R/zchunk_L240.ag_trade.R
In JGCRI/gcamdata: Build the GCAM Input Datasets
Defines functions
module_aglu_L240.ag_trade
Documented in
module_aglu_L240.ag_trade
# Copyright 2019 Battelle Memorial Institute; see the LICENSE file.
#' module_aglu_L240.ag_trade
#'
#' Model input for regional and (globally) traded agricultural crops and livestock commodities
#'
#' @param command API command to execute
#' @param ... other optional parameters, depending on command
#' @return Depends on \code{command}: either a vector of required inputs, a vector of output names, or (if
#' \code{command} is "MAKE") all the generated outputs: \code{L240.Supplysector_tra},
#' \code{L240.SectorUseTrialMarket_tra}, \code{L240.SubsectorAll_tra}, \code{L240.TechShrwt_tra},
#' \code{L240.TechCost_tra}, \code{L240.TechCoef_tra}, \code{L240.Production_tra}, \code{L240.Supplysector_reg},
#' \code{L240.SubsectorAll_reg}, \code{L240.TechShrwt_reg}, \code{L240.TechCoef_reg}, \code{L240.Production_reg_imp},
#' \code{L240.Production_reg_dom}.
#' @details Build datasets for ssp4 agricultural trade: food and nonfood trade coefficients, feed trade
#' coefficients, restricted agricultural trade, and trade regions.
#' @importFrom assertthat assert_that
#' @importFrom dplyr filter if_else left_join mutate rename select
#' @importFrom tidyr replace_na
#' @importFrom tibble tibble
#' @author GPK February 2019 XZ March 2020
module_aglu_L240.ag_trade <- function(command, ...) {
if(command == driver.DECLARE_INPUTS) {
return(c(FILE = "common/GCAM_region_names",
FILE = "aglu/A_agRegionalSector",
FILE = "aglu/A_agRegionalSubsector",
FILE = "aglu/A_agRegionalTechnology",
FILE = "aglu/A_agTradedSector",
FILE = "aglu/A_agTradedSubsector",
FILE = "aglu/A_agTradedTechnology",
FILE = "common/iso_GCAM_regID",
"L109.ag_ALL_Mt_R_C_Y",
"L109.an_ALL_Mt_R_C_Y",
"L110.For_ALL_bm3_R_Y",
"L100.FAO_For_Exp_m3",
"L1091.GrossTrade_Mt_R_C_Y"))
} else if(command == driver.DECLARE_OUTPUTS) {
return(c("L240.Supplysector_tra",
"L240.SectorUseTrialMarket_tra",
"L240.SubsectorAll_tra",
"L240.TechShrwt_tra",
"L240.TechCost_tra",
"L240.TechCoef_tra",
"L240.Production_tra",
"L240.Supplysector_reg",
"L240.SubsectorAll_reg",
"L240.TechShrwt_reg",
"L240.TechCoef_reg",
"L240.Production_reg_imp",
"L240.Production_reg_dom"))
} else if(command == driver.MAKE) {
all_data <- list(...)[[1]]
year <- region <- supplysector <- subsector <- GCAM_commodity <- GrossExp_Mt <-
calOutputValue <- subs.share.weight <- market.name <- minicam.energy.input <-
GrossImp_Mt <- Prod_Mt <- GCAM_region_ID <- NetExp_Mt <- Prod_bm3 <-
NetExp_bm3 <- value <- flow <- GrossExp <- NULL # silence package check notes
# Load required inputs
GCAM_region_names <- get_data(all_data, "common/GCAM_region_names")
A_agRegionalSector <- get_data(all_data, "aglu/A_agRegionalSector", strip_attributes = TRUE)
A_agRegionalSubsector <- get_data(all_data, "aglu/A_agRegionalSubsector", strip_attributes = TRUE)
A_agRegionalTechnology <- get_data(all_data, "aglu/A_agRegionalTechnology", strip_attributes = TRUE)
A_agTradedSector <- get_data(all_data, "aglu/A_agTradedSector", strip_attributes = TRUE)
A_agTradedSubsector <- get_data(all_data, "aglu/A_agTradedSubsector", strip_attributes = TRUE)
A_agTradedTechnology <- get_data(all_data, "aglu/A_agTradedTechnology", strip_attributes = TRUE)
L109.ag_ALL_Mt_R_C_Y <- get_data(all_data, "L109.ag_ALL_Mt_R_C_Y")
L109.an_ALL_Mt_R_C_Y <- get_data(all_data, "L109.an_ALL_Mt_R_C_Y")
iso_GCAM_regID <- get_data(all_data, "common/iso_GCAM_regID")
L110.For_ALL_bm3_R_Y <- get_data(all_data, "L110.For_ALL_bm3_R_Y")
L100.FAO_For_Exp_m3 <- get_data(all_data, "L100.FAO_For_Exp_m3")
L1091.GrossTrade_Mt_R_C_Y <- get_data(all_data, "L1091.GrossTrade_Mt_R_C_Y")
# 0: Bind crops, livestock, and forest for prod and netexp
L109.ag_an_for_ALL_Mt_R_C_Y <- L109.ag_ALL_Mt_R_C_Y %>%
select(GCAM_region_ID, GCAM_commodity, year, Prod_Mt, NetExp_Mt) %>%
bind_rows(L109.an_ALL_Mt_R_C_Y %>%
select(GCAM_region_ID, GCAM_commodity, year, Prod_Mt, NetExp_Mt)) %>%
bind_rows(L110.For_ALL_bm3_R_Y %>%
filter(GCAM_commodity %in% aglu.TRADED_FORESTS) %>%
select(GCAM_region_ID, GCAM_commodity, year,
Prod_Mt = Prod_bm3, NetExp_Mt = NetExp_bm3)) #note that physical unit for forest data is bm3
