In order to run output decomposition (fdvad, fdvac), and calculate upstreamness indicator (upsts) run get_io(year, version) and construct(x) functions first. Two versions of data are available. A - years 1995 - 2011, 41 countries, 35 sectos. B - years 2000 - 2014, 44 countries and 56 sectors.
FDVAD - example
$Title
[1] "Decomposition of Final Demand in respect to value added from source countries"
$Country [1] "DEU"
$Year [1] 1995
$Sector [1] "Transport Equipment"
$fdvad() - example
DEU FRA USA
78.86133 2.62078 2.01496 ... etc
The data above show that 78.8% of final demand in Germany (DEU) in sector of Transport Equipment is satisifed by local supply - locally sourced capital and labour. 2.67% of value added in this sector comes from France etc...
fdvac(34) - example
$Title
[1] "Decomposition of Final Demand in respect to value added from source countries"
$Country [1] "RUS"
$Year [1] 2008
$FDVAC
RUS RoW DEU
91.81988 1.49900 1.07961 ... etc
The data above show that 91.8 % of total final demand in Russia in 2008 is staisfied by local economy. 1.5% comes from the ROW (REST of the WORLD - unclassified countries), Germany (1.08%) etc.
for details see : How global are global value chains? : a new approach to measure international fragmentation Bart Los; Marcel P. Timmer; Gaaitzen J. de Vries
UPSTR - example(,12)
Country Sector Upstreamness 1 AUS Basic Metals and Fabricated Metal 3.319064 2 AUT Basic Metals and Fabricated Metal 3.003984 3 BEL Basic Metals and Fabricated Metal 3.123639 4 BGR Basic Metals and Fabricated Metal 3.147907
etc...
Upstreamness indicator evaluates the distance from the sector to the end usage , final demand. The smaller is the number (minimum is 1), the closer is the secot to the end customers. Usually value close to one is related to better situation/profitaability of the specific sector.
For details see: Upstreamness in the Global Value Chain: Manufacturing and Services, Kenji Suganuma