Merge pull request #717 from caviddhen/gdp2017

Update GDP to 2017 base year
magpiemodel · Oct 3, 2024 · 8ef5c64 · 8ef5c64
2 parents 59f0599 + 95feb29
commit 8ef5c64
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diff --git a/CHANGELOG.md b/CHANGELOG.md
@@ -6,6 +6,17 @@ The format is based on [Keep a Changelog](https://keepachangelog.com/en/1.0.0/).
 ## [Unreleased]
 
 ### changed
+- **inputdata** changed GDP base year from 2005USD to 2017USD
+- **config** changed default input data to use 2017USD
+- **module_documentation** all references to USD05 changed to USD17
+
+### added
+-
+
+### removed
+-
+
+### fixed
 - **11_costs** changed equation to fix bug in total water cost calculation 
 
 

diff --git a/DESCRIPTION b/DESCRIPTION
@@ -21,7 +21,7 @@ Imports:
     m4fsdp,
     madrat,
     magclass (>= 6.14.0),
-    magpie4 (>= 2.12.6),
+    magpie4 (>= 2.13.3),
     MagpieNCGains,
     magpiesets,
     mip,

diff --git a/config/default.cfg b/config/default.cfg
diff --git a/config/projects/scenario_config_el2.csv b/config/projects/scenario_config_el2.csv
@@ -19,5 +19,5 @@ gms$s15_exo_alcohol;1;1;1
 gms$s15_alc_scen;0;0;0
 gms$factor_costs;sticky_labor;sticky_labor;sticky_labor
 gms$c70_feed_scen;ssp1;ssp2;ssp2
-input['cellular'];rev4.111EL2_h12_c6a7458f_cellularmagpie_c200_IPSL-CM6A-LR-ssp370_lpjml-8e6c5eb1.tgz;;
+input['cellular'];rev4.112EL2_h12_c6a7458f_cellularmagpie_c200_IPSL-CM6A-LR-ssp370_lpjml-8e6c5eb1.tgz;;
 magicc_emis_scen;REMIND_generic_C_SSP2EU-DSPkB650-DS_betax_DeepDive_noNDC-rem-12.mif;REMIND_generic_C_SSP2EU-DSPkB650-DS_betax_DeepDive_noNDC-rem-12.mif;REMIND_generic_C_SSP2EU-DSPkB650-DS_betax_DeepDive_noNDC-rem-12.mif
diff --git a/config/projects/scenario_config_fsec.csv b/config/projects/scenario_config_fsec.csv
@@ -76,9 +76,9 @@ gms$s62_max_dem_bioplastic;0;;;;400;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;
 gms$c70_fac_req_regr;reg;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;
 gms$c70_feed_scen;;;;;;;;;;;;;;;;;;ssp1;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;
 gms$c73_build_demand;;;;;;;;;;;;;;;;;;;;;;;;50pc;;;;;;;;;;;;;;;;;;;;;;;;;;;
-input['cellular'];rev4.111_FSEC_3c888fa5_cellularmagpie_c200_MRI-ESM2-0-ssp460_lpjml-8e6c5eb1.tgz;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;rev4.111_FSEC_0bd54110_cellularmagpie_c200_MRI-ESM2-0-ssp119_lpjml-8e6c5eb1.tgz;rev4.111_FSEC_6819938d_cellularmagpie_c200_MRI-ESM2-0-ssp126_lpjml-8e6c5eb1.tgz;;rev4.111_FSEC_1b5c3817_cellularmagpie_c200_MRI-ESM2-0-ssp245_lpjml-8e6c5eb1.tgz;rev4.111_FSEC_3c888fa5_cellularmagpie_c200_MRI-ESM2-0-ssp460_lpjml-8e6c5eb1.tgz;rev4.111_FSEC_fd712c0b_cellularmagpie_c200_MRI-ESM2-0-ssp370_lpjml-8e6c5eb1.tgz;rev4.111_FSEC_09a63995_cellularmagpie_c200_MRI-ESM2-0-ssp585_lpjml-8e6c5eb1.tgz;;;
-input['regional'];rev4.111_FSEC_magpie.tgz;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;
-input['validation'];rev4.111_FSEC_validation.tgz;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;
-input['additional'];additional_data_rev4.51.tgz;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;
-input['calibration'];calibration_FSEC_26Mar24.tgz;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;
