fvas: Find Foreign and Regional Value Added Share

In sybrendeuzeman/WIOD_package: International Input Output Table Package

Description

Calculates the foreign value added and regional value added shares as in Bart Los, Marcel P Timmer, Gaaitzen J de Vries How global are global value chains? A new approach to measure international fragmentation#'

Usage

fvas(iot, regions = "None", industries = "None")

Arguments

iot:	List with elements in a Input-Output Table (load via [load_iot()])
regions:	Vector with categorisation of countries.
industries:	Vector with categorisation of industries.

Details

regions defines the regions that are used to calculate RFVAS. If none selected, RFVAS will be equal to FVAS.

Full reference: Bart Los, Marcel P Timmer, Gaaitzen J de Vries, 2015, How global are global value chains? A new approach to measure international fragmentation Journal of Regional Science, volume 55, issue 1, pages 66-92

Value

The input-output table list with the Foreign Value Added Share measure (fvas), the Regional Foreign Value Added Share measure (rfvas), and the Global Foreign Value Added Share measure (gfvas) and a description of the countries and industries (fvas_descr, rfvas_descr, gfvas_des) for use in [export_dataframe()].

Examples

iot <- load_iot("WIOD2013", 2000)
iot <- fvas(iot)

iots <- load_iots("WIOD2013", 2000:2001)
NAFTA <- c("USA", "MEX", "CAN")
BENELUX <- c("BEL", "NLD", "LUX") 
regions <- countrycat(list(NAFTA, BENELUX), iots)
primary <- c("AtB", "C") 
transport <- c("60", "61", "62", "63")
industries <- industrycat(list(primary, transport), iots)

iots <- on_iots(fvas, iots, regions = regions, industries = industries)
df_gii <- export_dataframe(c("fvas", "rfvas", "gfvas"), iots)

sybrendeuzeman/WIOD_package documentation built on Jan. 29, 2020, 9:07 p.m.