Show simple item record

dc.contributor.authorŻółtaszek, Agata
dc.contributor.authorOlejnik, Alicja
dc.description.abstractInnovation constitutes an important factor for growth in all EU countries. Regions of the EU play a principle role in shaping new innovation trajectories and in bringing out the hidden potential for national growth. However, it is not only the level of innovation that diversifies regions, but also the innovative potential and the level of its realization. Therefore, the aim of this paper is to assess the realization of innovative potential, defined as effectiveness, in EU NUTS 0 and, if possible, NUTS 2 regions. To accomplish this goal a relative effectiveness method in used. The DEA (Data Envelopment Analysis) makes it possible to analyse the relative technical effectiveness based on regional inputs and outputs, without incorporating the legal and technological specifications of innovations, thus treating it like a production process. The inputs of the process are employment in technology and knowledge-intensive sectors and R&D expenditure, while the outputs include the number of patents and GDP. All variables are standardized by the size of the economically active population. DEA results divide regions in to two groups – effective, being the leaders; and ineffective, or followers. The DEA approach was combined and extended by ESDA (Exploratory Spatial Data Analysis) in order to pinpoint spatial patterns of innovation efficiency across NUTS 2 regions. Defining the best practices and implementing the learning-from-the-best policy is important in the process of regional development and specialization.pl_PL
dc.publisherFaculty of Economics and Sociologypl_PL
dc.relation.ispartofseriesLodz Economics Working Papers;8
dc.rightsUznanie autorstwa-Użycie niekomercyjne-Bez utworów zależnych 3.0 Polska*
dc.subjectregional innovationpl_PL
dc.subjectDEA (data envelopment analysis)pl_PL
dc.subjectregional developmentpl_PL
dc.subjectspatial autocorrelationpl_PL
dc.subjectESDA (exploratory spatial data analysis)pl_PL
dc.titleRegional effectiveness of innovation – leaders and followers of the EU NUTS 0 and NUTS 2 regionspl_PL
dc.typeWorking Paperpl_PL
dc.contributor.authorAffiliationFaculty of Economics and Sociology, University of Lodzpl_PL
dc.referencesAthanassopoulos, A.D. (1996) Assessing the comparative spatial disadvantage (CSD) of regions in the European Union using non-radial data envelopment analysis methods, European Journal of Operational Research 94, 439-452pl_PL
dc.referencesAngeriz, A., Mccombie, J., Roberts, M. (2006) Productivity, efficiency and technological change in European union regional manufacturing: a data envelopment analysis approach, The Manchester School Vol 74 No. 4 Special Issue 2006 1463–6786 500–525pl_PL
dc.referencesAnselin L., (1988), Spatial Econometrics: Methods and Models, Kluwer Academic Publications, Dordrecht.pl_PL
dc.referencesCharnes, A., Cooper, W.,Rhodes, A. (1978) Measuring the efficiency of decision making units [in:] European Journal of Operations Researchpl_PL
dc.referencesCharnes, A., Cooper, W.,Golany, W., Seinford, B. (1997) Data Envelopement Anaysis. Theory, Methodology, and Applications, Kluwer Academc Piblisherspl_PL
dc.referencesCliff A., Ord J. K., (1981), Spatial Processes: Models and Applications, Pion, Londonpl_PL
dc.referencesDzemydaitė, G., Galinienė, B. (2013) Evaluation of regional efficiency disparities by efficient frontier analysis, Ekonomika Vol. 92(4), 21-36pl_PL
dc.referencesGalinienė, B., Dzemydaitė. G. (2012) Spatial Data Envelopment Analysis Method for the Evaluation of Regional Infrastructure Disparities, Social Technologies 2012, 2(2), pp. 390–403.pl_PL
dc.referencesGospodarowicz, M. (2000) Procedury analizy i oceny banków. [in] Materiały i studia NBP zeszyt nr 103, Narodowy Bank Polski Departament Analiz i Badań, Warszawa, pp. 48-51; Golany, B., Roll, Y. (1989) An application procedure for DEA. OMEGA Heft Vol. 17, pp. 240-247pl_PL
dc.referencesGospodarowicz, A. (2002) Analiza i ocena banków oraz ich oddziałów, Wydawnictwo Akademii Ekonomicznej im. Oskara Langego,Wrocławpl_PL
dc.referencesMoran P., (1950) Notes on Continuous Stochastic Phenomena, Biometrika, 37, 17–23pl_PL
dc.referencesKapfer M., Kantelhardt J., Eckstein K., Hübner R. (2013) Environmental and Economic Impact of Agricultural Land Use - a Spatially Explicit DEA Approach, Working paper 2nd AIEAA Conference “Between Crisis and Development: which Role for the Bio-Economy”pl_PL
dc.referencesLao, Y., Liu, L (2009) Performance evaluation of bus lines with data envelopment analysis and geographic information systems, Computers, Environment and Urban Systems 33, 247–255pl_PL
dc.referencesMaté-Sánchez-Val, M. L., Madrid-Guijarro, A. (2011) A spatial efficiency index proposal: an empirical application to SMEs productivity, The Annals of Regional Science – Springer, 47:353–371, DOI 10.1007/s00168-010-0382-8pl_PL
dc.referencesMokaddem, L. (2015) Regions‘ efficiency and spatial disparities in Tunisia, Second International Conference On Advances In Management, Economics And Social Science - MES 2015, ISBN: 978-1-63248-046-0 doi: 10.15224/ 978-1-63248-046-0-131, 207-216pl_PL
dc.referencesSchaffer, A.;, Simar, L., Rauland, J. (2010) Decomposing Regional Effciency, Working Paper Series in Economics, No. 10 OCTOBER 2010pl_PL
dc.referencesSchaffer, A.;, Simar, L., Rauland, J. (2011) Decomposing Regional Effciency, Journal of Regional Science, Vol. 51, No 5, 2011, 931–947pl_PL
dc.referencesSuzuki S., Nijkamp P. (2011), A Stepwise Projection Data Envelopment Analysis for Public Transport Operations in Japan, Tinbergen Institute Discussion Paper, TI 2011-113/3pl_PL
dc.referencesToloo, M., Nalchigar, S. (2009) A new integrated DEA model for finding most BCC-efficient DMU, Applied Mathematical Modelling 33, pp. 597–604pl_PL
dc.referencesWang, Z., Feng, C. (2015) Sources of production inefficiency and productivity growth in China: A global data envelopment analysis, Energy Economics 49, 380–389pl_PL
dc.referencesŻółtaszek, A. (2014a) Efektywność i Konkurencyjność Systemów Opieki Zdrowotnej Krajów Unii Europejskiej, Przegląd Statystyczny, R. LXI – Zeszyt 1, pp. 79-94pl_PL
dc.referencesŻółtaszek, A. (2014b) Leaders And Followers In The Effectiveness Of Public Safety Services In European States – A Spatial Frontier Approach, Comparative Economic Research, Volume 17, Number 4pl_PL

Files in this item


This item appears in the following Collection(s)

Show simple item record

Uznanie autorstwa-Użycie niekomercyjne-Bez utworów zależnych 3.0 Polska
Except where otherwise noted, this item's license is described as Uznanie autorstwa-Użycie niekomercyjne-Bez utworów zależnych 3.0 Polska