+input['cellular'];rev4.112_FSEC_3c888fa5_cellularmagpie_c200_MRI-ESM2-0-ssp460_lpjml-8e6c5eb1.tgz;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;rev4.112_FSEC_0bd54110_cellularmagpie_c200_MRI-ESM2-0-ssp119_lpjml-8e6c5eb1.tgz;rev4.112_FSEC_6819938d_cellularmagpie_c200_MRI-ESM2-0-ssp126_lpjml-8e6c5eb1.tgz;;rev4.112_FSEC_1b5c3817_cellularmagpie_c200_MRI-ESM2-0-ssp245_lpjml-8e6c5eb1.tgz;rev4.112_FSEC_3c888fa5_cellularmagpie_c200_MRI-ESM2-0-ssp460_lpjml-8e6c5eb1.tgz;rev4.112_FSEC_fd712c0b_cellularmagpie_c200_MRI-ESM2-0-ssp370_lpjml-8e6c5eb1.tgz;rev4.112_FSEC_09a63995_cellularmagpie_c200_MRI-ESM2-0-ssp585_lpjml-8e6c5eb1.tgz;;;
+input['regional'];rev4.112_FSEC_magpie.tgz;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;
+input['validation'];rev4.112_FSEC_validation.tgz;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;
+input['additional'];additional_data_rev4.57.tgz;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;
+input['calibration'];calibration_FSEC_27Sep24.tgz;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;
 magicc_emis_scen;bjoernAR6_C_SSP2-NDC.mif;;;bjoernAR6_C_SSP2-PkBudg900.mif;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;bjoernAR6_C_SSP1-NDC.mif;;;;;;;;;;;;bjoernAR6_C_RemSDP-900-MagSSP1.mif;;
diff --git a/config/scenario_config.csv b/config/scenario_config.csv
@@ -74,4 +74,4 @@ gms$c60_biodem_level;;;;;;;;;;;;;;;;;1;0;;;;;;;;;;;;
 gms$c60_res_2ndgenBE_dem;;;;ssp1;ssp2;ssp2;ssp3;ssp4;ssp5;sdp;ssp2;sdp;sdp;;;;;;;;;;;;;;;;;
 gms$c70_feed_scen;;;;ssp1;ssp2;ssp2;ssp3;ssp4;ssp5;ssp1;ssp5;ssp1;ssp1;;;;;;;;;;;;;;;;;
 gms$s73_timber_demand_switch;;;;;;;;;;;;;;;;;;;;;;1;1;0;;;;;;
-input['cellular'];;;;;;;;;;;;;;;;;;;;;;;;;rev4.111_h12_0bd54110_cellularmagpie_c200_MRI-ESM2-0-ssp119_lpjml-8e6c5eb1.tgz;rev4.111_h12_6819938d_cellularmagpie_c200_MRI-ESM2-0-ssp126_lpjml-8e6c5eb1.tgz;rev4.111_h12_1b5c3817_cellularmagpie_c200_MRI-ESM2-0-ssp245_lpjml-8e6c5eb1.tgz;rev4.111_h12_3c888fa5_cellularmagpie_c200_MRI-ESM2-0-ssp460_lpjml-8e6c5eb1.tgz;rev4.111_h12_fd712c0b_cellularmagpie_c200_MRI-ESM2-0-ssp370_lpjml-8e6c5eb1.tgz;rev4.111_h12_09a63995_cellularmagpie_c200_MRI-ESM2-0-ssp585_lpjml-8e6c5eb1.tgz
+input['cellular'];;;;;;;;;;;;;;;;;;;;;;;;;rev4.112_h12_0bd54110_cellularmagpie_c200_MRI-ESM2-0-ssp119_lpjml-8e6c5eb1.tgz;rev4.112_h12_6819938d_cellularmagpie_c200_MRI-ESM2-0-ssp126_lpjml-8e6c5eb1.tgz;rev4.112_h12_1b5c3817_cellularmagpie_c200_MRI-ESM2-0-ssp245_lpjml-8e6c5eb1.tgz;rev4.112_h12_3c888fa5_cellularmagpie_c200_MRI-ESM2-0-ssp460_lpjml-8e6c5eb1.tgz;rev4.112_h12_fd712c0b_cellularmagpie_c200_MRI-ESM2-0-ssp370_lpjml-8e6c5eb1.tgz;rev4.112_h12_09a63995_cellularmagpie_c200_MRI-ESM2-0-ssp585_lpjml-8e6c5eb1.tgz
diff --git a/literature.bib b/literature.bib
@@ -1698,3 +1698,13 @@ @article{jarvio_LCA_MP_2021
   keywords = {LCA, Food, Hydrogen-oxidizing bacteria, Cellular agriculture, Microbial protein},
   pages = {145764},
 }
+
+
+@techreport{budynski_straw_2020,
+  title = {Straw manufacturing in {Alberta}},
+  url = {https://open.alberta.ca/dataset/690317b0-1d07-4f9e-ae71-6340e16f6493/resource/89789096-1c7a-47ab-beb2-94d55606c922/},
+  language = {en},
+  institution = {Published by Alberta Agriculture and Forestry},
+  author = {Budynski, Stephanie},
+  year = {2020},
+}
diff --git a/main.gms b/main.gms
@@ -148,23 +148,23 @@ $title magpie
 