# Adding forest trade data in L1091.GrossTrade_Mt_R_C_Y. Note that bilateral trade data are not used for now.
# FAO does not provide primary roundwood bilateral trade data. We use export data to back calculate gross trade.
# replace_na here only affect Taiwan, which we did not have trade data.
L1091.GrossTrade_Mt_R_C_Y <- L1091.GrossTrade_Mt_R_C_Y %>%
bind_rows(L110.For_ALL_bm3_R_Y %>%
left_join(
L100.FAO_For_Exp_m3 %>%
mutate(GCAM_region_ID = left_join_error_no_match(L100.FAO_For_Exp_m3, iso_GCAM_regID, by = c("iso"))[['GCAM_region_ID']],
GCAM_commodity = "Forest", # add the forest commodity label
value = CONV_M3_BM3 * value, # convert the value units from m3 to bm3, had to add this constant to constants.R
flow = "GrossExp") %>%
select(GCAM_region_ID, GCAM_commodity, flow, year, value) %>%
group_by(GCAM_region_ID, GCAM_commodity, flow, year) %>%
summarise(value = sum(value)) %>%
ungroup() %>%
spread(flow, value),
by = c("GCAM_region_ID", "GCAM_commodity", "year")) %>%
replace_na(list(GrossExp = 0)) %>%
filter(GCAM_commodity %in% aglu.TRADED_FORESTS) %>%
mutate(GrossImp_Mt = if_else(GrossExp - NetExp_bm3 > 0, GrossExp - NetExp_bm3, 0),
GrossExp_Mt = if_else(GrossExp - NetExp_bm3 > 0, GrossExp, NetExp_bm3)) %>%
select(names(L1091.GrossTrade_Mt_R_C_Y)) )
# 1. TRADED SECTOR / SUBSECTOR / TECHNOLOGY")
# L240.Supplysector_tra: generic supplysector info for traded ag commodities
# By convention, traded commodity information is contained within the USA region (could be within any)
A_agTradedSector$region <- gcam.USA_REGION
# L240.Supplysector_tra: generic supplysector info for traded ag commodities
L240.Supplysector_tra <- mutate(A_agTradedSector, logit.year.fillout = min(MODEL_BASE_YEARS)) %>%
select(c(LEVEL2_DATA_NAMES[["Supplysector"]], "logit.type"))
# L240.SectorUseTrialMarket_tra: Create solved markets for the traded sectors
L240.SectorUseTrialMarket_tra <- select(A_agTradedSector, region, supplysector) %>%
mutate(use.trial.market = 1)
# L240.SubsectorAll_tra: generic subsector info for traded ag commodities
# Traded commodities have the region set to USA and the subsector gets the region name pre-pended
L240.SubsectorAll_tra <- write_to_all_regions(A_agTradedSubsector,
c(LEVEL2_DATA_NAMES[["SubsectorAll"]], "logit.type"),
filter(GCAM_region_names, !region %in% aglu.NO_AGLU_REGIONS),
has_traded = TRUE)
# Base technology-level table for several tables to be written out")
A_agTradedTechnology_R_Y <- repeat_add_columns(A_agTradedTechnology,
tibble(year = MODEL_YEARS)) %>%
repeat_add_columns(filter(GCAM_region_names, !region %in% aglu.NO_AGLU_REGIONS)) %>%
mutate(subsector = paste(region, subsector, sep = " "),
technology = subsector,
market.name = region,
region = gcam.USA_REGION)
# L240.TechShrwt_tra: Share-weights of traded technologies
L240.TechShrwt_tra <- select(A_agTradedTechnology_R_Y, LEVEL2_DATA_NAMES[["TechShrwt"]])
# L240.TechCost_tra: Costs of traded technologies
L240.TechCost_tra <- A_agTradedTechnology_R_Y %>%
mutate(minicam.non.energy.input = "trade costs") %>%
select(LEVEL2_DATA_NAMES[["TechCost"]])
# L240.TechCoef_tra: Coefficient and market name of traded technologies
L240.TechCoef_tra <- select(A_agTradedTechnology_R_Y, LEVEL2_DATA_NAMES[["TechCoef"]])
# L240.Production_tra: Output (gross exports) of traded technologies
L240.GrossExports_Mt_R_C_Y <- left_join_error_no_match(L1091.GrossTrade_Mt_R_C_Y,
GCAM_region_names,
by = "GCAM_region_ID") %>%
select(region, GCAM_commodity, year, GrossExp_Mt)
L240.Production_tra <- filter(A_agTradedTechnology_R_Y, year %in% MODEL_BASE_YEARS) %>%
left_join_error_no_match(L240.GrossExports_Mt_R_C_Y,
by = c(market.name = "region", minicam.energy.input = "GCAM_commodity", "year")) %>%
rename(calOutputValue = GrossExp_Mt) %>%
mutate(share.weight.year = year,
subs.share.weight = if_else(calOutputValue > 0, 1, 0),
tech.share.weight = subs.share.weight) %>%
select(LEVEL2_DATA_NAMES[["Production"]])
