Description
This dataset contains the 2017 multi-regional Input-Output tables of the FIGARO-REG model, in its reduced version of 10 sectors. A larger version of this dataset (currently not published) is used to run the CARMEN model. This dataset is fully consistent with Eurostat’s FIGARO (inter-country) input-output tables of the year 2017 and it can be used to analyse various aspects of the EU economy at regional (NUTS2) level, such as gross value added, consumption, production and investment.
This is a large dataset including more than 23 million registries. Even if it is a CSV file, to access the full data it needs to be opened in any specialised software to handle large datasets.
Contact
Contributors
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- Jose Manuel Rueda-Cantuche
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0000-0002-7568-9119
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- Jorge Lopez Alvarez
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0000-0001-9825-7223
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- Luis Antonio Galiano Bastarrica
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0000-0002-0175-7318
How to cite
Rueda-Cantuche, Jose Manuel; Lopez Alvarez, Jorge; Galiano Bastarrica, Luis Antonio (2025): FIGARO-REG 2017 10 sectors. European Commission, Joint Research Centre (JRC) [Dataset] PID: http://data.europa.eu/89h/dff29c8d-b85b-41fa-9cb7-7289c7324937
Data access
This is a large dataset including more than 25 million registries. Even if it is a CSV file, to access the full data it needs to be opened in any specialised software to handle large datasets.
Methodological paper explaining the development of FIGARO-REG database
Publications
- Publications Office of the European Union, Luxembourg, Luxembourg
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Abstract
Highlights:
* The EU’s commitment to reduce its reliance on fossil fuels affects the employment of certain economic activities, such as the coal
based industries and other upstream activities in EU territories. * Future policy interventions to counter-balance the negative effects of decarbonisation on employment need to ensure appropriate
alternatives in those regions that can be most potentially affected by the coal transition, either directly or indirectly. * At national level, in 2017, there were 430,000 jobs that were directly or indirectly associated to coal production and coal-fired power
plants in the EU, of which 46% were located in Poland, followed by Czechia and Romania. * At regional level, the Silesian region in Poland hosted close to 90,000 jobs associated to coal based activities, followed by the
Romanian South-West Oltenia and other regions in Czechia (North-West). * Our results identify those regions potentially most affected by ceasing coal based activities in the EU, also taking into account
upstream employment effects in other regions and industries. * Our results could help the design of the upcoming “Industrial Decarbonisation Accelerator Act” aiming to decarbonise European
industry, informing policy measures that could ensure fossil fuel use reduction, and the creation of new job opportunities in the
territories negatively affected by the transition.
- Publications Office of the European Union, Luxembourg, Luxembourg
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Abstract
In her political guidelines, President Von der Leyen emphasised the significance of “Clean Trade and Investment Partnerships” to en-hance competitiveness and decrease reliance on other world economic regions, while rein-forcing trade defence mechanisms.
Within this policy context, this policy brief aims to help prioritising trade policy actions by un-ravelling the EU vulnerabilities and dependen-cies at three levels: EU, national and territorial, with a high industry detail.
This brief is focused on the possibility of a change in US trade defence policy towards China in light of the forthcoming US elections, which may affect EU exports to the US with high Chinese value added content.
At EU level, China accounted for around 18-27% of the foreign value added incorporated in the EU exports to US of motor vehicles, ma-chinery and equipment and computer and electronics.
At national level, Germany and France alone cumulated more than half of the total Chinese value added content in the EU exports to US whereas other smaller Eastern European countries, such as Estonia or Hungary, showed high relative dependence levels.
At regional level, Stuttgart and Upper Bavaria (Germany), Ile-de-France (France), North Bra-bant (Netherlands) and the Southern, and Eastern and Midland regions (Ireland) ac-counted for half of the total Chinese value added content in EU exports to US.
Our findings can help informing EU trade de-fensive measures and prepare upcoming pref-erential trade agreements and investment partnerships to be more effective in the re-gions and industries that would be more im-pacted by US trade policy shifts towards pe-nalising the entrance of goods and services with high Chinese value added content.
- Publications Office of the European Union, Luxembourg, Luxembourg
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Abstract
The EU automotive industry has important upstream linkages that affect EU regions in a different way, depending on their position into the global value chain of the automotive industry. Therefore, policy measures addressing the EU automotive industry need to take into consideration upstream regions and upstream industries that may not be characterised by a strong automotive industry but instead supply other regions with components or innovative designs for automotive production. By using the EU Automotive Regions Alliance as a cluster of strong automotive regions in the EU, this policy brief shows the relevance of upstream interregional linkages with other regions and industries across EU Member States. On average, one third of the value added generated in the automotive industry of the Alliance regions (e.g. in Eastern European regions) is due to upstream linkages of other regions outside the Alliance.
Upstream linkages of the automotive industry in the Alliance regions generate, on average, 20% of the total value added of the automotive industry of other regions outside the Alliance (e.g. Central Slovakia, Madrid and Cantabria). The uniqueness of this analysis is that it provides policymakers a deeper look into the EU territorial interdependencies of a specific industry (i.e. automotive) beyond the standard geographical country-wise definition.
Additional information
- Published by
- European Commission, Joint Research Centre
- Created date
- 2025-02-03
- Modified date
- 2025-11-19
- Issued date
- 2025-01-01
- Data theme(s)
- Economy and finance
- Update frequency
- irregular
- Identifier
- http://data.europa.eu/89h/dff29c8d-b85b-41fa-9cb7-7289c7324937
- Popularity
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