 *##################### R SECTION START (VERSION INFO) ##########################
 * 
-* Used data set: rev4.111_h12_magpie.tgz
+* Used data set: rev4.112_h12_magpie.tgz
 * md5sum: NA
 * Repository: https://rse.pik-potsdam.de/data/magpie/public
 * 
-* Used data set: rev4.111_h12_fd712c0b_cellularmagpie_c200_MRI-ESM2-0-ssp370_lpjml-8e6c5eb1.tgz
+* Used data set: rev4.112_h12_fd712c0b_cellularmagpie_c200_MRI-ESM2-0-ssp370_lpjml-8e6c5eb1.tgz
 * md5sum: NA
 * Repository: https://rse.pik-potsdam.de/data/magpie/public
 * 
-* Used data set: rev4.111_h12_validation.tgz
+* Used data set: rev4.112_h12_validation.tgz
 * md5sum: NA
 * Repository: https://rse.pik-potsdam.de/data/magpie/public
 * 
-* Used data set: additional_data_rev4.53.tgz
+* Used data set: additional_data_rev4.56.tgz
 * md5sum: NA
 * Repository: https://rse.pik-potsdam.de/data/magpie/public
 * 
-* Used data set: calibration_H12_26Mar24_fixed.tgz
+* Used data set: calibration_H12_27Sep24.tgz
 * md5sum: NA
 * Repository: https://rse.pik-potsdam.de/data/magpie/public
 * 
@@ -179,11 +179,11 @@ $title magpie
 * 
 * Regionscode: 62eff8f7
 * 
-* Regions data revision: 4.111
+* Regions data revision: 4.112
 * 
 * lpj2magpie settings:
 * * LPJmL data: MRI-ESM2-0:ssp370
-* * Revision: 4.111
+* * Revision: 4.112
 * 
 * aggregation settings:
 * * Input resolution: 0.5

diff --git a/modules/09_drivers/aug17/declarations.gms b/modules/09_drivers/aug17/declarations.gms
@@ -12,22 +12,22 @@ parameters
   i09_pop_raw(t_all,i,pop_gdp_scen09)          Population (mio. per yr)
 
 * GDP in MER
-  i09_gdp_mer_iso(t_all,iso)                   Income in market exchange rates (mio. USD05MER per yr)
-  im_gdp_pc_mer_iso(t_all,iso)                 Income in market exchange rates (mio. USD05MER per yr)
-  i09_gdp_mer_raw(t_all,i,pop_gdp_scen09)      Income in market exchange rates (mio. USD05MER per yr)
+  i09_gdp_mer_iso(t_all,iso)                   Income in market exchange rates (mio. USD17MER per yr)
+  im_gdp_pc_mer_iso(t_all,iso)                 Income in market exchange rates (mio. USD17MER per yr)
+  i09_gdp_mer_raw(t_all,i,pop_gdp_scen09)      Income in market exchange rates (mio. USD17MER per yr)
 