# PART 2: DOMESTIC SUPPLY SECTOR / SUBSECTOR / TECHNOLOGY")
# L240.Supplysector_reg: generic supplysector info for regional ag commodities
L240.Supplysector_reg <- mutate(A_agRegionalSector, logit.year.fillout = min(MODEL_BASE_YEARS)) %>%
write_to_all_regions(c(LEVEL2_DATA_NAMES[["Supplysector"]], "logit.type"),
filter(GCAM_region_names, !region %in% aglu.NO_AGLU_REGIONS))
# L240.SubsectorAll_reg: generic subsector info for regional ag commodities (competing domestic prod vs intl imports)
L240.SubsectorAll_reg <- write_to_all_regions(A_agRegionalSubsector,
c(LEVEL2_DATA_NAMES[["SubsectorAll"]], "logit.type"),
filter(GCAM_region_names, !region %in% aglu.NO_AGLU_REGIONS))
# Base technology-level table for several tables to be written out")
A_agRegionalTechnology_R_Y <- repeat_add_columns(A_agRegionalTechnology,
tibble(year = MODEL_YEARS)) %>%
repeat_add_columns(filter(GCAM_region_names["region"], !region %in% aglu.NO_AGLU_REGIONS)) %>%
mutate(market.name = if_else(market.name == "regional", region, market.name))
# L240.TechShrwt_tra: Share-weights of traded technologies
L240.TechShrwt_reg <- select(A_agRegionalTechnology_R_Y, LEVEL2_DATA_NAMES[["TechShrwt"]])
# L240.TechCoef_reg: Coefficient and market name of traded technologies
L240.TechCoef_reg <- select(A_agRegionalTechnology_R_Y, LEVEL2_DATA_NAMES[["TechCoef"]])
# L240.Production_reg_imp: Output (flow) of gross imports
# Imports are equal to the gross imports calculated in L1091
L240.GrossImports_Mt_R_C_Y <- left_join_error_no_match(L1091.GrossTrade_Mt_R_C_Y,
GCAM_region_names,
by = "GCAM_region_ID") %>%
left_join(select(A_agTradedTechnology, supplysector, minicam.energy.input),
by = c(GCAM_commodity = "minicam.energy.input")) %>%
select(region, supplysector, year, GrossImp_Mt)
L240.Production_reg_imp <- A_agRegionalTechnology_R_Y %>%
filter(year %in% MODEL_BASE_YEARS,
grepl( "import", subsector)) %>%
left_join_error_no_match(L240.GrossImports_Mt_R_C_Y,
by = c("region", minicam.energy.input = "supplysector", "year")) %>%
rename(calOutputValue = GrossImp_Mt) %>%
mutate(share.weight.year = year,
subs.share.weight = if_else(calOutputValue > 0, 1, 0),
tech.share.weight = subs.share.weight) %>%
select(LEVEL2_DATA_NAMES[["Production"]])
# L240.Production_reg_dom: Output (flow) of domestic
# Domestic "output" is equal to production (Prod_Mt in L109) minus gross exports (calculated in L1091)
#### DOMESTIC TECHNOLOGY OUTPUT = AG PRODUCTION - GROSS EXPORTS
L240.GrossExports_Mt_R_C_Y <- left_join_error_no_match(L1091.GrossTrade_Mt_R_C_Y,
GCAM_region_names,
by = "GCAM_region_ID") %>%
select(region, GCAM_commodity, year, GrossExp_Mt)
L240.Prod_Mt_R_C_Y <- left_join_error_no_match(L109.ag_an_for_ALL_Mt_R_C_Y,
GCAM_region_names,
by = "GCAM_region_ID") %>%
select(region, GCAM_commodity, year, Prod_Mt)
L240.Production_reg_dom <- A_agRegionalTechnology_R_Y %>%
filter(year %in% MODEL_BASE_YEARS,
grepl( "domestic", subsector)) %>%
left_join_error_no_match(L240.GrossExports_Mt_R_C_Y,
by = c("region", minicam.energy.input = "GCAM_commodity", "year")) %>%
left_join_error_no_match(L240.Prod_Mt_R_C_Y,
by = c("region", minicam.energy.input = "GCAM_commodity", "year")) %>%
mutate(calOutputValue = Prod_Mt - GrossExp_Mt,
share.weight.year = year,
subs.share.weight = if_else(calOutputValue > 0, 1, 0),
tech.share.weight = subs.share.weight) %>%
select(LEVEL2_DATA_NAMES[["Production"]])
# Produce outputs
L240.Supplysector_tra %>%
add_title("Supplysector info for traded ag commodities") %>%
add_units("None") %>%
add_comments("We remove any regions for which agriculture and land use are not modeled.") %>%
add_precursors("common/GCAM_region_names",
"aglu/A_agTradedSector") ->
L240.Supplysector_tra
L240.SectorUseTrialMarket_tra %>%
add_title("Supplysector flag indicating to make trial markets") %>%
add_units("None") %>%
add_comments("This helps model solution when running with ag trade") %>%
add_precursors("common/GCAM_region_names",
"aglu/A_agTradedSector") ->
L240.SectorUseTrialMarket_tra
L240.SubsectorAll_tra %>%
add_title("Subsector info for traded ag commodities") %>%
add_units("None") %>%
