##############################################################################################
##
## FABIO: BUILD MRIO TABLE BASED ON FAOSTAT COMMODITY BALANCE SHEETS AND TRADE DATA
## 3b Clean Multi-regional Input-Output Tables
##
##############################################################################################
library(Matrix)
rm(list=ls()); gc()
##########################################################################
# Start loop for a series of years
##########################################################################
# year=1986
year=2013
for(year in 1986:2013){
print(year)
gc()
#-------------------------------------------------------------------------
# Read data
#-------------------------------------------------------------------------
is.finite.data.frame <- function(x) do.call(cbind, lapply(x, is.finite))
# read region classification
regions <- read.csv(file="./inst/fabio_input/Regions.csv", header=TRUE, sep=";")
# read commodity classification
items <- read.csv(file="./inst/fabio_input/Items.csv", header=TRUE, sep=";")
# load data
Zp <- readRDS(file=paste0("/mnt/nfs_fineprint/tmp/fabio/",year,"_Z_price.rds"))
Zm <- readRDS(file=paste0("/mnt/nfs_fineprint/tmp/fabio/",year,"_Z_mass.rds"))
Y <- readRDS(file=paste0("/mnt/nfs_fineprint/tmp/fabio/",year,"_Y.rds"))
X <- readRDS(file=paste0("/mnt/nfs_fineprint/tmp/fabio/",year,"_X.rds"))
E <- readRDS(file=paste0("/mnt/nfs_fineprint/tmp/fabio/",year,"_E.rds"))
# clean data
Zp <- round(Zp,2)
# Zp[Zp<0] <-0
Zm <- round(Zm,2)
# Zm[Zm<0] <-0
Y[Y[,"ROW_Balancing"]<0,"ROW_Balancing"] <- 0
Y <- round(Y,2)
X <- rowSums(Zm) + rowSums(Y)
# save results
saveRDS(Zm, file=paste0("/mnt/nfs_fineprint/tmp/fabio/",year,"_Z_mass.rds"))
saveRDS(Zp, file=paste0("/mnt/nfs_fineprint/tmp/fabio/",year,"_Z_price.rds"))
saveRDS(Y, file=paste0("/mnt/nfs_fineprint/tmp/fabio/",year,"_Y.rds"))
saveRDS(X, file=paste0("/mnt/nfs_fineprint/tmp/fabio/",year,"_X.rds"))
rm(list=ls()); gc()
}
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