The Efficiency of Regional Innovation Systems in New Member States of the European Union: A Nonparametric DEA Approach

Open access


This paper evaluates the Eastern and Central EU regions according to the efficiency level of innovation systems by application of nonparametric data envelopment analysis (DEA). The most technologically inefficient NUTS2 regions of Central and Eastern EU are identified. The governmental institutions in these regions should enforce a higher level of regional innovative activity, as regional potential to create a higher value to the economy with current resources has not been reached yet.

If the inline PDF is not rendering correctly, you can download the PDF file here.

  • Andersson G. (2013). Rethinking Regional Innovation. Systemic Practice and Action Research. 26(1) 99-110.

  • Asheim B. T. Gertler M. S. (2005). The geography of innovation: regional innovation systems. The Oxford handbook of innovation. Oxford University Press Oxford pp. 291-317.

  • Autant-Bernard C. LeSage J. P. (2011). Quantifying knowledge spillovers using spatial econometric models. Journal of Regional Science 5(3) 471-496.

  • Bai J. (2013). On Regional Innovation Efficiency: Evidence from Panel Data of China’s Different Provinces Regional Studies 47(5) 773-788.

  • Bosco M. G. Brugnoli A. (2010). Regional Efficiency Innovation and Productivity. RSA Conference proceedings Pecs.

  • Broekel T. (2012). Collaboration Intensity and Regional Innovation Efficiency in Germany - A Conditional Efficiency Approach. Industry and Innovation 19(2) 155-179.

  • Broekel T. Buerger M. Brenner T. (2010). An investigation of the relation between cooperationand the innovative success of German regions. Papers in Evolutionary Economic Geography.10.11 Utrecht University.

  • Burda M. C. Severgnini B. (2009). TFP Growth in Old and New Europe. Comparative Economic Studies 51(4) 447-466.

  • Cai Y. Hanley A. (2014). Innovation rankings: good bad or revealing? Applied Economics Letters. 21(5) 325-328.

  • Chen K. Guan J. (2012). Measuring the Efficiency of China’s Regional Innovation Systems: Application of Network Data Envelopment Analysis (DEA) Regional Studies 46(3) 355-377.

  • Cooke P. (1992). Regional innovation systems: competitive regulation in the new Europe. Geoforum 23(3) 365-382.

  • Cooke P. (2004). The regional innovation system in Wales: evolution or eclipse. In Cooke P Heidenreich M Braczyk H. (Eds) Regional innovation systems 2nd Edition. Routledge London and New York pp. 214-233.

  • D’Agostino L. M. Laursen K. Santangelo G. D. (2013). The impact of R&D offshoring on the home knowledge production of OECD investing regions. Economic Geography 13(1) 145-175.

  • Daraio A. Simar L. (2007). Nonparametric efficiency analysis: a multivariate conditional quantile approach. Journal of Econometrics 140(2) 375-400.

  • De Bruijn P. Lagendijk A. (2005). Regional innovation systems in the Lisbon strategy. European Planning Studies 13(8) 1153-1172.

  • Doloreux D. (2003) Regional innovation systems in the periphery: the case of the Beauce in Quebec (Canada). International Journal of Innovation Management. 7(1) 67-94.

  • Drăgan N. Dzemyda I. Karčiauskas A. (2011). An approach to evaluate influence of European Union innovation policy to increase the economic equality between member states. Intellectual economics: scientific research journal 1(9) 23-36.

  • Dzemyda I. Karčiauskas A. (2012a). Inovacijų sistemos ir universitetai: teoriniai aspektai. Social sciences studies: research papers 4(3) 991-1007.

  • Dzemyda I. Karčiauskas A. (2012b). Inovacijų sistemos ir aukštojo mokslo sąveikos analizė. Applied economics: systematic research. 6(1) 41-59.

  • Dzemydaitė G. Galinienė B. (2013). Evaluation of regional efficiency disparities using efficient frontier analysis. Ekonomika 92(4).

  • Dzemydaite G. Dzemyda I. Galinienė B. (2015). The Evaluation of Regional Innovation Systems’ Efficiency in New Member States of European Union. Journal of Applied Sciences Vol. X Issue 3(33) p. 317-328.

  • Kaihua C. Mingting K. (2014). Staged efficiency and its determinants of regional innovation systems: a two-step analytical procedure. The Annals of Regional Science. 52(2) 627-657

  • Lafarga C. V. Baderrama. J. (2015). Efficiency of Mexico’s regional innovation systems: an evaluation applying data envelopment analysis (DEA). African Journal of Science Technology Innovation and Development. 7(1).

  • Makkonen T. & T. Inkinen (2014). Spatial scaling of regional strategic programmes in Finland: A qualitative study of clusters and innovation systems. Norsk Geografisk Tidsskrift-Norwegian Journal of Geography 68(4) 216-227.

  • Moodysson J. Zukauskaite E. (2014). Institutional Conditions and Innovation Systems: On the Impact of Regional Policy on Firms in Different Sectors. Regional Studies 48(1) 127-138.

  • ESPON (2012). Factsheet Latvia - Lithuania. ESPON Project TERREVI.

  • European Commission (2004). Commission Communacation. Third report on economic and social cohesion. COM(2004) 107 final. Brussels 18.2.2004.

  • European Commission (2014). Innovation Union Scoreboard 2014. Retrieved from accesed on 10 10 2014.

  • European Commission (2013). EU Cohesion Policy 2014-2020: legislative proposals. Retrieved from accessed on 10 09 2015.

  • Eurostat (2015). Database by themes - General and regional statistics. Retrieved from accesed on 15 09 2014.

  • Fritsch M. Slavtchev V. (2011). Determinants of the Efficiency of Regional Innovation Systems. Regional Studies 45(7) 905-918

  • Howells J. (2012). The geography of knowledge: never so close but never so far apart. Journal of Economic Geography 12(5) 1003-1020

  • Svetikas K. Ž. Dzemyda I. (2009). An approach to the evaluation of regional inequalities: a case study of Lithuanian counties. Intellectual economics. 2(6) 96-107.

  • Tharakan J. (2015). Indigenous knowledge systems - a rich appropriate technology resource. African Journal of Science Technology Innovation and Development 7(1) 52-57

  • Yi S. Fengyan C. (2015). Regional Innovation Systems Based on Stochastic Frontier Analysis: A Study on Thirty-One Provinces in China. Science Technology & Society 20(2) 204-224.

  • Zhong W. Yuan W. Li X. S. Huang Z. (2011). The performance evaluation of regional R&D investments in China: An application of DEA based on the first official China economic census data. Omega 39(4) 447-455.

Cited By
Gesamte Zeit Letztes Jahr Letzte 30 Tage
Abstract Views 0 0 0
Full Text Views 372 100 7
PDF Downloads 275 150 15