add_comments("We remove any regions for which agriculture and land use are not modeled.") %>%
add_precursors("common/GCAM_region_names",
"aglu/A_agTradedSubsector") ->
L240.SubsectorAll_tra
L240.TechShrwt_tra %>%
add_title("Technology share-weights for traded ag commodities") %>%
add_units("None") %>%
add_comments("We remove any regions for which agriculture and land use are not modeled.") %>%
add_precursors("common/GCAM_region_names",
"aglu/A_agTradedTechnology") ->
L240.TechShrwt_tra
L240.TechCost_tra %>%
add_title("Technology costs for traded ag commodities") %>%
add_units("1975$/kg") %>%
add_comments("Exogenous cost to reflect shipping + handling of traded commodities") %>%
add_precursors("common/GCAM_region_names",
"aglu/A_agTradedTechnology") ->
L240.TechCost_tra
L240.TechCoef_tra %>%
add_title("Technology input-output coefficients for traded ag commodities") %>%
add_units("Unitless IO") %>%
add_comments("Pass-through; 1 unless some portion is assumed lost/spoiled in shipping") %>%
add_precursors("common/GCAM_region_names",
"aglu/A_agTradedTechnology") ->
L240.TechCoef_tra
L240.Production_tra %>%
add_title("Technology calibration for traded ag commodities") %>%
add_units("Mt") %>%
add_comments("Regional exports of commodities that are traded between GCAM regions") %>%
add_precursors("common/GCAM_region_names",
"aglu/A_agTradedTechnology",
"L110.For_ALL_bm3_R_Y",
"L100.FAO_For_Exp_m3",
"common/iso_GCAM_regID",
"L1091.GrossTrade_Mt_R_C_Y") ->
L240.Production_tra
L240.Supplysector_reg %>%
add_title("Supplysector info for regional ag commodities") %>%
add_units("None") %>%
add_comments("These sectors are used for sharing between consumption of domestically produced crops versus imports") %>%
add_precursors("common/GCAM_region_names",
"aglu/A_agRegionalSector") ->
L240.Supplysector_reg
L240.SubsectorAll_reg %>%
add_title("Subsector info for traded ag commodities") %>%
add_units("None") %>%
add_comments("We remove any regions for which agriculture and land use are not modeled.") %>%
add_precursors("common/GCAM_region_names",
"aglu/A_agRegionalSubsector") ->
L240.SubsectorAll_reg
L240.TechShrwt_reg %>%
add_title("Technology share-weights for traded ag commodities") %>%
add_units("None") %>%
add_comments("We remove any regions for which agriculture and land use are not modeled.") %>%
add_precursors("common/GCAM_region_names",
"aglu/A_agRegionalTechnology") ->
L240.TechShrwt_reg
L240.TechCoef_reg %>%
add_title("Technology input-output coefficients for regional ag commodities") %>%
add_units("Unitless IO") %>%
add_comments("Pass-through; 1 unless some portion is assumed lost/spoiled in shipping") %>%
add_precursors("common/GCAM_region_names",
"aglu/A_agRegionalTechnology") ->
L240.TechCoef_reg
L240.Production_reg_imp %>%
add_title("Technology calibration for regional ag commodities: imports") %>%
add_units("Mt") %>%
add_comments("Consumption of commodities that are traded between GCAM regions") %>%
add_precursors("common/GCAM_region_names",
"aglu/A_agRegionalTechnology",
"L1091.GrossTrade_Mt_R_C_Y") ->
L240.Production_reg_imp
L240.Production_reg_dom %>%
add_title("Technology calibration for regional ag commodities: consumption of domestic production") %>%
add_units("Mt") %>%
add_comments("Consumption of commodities produced within-region") %>%
add_precursors("common/GCAM_region_names",
"aglu/A_agRegionalTechnology",
"L109.ag_ALL_Mt_R_C_Y",
"L109.an_ALL_Mt_R_C_Y",
"L110.For_ALL_bm3_R_Y",
"L100.FAO_For_Exp_m3",
"common/iso_GCAM_regID",
"L1091.GrossTrade_Mt_R_C_Y") ->
L240.Production_reg_dom
return_data(L240.Supplysector_tra,
L240.SectorUseTrialMarket_tra,
L240.SubsectorAll_tra,
L240.TechShrwt_tra,
L240.TechCost_tra,
L240.TechCoef_tra,
L240.Production_tra,
L240.Supplysector_reg,
L240.SubsectorAll_reg,
L240.TechShrwt_reg,
L240.TechCoef_reg,
L240.Production_reg_imp,
L240.Production_reg_dom)
} else {
stop("Unknown command")
}
}
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Defines functions module_aglu_L240.ag_trade
