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EU Level
Filtered View
This dataset presents information on EU payments to the Regional Policy 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.
Tags regional policy 2014-2020 eu payment eu countries erdf and 2 more
API Docs
Created
May 3 2018
Views
776

2007 / 2013 Indicators
Dataset
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 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.
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.
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.
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)
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
Tags core core indicators 2007-2013 cohesion policy achievements and 3 more
API Docs
Created
April 27 2018
Views
1,696

Chart
The data available provides **national values** for outputs under 18 core indicators reported by over 300 ERDF/CF programmes across the EU.
[The disaggregated programme achievements values for the 4 years 2012-2015 are provided in a separate dataset: https://cohesiondata.ec.europa.eu/EU-Level/2007-2013-ERDF-CF-achievements-core-indicators-by-/dsvh-4gnx ]
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 outputs from 2016 under specific extensions provided; in those cases the final values are nonetheless tagged 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.
2. USING THE DATA:
The data is provided by Member State in annual cumulative time series 2009-2015 where values were reported. Annual value can be compared but **SHOULD NOT BE AGGREGATED** as they are already cumulative.
The dataset also includes annual aggregate values at EU level. If aggregating values from the dataset **DO NOT AGGREGATE THE EU TOTALS AND NATIONAL VALUES** in order to avoid double counting.
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)
The indicator "CO00 Aggregated Jobs (FTE)" found in the dataset is the result
Tags No tags assigned
Created
April 24 2018
Views
831

EU Level
Chart
Tags No tags assigned
Created
April 23 2018
Views
237

EU Level
Chart
1. PURPOSE: This dataset provides, in a single source, regionalised (NUTS-2) annual EU expenditure data for specific EU funds - ERDF, Cohesion Fund, EAFRD/EAGGF and ESF. This data can be used, among other purposes, to facilitate analysis on the effects of the EU funds.

In terms of the regionalisation of EU payments made, this work expands and replaces datasets previous published on the ERDF and Cohesion fund with additional years and additional EU funds.
The following studies on ERDF and Cohesion fund expenditure are to a large extent now superseded:
- "Geography of expenditure" Work Package 13 of the ERDF and CF ex-post evaluation 2007-2013 - http://ec.europa.eu/regional_policy/en/policy/evaluations/ec/2007-2013/#13
- "Final Report - ERDF and CF Regional Expenditure" (2000-2006) - SWECo 2008 - http://ec.europa.eu/regional_policy/sources/docgener/evaluation/pdf/expost2006/expenditure_final.pdf
- "The Territorial Effects of the Structural Funds" (1994-1999) - ESPON 2005, study 2.2.1 - http://www.espon.eu/main/Menu_Projects/Menu_ESPON2006Projects/Menu_PolicyImpactProjects/structuralfundsimpact.html

The dataset does not contain any identification of the thematic nature of the investments made. This is because there was no harmonised system or information available across funds and across programme periods to estimate the thematic composition of the investments. For the ERDF and Cohesion Fund the studies cited above provided some thematic information for specific programme periods.

2. SCOPE

2.1 REGIONALISATION: This dataset provides the most complete historic picture available to date on the annual EU payments made under different shared management funds mapped to or estimated by NUTS-2 regions;
=> presented in the column "EU_payment_annual".

The work undertaken to regionalise the payment data is predominantly based on the NUTS-2013 version as described in the final report of the 2016 WIIW study (link below). In case the EU funded programmes covered more than one NUTS-2 region the regionalisation of the payments was carried out using either (1) regionalised data provided by the managing authorities or (2) the application of certain apportioning rules to the payments in order to estimate the share of the payment by NUTS-2 region.

In regionalising the data, information on the specific national or regional funding programme, which were the source of the payments, was not retained in the processing of the dataset.

2.2 MODELLING OF “REAL” EXPENDITURE: The yearly breakdown of the dataset follows the cycle of the European Commission payments to the Member States and not the date on which real expenditures took place on the ground. This characteristic may negatively affect any subsequent analytic work to carry out policy assessments.

In order to develop a more realistic estimate of the annual profile of real expenditure, the Commission tasked BERGEN to undertake work to develop a modelling of the “real” annual expenditure on the ground, and to test the robustness and sensitivity of assumptions used (see link to final report below).
=> the modelled real expenditure is presented in the column "Modelled_annual_EU_payments" and it represents the mean of 100 000 simulations on the annual EU payments to estimate real expenditure.
=> The column "Standard_Deviation" provides the standard deviation of the “modelled_annual_EU_payments" which is the root mean square of the
Tags No tags assigned
Created
April 20 2018
Views
803

EU Level
Chart
1. PURPOSE: This dataset provides, in a single source, regionalised (NUTS-2) annual EU expenditure data for specific EU funds - ERDF, Cohesion Fund, EAFRD/EAGGF and ESF. This data can be used, among other purposes, to facilitate analysis on the effects of the EU funds.