-  i09_gdp_pc_mer_raw(t_all,i,pop_gdp_scen09)       Per capita income in market exchange rates (USD05MER per cap per yr)
-  im_gdp_pc_mer(t_all,i)                           Per capita income in market exchange rates (USD05MER per cap per yr)
-  i09_gdp_pc_mer_iso_raw(t_all,iso,pop_gdp_scen09) Per capita income in market exchange rates (USD05MER per cap per yr)
+  i09_gdp_pc_mer_raw(t_all,i,pop_gdp_scen09)       Per capita income in market exchange rates (USD17MER per cap per yr)
+  im_gdp_pc_mer(t_all,i)                           Per capita income in market exchange rates (USD17MER per cap per yr)
+  i09_gdp_pc_mer_iso_raw(t_all,iso,pop_gdp_scen09) Per capita income in market exchange rates (USD17MER per cap per yr)
 
 * GDP in PPP
-  i09_gdp_ppp_iso(t_all,iso)                       Income in purchasing power parity (mio. USD05PPP per yr)
-  i09_gdp_ppp_raw(t_all,i,pop_gdp_scen09)          Income in purchasing power parity (mio. USD05PPP per yr)
-
-  i09_gdp_pc_ppp_raw(t_all,i,pop_gdp_scen09)       Per capita income in purchasing power parity (USD05PPP per cap per yr)
-  i09_gdp_pc_ppp_iso_raw(t_all,iso,pop_gdp_scen09) Per capita income in purchasing power parity (USD05PPP per cap per yr)
-  im_gdp_pc_ppp_iso(t_all,iso)                     Per capita income in purchasing power parity (USD05PPP per cap per yr)
+  i09_gdp_ppp_iso(t_all,iso)                       Income in purchasing power parity (mio. USD17PPP per yr)
+  i09_gdp_ppp_raw(t_all,i,pop_gdp_scen09)          Income in purchasing power parity (mio. USD17PPP per yr)
 
+  i09_gdp_pc_ppp_raw(t_all,i,pop_gdp_scen09)       Per capita income in purchasing power parity (USD17PPP per cap per yr)
+  i09_gdp_pc_ppp_iso_raw(t_all,iso,pop_gdp_scen09) Per capita income in purchasing power parity (USD17PPP per cap per yr)
+  im_gdp_pc_ppp_iso(t_all,iso)                     Per capita income in purchasing power parity (USD17PPP per cap per yr)
+
 * Development State
   im_development_state(t_all,i)                Development state according to the World Bank definition where 0=low income country 1=high income country in high income level  (1)
   im_physical_inactivity(t_all,iso,sex,age)    Share of population which is physically inactive (1)

diff --git a/modules/09_drivers/aug17/input.gms b/modules/09_drivers/aug17/input.gms
@@ -23,12 +23,12 @@ parameters
   sm_fix_cc                 year until which all parameters affected by cc are fixed to historical values (year) / 2025 /
 ;
 
-table f09_gdp_ppp_iso(t_all,iso,pop_gdp_scen09) Income in purchasing power parity (mio. USD05PPP per yr)
+table f09_gdp_ppp_iso(t_all,iso,pop_gdp_scen09) Income in purchasing power parity (mio. USD17PPP per yr)
 $ondelim
 $include "./modules/09_drivers/input/f09_gdp_ppp_iso.csv"
 $offdelim;
 