Documented in module_aglu_L240.ag_trade
# Copyright 2019 Battelle Memorial Institute; see the LICENSE file.
#' module_aglu_L240.ag_trade
#'
#' Model input for regional and (globally) traded agricultural crops and livestock commodities
#'
#' @param command API command to execute
#' @param ... other optional parameters, depending on command
#' @return Depends on \code{command}: either a vector of required inputs, a vector of output names, or (if
#' \code{command} is "MAKE") all the generated outputs: \code{L240.Supplysector_tra},
#' \code{L240.SectorUseTrialMarket_tra}, \code{L240.SubsectorAll_tra}, \code{L240.TechShrwt_tra},
#' \code{L240.TechCost_tra}, \code{L240.TechCoef_tra}, \code{L240.Production_tra}, \code{L240.Supplysector_reg},
#' \code{L240.SubsectorAll_reg}, \code{L240.TechShrwt_reg}, \code{L240.TechCoef_reg}, \code{L240.Production_reg_imp},
#' \code{L240.Production_reg_dom}.
#' @details Build datasets for ssp4 agricultural trade: food and nonfood trade coefficients, feed trade
#' coefficients, restricted agricultural trade, and trade regions.
#' @importFrom assertthat assert_that
#' @importFrom dplyr filter if_else left_join mutate rename select
#' @importFrom tidyr replace_na
#' @importFrom tibble tibble
#' @author GPK February 2019 XZ March 2020
module_aglu_L240.ag_trade <- function(command, ...) {
if(command == driver.DECLARE_INPUTS) {
return(c(FILE = "common/GCAM_region_names",
FILE = "aglu/A_agRegionalSector",
FILE = "aglu/A_agRegionalSubsector",
FILE = "aglu/A_agRegionalTechnology",
FILE = "aglu/A_agTradedSector",
FILE = "aglu/A_agTradedSubsector",
FILE = "aglu/A_agTradedTechnology",
FILE = "common/iso_GCAM_regID",
"L109.ag_ALL_Mt_R_C_Y",
"L109.an_ALL_Mt_R_C_Y",
"L110.For_ALL_bm3_R_Y",
"L100.FAO_For_Exp_m3",
"L1091.GrossTrade_Mt_R_C_Y"))
} else if(command == driver.DECLARE_OUTPUTS) {
return(c("L240.Supplysector_tra",
"L240.SectorUseTrialMarket_tra",
"L240.SubsectorAll_tra",
"L240.TechShrwt_tra",
"L240.TechCost_tra",
"L240.TechCoef_tra",
"L240.Production_tra",
"L240.Supplysector_reg",
"L240.SubsectorAll_reg",
"L240.TechShrwt_reg",
"L240.TechCoef_reg",
"L240.Production_reg_imp",
"L240.Production_reg_dom"))
} else if(command == driver.MAKE) {
all_data <- list(...)[[1]]
year <- region <- supplysector <- subsector <- GCAM_commodity <- GrossExp_Mt <-
calOutputValue <- subs.share.weight <- market.name <- minicam.energy.input <-
GrossImp_Mt <- Prod_Mt <- GCAM_region_ID <- NetExp_Mt <- Prod_bm3 <-
NetExp_bm3 <- value <- flow <- GrossExp <- NULL # silence package check notes
# Load required inputs
GCAM_region_names <- get_data(all_data, "common/GCAM_region_names")
A_agRegionalSector <- get_data(all_data, "aglu/A_agRegionalSector", strip_attributes = TRUE)
A_agRegionalSubsector <- get_data(all_data, "aglu/A_agRegionalSubsector", strip_attributes = TRUE)
A_agRegionalTechnology <- get_data(all_data, "aglu/A_agRegionalTechnology", strip_attributes = TRUE)
A_agTradedSector <- get_data(all_data, "aglu/A_agTradedSector", strip_attributes = TRUE)
A_agTradedSubsector <- get_data(all_data, "aglu/A_agTradedSubsector", strip_attributes = TRUE)
A_agTradedTechnology <- get_data(all_data, "aglu/A_agTradedTechnology", strip_attributes = TRUE)
L109.ag_ALL_Mt_R_C_Y <- get_data(all_data, "L109.ag_ALL_Mt_R_C_Y")
L109.an_ALL_Mt_R_C_Y <- get_data(all_data, "L109.an_ALL_Mt_R_C_Y")
iso_GCAM_regID <- get_data(all_data, "common/iso_GCAM_regID")
L110.For_ALL_bm3_R_Y <- get_data(all_data, "L110.For_ALL_bm3_R_Y")
L100.FAO_For_Exp_m3 <- get_data(all_data, "L100.FAO_For_Exp_m3")
L1091.GrossTrade_Mt_R_C_Y <- get_data(all_data, "L1091.GrossTrade_Mt_R_C_Y")
# 0: Bind crops, livestock, and forest for prod and netexp
L109.ag_an_for_ALL_Mt_R_C_Y <- L109.ag_ALL_Mt_R_C_Y %>%
select(GCAM_region_ID, GCAM_commodity, year, Prod_Mt, NetExp_Mt) %>%
bind_rows(L109.an_ALL_Mt_R_C_Y %>%
select(GCAM_region_ID, GCAM_commodity, year, Prod_Mt, NetExp_Mt)) %>%
bind_rows(L110.For_ALL_bm3_R_Y %>%
filter(GCAM_commodity %in% aglu.TRADED_FORESTS) %>%
select(GCAM_region_ID, GCAM_commodity, year,
Prod_Mt = Prod_bm3, NetExp_Mt = NetExp_bm3)) #note that physical unit for forest data is bm3
