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This is a tool to search planned investments in European Structural and Investment Funds (ESIF) data (ERDF, CF, ESF and YEI). The tool contains data from the ESIF Operational Programmes (OP). The SFC platform from where the data is retrieved is a management tool for ESIF managing authorities (MAs) at national and regional level and the four ESIF managing DGs (REGIO, EMPL, AGRI, MARE). The data are entered by MAs, verified by DGs and if needed corrected by the MA. The amounts in this tool are presented at regional level and include data from regional OPs, but also shares of national and transnational cooperation programmes. The shares have been estimated by taking into account the population size of the regions and their development stage. Data depicted here are thus estimations of potential investments and do not reflect final investment figures. Therefore the amounts are rounded up. This tool and its development is based on the ICT monitoring tool.
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ESIF 2014-2020 Financial Plans (daily update) by country, operational programme, fund, category of region and year. For more information on the legal basis for ESI Funds 2014-2020, see: http://ec.europa.eu/regional_policy/en/information/legislation/regulations/ The annual financial plan by fund provides: - the planned EU annual "main" commitment amount; - the performance reserve commitment amount; - broken down by programme (for all ESI funds); - broken down by "category of region" for each ESF and ERDF "Investment for Growth and Jobs" programme (not available for other funds or programmes)
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TwitterInformace o realizovaných projektech/operacích Evropských strukturálních a investičních fondů
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Deze dataset biedt tijdreeksen informatie over de financiële uitvoering in het veld van de 530+ ESI-gefinancierde programma’s. De gegevens zijn cumulatief, d.w.z. de waarden voor 2016 omvatten de voor 2015 uitgevoerde financiën.
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This file contains categorisation data from the ERDF/ESF/Cohesion Fund programmes and in particular it compares PLANNED AMOUNTS TO IMPLEMENTED INVESTMENTS. The data will be updated regularly to reflect updated information transmitted. NEW 03/2020 - The Commission's COVID-19 response in 2020 involves encouraging reprogramming unallocated EU budget towards the COVID-19 health response and support to the economy, particularly through supporting SMEs and workers. Check out these data stories based on this dataset: - HEALTH: https://cohesiondata.ec.europa.eu/stories/s/In-profile-cohesion-policy-improving-health-servic/qyuv-h9j2 - SMEs: https://cohesiondata.ec.europa.eu/stories/s/An-Economy-that-works-for-people-Cohesion-Policy-s/n4ee-2h83 NEW 12/2018 - CLIMATE AND BIODIVERSITY TRACKING: In December 2018 the calculation of amounts planned, decided and spend on categorisation codes (weighted 100% and 40%) for climate tracking and biodiversity tracking were added to the dataset to allow full transparency on how investment under these tracking systems are progressing. Specially designed charts providing visualisations on these tracking systems are linked to the dataset below. NEW 12/2018 - OPERATIONS (projects) SELECTED: Also in December 2018 the number of operations (projects) linked to each categorisation value reported by priority axis is reflected in the dataset. In many cases programmes provide detailed categorisation information, reporting more than one intervention field code for a specific operation. While leading to more detailed thematic information it leads to multiple reporting of some operations. TIMING AND FREQUENCY: The categorisation system implementation values are reported once a year by the 350+ programmes at end January. It is then published in this dataset towards the end of February. Thereafter the data is updated regularly to reflect the updated information transmitted by the programmes. This dataset currently contains data to end-2016 and end- 2017. As the data is cumulative the **ANNUAL VALUES SHOULD NOT BE AGGREGATED *** but may be compared to see progress. STRUCTURE OF DATASET: The planned data is provided in tables one for each priority axis (investment pillar) of each programme. The categorisation systems is defined in Implementing Regulation 215/2014 with 8 dimensions in total - http://eur-lex.europa.eu/legal-content/EN/TXT/?uri=CELEX%3A32014R0215. These dimension represent different ways of categorising the nature of the EU support (i.e. the intervention (activity) field, the form of finance, the territorial context, etc.). In the programme documents only four4 dimensions were encoded for ERDF/ Cohesion Fund while five5 dimensions were encoded for ESF and can be found in the dataset. Data on three3 other dimensions is only provided in the implementation reports - Location, Economic Dimension, ERDF/CF Thematic Objective - and therefore there is no planned amount to compare. In analysing the content of the dataset THE DIFFERENT DIMENSIONS SHOULD BE ANALYSED SEPARATELY AS OTHERWISE DOUBLE COUNTING OF FINANCIAL AMOUNTS WILL OCCUR. This information note provides more detail on the categorisation system 2014-2020: http://ec.europa.eu/regional_policy/sources/docgener/informat/2014/guidance_categorisation_climate_en.pdf ANALYSING THEMATIC CONTENT AND PROGRESS: A second dataset found here - https://cohesiondata.ec.europa.eu/EU-Level/ESIF-2014-2020-Categorisation-Crosscutting-Themes-/xns4-t7ym - provides a lookup table for understanding how the Commission uses the intervention field codes to look at cross cutting issues such as investments in "innovation", "enterprise support", etc. That "lookup" dataset also has the "climate change tracking" and "biodiversity tracking" weightings.
