IDEAS home Printed from https://ideas.repec.org/p/ipt/iptwpa/jrc127403.html
   My bibliography  Save this paper

Erdf Beneficiaries Dataset 2014-2020: An Overview For Policy-Makers

Author

Listed:

Abstract

The European Regional Development Fund (ERDF) aims to strengthen economic, social and territorial cohesion in Europe by correcting imbalances between its regions. Both the governance of the ERDF as well as its widespread territorial coverage require a significant effort in gathering complete statistical information from many different national sources on its beneficiaries. In order to support analytical and impact assessment activities, the research collaboration between JRC and WIFO led to the construction of a unique dataset with around 600.000 ERDF projects in the EU27 plus United Kingdom during the programming period 2014-2020. The dataset includes financial information standardised and comparable across Member States based on existing taxonomies. Data include a brief description of the projects, their location at regional level, and name of beneficiaries, among other relevant information. Projects are classified by Key Enabling Technologies, Societal Grand Challenges, energy areas and by objectives of the EU Mission Ocean. Data on funded projects are particularly relevant for policy evaluation and monitoring since they allow complementing macro-statistical information and provide additional insights into regional specialisation and funding patterns / impacts.

Suggested Citation

  • BACHTRÖGLER-UNGER Julia & MARQUES SANTOS Anabela & CONTE Andrea, 2021. "Erdf Beneficiaries Dataset 2014-2020: An Overview For Policy-Makers," JRC Research Reports JRC127403, Joint Research Centre.
  • Handle: RePEc:ipt:iptwpa:jrc127403
    as

    Download full text from publisher

    File URL: https://publications.jrc.ec.europa.eu/repository/handle/JRC127403
    Download Restriction: no
    ---><---

    More about this item

    Keywords

    Dataset; ERDF; programming period 2014-2020;
    All these keywords.

    NEP fields

    This paper has been announced in the following NEP Reports:

    Statistics

    Access and download statistics

    Corrections

    All material on this site has been provided by the respective publishers and authors. You can help correct errors and omissions. When requesting a correction, please mention this item's handle: RePEc:ipt:iptwpa:jrc127403. See general information about how to correct material in RePEc.

    If you have authored this item and are not yet registered with RePEc, we encourage you to do it here. This allows to link your profile to this item. It also allows you to accept potential citations to this item that we are uncertain about.

    We have no bibliographic references for this item. You can help adding them by using this form .

    If you know of missing items citing this one, you can help us creating those links by adding the relevant references in the same way as above, for each refering item. If you are a registered author of this item, you may also want to check the "citations" tab in your RePEc Author Service profile, as there may be some citations waiting for confirmation.

    For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: Publication Officer (email available below). General contact details of provider: https://edirc.repec.org/data/ipjrces.html .

    Please note that corrections may take a couple of weeks to filter through the various RePEc services.

    IDEAS is a RePEc service. RePEc uses bibliographic data supplied by the respective publishers.