# Adding forest trade data in L1091.GrossTrade_Mt_R_C_Y. Note that bilateral trade data are not used for now.
# FAO does not provide primary roundwood bilateral trade data. We use export data to back calculate gross trade.
# replace_na here only affect Taiwan, which we did not have trade data.
L1091.GrossTrade_Mt_R_C_Y <- L1091.GrossTrade_Mt_R_C_Y %>%
bind_rows(L110.For_ALL_bm3_R_Y %>%
left_join(
L100.FAO_For_Exp_m3 %>%
mutate(GCAM_region_ID = left_join_error_no_match(L100.FAO_For_Exp_m3, iso_GCAM_regID, by = c("iso"))[['GCAM_region_ID']],
GCAM_commodity = "Forest", # add the forest commodity label
value = CONV_M3_BM3 * value, # convert the value units from m3 to bm3, had to add this constant to constants.R
flow = "GrossExp") %>%
select(GCAM_region_ID, GCAM_commodity, flow, year, value) %>%
group_by(GCAM_region_ID, GCAM_commodity, flow, year) %>%
summarise(value = sum(value)) %>%
ungroup() %>%
spread(flow, value),
by = c("GCAM_region_ID", "GCAM_commodity", "year")) %>%
replace_na(list(GrossExp = 0)) %>%
filter(GCAM_commodity %in% aglu.TRADED_FORESTS) %>%
mutate(GrossImp_Mt = if_else(GrossExp - NetExp_bm3 > 0, GrossExp - NetExp_bm3, 0),
GrossExp_Mt = if_else(GrossExp - NetExp_bm3 > 0, GrossExp, NetExp_bm3)) %>%
select(names(L1091.GrossTrade_Mt_R_C_Y)) )
# 1. TRADED SECTOR / SUBSECTOR / TECHNOLOGY")
# L240.Supplysector_tra: generic supplysector info for traded ag commodities
# By convention, traded commodity information is contained within the USA region (could be within any)
A_agTradedSector$region <- gcam.USA_REGION
# L240.Supplysector_tra: generic supplysector info for traded ag commodities
L240.Supplysector_tra <- mutate(A_agTradedSector, logit.year.fillout = min(MODEL_BASE_YEARS)) %>%
select(c(LEVEL2_DATA_NAMES[["Supplysector"]], "logit.type"))
# L240.SectorUseTrialMarket_tra: Create solved markets for the traded sectors
L240.SectorUseTrialMarket_tra <- select(A_agTradedSector, region, supplysector) %>%
mutate(use.trial.market = 1)
# L240.SubsectorAll_tra: generic subsector info for traded ag commodities
# Traded commodities have the region set to USA and the subsector gets the region name pre-pended
L240.SubsectorAll_tra <- write_to_all_regions(A_agTradedSubsector,
c(LEVEL2_DATA_NAMES[["SubsectorAll"]], "logit.type"),
filter(GCAM_region_names, !region %in% aglu.NO_AGLU_REGIONS),
has_traded = TRUE)
# Base technology-level table for several tables to be written out")
A_agTradedTechnology_R_Y <- repeat_add_columns(A_agTradedTechnology,
tibble(year = MODEL_YEARS)) %>%
repeat_add_columns(filter(GCAM_region_names, !region %in% aglu.NO_AGLU_REGIONS)) %>%
mutate(subsector = paste(region, subsector, sep = " "),
technology = subsector,
market.name = region,
region = gcam.USA_REGION)
# L240.TechShrwt_tra: Share-weights of traded technologies
L240.TechShrwt_tra <- select(A_agTradedTechnology_R_Y, LEVEL2_DATA_NAMES[["TechShrwt"]])
# L240.TechCost_tra: Costs of traded technologies
L240.TechCost_tra <- A_agTradedTechnology_R_Y %>%
mutate(minicam.non.energy.input = "trade costs") %>%
select(LEVEL2_DATA_NAMES[["TechCost"]])
# L240.TechCoef_tra: Coefficient and market name of traded technologies
L240.TechCoef_tra <- select(A_agTradedTechnology_R_Y, LEVEL2_DATA_NAMES[["TechCoef"]])
# L240.Production_tra: Output (gross exports) of traded technologies
L240.GrossExports_Mt_R_C_Y <- left_join_error_no_match(L1091.GrossTrade_Mt_R_C_Y,
GCAM_region_names,
by = "GCAM_region_ID") %>%
select(region, GCAM_commodity, year, GrossExp_Mt)
L240.Production_tra <- filter(A_agTradedTechnology_R_Y, year %in% MODEL_BASE_YEARS) %>%
left_join_error_no_match(L240.GrossExports_Mt_R_C_Y,
by = c(market.name = "region", minicam.energy.input = "GCAM_commodity", "year")) %>%
rename(calOutputValue = GrossExp_Mt) %>%
mutate(share.weight.year = year,
subs.share.weight = if_else(calOutputValue > 0, 1, 0),
tech.share.weight = subs.share.weight) %>%
select(LEVEL2_DATA_NAMES[["Production"]])
