get_upstream: Looking Up the Upstreamness and Downstreamness of Industries

In insongkim/concordance: Product Concordance

Looking Up the Upstreamness and Downstreamness of Industries

Description

Returns measures of industry upstreamness and downstreamness based on Antras and Chor (2018) and Antras, Chor, Fally and Hillberry (2012).

Usage

get_upstream(
  sourcevar,
  origin,
  country,
  year,
  setting = "GVC_Ui",
  detailed = FALSE
)

Arguments

sourcevar	An input character vector of industry codes to look up.
origin	A string indicating one of the following industry/product classifications: "HS0" (1988/92), "HS1" (1996), "HS2" (2002), "HS3" (2007), "HS4" (2012), "HS5" (2017), "HS6" (2022), "HS" (combined), "SITC1" (1950), "SITC2" (1974), "SITC3" (1985), "SITC4" (2006), "NAICS2002", "NAICS2007", "NAICS2012", "NAICS2017", "ISIC2" (1968), "ISIC3" (1989), "ISIC3.1" (2002), "ISIC4" (2008), "BEC4" (2016).
country	A string setting the ISO 3-letter country code for which to return values (default = "USA"). Antras and Chor (2018) provide estimates for 40 countries and the Rest of the World (RoW). For a list of available countries, load the package and type "unique(upstream$ISO3C)".
year	An integer setting the year for which to return values. Antras and Chor (2018) provide estimates for 1995-2011. The default returns estimates for 2011.
setting	Choose one of the four available measures from Antras and Chor (2018). "GVC_Ui": Upstreamness (net inventories correction). This is the defult measure. Larger values are associated with higher levels of upstreamness. "GVC_FUGOi": Final-use to gross-output (net inventories correction). Lower values are associated with higher levels of upstreamness. "GVC_Di": Downstreamness (net inventories correction). Larger values are associated with higher levels of downstreamness. "GVC_VAGOi": Value-added to gross-output (net inventories correction). Lower values are associated with higher levels of downstreamness
detailed	Choose whether to return more detailed industry-level GVC_Ui estimates following Antras, Chor, Fally, and Hillberry (2012). Note that these estimates only exist for USA in 2002, 2007, and 2012. "FALSE": Do not report detailed measures. This is the default. "TRUE": Report the detailed measures.

Value

Concords each element of the input vector to 2-digit ISIC3 codes, then uses the corresponding codes as input to calculate weighted estimates of upstreamness or downstreamness. For detailed estimates, the function concords each element of the input vector to 6-digit BEA codes, and then calculates weighted average estimates of upstreamness (GVC_Ui).

Source

Data from Pol Antras' webpage:

• <https://scholar.harvard.edu/antras/publications/measurement-upstreamness-and-downstreamness-global-valuechains>

• <https://scholar.harvard.edu/antras/publications/measuring-upstreamness-production-and-trade-flows>

References

• Antras, Pol, and Davin Chor. 2018. "On the Measurement of Upstreamness and Downstreamness in Global Value Chains." World Trade Evolution: Growth, Productivity and Employment, 126-194. Taylor & Francis Group.

• Antras, Pol, Davin Chor, Thibault Fally, and Russell Hillberry. 2012. "Measuring the Upstreamness of Production and Trade Flows." American Economic Review Papers and Proceedings 102(3), 412-416.

Examples

# ISIC3
get_upstream(sourcevar = c("01", "29", "29", "80"), origin = "ISIC3",
             country = "USA", year = "2011",
             setting = "GVC_Ui", detailed = FALSE)

# HS5
get_upstream(sourcevar = c("0101", "0301", "7014", "8420"), origin = "HS5",
             country = "USA", year = "2012",
             setting = "GVC_Ui", detailed = TRUE)

insongkim/concordance documentation built on Aug. 22, 2024, 6:53 p.m.