European Funds and the Dynamics of Economic Growth Among Eu Regions: A Spatial Modelling Approach

Kisiała Wojciech and Stępiński Bartosz ()
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Kisiała Wojciech: Department of Econometrics, Institute of Informatics and Quantitative Economics, Poznań University of Economics and Business, Poznań, Poland
Stępiński Bartosz: Department of Economic Geography, Faculty of Human Geography and Planning, Adam Mickiewicz University, Poznań, Poland

Quaestiones Geographicae, 2024, vol. 43, issue 2, 67-80

Abstract: Contemporary development policy concentrates predominantly on reducing noticeable economic differences in a spatial system, and an important role in this respect is played by EU Cohesion Policy. Owing to the considerable scale of financial exposure of Cohesion Policy, the assessment of effectiveness of the implemented measures and their greater reliance on evidence are of major significance. Despite numerous attempts to empirically verify the effects of EU funds spending, the problem remains unresolved, and the results of recent studies lead frequently to ambiguous conclusions. The article aims to verify the β-convergence process in EU regions in the years 2007–2015 allowing for the impact of the received EU funds and the spatial effects determining economic growth. In the research, use was made of a convergence approach consisting in the regression modelling of per capita GDP growth. Spatial econometrics methods were applied, by adding variables determining spatial interactions that can influence the economic growth rate to the specification of the estimated models. The estimated econometric models show that in the years 2007–2015 EU funds positively affected economic growth. At the same time, the process of reducing economic disparities between EU regions was observed. Moreover, the existence of spatial effects for a dependent variable was confirmed. The results also show that the value of the EU funds received in the surrounding area generally did not translate into the dynamics of growth in a given location. The research presented is one of the few in which spatial interaction was verified by using weights matrices based on contiguity, distance, flows and affiliation.

Keywords: European funds; economic growth; convergence; spatial regression; regions; European Union (search for similar items in EconPapers)
Date: 2024
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Persistent link: https://EconPapers.repec.org/RePEc:vrs:quageo:v:43:y:2024:i:2:p:67-80:n:1005

DOI: 10.14746/quageo-2024-0020

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