Skip to main content
Top

2022 | OriginalPaper | Chapter

26. The European Case: Are There Externalities from the National Toward the Regional R&D Systems That Enhance Their Efficiency?

Authors : Cristián Gutiérrez Rojas, Thomas Baumert

Published in: Advances in Quantitative Economic Research

Publisher: Springer International Publishing

Activate our intelligent search to find suitable subject content or patents.

search-config
loading …

Abstract

The present chapter studies the externality flows from the national to the regional R&D systems in Europe, analyzing to which degree—if at all—they improve the latter’s efficiency. For this purpose, we combine factorial, regression, and cluster analysis with a two-stage data envelopment analysis on a sample of 129 regions from 2000 to 2010. The results obtained confirm the existence of asymmetric spillovers between both system levels and that they indeed have a statistically significant impact on regional efficiency.

Dont have a licence yet? Then find out more about our products and how to get one now:

Springer Professional "Wirtschaft+Technik"

Online-Abonnement

Mit Springer Professional "Wirtschaft+Technik" erhalten Sie Zugriff auf:

  • über 102.000 Bücher
  • über 537 Zeitschriften

aus folgenden Fachgebieten:

  • Automobil + Motoren
  • Bauwesen + Immobilien
  • Business IT + Informatik
  • Elektrotechnik + Elektronik
  • Energie + Nachhaltigkeit
  • Finance + Banking
  • Management + Führung
  • Marketing + Vertrieb
  • Maschinenbau + Werkstoffe
  • Versicherung + Risiko

Jetzt Wissensvorsprung sichern!

Springer Professional "Wirtschaft"

Online-Abonnement

Mit Springer Professional "Wirtschaft" erhalten Sie Zugriff auf:

  • über 67.000 Bücher
  • über 340 Zeitschriften

aus folgenden Fachgebieten:

  • Bauwesen + Immobilien
  • Business IT + Informatik
  • Finance + Banking
  • Management + Führung
  • Marketing + Vertrieb
  • Versicherung + Risiko




Jetzt Wissensvorsprung sichern!

Appendix
Available only for authorised users
Footnotes
1
As might be observed, we now prefer the expression “R&D system”—which we consider more acurate to the Schumpetarian conception of a “spontaneous” innovation—to that of “Innovation system” which we believe may induce to consider Innovation, wrongly, as a sistematic process (see for details Gutiérrez & Baumert, 2019).
 
2
The values of each element of the index are standarized between 0 and 100 as to allow for their comparison.
 
3
The Kruskal-Wallis test was performed to corroborate the conformation of the three clusters, rejecting the null hypothesis of equality of means between the three groups at 99%.
 
4
Cf. Baumert and Gutiérrez (2020).
 
5
Calculations were also made with 1 year and 2 years’ delay. However, they did not change any of the conclusions of the study.
 
6
Cf. the results presented by Baumert (2021) when studying the regional R&D performance by their phase of entrance to the EU.
 