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This dataset provides information on planned total and EU financing under the different European structural and investment (ESI) Funds (ESIF) (2014-2020) in current prices.
The data is taken from the adopted financial tables and is broken down by fund, programme, priority axis, thematic objective and category of region (more developed, less developed, etc. where available). It is updated daily to reflect any modifications (i.e; thematic reallocations) agreed between the Member States and the Commission.
The data cover the more than 530 programmes and includes the EU and national co-financing covered by the adoption decision. Financial allocations in the programme financial table may change over time (i.e. transfers between themes, between funds). The first wave of major changes took place at end 2017 as a result of the allocation of the "technical adjustment" and the increase in the allocation to the Youth Employment initiative.
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This data set provides information on the indicative list of major projects from the ERDF and Cohesion Fund programmes 2014-2020 and details on the projects so far presented for the approval of the Commission. The data set will be updated regularly to reflect changes in the programme lists and major project notifications. Financial Data is in current prices. ‘Major Projects’ are usually large-scale infrastructure projects in the transport and environment sectors, but some may also involve investments in the energy, research, ICT and other sectors supported by the ERDF or the Cohesion Fund. The total eligible cost for a project to be designated "major" is generally more than € 50 million, but € 75m for transport and energy networks under Thematic Objective 7 - Transport and other strategic networks. Due to their scale and importance the planned major projects are specifically listed in the Operational Programmes and are then subject to an assessment and a specific approval by the European Commission on the basis of documentation including Cost-Benefit Analysis and feasibility studies. To facilitate their assessment various procedures for sending major projects to the Commission are provided for. (There are separate procedures for projects phased between different financing periods). The Member States are recommended to use independent experts (from the JASPERS initiative) to appraise their projects. If downloading, check the format of financial amounts and where necessary change you regional settings and default formatting in your chosen software. You can check the results of your aggregation of the financial data by comparing results with the pre-formatted charts profiled on this metadata page under “featured content”.
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TwitterJANUARY 2025: As of January 2025 a new EC IT accounting system is rolled out. EU payment updates will not be published while the new IT system is tested. The data below reflects the position as of end 2024. The daily updating will resume after full and successful roll-out of the underlying systems. This dataset presents information on EU payments to the ESI Funds programmes as well as to FEAD, IPA-E and ENI supported programmes. Annual snapshots are provided in the data and therefore the data must be filtered by year to have an accurate view of the total EU planned amount and payments made. Data is reported on cumulative basis, i.e. the amounts shown in 2017 represent the cumulative payments made from the beginning of the programming period (2014-2017 up to date). The dataset is updated on a daily basis.
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🇪🇺 European Union English This file contains "categorisation data" from the ERDF/ESF/Cohesion Fund programmes as adopted (including modifications). The data is in current prices. It is regularly updated to reflect reprogramming notified by the programmes. The data is provided in tables, one for each priority axis (investment pillar), for each specific programme. The categorisation system is defined in Implementing Regulation 215/2014 with 8 dimensions - http://eur-lex.europa.eu/legal-content/EN/TXT/?uri=CELEX%3A32014R0215. These dimension represent different ways of categorising the nature of the EU support (i.e. the intervention (activity) field, the form of finance, the territorial context, etc.). In the programme documents only 4 dimensions were encoded for ERDF/ Cohesion Fund while 5 dimensions were encoded for ESF and can be found in the dataset. In analysing the content of the dataset the different dimension should be analysed separately - NEVER AGGREGATE VALUES ACROSS DIMENSIONS as otherwise double counting of the financial amounts will occur. A second dataset found here - https://cohesiondata.ec.europa.eu/EU-Level/ESIF-2014-2020-Categorisation-Crosscutting-Themes-/xns4-t7ym - provides a lookup table for understanding how the Commission uses the intervention field codes to look at cross cutting issues such as investments in "innovation", "enterprise support", etc. That lookup dataset also has the "climate change tracking" weightings and a similar weighting system for "biodiversity tracking". The Intervention field dimension is the most complete of the the different dimensions in terms of financial coverage. (NB although the SME initiative programmes were not asked to provide categorisation tables, because of simplified programming requirements, they have been manually added by DG REGIO.) The total investments under other dimension may vary for different reasons (i.e. Technical assistance priority axes are not encoded in all dimensions, etc.) If downloading, check the format of financial amounts and where necessary change your regional settings and default formatting in your chosen software. You can check the results of your aggregation of the financial data by comparing results with the pre-formatted charts profiled on this metadata page under “featured content”.