-table f09_gdp_mer_iso(t_all,iso,pop_gdp_scen09)  Income in market exchange rates (mio. USD05MER per yr)
+table f09_gdp_mer_iso(t_all,iso,pop_gdp_scen09)  Income in market exchange rates (mio. USD17MER per yr)
 $ondelim
 $include "./modules/09_drivers/input/f09_gdp_mer_iso.csv"
 $offdelim;
@@ -52,3 +52,10 @@ table f09_physical_inactivity(t_all,iso,pop_gdp_scen09,sex,age) Share of populat
 $ondelim
 $include "./modules/09_drivers/input/f09_physical_inactivity.cs3"
 $offdelim;
+
+parameter fm_gdp_defl_ppp(iso) GDP deflator
+/
+$ondelim
+$include "./modules/09_drivers/input/fm_gdp_defl_ppp.cs4"
+$offdelim
+/;
diff --git a/modules/09_drivers/input/files b/modules/09_drivers/input/files
@@ -6,3 +6,4 @@ f09_pop_iso.csv
 f09_urban_iso.csv
 f09_demography.cs3
 f09_physical_inactivity.cs3
+fm_gdp_defl_ppp.cs4
diff --git a/modules/10_land/landmatrix_dec18/declarations.gms b/modules/10_land/landmatrix_dec18/declarations.gms
@@ -19,7 +19,7 @@ positive variables
  vm_land(j,land)                             Land area of the different land types (mio. ha)
  vm_landexpansion(j,land)                    Land expansion (mio. ha)
  vm_landreduction(j,land)                   Land reduction (mio. ha)
- vm_cost_land_transition(j)                  Costs for lu transitions (mio. USD05MER per yr)
+ vm_cost_land_transition(j)                  Costs for lu transitions (mio. USD17MER per yr)
  vm_lu_transitions(j,land_from,land_to) Land transitions between time steps (mio. ha)
  v10_balance_positive(j)          Balance variable for land transitions (mio. ha)
  v10_balance_negative(j)          Balance variable for land transitions (mio. ha)
@@ -31,7 +31,7 @@ equations
  q10_transition_from(j,land_from)   Land transition constraint from (mio. ha)
  q10_landexpansion(j,land_to)       Land expansion constraint (mio. ha)
  q10_landreduction(j,land_from)     Land reduction constraint (mio. ha)
- q10_cost(j)                          Costs for lu transitions (mio. USD05MER per yr)
+ q10_cost(j)                          Costs for lu transitions (mio. USD17MER per yr)
  q10_landdiff                         Land difference constraint (mio. ha)
 ;
 
@@ -41,7 +41,7 @@ parameters
  ov_land(t,j,land,type)                        Land area of the different land types (mio. ha)
  ov_landexpansion(t,j,land,type)               Land expansion (mio. ha)
  ov_landreduction(t,j,land,type)               Land reduction (mio. ha)
- ov_cost_land_transition(t,j,type)             Costs for lu transitions (mio. USD05MER per yr)
+ ov_cost_land_transition(t,j,type)             Costs for lu transitions (mio. USD17MER per yr)
  ov_lu_transitions(t,j,land_from,land_to,type) Land transitions between time steps (mio. ha)
  ov10_balance_positive(t,j,type)               Balance variable for land transitions (mio. ha)
  ov10_balance_negative(t,j,type)               Balance variable for land transitions (mio. ha)
@@ -50,7 +50,7 @@ parameters
  oq10_transition_from(t,j,land_from,type)      Land transition constraint from (mio. ha)
  oq10_landexpansion(t,j,land_to,type)          Land expansion constraint (mio. ha)
  oq10_landreduction(t,j,land_from,type)        Land reduction constraint (mio. ha)
- oq10_cost(t,j,type)                           Costs for lu transitions (mio. USD05MER per yr)
+ oq10_cost(t,j,type)                           Costs for lu transitions (mio. USD17MER per yr)
  oq10_landdiff(t,type)                         Land difference constraint (mio. ha)
 ;
 *##################### R SECTION END (OUTPUT DECLARATIONS) #####################
diff --git a/modules/10_land/landmatrix_dec18/input.gms b/modules/10_land/landmatrix_dec18/input.gms
@@ -6,7 +6,7 @@
 *** |  Contact: [email protected]
 
 scalars
-  s10_cost_balance Artificial cost for balance variable (USD05MER per ha) / 1e+06 /
+  s10_cost_balance Artificial cost for balance variable (USD17MER per ha) / 1e+06 /
 ;
 
