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module_for_agricultural_supply_at_regional_level

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module_for_agricultural_supply_at_regional_level [2020/03/13 11:31] – [Calibration of the regional programming models] matszmodule_for_agricultural_supply_at_regional_level [2020/03/13 11:32] – [Price depending crop yields and input coefficients] matsz
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 The current implementation features yield elasticities for cereals chosen as 0.3, and for oilseeds and potatoes chosen as 0.2. These estimates might be somewhat conservative when compared e.g. with Keeney and Hertel (2008). However, in CAPRI they relate to small scale regional units and single crops, and to European conditions which might be characterized by a combination of higher incentive for extensive management practises and dominance of rainfed agriculture where water might be a yield limiting factor. The current implementation features yield elasticities for cereals chosen as 0.3, and for oilseeds and potatoes chosen as 0.2. These estimates might be somewhat conservative when compared e.g. with Keeney and Hertel (2008). However, in CAPRI they relate to small scale regional units and single crops, and to European conditions which might be characterized by a combination of higher incentive for extensive management practises and dominance of rainfed agriculture where water might be a yield limiting factor.
-Currently, the code is set up as to only capture the effect of output prices. However, in order to spare calculation of the constant terms α, the actual code implemented in ‘//endog_yields.gms//’ change the yields iteratively in between iterations t, using relative changes:+ 
 +Currently, the code is set up as to only capture the effect of output prices. However, in order to spare calculation of the constant terms α, the actual code implemented in ‘//endog_yields.gms//’ change the yields iteratively in between iterations //t//, using relative changes:
  
 \begin{equation} \begin{equation}
module_for_agricultural_supply_at_regional_level.txt · Last modified: 2023/09/08 12:11 by massfeller

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