This database helps explore trends and patterns in international production through the analysis of global value chains (GVCs), i.e. fragmented and geographically dispersed production processes where different stages are located across different countries.
Compared to the alternative databases, the distinctive feature of UNCTAD-Eora database is a broad geographic coverage, including virtually all countries in the world. Additionally, the new version of the UNCTAD-Eora GVC database also features a "nowcasting" methodology to project value added trade data up to the current year. This time-series of GVC indicators at country/industry level covers a long time period from 1990 to 2018. Results for 2016-2018 are nowcasted based on the IMF World Economic Outlook. When using these data for analyses please present nowcasted results using dashed line or similar to indicate that these values are estimated. Values are in current year '000 USD unless otherwise specified.
The UNCTAD-Eora GVC database supports the GVC analysis in the World Investment Report 2018 (WIR; chapter I, section C.2) prepared by the United Nations Conference on Trade and Development (UNCTAD). Minor discrepancies between UNCTAD-Eora and the UNCTAD elaboration in the WIR may be due to (marginal) adjustments by UNCTAD staff.
For an introduction to the calculation of trade in value added based on the Eora Input-Ouput database, see also the IMF Working Paper "Calculating Trade in Value Added" (Aslam et al., 2017). Another recommended introductory paper is "Mapping Global Value Chains" (De Backer & Miroudot, 2013). (This latter paper includes the formula for calculating a GVC Participation Index)
Table reporting for each country the main GVC indicators for all available years: value added in trade (VA), foreign value added (FVA), domestic value added (DVA) and indirect value added (DVX).
Country-by-country matrix reporting, for each exporting country, the value added contributed by all other countries in the world. Rows show the country originating the VA and columns show the country exporting that VA. Available for all years from 1990 to 2018. Downloadable as a binary .mat file (readable in MATLAB, Octave, Python, and R) or as a ZIP package with one CSV file per year.
Country by country/sector matrix reporting, for each country/sector of exports, the value added contributed by all other countries in the world. Rows show the country originating the VA and columns show the country/sector exporting that VA. Available for all years from 1990 to 2015. Downloadable as a ZIP package with one CSV file per year.
Country/sector by country matrix reporting, for each country of exports, the value contributed by all other country/sector in the world. Rows show the country/sector originating the VA and columns show the country exporting that VA. Available for all years from 1990 to 2015. Downloadable as a ZIP package with one CSV file per year.
Table reporting for each country/industry tuplet the share of foreign value added in export. Year 2015.
Gross exports by sector in each country, 1990-2018. Values for 2016-2018 are nowcasted based on the IMF World Economic Outlook
This may be due to rounding error. Due to limited decimal precision in our computations and the CSV file format itself, it is typical to see rounding error of approximately <1% relative to the absolute value.
Due to data errors, the following countries should be excluded from this GVC analysis: Belarus, Benin, Burkina Faso, Congo, Eritrea, Ethiopia, Guinea, Guyana, Libya, Moldova, Serbia, Sudan, Yemen, Zimbabwe, Former USSR.