In this simplified model all countries have been aggregated to a common 26-sector classification and the supply-use tables from the full Eora MRIO have been converted to symmetric product-by-product IO tables using the Industry Technology Assumption. This MRIO thus contains only symmetric product-by-product and industry-by-industry IO tables. (For details on this SUT to IOT conversion refer to the Eurostat Manual of Supply, Use and Input-Output Tables , specifically Table 11.29.) We provide the MRIO in basic prices, recommended for use for environmentally extended IO analysis, and in purchasers prices, typically only used for applications with household expenditure surveys.
This simplified model is considerably easier to work with than the full Eora MRIO but it is known to be slightly less accurate. Both the step of aggregating sectors from the higher sectoral detail of Eora to the lower detail of Eora26, and the step of converting Supply/Use tables to IO tables, involve both a net information loss and the introduction of some new assumptions. The full resolution Eora results are considered to be superior. The Eora26 MRIO is provided for simplicity, but is provided as-is.
Each zipfile contains the MRIO data in tab-separated .txt files, divided into the transactions matrix
T, primary inputs (also called value added)
VA, final demand block
FD, and satellite accounts (also called environmental extensions or stressors)
Q (Q for emissions associated with production, QY for direct emissions by final consumers). Metadata labels are provided in separate .txt files. The unzipped data are ~200MB for each year.
We periodically release updated datasets which in addition to having updated values may have a different country composition or sequence. To make such updates easier to manage we highly recommend you store these data in a folder that refelcts the current version number:
This Excel file illustrates the strucutre of Eora26: Eora26Structure.xlsx
|Year||Basic prices||Purchasers prices|
Each file is ~70mb zipped and ~200mb unzipped.
To cite this work please refer to these papers:
Lenzen, M., Moran, D., Kanemoto, K., Geschke, A. (2013) Building Eora: A Global Multi-regional Input-Output Database at High Country and Sector Resolution. Economic Systems Research, 25:1, 20-49, DOI:10.1080/09535314.2013.769938
Many people and institutions have contributed to the creation of the Eora MRIO tables. We would like to thank all those individuals and institutions which have helped make the Eora MRIO a reality. Acknowledgements.