leather

An example 3 x 3 ICIO table describing a GVC for leather products with industries 'Agriculture', 'Textile and Leather' and 'Transport Equipment'
for the countries 'Argentina', 'Turkey' and 'Germany'.

Three global value chain (GVC) decompositions are implemented.
The Leontief decomposition derives the value added origin of exports by
country and industry as in Hummels, Ishii and Yi (2001). The Koopman,
Wang and Wei (2014) decomposition splits country-level exports into 9
value added components, and the Wang, Wei and Zhu (2013) decomposition
splits bilateral exports into 16 value added components. Various GVC
indicators based on these decompositions are computed in the
complimentary 'gvc' package.
--- References: ---
Hummels, D., Ishii, J., & Yi, K. M. (2001). The nature and growth of
vertical specialization in world trade. Journal of international
Economics, 54(1), 75-96.
Koopman, R., Wang, Z., & Wei, S. J. (2014). Tracing value-added and double
counting in gross exports. American Economic Review, 104(2), 459-94.
Wang, Z., Wei, S. J., & Zhu, K. (2013). Quantifying international production
sharing at the bilateral and sector levels (No. w19677).
National Bureau of Economic Research.

Bastiaan Quast

decompr

Global Value Chain Decomposition

Fei Wang

Victor Stolzenburg

Oliver Reiter

Sebastian Krantz

leather function

A list of class 'iot' with the following elements:<dl class="dl-horizontal">
 <dt><code>inter</code></dt><dd>9 x 9 input output matrix where each column gives the value of inputs supplied to the corresponding country-industry by each row country-industry.</dd>
 <dt><code>final</code></dt><dd>9 x 3 final demand matrix showing the final demand in each country (column) for each country-industry's (rows) produce.</dd>
 <dt><code>countries</code></dt><dd>character vector of country names (matching columns of <code>final</code>).</dd>
 <dt><code>industries</code></dt><dd>character vector of industries, such that <code>as.vector(t(outer(countries, industries, FUN = paste, sep = ".")))</code> generates the row- and column-names of <code>inter</code> and the rownames of <code>final</code>.</dd>
 <dt><code>out</code></dt><dd>A vector of gross country-industry output. In a complete productive system it should be equal to <code>rowSums(inter) + rowSums(final)</code>.</dd>
</dl>

Format

Leather Example ICIO Data — leather

A list of class 'iot' with the following elements:<dl class='dl-horizontal'>
 <dt><code>inter</code></dt><dd>9 x 9 input output matrix where each column gives the value of inputs supplied to the corresponding country-industry by each row country-industry.</dd>
 <dt><code>final</code></dt><dd>9 x 3 final demand matrix showing the final demand in each country (column) for each country-industry's (rows) produce.</dd>
 <dt><code>countries</code></dt><dd>character vector of country names (matching columns of <code>final</code>).</dd>
 <dt><code>industries</code></dt><dd>character vector of industries, such that <code>as.vector(t(outer(countries, industries, FUN = paste, sep = ".")))</code> generates the row- and column-names of <code>inter</code> and the rownames of <code>final</code>.</dd>
 <dt><code>out</code></dt><dd>A vector of gross country-industry output. In a complete productive system it should be equal to <code>rowSums(inter) + rowSums(final)</code>.</dd>
</dl>

leather: Leather Example ICIO Data

Description

Usage

Arguments

Format

See Also