Differences

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--- baseline_generation [2020/05/08 12:59] – bogonosm
+++ baseline_generation [2020/06/02 16:35] – matsz
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 ===Constraints relating to market balances and yields===
-Closed market balances (CAPTRD eq. MBAL_) define the first set of constraints and state that the sum of imports (IMPT) and production (GROF) must be equal to the sum of feed (FEDM) and seed (SEDM) use, human consumption (HCOM), processing (INDM,PRCM,BIOF), losses (LOSM) and exports (EXPT):
+Closed market balances (CAPTRD eq. MBAL_ ) define the first set of constraints and state that the sum of imports (IMPT) and production (GROF) must be equal to the sum of feed (FEDM) and seed (SEDM) use, human consumption (HCOM), processing (INDM,PRCM,BIOF), losses (LOSM) and exports (EXPT):
 \begin{align}
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 //Data balancing for the simulation year// \\
 Aim of data calibration for the simulation year aims at generating such quantity, price and other market values (see list below) for the simulation year that they fit the system of equations of the market module and variable and parameter lower and upper bounds, as well as remain as close as possible to the values to which they are calibrated (e.g., trends, estimated with growth rates from the base year, Aglink-COSIMO values, GLOBIOM values etc.). Thus process, basically, follows similar approach as for the base year. There are, however, a few differences. The main is that the model used for calibration is MODEL m_calMarketFin. As the model for base year calibration (MODEL m_calMarketBas), it is defined in cal_models.gms file and includes similar equations of the market model with the exception of NSSQ_ equation. The latter equation is replaced by NSSQ1_. Its major difference from NSSQ_ is that DATA parameter includes not values of the base year, but values projected in trend generation step for some of the factors and values shifted to the simulation year based on assumptions or growth rates for the other factors. Thus, it is used for minimizing the differences between estimated and projected (with trend generation step or growth rates) values of the variables in question. Another difference of NSSQ1_ with NSSQ_ is that it includes the differences in intervention stock changes and excludes the differences in consumer prices and gaps between producer and market prices.