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This dataset was created by Md. Appel Mahmud Pranto
Released under Database: Open Database, Contents: © Original Authors
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TwitterInformace o realizovaných projektech/operacích Evropských strukturálních a investičních fondů
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TwitterEsif Burkina Faso Export Import Data. Follow the Eximpedia platform for HS code, importer-exporter records, and customs shipment details.
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Greece GR: HERD: % of GDP data was reported at 0.436 % in 2023. This records an increase from the previous number of 0.436 % for 2022. Greece GR: HERD: % of GDP data is updated yearly, averaging 0.274 % from Dec 1981 (Median) to 2023, with 32 observations. The data reached an all-time high of 0.473 % in 2020 and a record low of 0.022 % in 1981. Greece GR: HERD: % of GDP data remains active status in CEIC and is reported by Organisation for Economic Co-operation and Development. The data is categorized under Global Database’s Greece – Table GR.OECD.MSTI: Gross Domestic Expenditure on Research and Development: OECD Member: Annual.
In Greece, in 2011, the following methodological improvements resulted in a break in series: in the business enterprise sector, a new population frame was defined to cover all R&D-performing firms; in the government sector, the coverage was extended to also cover public hospitals as well as all institutions administered by the Ministry of Culture; in the higher education sector, all Technological Educational Institutes (TEI) and post-secondary establishments were included. These methodological changes were also applied to estimate the total GERD, BERD, GOVERD, and HERD between 2008 and 2010.
The methods for estimating R&D in the Higher Education sector changed in 1983, 1989, and 1995.
From 2023 onwards, the EU contribution regarding projects financed by European Structural and Investment Funds (ESIF) is no longer included in GBARD data. From 2008, GBARD data are exclusively based on R&D funders. Part of the increase in 2008 is also explained by a better identification of GBARD for cultural and archaeological activities.
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This dataset provides the planned EU allocation to categorisation system codes as adopted in ERDF, CF and ESF programmes at the end 2008 and the end of 2015. The values at the moment of closure of the period 2007-2013 are provided in this dataset: https://cohesiondata.ec.europa.eu/2007-2013/ESIF-2007-2013-categorisation-raw-data-from-closur/qt3c-wiyg Each row presents a volume of EU support allocated to a categorisation dimension codes. The programme documents only provided planned financial information on three dimensions, namely; - Priority themes (actions supported) - Form of Finance (grants, loans, etc.) - Territorial context (urban, rural, etc.) The full categorisation information system 2007-2013 was composed of 5 dimension providing information on: - Priority themes (activities supported) - Form of Finance - Territorial context - Location (NUTS codes) - Economic Dimension Information on the last two dimensions was not provided in the programmes but only in the annual reporting. This data is of interest because it allows an analysis of time of the planned use of the EU support by 3 different dimensions. I show the detailed changes in thematic allocation between 2008 and 2015 allowing to look re-progamming. More background information on the categorisation system 2007-2013 is available here: http://ec.europa.eu/regional_policy/en/policy/evaluations/data-for-research/
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Greece GR: Defence Budget R&D: % of Total GBARD data was reported at 1.732 % in 2023. This records a decrease from the previous number of 1.748 % for 2022. Greece GR: Defence Budget R&D: % of Total GBARD data is updated yearly, averaging 1.247 % from Dec 1981 (Median) to 2023, with 42 observations. The data reached an all-time high of 3.443 % in 1984 and a record low of 0.089 % in 2015. Greece GR: Defence Budget R&D: % of Total GBARD data remains active status in CEIC and is reported by Organisation for Economic Co-operation and Development. The data is categorized under Global Database’s Greece – Table GR.OECD.MSTI: Government Budgets for Research and Development: OECD Member: Annual.