In terms of the regionalisation of EU payments made, this work expands and replaces datasets previous published on the ERDF and Cohesion fund with additional years and additional EU funds.
The following studies on ERDF and Cohesion fund expenditure are to a large extent now superseded:
- "Geography of expenditure" Work Package 13 of the ERDF and CF ex-post evaluation 2007-2013 - http://ec.europa.eu/regional_policy/en/policy/evaluations/ec/2007-2013/#13
- "Final Report - ERDF and CF Regional Expenditure" (2000-2006) - SWECo 2008 - http://ec.europa.eu/regional_policy/sources/docgener/evaluation/pdf/expost2006/expenditure_final.pdf
- "The Territorial Effects of the Structural Funds" (1994-1999) - ESPON 2005, study 2.2.1 - http://www.espon.eu/main/Menu_Projects/Menu_ESPON2006Projects/Menu_PolicyImpactProjects/structuralfundsimpact.html

The dataset does not contain any identification of the thematic nature of the investments made. This is because there was no harmonised system or information available across funds and across programme periods to estimate the thematic composition of the investments. For the ERDF and Cohesion Fund the studies cited above provided some thematic information for specific programme periods.

2. SCOPE

2.1 REGIONALISATION: This dataset provides the most complete historic picture available to date on the annual EU payments made under different shared management funds mapped to or estimated by NUTS-2 regions;
=> presented in the column "EU_payment_annual".

The work undertaken to regionalise the payment data is predominantly based on the NUTS-2013 version as described in the final report of the 2016 WIIW study (link below). In case the EU funded programmes covered more than one NUTS-2 region the regionalisation of the payments was carried out using either (1) regionalised data provided by the managing authorities or (2) the application of certain apportioning rules to the payments in order to estimate the share of the payment by NUTS-2 region.

In regionalising the data, information on the specific national or regional funding programme, which were the source of the payments, was not retained in the processing of the dataset.

2.2 MODELLING OF “REAL” EXPENDITURE: The yearly breakdown of the dataset follows the cycle of the European Commission payments to the Member States and not the date on which real expenditures took place on the ground. This characteristic may negatively affect any subsequent analytic work to carry out policy assessments.

In order to develop a more realistic estimate of the annual profile of real expenditure, the Commission tasked BERGEN to undertake work to develop a modelling of the “real” annual expenditure on the ground, and to test the robustness and sensitivity of assumptions used (see link to final report below).
=> the modelled real expenditure is presented in the column "Modelled_annual_EU_payments" and it represents the mean of 100 000 simulations on the annual EU payments to estimate real expenditure.
=> The column "Standard_Deviation" provides the standard deviation of the “modelled_annual_EU_payments" which is the root mean square of the
Tags No tags assigned
Created
April 20 2018
Views
6,921

2014 / 2020
Chart
This dataset provides information on planned (planned) financing under the different ESI Funds (2014-2020). The data is taken from the adopted financial tables (updated daily) and is broken down by fund, programme, priority axis, thematic objective and category of region (more developed, less developed, etc. where available).

The data cover the more than 530 programmes available (adopted) 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 will take 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.

- For ERDF, ESF and CF the "priority" columns relate to the priority axis (financing blocks) in the programmes; the "investment priority" relates to the fixed lists of defined investment objectives set in the three specific fund Regulations.
- For the European Agricultural fund for Rural Development (EAFRD) detail is also provided by EAFRD "Focus areas" and "Measures" (the EAFRD Focus Areas are detailed in the EAFRD fund regulation - Article 5 and the EAFRD measures in Article 13-40 of the relevant Implementing Regulation).
Tags No tags assigned
Created
March 27 2018
Views
5,186

Chart
Last Update: October 2016. The data available measures some of the direct outputs under 11 core indicators as reported by over 300 ERDF/CF programmes across the EU. The data is preliminary as the programmes continued their activities to finalise all projects during 2015. The Commission will received the final statements of achievements in March 2017.
Tags No tags assigned
Created
March 27 2018
Views
71

Filtered View
Last Update: October 2016. The data available measures some of the direct outputs under 11 core indicators as reported by over 300 ERDF/CF programmes across the EU. The data is preliminary as the programmes continued their activities to finalise all projects during 2015. The Commission will received the final statements of achievements in March 2017.
Tags core indicators 2007-2013 cohesion policy dg regional and urban policy
API Docs
Created
March 27 2018
Views
140

Data Lens
Last Update: October 2016. The data available measures some of the direct outputs under 11 core indicators as reported by over 300 ERDF/CF programmes across the EU. The data is preliminary as the programmes continued their activities to finalise all projects during 2015. The Commission will received the final statements of achievements in March 2017.
Tags No tags assigned
Created
March 27 2018
Views
140