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Further publications: Julia Bachtrögler-Unger (14 hits)

Unsere Studie entwickelt einen neuen Ansatz, um die lokalen Wachstumseffekte der EU-Regionalpolitik seit 2007 zu untersuchen. Für eine ausgewählte Pilotregion im Grenzgebiet zwischen Deutschland, Polen und Tschechien kombinieren wir erstmals einen Mikrodatensatz zum Erhalt von EU-Förderung auf Projektebene mit Fernerkundungsdaten verschiedener Satelliten. Dabei wird das Wachstum der regionalen Wirtschaft über Änderungen in der Intensität der jährlichen Nachtlichtemissionen erfasst. Auf Gemeindeebene lässt sich zeigen, dass der Erhalt höherer Förderbeträge mit höherem Wachstum einhergeht. Die Ergebnisse dieses Projekts verdeutlichen, wie Fernerkundungsdaten effektiv genutzt werden können, um die kleinräumigen Auswirkungen regionaler Wirtschaftsförderung auch im gesamteuropäischen Kontext zu quantifizieren.
Over the course of the 2014-2020 period, the European Union has invested more than 125 billion € into support to research and innovation through two main channels: the excellence-based Horizon 2020 programme and its cohesion policy implemented through the European Structural and Investment Funds (ESIF) and in particular the European Regional Development Fund (ERDF). While projects funded by ESIF are selected in the context of place-based operational programmes and smart specialisation strategies (S3), Horizon 2020 grants are assigned based on the quality of the project proposals and consortia without any geographical criteria. A concentration of R&I funding from both funding schemes in the same technological or policy area could point to the creation of a synergy between EU funding as suggested by the concept of smart specialisation and encouraged by the European Commission. This report uses project data to analyse the regional distribution of Horizon 2020 and ESIF funding among key enabling technologies and societal grand challenges and to map potential synergies between different EU funding policies.
This non-technical article promotes the use of project-level data for monitoring and the evaluation of EU research and innovation policy. First, a new dataset of R&I-related projects co-funded by the ERDF during the multi-annual financial framework 2014-2020 is introduced. Second, this data is used, together with Horizon 2020 project information, in order to explore interlinkages between the funding schemes in terms of thematic priorities as well as beneficiaries. On average, 15 percent of ERDF projects could be identified as being carried out by a beneficiary that also receives funds from the Horizon 2020 programme.
Robert Stehrer, Roman Stöllinger, Gábor Hunya, Doris Hanzl-Weiss, Mario Holzner, Oliver Reiter, Margit Schratzenstaller, Julia Bachtrögler-Unger, Veronika Kubeková, Roland Blomeyer
Study requested by the European Parliament's BUDG Committee.
When assessing the benefits Member States (MS) receive from the European Union (EU) budget, they primarily focus on their individual net positions, i.e. the net balance between their national contributions and the transfers received from the EU budget. This "just retour" thinking is associated with several limitations and problems and completely neglects the benefits accruing to MS beyond the pure financial streams related to the EU budget. MS may enjoy the indirect benefits that are related to the various interventions and policies financed from the EU budget. Benefits may be also created for the EU as a whole in the case of policies coordinated and financed by the EU, replacing or complementing individual un-coordinated action at MS level and thus creating additional added value through making use of synergies. MS also benefit from intra-EU direct investments, intra-EU trade and the EU’s network effects. Therefore, the net position view could be complemented by additional indicators providing a more comprehensive picture of the overall benefits resulting for MS from the EU membership and budget and several reform options within the EU budget could help to overcome the net position view.
Over the 2014-2020 financial period, 451 billion € of ESIF are invested in Cohesion policies, of which more than 40 billion € are dedicated directly to the thematic objective related to research and innovation. Among ESIF funds, ERDF is the main source of funding of Innovation through the implementation of smart specialisation strategies with a management shared between the Commission and the regional or national authorities. In this respect the monitoring and the evaluation of ESIF are implemented at regional or national level. At European Commission level, monitoring of cohesion policy is carried out mainly at operational programme (OP) level, meaning only very limited information is available at project and beneficiaries' level, also with partly low accuracy in terms of geographical information (OP can be national or in some cases multiregional). Reporting at project and beneficiary level is carried out through national or regional databases gathering information on beneficiaries (type of organisation, localisation, etc.) and details on funded projects (e.g., titles and abstracts and possibly other additional info depending the territory). Conversely to Horizon 2020 and due to the shared management, a complete structured database of ESIF projects does not exist. While information on ESIF beneficiaries and projects is recorded, this is held by individual regional or national managing authorities. Gathering this information on projects and beneficiaries in a single structured database would greatly benefit policy monitoring and evaluation, and the identification and creation of synergies with Horizon 2020 funding. This database would also feed ex-ante impact assessment analysis for the future multi-annual financial period (2021-2027), for the future cohesion policies and Horizon-Europe programme. The design of a structured and comprehensive database of projects funded by ERDF for the period 2014-2018 is based on the systematic collection of all information available at national and regional levels. The whole content of the database is translated to English (including project titles and abstracts) using European Commission Machine translation tool. The database offers also additional information such as keywords associated to each project in order to be able to bridge easily information contained in the ERDF projects database with, among others, Eye@RIS3 and the Horizon 2020 database. This report explains the origins of the information, the processing of collected information and the proxies used to obtain the most complete and comprehensive picture as possible of what has been supported through ERDF funding since 2014.
Die Europäische Union investiert jährlich mehr als 50 Mrd. € in die Förderung der wirtschaftlichen Entwicklung, Wettbewerbsfähigkeit und Attraktivität europäischer Regionen und Städte. Die EU-Regionalpolitik verfolgt das Ziel, durch gezielte Förderungen zu einer Steigerung des wirtschaftlichen Wachstums, der Beschäftigung und der Lebensqualität in allen europäischen Regionen beizutragen. In diesem Policy Brief wird der Frage nachgegangen, ob die Bürger und Bürgerinnen in jenen Regionen, in denen die EU-Regionalpolitik zu zusätzlichem Beschäftigungswachstum führt, auch tatsächlich proeuropäischer eingestellt sind und ihre Wahlentscheidung dementsprechend treffen. Untersucht wird die Frage anhand der französischen Präsidentschaftswahl im Jahr 2017 und des Wahlerfolges der euroskeptischen Kandidatin Marine Le Pen sowie des proeuropäischen Kandidaten Emmanuel Macron. Die hier vorgestellten Hauptergebnisse deuten darauf hin, dass die Wähler und Wählerinnen in Regionen, in denen durch die EU-Regionalförderung zusätzliche Beschäftigung generiert wurde, in einem geringeren Ausmaß für Marine Le Pen stimmten.
This paper analyses the impact of the European Union's Cohesion Policy on firm growth in the programming period 2007-2013 in seven European countries. Results show that Cohesion Policy support promotes firm growth in size (value added and employment) more than in productivity. However, even when the policy is the same and similar projects and beneficiaries are considered, its effectiveness varies across different territorial contexts, among but also within countries. In several cases, the impact of grants on firm growth is larger in regions with lower income or scant endowments of territorial assets, most likely because firms in those regions cannot rely on external assets.
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