iotables (version 0.3.4)

gva_get: Get the gross value added (GVA) vector

Description

Get the gross value added (GVA) vector

Usage

gva_get(labelled_io_table = NULL, source = "germany_1990",
  geo = "DE", year = 1990, unit = "MIO_EUR", households = FALSE,
  labelling = "iotables", stk_flow = "DOM", keep_total = FALSE)

Arguments

labelled_io_table

If you have created the IO table earlier with iotable_get, it is faster to work with the data in the memory. Defaults to NULL when the data will be retrieved from the hard disk or from the Eurostat website invoking iotables_download and iotable_get

source

A data source, for example "naio_10_cp1700". Possible codes are "naio_10_cp1700", "naio_10_cp1750", "naio_10_pyp1700", "naio_10_pyp1750", "naio_10_cp1620", "naio_10_pyp1620", "naio_10_cp1630", "naio_10_pyp1630", "croatia_2010_1700", "croatia_2010_1800", "croatia_2010_1900". For further information consult the Eurostat Symmetric Input-Output Tables page.

geo

A country code or a country name. For example, SK for Slovakia.

year

A numeric variable containing the year. Defaults to 2010, because this year has the most data.

unit

A character string containing the currency unit, defaults to MIO_NAC (million national currency unit). The alternative is MIO_EUR.

households

If you need to make household demand endogenous, or "close the households off", TRUE selects wages and final household consumption. This is needed for induced-effects calculations.

labelling

Defaults to iotables which gives standard row and column names regardless of the source of the table, or if it is a product x product, industry x industry or product x industry table. The alternative is short which is the original short row or column code of Eurostat or OECD.

stk_flow

Defaults to DOM, alternative IMP.

keep_total

Logical variable. Defaults to FALSE and removes the totaling row and column from the matrix.

Examples

# NOT RUN {
gva_get (  source = "germany_1990", geo = "DE",
              year = 1990, unit = "MIO_EUR", 
              stk_flow = "DOM", labelling = "iotables")
# }
# NOT RUN {
GVA <-  iotables_download ( "naio_10_cp1700" ) %>%
 iotable_get (labelled_io_data = ., geo = "CZ", 
              source = "naio_10_cp1700",
              year = 2015, unit = "MIO_NAC", 
              labelling = "short") %>% 
 gva_get ()
# }