 table f10_land(t_ini10,j,land) Different land type areas (mio. ha)

diff --git a/modules/10_land/landmatrix_dec18/scaling.gms b/modules/10_land/landmatrix_dec18/scaling.gms
@@ -6,3 +6,5 @@
 *** |  Contact: [email protected]
 
 vm_landdiff.scale = 10e3;
+v10_balance_positive.scale(j) = 10e-10;
+v10_balance_negative.scale(j) = 10e-10;
diff --git a/modules/11_costs/default/declarations.gms b/modules/11_costs/default/declarations.gms
@@ -6,20 +6,20 @@
 *** |  Contact: [email protected]
 
 variables
- vm_cost_glo                     Total costs of production (mio. USD05MER per yr)
- v11_cost_reg(i)                 Regional costs            (mio. USD05MER per yr)
+ vm_cost_glo                     Total costs of production (mio. USD17MER per yr)
+ v11_cost_reg(i)                 Regional costs            (mio. USD17MER per yr)
 ;
 
 equations
- q11_cost_glo                    Objective function        (mio. USD05MER per yr)
- q11_cost_reg(i)                 Regional cost constraint  (mio. USD05MER per yr)
+ q11_cost_glo                    Objective function        (mio. USD17MER per yr)
+ q11_cost_reg(i)                 Regional cost constraint  (mio. USD17MER per yr)
 ;
 
 *#################### R SECTION START (OUTPUT DECLARATIONS) ####################
 parameters
- ov_cost_glo(t,type)     Total costs of production (mio. USD05MER per yr)
- ov11_cost_reg(t,i,type) Regional costs            (mio. USD05MER per yr)
- oq11_cost_glo(t,type)   Objective function        (mio. USD05MER per yr)
- oq11_cost_reg(t,i,type) Regional cost constraint  (mio. USD05MER per yr)
+ ov_cost_glo(t,type)     Total costs of production (mio. USD17MER per yr)
+ ov11_cost_reg(t,i,type) Regional costs            (mio. USD17MER per yr)
+ oq11_cost_glo(t,type)   Objective function        (mio. USD17MER per yr)
+ oq11_cost_reg(t,i,type) Regional cost constraint  (mio. USD17MER per yr)
 ;
 *##################### R SECTION END (OUTPUT DECLARATIONS) #####################
diff --git a/modules/13_tc/endo_jan22/declarations.gms b/modules/13_tc/endo_jan22/declarations.gms
@@ -7,33 +7,33 @@
 
 positive variable
  vm_tau(h,tautype)                   Agricultural land use intensity tau (1)
- vm_tech_cost(i)                     Total Annuitized costs of TC (mio. USD05PPP per yr)
- v13_cost_tc(i,tautype)              Technical change costs per region (mio. USD05PPP)
- v13_tech_cost(i,tautype)            Annuitized costs of TC for crops and pasture (mio. USD05PPP per yr)
+ vm_tech_cost(i)                     Total Annuitized costs of TC (mio. USD17MER per yr)
+ v13_cost_tc(i,tautype)              Technical change costs per region (mio. USD17MER)
+ v13_tech_cost(i,tautype)            Annuitized costs of TC for crops and pasture (mio. USD17MER per yr)
 ;
 
 equations
- q13_tech_cost(i, tautype)            Total annuitized costs for TC (mio. USD05PPP)
- q13_cost_tc(i, tautype)              Costs for TC (mio. USD05PPP per yr)
- q13_tech_cost_sum(i)                 Total Total annuitized costs for TC (mio. USD05PPP per yr)
+ q13_tech_cost(i, tautype)            Total annuitized costs for TC (mio. USD17MER)
+ q13_cost_tc(i, tautype)              Costs for TC (mio. USD17MER per yr)
+ q13_tech_cost_sum(i)                 Total Total annuitized costs for TC (mio. USD17MER per yr)
 ;
 
 parameters
  pc13_land(i, tautype)                Crop and grass land area per region (mio ha)
  pcm_tau(h, tautype)                  Tau factor of the previous time step (1)
  pc13_tcguess(h, tautype)             Guess for annual tc rates in the next time step (1)
- i13_tc_factor(t)                     Regression factor (USD05PPP per ha)
+ i13_tc_factor(t)                     Regression factor (USD17MER per ha)
  i13_tc_exponent(t)                   Regression exponent (1)
 ;
 
