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Cited by 263

The DOI matches its Crossref record; 45 of the 45 references it cites were found in a registry or an index.

Measuring the effects of European Regional Policy on economic growth: A regression discontinuity approach

Open access
Pellegrini, Guido, Terribile, Flavia, Tarola, Ornella, Muccigrosso, Teo, Busillo, Federica·2013·Papers in Regional Science

Abstract

Given the increasing share of the EU budget devoted to Regional Policy, several studies have tried to identify the impact of structural funds on economic growth. However, so far no consensus has been reached. We assess Regional Policy effects through a non-experimental comparison group method, the regression discontinuity design, and a novel regional dataset for the 1994–2006 period. We exploit the allocation rule of EU transfers by comparing regions with a per capita GDP level just below the eligibility threshold (75% of EU average) with those just above. Our findings show a positive impact of EU Regional Policy on economic growth.

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Crossref · 10.1111/j.1435-5957.2012.00459.x

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Metadata

Authors
Pellegrini, G., Terribile, F., Tarola, O., Muccigrosso, T., & Busillo, F.
Venue
Papers in Regional Science
Publisher
Elsevier BV
Published
2013-03
Volume
92
Issue
1
Pages
217-234
ISSN
  • 0486-2902 (ISSN-L)
  • 1056-8190
OpenAlex
W2138977736
Cited by
263
References
45
FWCI
79.65
Type
journal article
Language
en
Open access
hybrid

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CoChat. (2026). Citation check: Measuring the effects of European Regional Policy on economic growth: A regression discontinuity approach. https://app.cochat.ai/papers/10.1111/j.1435-5957.2012.00459.x
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Pellegrini, G., Terribile, F., Tarola, O., Muccigrosso, T., & Busillo, F. (2013). Measuring the effects of European Regional Policy on economic growth: A regression discontinuity approach. Papers in Regional Science. https://doi.org/10.1111/j.1435-5957.2012.00459.x

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Contains information from the Semantic Scholar Academic Graph Datasets, made available under the ODC Attribution License (ODC-BY 1.0).

Semantic Scholar’s data is described in: Kinney, R., et al. (2023). The Semantic Scholar Open Data Platform. arXiv:2301.10140.