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gvc

Bastiaan Quast

2022-06-19

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

l <- decomp(x = inter,
            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

These binaries (installable software) and packages are in development.
They may not be fully stable and should be used with caution. We make no claims about them.