 *#################### R SECTION START (OUTPUT DECLARATIONS) ####################
 parameters
  ov_tau(t,h,tautype,type)         Agricultural land use intensity tau (1)
- ov_tech_cost(t,i,type)           Total Annuitized costs of TC (mio. USD05PPP per yr)
- ov13_cost_tc(t,i,tautype,type)   Technical change costs per region (mio. USD05PPP)
- ov13_tech_cost(t,i,tautype,type) Annuitized costs of TC for crops and pasture (mio. USD05PPP per yr)
- oq13_tech_cost(t,i,tautype,type) Total annuitized costs for TC (mio. USD05PPP)
- oq13_cost_tc(t,i,tautype,type)   Costs for TC (mio. USD05PPP per yr)
- oq13_tech_cost_sum(t,i,type)     Total Total annuitized costs for TC (mio. USD05PPP per yr)
+ ov_tech_cost(t,i,type)           Total Annuitized costs of TC (mio. USD17MER per yr)
+ ov13_cost_tc(t,i,tautype,type)   Technical change costs per region (mio. USD17MER)
+ ov13_tech_cost(t,i,tautype,type) Annuitized costs of TC for crops and pasture (mio. USD17MER per yr)
+ oq13_tech_cost(t,i,tautype,type) Total annuitized costs for TC (mio. USD17MER)
+ oq13_cost_tc(t,i,tautype,type)   Costs for TC (mio. USD17MER per yr)
+ oq13_tech_cost_sum(t,i,type)     Total Total annuitized costs for TC (mio. USD17MER per yr)
 ;
 *##################### R SECTION END (OUTPUT DECLARATIONS) #####################
diff --git a/modules/13_tc/endo_jan22/input.gms b/modules/13_tc/endo_jan22/input.gms
@@ -27,7 +27,7 @@ $offdelim
 
 $setglobal c13_tccost  medium
 
-table f13_tc_factor(t_all,scen13) Regression factor (USD05PPP per ha)
+table f13_tc_factor(t_all,scen13) Regression factor (USD17MER per ha)
 $ondelim
 $include "./modules/13_tc/input/f13_tc_factor.cs3"
 $offdelim

diff --git a/modules/13_tc/exo/declarations.gms b/modules/13_tc/exo/declarations.gms
@@ -7,21 +7,21 @@
 
 positive variable
  vm_tau(h,tautype)           Agricultural land use intensity tau (1)
- vm_tech_cost(i)             Costs of TC (mio. USD05PPP per yr)
+ vm_tech_cost(i)             Costs of TC (mio. USD17MER per yr)
 ;
 
 parameters
- p13_cost_tc(i,tautype)      Technical change costs per region (mio. USD05PPP)
+ p13_cost_tc(i,tautype)      Technical change costs per region (mio. USD17MER)
  pc13_land(i,tautype)        Crop and grass land area per region (mio ha)
  pcm_tau(h,tautype)          Tau factor of the previous time step (1)
- i13_tc_factor(t)            Regression factor (USD05PPP per ha)
+ i13_tc_factor(t)            Regression factor (USD17MER per ha)
  i13_tc_exponent(t)          Regression exponent (1)
- p13_tech_cost(i,tautype)    Annuitized costs of TC for crops and pasture (mio. USD05PPP per yr)
+ p13_tech_cost(i,tautype)    Annuitized costs of TC for crops and pasture (mio. USD17MER per yr)
 ;
 
 *#################### R SECTION START (OUTPUT DECLARATIONS) ####################
 parameters
  ov_tau(t,h,tautype,type) Agricultural land use intensity tau (1)
- ov_tech_cost(t,i,type)   Costs of TC (mio. USD05PPP per yr)
+ ov_tech_cost(t,i,type)   Costs of TC (mio. USD17MER per yr)
 ;
 *##################### R SECTION END (OUTPUT DECLARATIONS) #####################