In Greece, in 2011, the following methodological improvements resulted in a break in series: in the business enterprise sector, a new population frame was defined to cover all R&D-performing firms; in the government sector, the coverage was extended to also cover public hospitals as well as all institutions administered by the Ministry of Culture; in the higher education sector, all Technological Educational Institutes (TEI) and post-secondary establishments were included. These methodological changes were also applied to estimate the total GERD, BERD, GOVERD, and HERD between 2008 and 2010.
The methods for estimating R&D in the Higher Education sector changed in 1983, 1989, and 1995.
From 2023 onwards, the EU contribution regarding projects financed by European Structural and Investment Funds (ESIF) is no longer included in GBARD data. From 2008, GBARD data are exclusively based on R&D funders. Part of the increase in 2008 is also explained by a better identification of GBARD for cultural and archaeological activities.
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Vocabulary to describe an Exif format picture data. All Exif 2.2 tags are defined as RDF properties, as well as several terms to help this schema. @en
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TwitterThis file contains enterprise related "categorisation data", showing the total programmed/reprogrammed amounts and the increases / decreases, from the ERDF/ESF programmes as adopted since 1/2/2020 mainly in response to the COVID-19 pandemic. The data is in current prices. It is updated daily to reflect reprogramming by the programmes. Parameters: - Funds : ERDF and ESF - Categories of intervention (24) codes : 001, 002, 003, 004, 056, 057, 062, 063, 064, 065, 066, 067, 068, 069, 070, 071, 072, 073, 074, 075, 076, 077, 104, 106. - Lower limit date: 31/01/2020 - Upper limit date: current date The categorisation system is defined in Implementing Regulation 215/2014 with 8 dimensions - http://eur-lex.europa.eu/legal-content/EN/TXT/?uri=CELEX%3A32014R0215. These dimension represent different ways of categorising the nature of the EU support (i.e. the intervention (activity) field, the form of finance, the territorial context, etc.). In this report only the health Intervention Fields are presented. If downloading, check the format of financial amounts and where necessary change your regional settings and default formatting in your chosen software. You can check the results of your aggregation of the financial data by comparing results with the pre-formatted charts profiled on this metadata page under “featured content”.
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This dataset provides the raw cumulative categorisation data on the projects selected for support as reported in the 322 ERDF/CF programme annual Implementation reports (AIR) as at end 2014. The dataset is not a final picture of what was financed during 2007-2013. The values at the moment of closure of the period 2007-2013 are provided in this dataset: https://cohesiondata.ec.europa.eu/2007-2013/ESIF-2007-2013-categorisation-raw-data-from-closur/qt3c-wiyg Each row presents a volume of EU support allocated to selected projects along with a combination of categorisation dimension codes. The Categorisation information system 2007-2013 was composed of 5 dimension providing information on: - Priority themes (activities supported) - Form of Finance - Territorial context - Location (NUTS codes) - Economic Dimension This raw data is of interest because it allows cross analysis of the different dimensions to answer questions such as: - Which industries were supported under enterprise support measures? - (Comparing Priority themes vs Economic dimension) - What sectors benefited from support to research activities - What form of finance was used to deliver support to energy efficiency measures? - (comparing form of finance vs Priority theme) More background information on the categorisation system 2007-2013 is available here: http://ec.europa.eu/regional_policy/en/policy/evaluations/data-for-research/
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This is a tool to search planned investments in European Structural and Investment Funds (ESIF) data (ERDF, CF, ESF and YEI). The tool contains data from the ESIF Operational Programmes (OP). The SFC platform from where the data is retrieved is a management tool for ESIF managing authorities (MAs) at national and regional level and the four ESIF managing DGs (REGIO, EMPL, AGRI, MARE). The data are entered by MAs, verified by DGs and if needed corrected by the MA. The amounts in this tool are presented at regional level and include data from regional OPs, but also shares of national and transnational cooperation programmes. The shares have been estimated by taking into account the population size of the regions and their development stage. Data depicted here are thus estimations of potential investments and do not reflect final investment figures. Therefore the amounts are rounded up. This tool and its development is based on the ICT monitoring tool.