Improving the European input–output database for global trade analysis
Abstract There are increasing numbers of published articles in the field of input–output analysis and modelling that use the GTAP input–output database; particularly, in relation to the estimation of carbon, energy and water footprints and the analysis of global value chains and international trade....
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doaj-6e89291dd590454daf545de62f9f894d2020-11-25T02:30:12ZengSpringerOpenJournal of Economic Structures2193-24092020-04-019111610.1186/s40008-020-00208-2Improving the European input–output database for global trade analysisJosé M. Rueda-Cantuche0Tamas Revesz1Antonio F. Amores2Agustín Velázquez3Marian Mraz4Emanuele Ferrari5Alfredo J. Mainar-Causapé6Letizia Montinari7Bert Saveyn8European Commission, Joint Research CentreEuropean Commission, Joint Research CentreEuropean Commission, Joint Research CentreEuropean Commission, Joint Research CentreEuropean Commission, Joint Research CentreEuropean Commission, Joint Research CentreEuropean Commission, Joint Research CentreEuropean Commission, Joint Research CentreEuropean Commission, Joint Research CentreAbstract There are increasing numbers of published articles in the field of input–output analysis and modelling that use the GTAP input–output database; particularly, in relation to the estimation of carbon, energy and water footprints and the analysis of global value chains and international trade. The policy relevance of those topics is also increasing, thus calling for consistently linking these databases with official statistics. Although, so far, GTAP has been using their own classification and reconciliation methods, this paper develops a new conversion method for the EU that guarantees that the EU-GTAP database respects the new statistical standards and Eurostat official statistics. We recommend for future updates, a shift of the current GTAP classification of industries to the new official standard classifications to which countries are progressively moving to. Otherwise, the lack of matching official data would jeopardize the usefulness of such database. This method can be extended to other similar input–output databases with different classification schemes from the original input data sources.http://link.springer.com/article/10.1186/s40008-020-00208-2Input–output tablesEuropean UnionGTAPSupply and use tables |
collection |
DOAJ |
language |
English |
format |
Article |
sources |
DOAJ |
author |
José M. Rueda-Cantuche Tamas Revesz Antonio F. Amores Agustín Velázquez Marian Mraz Emanuele Ferrari Alfredo J. Mainar-Causapé Letizia Montinari Bert Saveyn |
spellingShingle |
José M. Rueda-Cantuche Tamas Revesz Antonio F. Amores Agustín Velázquez Marian Mraz Emanuele Ferrari Alfredo J. Mainar-Causapé Letizia Montinari Bert Saveyn Improving the European input–output database for global trade analysis Journal of Economic Structures Input–output tables European Union GTAP Supply and use tables |
author_facet |
José M. Rueda-Cantuche Tamas Revesz Antonio F. Amores Agustín Velázquez Marian Mraz Emanuele Ferrari Alfredo J. Mainar-Causapé Letizia Montinari Bert Saveyn |
author_sort |
José M. Rueda-Cantuche |
title |
Improving the European input–output database for global trade analysis |
title_short |
Improving the European input–output database for global trade analysis |
title_full |
Improving the European input–output database for global trade analysis |
title_fullStr |
Improving the European input–output database for global trade analysis |
title_full_unstemmed |
Improving the European input–output database for global trade analysis |
title_sort |
improving the european input–output database for global trade analysis |
publisher |
SpringerOpen |
series |
Journal of Economic Structures |
issn |
2193-2409 |
publishDate |
2020-04-01 |
description |
Abstract There are increasing numbers of published articles in the field of input–output analysis and modelling that use the GTAP input–output database; particularly, in relation to the estimation of carbon, energy and water footprints and the analysis of global value chains and international trade. The policy relevance of those topics is also increasing, thus calling for consistently linking these databases with official statistics. Although, so far, GTAP has been using their own classification and reconciliation methods, this paper develops a new conversion method for the EU that guarantees that the EU-GTAP database respects the new statistical standards and Eurostat official statistics. We recommend for future updates, a shift of the current GTAP classification of industries to the new official standard classifications to which countries are progressively moving to. Otherwise, the lack of matching official data would jeopardize the usefulness of such database. This method can be extended to other similar input–output databases with different classification schemes from the original input data sources. |
topic |
Input–output tables European Union GTAP Supply and use tables |
url |
http://link.springer.com/article/10.1186/s40008-020-00208-2 |
work_keys_str_mv |
AT josemruedacantuche improvingtheeuropeaninputoutputdatabaseforglobaltradeanalysis AT tamasrevesz improvingtheeuropeaninputoutputdatabaseforglobaltradeanalysis AT antoniofamores improvingtheeuropeaninputoutputdatabaseforglobaltradeanalysis AT agustinvelazquez improvingtheeuropeaninputoutputdatabaseforglobaltradeanalysis AT marianmraz improvingtheeuropeaninputoutputdatabaseforglobaltradeanalysis AT emanueleferrari improvingtheeuropeaninputoutputdatabaseforglobaltradeanalysis AT alfredojmainarcausape improvingtheeuropeaninputoutputdatabaseforglobaltradeanalysis AT letiziamontinari improvingtheeuropeaninputoutputdatabaseforglobaltradeanalysis AT bertsaveyn improvingtheeuropeaninputoutputdatabaseforglobaltradeanalysis |
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