# PART 2: DOMESTIC SUPPLY SECTOR / SUBSECTOR / TECHNOLOGY")
# L240.Supplysector_reg: generic supplysector info for regional ag commodities
L240.Supplysector_reg <- mutate(A_agRegionalSector, logit.year.fillout = min(MODEL_BASE_YEARS)) %>%
write_to_all_regions(c(LEVEL2_DATA_NAMES[["Supplysector"]], "logit.type"),
filter(GCAM_region_names, !region %in% aglu.NO_AGLU_REGIONS))
# L240.SubsectorAll_reg: generic subsector info for regional ag commodities (competing domestic prod vs intl imports)
L240.SubsectorAll_reg <- write_to_all_regions(A_agRegionalSubsector,
c(LEVEL2_DATA_NAMES[["SubsectorAll"]], "logit.type"),
filter(GCAM_region_names, !region %in% aglu.NO_AGLU_REGIONS))
# Base technology-level table for several tables to be written out")
A_agRegionalTechnology_R_Y <- repeat_add_columns(A_agRegionalTechnology,
tibble(year = MODEL_YEARS)) %>%
repeat_add_columns(filter(GCAM_region_names["region"], !region %in% aglu.NO_AGLU_REGIONS)) %>%
mutate(market.name = if_else(market.name == "regional", region, market.name))
# L240.TechShrwt_tra: Share-weights of traded technologies
L240.TechShrwt_reg <- select(A_agRegionalTechnology_R_Y, LEVEL2_DATA_NAMES[["TechShrwt"]])
# L240.TechCoef_reg: Coefficient and market name of traded technologies
L240.TechCoef_reg <- select(A_agRegionalTechnology_R_Y, LEVEL2_DATA_NAMES[["TechCoef"]])
# L240.Production_reg_imp: Output (flow) of gross imports
# Imports are equal to the gross imports calculated in L1091
L240.GrossImports_Mt_R_C_Y <- left_join_error_no_match(L1091.GrossTrade_Mt_R_C_Y,
GCAM_region_names,
by = "GCAM_region_ID") %>%
left_join(select(A_agTradedTechnology, supplysector, minicam.energy.input),
by = c(GCAM_commodity = "minicam.energy.input")) %>%
select(region, supplysector, year, GrossImp_Mt)
L240.Production_reg_imp <- A_agRegionalTechnology_R_Y %>%
filter(year %in% MODEL_BASE_YEARS,
grepl( "import", subsector)) %>%
left_join_error_no_match(L240.GrossImports_Mt_R_C_Y,
by = c("region", minicam.energy.input = "supplysector", "year")) %>%
rename(calOutputValue = GrossImp_Mt) %>%
mutate(share.weight.year = year,
subs.share.weight = if_else(calOutputValue > 0, 1, 0),
tech.share.weight = subs.share.weight) %>%
select(LEVEL2_DATA_NAMES[["Production"]])
# L240.Production_reg_dom: Output (flow) of domestic
# Domestic "output" is equal to production (Prod_Mt in L109) minus gross exports (calculated in L1091)
#### DOMESTIC TECHNOLOGY OUTPUT = AG PRODUCTION - GROSS EXPORTS
L240.GrossExports_Mt_R_C_Y <- left_join_error_no_match(L1091.GrossTrade_Mt_R_C_Y,
GCAM_region_names,
by = "GCAM_region_ID") %>%
select(region, GCAM_commodity, year, GrossExp_Mt)
L240.Prod_Mt_R_C_Y <- left_join_error_no_match(L109.ag_an_for_ALL_Mt_R_C_Y,
GCAM_region_names,
by = "GCAM_region_ID") %>%
select(region, GCAM_commodity, year, Prod_Mt)
L240.Production_reg_dom <- A_agRegionalTechnology_R_Y %>%
filter(year %in% MODEL_BASE_YEARS,
grepl( "domestic", subsector)) %>%
left_join_error_no_match(L240.GrossExports_Mt_R_C_Y,
by = c("region", minicam.energy.input = "GCAM_commodity", "year")) %>%
left_join_error_no_match(L240.Prod_Mt_R_C_Y,
by = c("region", minicam.energy.input = "GCAM_commodity", "year")) %>%
mutate(calOutputValue = Prod_Mt - GrossExp_Mt,
share.weight.year = year,
subs.share.weight = if_else(calOutputValue > 0, 1, 0),
tech.share.weight = subs.share.weight) %>%
select(LEVEL2_DATA_NAMES[["Production"]])
# Produce outputs
L240.Supplysector_tra %>%
add_title("Supplysector info for traded ag commodities") %>%
add_units("None") %>%
add_comments("We remove any regions for which agriculture and land use are not modeled.") %>%
add_precursors("common/GCAM_region_names",
"aglu/A_agTradedSector") ->
L240.Supplysector_tra
L240.SectorUseTrialMarket_tra %>%
add_title("Supplysector flag indicating to make trial markets") %>%
add_units("None") %>%
add_comments("This helps model solution when running with ag trade") %>%
add_precursors("common/GCAM_region_names",
"aglu/A_agTradedSector") ->
L240.SectorUseTrialMarket_tra
L240.SubsectorAll_tra %>%
add_title("Subsector info for traded ag commodities") %>%
