This page provides the entire Eora MRIO for download. For each year there are ten sheets: one values matrix and one standard deviations matrix for each of the five price margins (Basic prices, trade markup, transport markup, taxes markup, and subsidies markup). A guide to the Eora MRIO structure is here: Eora26Structure.xlsx.
Download indices.zip contains the country codes and sector names. The Satellite accounts Q use index_q for row labels and index_t then index_y for columns labels.
The MRIO is provided broken into the four constituent blocks:
In the satellite account block rows are satellite line items as documented in index_q.csv. The first 1:T-dim columns are inputs to industry, and the T-dim+1:end columns are direct emissions associated with housholds, government, etc, following the column layout of index_y.csv.
We periodically release updated datasets. It is recommended that you store these data in a folder named with the current version number: v199.82
.
We offer a utility class to help navigate the MRIO structure. It is called a tree structure, since the MRIO can be thought of as organized in a hierarchical tree structure (Year -> Margin -> Country -> Ind|Com|FD|PI|Q -> Sector). This object contains sector labels, indexing information, country names, and so on. To use it you need two files:
Download tree_structure.m - The MATLAB class. Save this into a folder where MATLAB can see itUsage:
load('c:\path\to\the\vv199.82\tree_structure.mat');tr=obj; disp(tr.countries); doc tree_structure % How to locate a particular sector co = tr.a3('ITA'); % find country number for Italy inds = tr.indexT{co}; % find row and column indices for Italy. Also see tr.indexM and tr.indexYV. sec = inds(2); % Location of sector 2 in italy disp(tr.labsT(sec,:)); % Confirm you arrived at the right location.
To cite this work please refer to these papers:
Lenzen M, Kanemoto K; Moran D, and Geschke A (2012) Mapping the structure of the world economy. Environmental Science & Technology 46(15) pp 8374–8381. DOI: 10.1021/es300171x
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.