Equalising or polarising: The centre-periphery model and the absorption of EU funds under regional operational programmes in Poland

Wojciech Kisiała , Adam Bajerski , Bartosz Stępiński

Abstract

This article seeks to assess how the absorption of European the Union funds by the Polish voivodeships reflects two basic types of strategy in their allocation, i.e. the polarising and the equalising model. The analysis embraced 16 regional operational programmes (ROPs) between 2007–2013. The frame of reference adopted in the research was the centre-periphery model. Classes of peripherality were distinguished for each voivodeship, and absorption profiles of EU funds were determined for areas differing in their levels of peripherality. The goal of the article was achieved in a multi-stage research procedure ending in the construction of a synthetic index of the spatial orientation of support within the ROPs. The analysis demonstrated that the features of the polarising model tended to predominate in intra-regional policy. In most cases, however, the distribution of EU support represented a mixed model, with a shift towards the polarising one.
Author Wojciech Kisiała (WZ / KIiN)
Wojciech Kisiała,,
- Department of Investment and Real Estate
, Adam Bajerski - Adam Mickiewicz University (UAM)
Adam Bajerski,,
-
, Bartosz Stępiński - Public Profits Ltd, Research & Evaluation Agency
Bartosz Stępiński,,
-
Journal seriesActa Oeconomica, ISSN 0001-6373, (A 20 pkt)
Issue year2017
Vol67
No3
Pages413-434
Publication size in sheets1.05
Keywords in Englishcore-periphery concept, regional operational programmes, EU funds, intra-regional policy, PolandO21, P48, R58
ASJC Classification2002 Economics and Econometrics
DOIDOI:10.1556/032.2017.67.3.6
URL https://akademiai.com/doi/10.1556/032.2017.67.3.6
Languageen angielski
Score (nominal)20
Score sourcejournalList
ScoreMinisterial score = 20.0, 02-04-2020, ArticleFromJournal
Publication indicators WoS Citations = 3; Scopus SNIP (Source Normalised Impact per Paper): 2017 = 0.493; WoS Impact Factor: 2017 = 0.402 (2) - 2017=0.417 (5)
Citation count*4 (2020-07-01)
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* presented citation count is obtained through Internet information analysis and it is close to the number calculated by the Publish or Perish system.
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