Analysis of Spatial Concentration of the Regional Operational Programmes Funds Support Use

Emilia Modranka

doi:10.18778/0208-6018.292.14

Authors

Emilia Modranka University of Lodz, Department of Spatial Econometrics

DOI:

https://doi.org/10.18778/0208-6018.292.14

Abstract

The cost-effective allocation of aid within the framework of EU regional policy, in accordance with the concentration principle, requires limiting support from European Union funds only to a few aims, which have fundamental significance to achieving economic and social cohesion. The spatial dimension of this principle is based on a concentration of aid in the least favored regions. The results of empirical studies show a limited or even insignificant impact of structural fund expenditure on the economic performance. The literature explains this lack of convergence by the redistributive expenditure and a significant spatial dispersion of aid projects.

The purpose of this paper is to analyze the spatial concentration and structure of intervention funded form Regional Operational Programmes. The research was based on data about the state of implementation of European funds in the poviats (NUTS 4) in 2007–2010., generated from the National Information System SIMIK 07–13.

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References

Arbia G., Piras G., (2009), A new class of spatial concentration measures, Computional Statistics and Data Analysis 53, pp. 4471-4481. DOI: https://doi.org/10.1016/j.csda.2009.07.003

Bachtler J., Mendes C, (2007), Who Governs EU Cohesion Policy Deconstructing the Reforms of the Structural Funds, Journal of Common Market Studies, Volume 45. Number 3., pp. 535-564. DOI: https://doi.org/10.1111/j.1468-5965.2007.00724.x

Crescenzi R. (2007), Undermining the principle of concentration? EU development policies and the socio-economic disadvantage of European regions, Roma Arte, Collanda del Dipartimento di Economia, Working Paper nr 73.

Guillain R., Le Galio J. (2006), Measuring agglomeration: an exploratory spatial analysis approach applied to the case of Paris and its surroundings, REAL Discussion Papers, no. 06-T-10, University of Illinois at Urbana Champaign.

Guimaraes P., Figueiredo O., Woodward D. (2011), Accounting for neighboring effects in measures of spatial concentration, Journal of Regional Science, vol. 51., no 4, pp. 678-693. DOI: https://doi.org/10.1111/j.1467-9787.2011.00723.x

Markowski T., Stawasz D. (red.) (2001) Ekonomiczne i środowiskowe aspekty zarządzania rozwojem miast i regionów, Wydawnictwo Uniwersytetu Łódzkiego, Łódź.

Mohl P., Hagen T. (2010), Do EU structural funds promote regional growth? New evidence from various panel data approaches, Regional Science and Urban Economics 40 (2010), pp. 353-365. DOI: https://doi.org/10.1016/j.regsciurbeco.2010.03.005

Morphet C.S. (1997); A statistical method for the identification of spatial clusters, Environment and Planning, A 29: pp. 1039-1055. DOI: https://doi.org/10.1068/a291039

National Strategic Reference Framework 2007-2013 in support of growth and jobs. National Cohesion Strategy., Document adopted by the European Commission on 7th May 2007, Ministry of Regional Development, Warsaw, May 2007.

Overman H. G, Puga D. (2010), Labor Pooling as a Source of Agglomeration: An Empirical Investigation, (in:) Edward L. Glaser (ed.), Agglomeration Economic, National Bureau of Economic Research, The University of Chicago Press, Chicago. DOI: https://doi.org/10.7208/chicago/9780226297927.003.0005

Pietrzyk I. (2002), Polityka regionalna Unii Europejskiej i regiony w Państwach członkowskich, Wydawnictwo Naukowe PWN, Warszawa.

Smętkowski M., Wójcik P. i in. (2010), Analizy regionalne jako narzędzie wspierające procesy programowania i monitorowania rozwoju regionalnego, Przegląd regionalny, Nr 4.

Stawicki M. (2009), Fundusze europejskie w gminach. Rozwój lokalny, wykorzystanie środków UE, rekomendacje dla samorządów, projekt realizowany na zlecenie Ministerstwa Rozwoju Regionalnego, współfinansowanego ze środków Unii Europejskiej w ramach Programu Operacyjnego Pomoc Techniczna, Warszawa.

Suchecki B. (ed.) (2010), Ekonometria przestrzenna. Metody i modele analizy danych przestrzennych, Wydawnictwo C.H. Beck, Warszawa.