add_units("None") %>%
add_comments("We remove any regions for which agriculture and land use are not modeled.") %>%
add_precursors("common/GCAM_region_names",
"aglu/A_agTradedSubsector") ->
L240.SubsectorAll_tra
L240.TechShrwt_tra %>%
add_title("Technology share-weights for traded ag commodities") %>%
add_units("None") %>%
add_comments("We remove any regions for which agriculture and land use are not modeled.") %>%
add_precursors("common/GCAM_region_names",
"aglu/A_agTradedTechnology") ->
L240.TechShrwt_tra
L240.TechCost_tra %>%
add_title("Technology costs for traded ag commodities") %>%
add_units("1975$/kg") %>%
add_comments("Exogenous cost to reflect shipping + handling of traded commodities") %>%
add_precursors("common/GCAM_region_names",
"aglu/A_agTradedTechnology") ->
L240.TechCost_tra
L240.TechCoef_tra %>%
add_title("Technology input-output coefficients for traded ag commodities") %>%
add_units("Unitless IO") %>%
add_comments("Pass-through; 1 unless some portion is assumed lost/spoiled in shipping") %>%
add_precursors("common/GCAM_region_names",
"aglu/A_agTradedTechnology") ->
L240.TechCoef_tra
L240.Production_tra %>%
add_title("Technology calibration for traded ag commodities") %>%
add_units("Mt") %>%
add_comments("Regional exports of commodities that are traded between GCAM regions") %>%
add_precursors("common/GCAM_region_names",
"aglu/A_agTradedTechnology",
"L110.For_ALL_bm3_R_Y",
"L100.FAO_For_Exp_m3",
"common/iso_GCAM_regID",
"L1091.GrossTrade_Mt_R_C_Y") ->
L240.Production_tra
L240.Supplysector_reg %>%
add_title("Supplysector info for regional ag commodities") %>%
add_units("None") %>%
add_comments("These sectors are used for sharing between consumption of domestically produced crops versus imports") %>%
add_precursors("common/GCAM_region_names",
"aglu/A_agRegionalSector") ->
L240.Supplysector_reg
L240.SubsectorAll_reg %>%
add_title("Subsector info for traded ag commodities") %>%
add_units("None") %>%
add_comments("We remove any regions for which agriculture and land use are not modeled.") %>%
add_precursors("common/GCAM_region_names",
"aglu/A_agRegionalSubsector") ->
L240.SubsectorAll_reg
L240.TechShrwt_reg %>%
add_title("Technology share-weights for traded ag commodities") %>%
add_units("None") %>%
add_comments("We remove any regions for which agriculture and land use are not modeled.") %>%
add_precursors("common/GCAM_region_names",
"aglu/A_agRegionalTechnology") ->
L240.TechShrwt_reg
L240.TechCoef_reg %>%
add_title("Technology input-output coefficients for regional ag commodities") %>%
add_units("Unitless IO") %>%
add_comments("Pass-through; 1 unless some portion is assumed lost/spoiled in shipping") %>%
add_precursors("common/GCAM_region_names",
"aglu/A_agRegionalTechnology") ->
L240.TechCoef_reg
L240.Production_reg_imp %>%
add_title("Technology calibration for regional ag commodities: imports") %>%
add_units("Mt") %>%
add_comments("Consumption of commodities that are traded between GCAM regions") %>%
add_precursors("common/GCAM_region_names",
"aglu/A_agRegionalTechnology",
"L1091.GrossTrade_Mt_R_C_Y") ->
L240.Production_reg_imp
L240.Production_reg_dom %>%
add_title("Technology calibration for regional ag commodities: consumption of domestic production") %>%
add_units("Mt") %>%
add_comments("Consumption of commodities produced within-region") %>%
add_precursors("common/GCAM_region_names",
"aglu/A_agRegionalTechnology",
"L109.ag_ALL_Mt_R_C_Y",
"L109.an_ALL_Mt_R_C_Y",
"L110.For_ALL_bm3_R_Y",
"L100.FAO_For_Exp_m3",
"common/iso_GCAM_regID",
"L1091.GrossTrade_Mt_R_C_Y") ->
L240.Production_reg_dom
return_data(L240.Supplysector_tra,
L240.SectorUseTrialMarket_tra,
L240.SubsectorAll_tra,
L240.TechShrwt_tra,
L240.TechCost_tra,
L240.TechCoef_tra,
L240.Production_tra,
L240.Supplysector_reg,
L240.SubsectorAll_reg,
L240.TechShrwt_reg,
L240.TechCoef_reg,
L240.Production_reg_imp,
L240.Production_reg_dom)
} else {
stop("Unknown command")
}
}
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