| Version: | 6.4.0 |
| Title: | Global Value Chains Tools |
| Description: | Several tools for Global Value Chain ('GVC') analysis are implemented. |
| Maintainer: | Bastiaan Quast <bquast@gmail.com> |
| Depends: | R (≥ 3.5.0) |
| License: | GPL-3 |
| URL: | https://qua.st/gvc, https://github.com/bquast/gvc |
| BugReports: | https://github.com/bquast/gvc/issues |
| Imports: | decompr, diagonals |
| Suggests: | testthat, knitr, rmarkdown |
| VignetteBuilder: | knitr |
| RoxygenNote: | 7.2.0 |
| Encoding: | UTF-8 |
| NeedsCompilation: | no |
| Packaged: | 2022-06-19 17:35:38 UTC; bquast |
| Author: | Bastiaan Quast 
[aut, cre],
Victor Kummritz [aut] |
| Repository: | CRAN |
| Date/Publication: | 2022-06-19 17:50:02 UTC |
Domestic Final Demand Domestic Value Added
Description
Domestic Final Demand Domestic Value Added
Usage
dfddva(x, aggregate = FALSE)
Arguments
x |
A Leontief decomposed Inter-Country Input Output table as created by decompr, which should be post multiplied with final demand (using the parameter: post="final_demand") |
aggregate |
should dfddva be aggregated along source industries to a national sum? |
Examples
# load the decompr package
library(decompr)
# load example data
data(leather)
attach(leather)
# create a leontief decomposed data set
l <- decomp(x = inter,
y = final,
k = countries,
i = industries,
o = out,
method = "leontief",
post = "final_demand")
# apply dfddva
dfddva( l )
Domestic Final Demand Foreign Value Added
Description
Domestic Final Demand Foreign Value Added
Usage
dfdfva(x, aggregate = FALSE)
Arguments
x |
A Leontief decomposed Inter-Country Input Output table as created by decompr, which should be post multiplied with final demand (using the parameter: post="final_demand") |
aggregate |
should dfddva be aggregated along source industries to a national sum? |
Examples
# load the decompr package
library(decompr)
# load the example data
data(leather)
attach(leather)
# create a leontief decomposed data set
l <- decomp(x = inter,
y = final,
k = countries,
i = industries,
o = out,
method = "leontief",
post = "final_demand")
# apply dfdfva
dfdfva( l )
Downstreamness
Description
Downstreamness
Usage
downstream(x)
Arguments
x |
an object of class "decompr" as created using the load_tables_vectors() function from the decompr package. |
Examples
# load the decompr package
library(decompr)
# load example data
data(leather)
attach(leather)
# create a leontief decomposed data set
l <- load_tables_vectors(x = inter,
y = final,
k = countries,
i = industries,
o = out )
# apply downstream
downstream( l )
Exporting to Re-export
Description
Exporting to Re-export
Usage
e2r(x, by = NULL, subset = NULL)
Arguments
x |
A Leontief decomposed Inter-Country Input Output table as created by decompr |
by |
variable to subset by |
subset |
value(s) of the subset variable to select |
Examples
# load the decompr package
library(decompr)
# load the example data set
data(leather)
attach(leather)
# create a leontief decomposed data set
l <- decomp(x = inter,
y = final,
k = countries,
i = industries,
o = out)
# apply the Exporting to Re-export
e2r( l )
Foreign Final Demand Domestic Value Added
Description
Foreign Final Demand Domestic Value Added
Usage
ffddva(x, aggregate = FALSE)
Arguments
x |
A Leontief decomposed Inter-Country Input Output table as created by decompr, which should be post multiplied with final demand (using the parameter: post="final_demand") |
aggregate |
should dfddva be aggregated along source industries to a national sum? |
Examples
# load the decompr package
library(decompr)
# load example data
data(leather)
attach(leather)
# create a leontief decomposed data set
l <- decomp(x = inter,
y = final,
k = countries,
i = industries,
o = out,
method = "leontief",
post = "final_demand")
# apply ffddva
ffddva( l )
Global Value Chain analysis
Description
Several tools for Global Value Chain ('GVC') analysis are implemented.
Author(s)
Bastiaan Quast bquast@gmail.com Victor Kummritz
References
Wang, Zhi, Shang-Jin Wei, and Kunfu Zhu. Quantifying international production sharing at the bilateral and sector levels. No. w19677. National Bureau of Economic Research, 2013.
See Also
https://qua.st/decompr
Importing to Export
Description
Importing to Export
Vertical Specialization
Vertical Specialisation
Usage
i2e(x, by = NULL, subset = NULL)
vertical_specialisation(x, by = NULL, subset = NULL)
vertical_specialization(x, by = NULL, subset = NULL)
Arguments
x |
A Leontief decomposed Inter-Country Input Output table as created by decompr |
by |
variable to subset by |
subset |
value(s) of the subset variable to select |
Examples
# load the decompr package
library(decompr)
# load the example data set
data(leather)
attach(leather)
# create a leontief decomposed data set
l <- decomp(x = inter,
y = final,
k = countries,
i = industries,
o = out)
# apply the Import to Exports analysis
i2e( l )
New Revealed Comparative Advantage
Description
New Revealed Comparative Advantage
Usage
nrca(x)
Arguments
x |
A decomposed Inter-Country Input Output table as created by decompr |
Examples
# load the decompr package
library(decompr)
# load the example data set
data(leather)
attach(leather)
# perform Leontief decomposition
l <- decomp(x = inter,
y = final,
k = countries,
i = industries,
o = out,
method = "leontief",
post = "exports" )
# load gvc package
library(gvc)
# perform New Revealed Comparative Advantage
nrca(l)
Upstreamness
Description
Upstreamness
Usage
upstream(x)
Arguments
x |
an object of class "decompr" as created using the load_tables_vectors() function from the decompr package. |
Examples
# load the decompr package
library(decompr)
# load example data
data(leather)
attach(leather)
# create a leontief decomposed data set
l <- load_tables_vectors(x = inter,
y = final,
k = countries,
i = industries,
o = out )
# apply upstream
upstream( l )