A typical workflow begins with using the Leontief decomposition in
the decompr
package.
# load the decompr package
library(decompr)
## Please consider citing R and decompr,
## using citation()
## citation('decompr')
We will use the example data set.
# load the example data set
data(leather)
attach(leather)
and apply the leontief decomposition and post multiply with exports
<- decomp(x = inter,
l y = final,
k = countries,
i = industries,
o = out,
method = "leontief",
post = "exports" )
We can now analyse the l
object with the
gvc package.
library(gvc)
## Please consider citing R and gvc,
## citation()
## citation('gvc')
For instance, using the New Revealed Comparative
Advantage (nrca()
),
nrca(l)
## [1] 1.2676927 1.0581114 0.1533582 1.0087530 1.3176076 0.3068102 0.8635848
## [8] 0.7080925 1.9843574
or using Importing to Export
(i2e()
),
i2e(l)
## country sector i2e
## 1 Argentina Agriculture 3.404712
## 2 Argentina Textile_and_Leather 6.443233
## 3 Argentina Transport_Equipment 0.762098
## 4 Turkey Agriculture 7.467932
## 5 Turkey Textile_and_Leather 11.125843
## 6 Turkey Transport_Equipment 2.544472
## 7 Germany Agriculture 5.632133
## 8 Germany Textile_and_Leather 5.280111
## 9 Germany Transport_Equipment 25.397173