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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. Closure of the period 2007-2013 will be finalised later in 2017.
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
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)
- 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/
Updated
October 23 2018
Views
861
Updated
October 22 2018
Views
859
The categorisation system for Cohesion Policy Funds 2014-2020 (ERDF, ESF and Cohesion Fund) foresees 123 Intervention Field codes for the actions or activities financed by the three Funds. The planned allocation to those codes provide detailed thematic / sectoral information on the planned investments by theme.
The planned financial allocations are to be found in this dataset https://cohesiondata.ec.europa.eu/dataset/ESIF-2014-2020-categorisation-ERDF-ESF-CF/9fpg-67a4
This lookup dataset maps the 123 intervention field codes to higher level "cross cutting" themes such as "climate change", "innovation" "enterprise support" and others combinations. It provides the Commission"s recommend list of codes to be used when assessing the financial allocations to these cross cutting themes.
The dataset also identifies the codes that are taken into account for the tracking of Climate change action along with the weightings applied.
The dataset also identifies the codes that are taken into account for the tracking of Climate change action along with the weightings applied.
Updated
October 23 2018
Views
800
Cohesion policy is the EU’s main investment policy, providing funding equivalent to 8.5% of government capital investment in the EU, a figure which rises to 41% for the EU 13 and to over 50% for a number of countries.
This figure compares the allocations of Cohesion Policy per Member State to public investment (Gross fixed capital formation by general government).
The source for the allocations is the cohesion open data platform and for public investment it is Eurostat and ECFIN AMECO.
The source for the allocations is the cohesion open data platform and for public investment it is Eurostat and ECFIN AMECO.
Updated
October 23 2018
Views
792
The Regional Competitiveness Index (RCI) has been measuring the major factors of competitiveness over the past ten years for all the NUTS-2 level regions across the European Union. The Index measures with more than 70 comparable indicators the ability of a region to offer an attractive and sustainable environment for firms and residents to live and work.
Updated
September 26 2019
Views
750
Updated
April 30 2019
Views
598
Per thousands inhabitants (annual average)
EU-28 = 3.64
HR: 2002-2011
EU-28 = 3.64
HR: 2002-2011
Source: Eurostat
Tags
No tags assigned
Updated
October 23 2018
Views
580
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.
Each row presents a volume of EU support allocated to a 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
- Priority themes (activities supported)
- Form of Finance
- Territorial context
- Location (NUTS codes)
- Economic Dimension
The programme documents only provided planned financial information on three dimensions, namely;
- Priority themes (activities supported)
- Form of Finance
- Territorial context
- Priority themes (activities supported)
- Form of Finance
- Territorial context
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.
More background information on the categorisation system 2007-2013 is available here: http://ec.europa.eu/regional_policy/en/policy/evaluations/data-for-research/
More background information on the categorisation system 2007-2013 is available here: http://ec.europa.eu/regional_policy/en/policy/evaluations/data-for-research/
Updated
October 31 2018
Views
572
Updated
October 23 2018
Views
494
The data available provides ** VALUES BY PROGRAMME ** for outputs under 18 core indicators reported by over 300 ERDF/CF programmes across the EU.
[The aggregated country achievements values for the 4 years 2012-2015 are provided in a separate dataset: https://cohesiondata.ec.europa.eu/dataset/2007-2013-ERDF-CF-achievements-core-Indicators-tot/w9mt-s8si ]
Last data update: March 2018.
[The aggregated country achievements values for the 4 years 2012-2015 are provided in a separate dataset: https://cohesiondata.ec.europa.eu/dataset/2007-2013-ERDF-CF-achievements-core-Indicators-tot/w9mt-s8si ]
Last data update: March 2018.
The values reported relate to achievements tracked in monitoring systems as reported by projects financed with EU investments in the period 2007-2015.
For three Member States - Croatia, Romania and Slokavia - the final values may include projects finances also in 2016 under specific provisions; in those cases the final values are nonetheless reported as "2015" in order to allow aggregation.
For three Member States - Croatia, Romania and Slokavia - the final values may include projects finances also in 2016 under specific provisions; in those cases the final values are nonetheless reported as "2015" in order to allow aggregation.
