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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 [2020/03/31 07:12] – [Detailed discussion of the equations in the supply model] matsz
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 Where “asym” is the land asymptote, i.e. the maximal amount of economically usable agricultural area in a region when the agricultural land rent goes towards infinity. For an application where the land market is used see Renwick et al. (2013). Where “asym” is the land asymptote, i.e. the maximal amount of economically usable agricultural area in a region when the agricultural land rent goes towards infinity. For an application where the land market is used see Renwick et al. (2013).
  
-Set aside policies have changed frequently during CAP reforms. The recent specification is covered in the context of the premium modelling in Section 5.3 FIXME . The obligatory set-aside restriction introduced by the McSharry reform 1992 and valid until the implementation of the Luxembourg compromise of June 2003 has been explicitly modelled through this equation:+Set aside policies have changed frequently during CAP reforms. The recent specification is covered in the context of the premium modelling in Section [[Premium module]]. The obligatory set-aside restriction introduced by the McSharry reform 1992 and valid until the implementation of the Luxembourg compromise of June 2003 has been explicitly modelled through this equation:
  
 \begin{align} \begin{align}
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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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