there is a difference between experimentally estimated  yield-salinity functions and those which result from farmer  behavioral response to salinity. The latter are relevant  for salinity policy analysis and, to our knowledge, have  not previously been estimated in the literature. We model  farmers as profit-maximizing crop portfolio managers and  estimate the behavioral yield-salinity functions for 6 crop  groups using geo-referenced field data. We find behavioral  yield-salinity functions are close to those generated in  experimental settings but costs using experimental  functions understate the costs of salinity.},
      url = {http://ageconsearch.umn.edu/record/124331},
      doi = {https://doi.org/10.22004/ag.econ.124331},
}