1. BACKGROUND:
After the negotiations on the ERDF and Cohesion Fund operational programmes (OPs) for 2007-2013, the Commission recommended the use of 'core indicators' for the main intervention areas. Core indicators can be used to compare and aggregate data across similar priorities or measures. Reporting on core indicators was not a legal obligation in 2007-2013. As a pilot, voluntary exercise it allowed the Member States (MS) and the Commission to establish reporting routines and detecting practical reporting issues. The effort undertaken to report against core indicators has improved accountability in the use of the Funds. Strategic reports were submitted by the MS twice in the course of the programming period (in 2009 and 2012), including core indicator data to communicate progress towards achieving policy objectives. Thanks to the use of core indicators, this was the first programme period in which indicator data could be aggregated and analysed across programmes.
After the negotiations on the ERDF and Cohesion Fund operational programmes (OPs) for 2007-2013, the Commission recommended the use of 'core indicators' for the main intervention areas. Core indicators can be used to compare and aggregate data across similar priorities or measures. Reporting on core indicators was not a legal obligation in 2007-2013. As a pilot, voluntary exercise it allowed the Member States (MS) and the Commission to establish reporting routines and detecting practical reporting issues. The effort undertaken to report against core indicators has improved accountability in the use of the Funds. Strategic reports were submitted by the MS twice in the course of the programming period (in 2009 and 2012), including core indicator data to communicate progress towards achieving policy objectives. Thanks to the use of core indicators, this was the first programme period in which indicator data could be aggregated and analysed across programmes.
2. USING THE DATA:
The data is provided by programme in annual cumulative time series 2012-2015 where values were reported. Annual value can be compare but **SHOULD NOT BE AGGREGATED** as they are already cumulative.
The data is provided by programme in annual cumulative time series 2012-2015 where values were reported. Annual value can be compare but **SHOULD NOT BE AGGREGATED** as they are already cumulative.
3. SCOPE OF THE DATA:
As part of the ex-post evaluation the reported indicators values for 2012 and 2013 available were examined in 2014-2015 by independent consultants. The synthesis report of their work (March 2015) is available here: http://ec.europa.eu/regional_policy/en/policy/evaluations/ec/2007-2013/#1
The values for 2014 and 2015 were established by DG REGIO by comparing the values reported by the programme authorities for those years with the work of the consultant on the values reported for 2012 and 2013 and compiling a picture of the progress. The 2015 data is derived from the final report programme reports received in March 2017.
The following is the list of "core indicators" that were examined and can be found in the dataset when used and reported by the programmes:
CO04 Number of RTD projects (N° projects)
CO05 Number of cooperation project enterprises-research institutions (N° projects)
CO06 Research jobs created (FTE)
CO07 Number of direct investment aid projects to SME (Number)
CO08 Number of start-ups supported (Enterprises)
CO09 Jobs created in SME (gross, full time equivalent) (FTE)
CO12 Additional population covered by broadband access (people)
CO14 km of new roads (km)
CO15 km of TEN roads (new and reconstructed) (km)
CO16 km of reconstructed roads (km)
CO17 km of new railroads (km)
CO18 km of TEN railroads (new and reconstructed) (km)
CO19 km of reconstructed railroads (km)
CO24 Additional capacity of renewable energy production (MW)
CO25 Additional population served by water projects (people)
CO26 Additional population served by waste water projects (people)
CO29 Area rehabilitated (km2)
CO35 Number of jobs created in tourism (FTE)
CO04 Number of RTD projects (N° projects)
CO05 Number of cooperation project enterprises-research institutions (N° projects)
CO06 Research jobs created (FTE)
CO07 Number of direct investment aid projects to SME (Number)
CO08 Number of start-ups supported (Enterprises)
CO09 Jobs created in SME (gross, full time equivalent) (FTE)
CO12 Additional population covered by broadband access (people)
CO14 km of new roads (km)
CO15 km of TEN roads (new and reconstructed) (km)
CO16 km of reconstructed roads (km)
CO17 km of new railroads (km)
CO18 km of TEN railroads (new and reconstructed) (km)
CO19 km of reconstructed railroads (km)
CO24 Additional capacity of renewable energy production (MW)
CO25 Additional population served by water projects (people)
CO26 Additional population served by waste water projects (people)
CO29 Area rehabilitated (km2)
CO35 Number of jobs created in tourism (FTE)
The indicator "CO00 Aggregated Jobs (FTE)" found in the dataset is the result of calculations made by DG REGIO to provide a corrected aggregate value for indicators CO01, CO06, CO09 and CO35. In examining the data reported it became clear that CO01 was often not a correct
Updated
October 23 2018
Views
447
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