7
Using the terminology of Tauchmann based in the first algorithm of Simar and Wilson (2007).
 
8
The Wald test was used to confirm the overall significance of the models.
 
Literature
go back to reference Baumert, T. (2006) Los determinantes de la innovación. Un estudio aplicado sobre las regiones de la Unión Europea. Tesis Doctoral, Universidad Complutense de Madrid Baumert, T. (2006) Los determinantes de la innovación. Un estudio aplicado sobre las regiones de la Unión Europea. Tesis Doctoral, Universidad Complutense de Madrid
go back to reference Baumert, T. (2021). Patterns of knowledge creation in European regions: An analysis by the phases of the EU-enlargements. In N. Tsounis & A. Vlachvei (Eds.), Advances in longitudinal data methods in applied economic research. Springer. Baumert, T. (2021). Patterns of knowledge creation in European regions: An analysis by the phases of the EU-enlargements. In N. Tsounis & A. Vlachvei (Eds.), Advances in longitudinal data methods in applied economic research. Springer.
go back to reference Baumert, T., & Gutiérrez, C. (2020). Are we spending our scarce R&D resources adequately? Analysing the efficiency of EU’s regional innovation systems. In N. Tsounis & A. Vlachvei (Eds.), Advances in cross-section data methods in applied economic research. Springer. Baumert, T., & Gutiérrez, C. (2020). Are we spending our scarce R&D resources adequately? Analysing the efficiency of EU’s regional innovation systems. In N. Tsounis & A. Vlachvei (Eds.), Advances in cross-section data methods in applied economic research. Springer.
go back to reference Bellmann, L., Crimmann, A., Evers, K., & Hujer, R. (2013). Regional determinants of establishments innovations activities: A multi-level approach. Institute for the Study of Labor. Bellmann, L., Crimmann, A., Evers, K., & Hujer, R. (2013). Regional determinants of establishments innovations activities: A multi-level approach. Institute for the Study of Labor.
go back to reference Beujelsdijk, S. (2007). The regional environment and a firm’s innovative performance: A plea for a multilevel interactionist approach. Economic Geography, 83(2), 181–199.CrossRef Beujelsdijk, S. (2007). The regional environment and a firm’s innovative performance: A plea for a multilevel interactionist approach. Economic Geography, 83(2), 181–199.CrossRef
go back to reference Broekel, T., & Meder, A. (2008). The bright and dark side of cooperation for regional innovation performance. Jena Economic Research Papers 053. Broekel, T., & Meder, A. (2008). The bright and dark side of cooperation for regional innovation performance. Jena Economic Research Papers 053.
go back to reference Buesa, M., Heijs, J., & Baumert, T. (2010). The determinants of regional innovation in Europe: A combined factorial and regression knowledge production function approach. Research Policy, 39(2010), 722–795.CrossRef Buesa, M., Heijs, J., & Baumert, T. (2010). The determinants of regional innovation in Europe: A combined factorial and regression knowledge production function approach. Research Policy, 39(2010), 722–795.CrossRef
go back to reference Buesa, M., Heijs, J., Martínez Pellitero, M., & Baumert, T. (2006). Regional systems of innovation and the knowledge production function: The Spanish case. Technovation, 26(4), 436–472.CrossRef Buesa, M., Heijs, J., Martínez Pellitero, M., & Baumert, T. (2006). Regional systems of innovation and the knowledge production function: The Spanish case. Technovation, 26(4), 436–472.CrossRef
go back to reference Capello, R., & Lenzi, C. (2013). Territorial patterns of innovation and economic growth in European regions. Growth and Change, 44(2), 195–227.CrossRef Capello, R., & Lenzi, C. (2013). Territorial patterns of innovation and economic growth in European regions. Growth and Change, 44(2), 195–227.CrossRef
go back to reference Cazals, C., Florens, J., & Simar, L. (2002). Nonparametric frontier estimation: A robust approach. Journal of Econometrics, 106, 1–25.CrossRef Cazals, C., Florens, J., & Simar, L. (2002). Nonparametric frontier estimation: A robust approach. Journal of Econometrics, 106, 1–25.CrossRef
go back to reference Daraio, C., & Simar, L. (2005). Introducing environmental variables in nonparametric frontier models: A probabilistic approach. Journal of Productivity Analysis, 24, 93–121.CrossRef Daraio, C., & Simar, L. (2005). Introducing environmental variables in nonparametric frontier models: A probabilistic approach. Journal of Productivity Analysis, 24, 93–121.CrossRef
go back to reference Delgado-Márquez, B. And García-Velasco, M. (2018). Geographical distribution of the European knowledge base through the lens of a synthetic index. Social Indicators Research, 136, 477–496.CrossRef Delgado-Márquez, B. And García-Velasco, M. (2018). Geographical distribution of the European knowledge base through the lens of a synthetic index. Social Indicators Research, 136, 477–496.CrossRef
go back to reference Dosi, G., Llerena, P., & Sylos Labini, M. (2006). The relationship between science, technologies, and their industrial exploitation: An illustration through the myths and realities of the so-called ‘European paradox’. Research Policy, 35, 1450–1464.CrossRef Dosi, G., Llerena, P., & Sylos Labini, M. (2006). The relationship between science, technologies, and their industrial exploitation: An illustration through the myths and realities of the so-called ‘European paradox’. Research Policy, 35, 1450–1464.CrossRef
go back to reference Duvivier, C. (2013). Does urban proximity enhance technical efficiency? Evidence from Chinese agriculture. Journal of Regional Science, 53(5), 923–943.CrossRef Duvivier, C. (2013). Does urban proximity enhance technical efficiency? Evidence from Chinese agriculture. Journal of Regional Science, 53(5), 923–943.CrossRef
go back to reference Gallaud, D., & Torre, A. (2004). Geographical proximity and the diffusion of knowledge. In G. Fuchs, P. Shapira, & A. Koch (Eds.), Rethinking regional innovation. Springer. Gallaud, D., & Torre, A. (2004). Geographical proximity and the diffusion of knowledge. In G. Fuchs, P. Shapira, & A. Koch (Eds.), Rethinking regional innovation. Springer.
go back to reference Gutiérrez, C., & Baumert, T. (2019). Smith, Schumpeter y el estudio de los sistemas de innovación. In Tecnología y Sociedad: una mirada multidisciplinaria. Universidad de Santiago de Chile. Gutiérrez, C., & Baumert, T. (2019). Smith, Schumpeter y el estudio de los sistemas de innovación. In Tecnología y Sociedad: una mirada multidisciplinaria. Universidad de Santiago de Chile.
go back to reference Gutiérrez, C., Heijs, J., & And Baumert, T. (2018). Asymmetric spillovers from National Innovation Systems to knowledge creation processes in their regions. Revista de Economía Aplicada, 77(XXVI), 77–100. Gutiérrez, C., Heijs, J., & And Baumert, T. (2018). Asymmetric spillovers from National Innovation Systems to knowledge creation processes in their regions. Revista de Economía Aplicada, 77(XXVI), 77–100.
go back to reference Hall, B., Griliches, Z., & Hausman, J. (1986). Patents and R and D: Is there a lag? International Economic Review, 27(2), 265–283.CrossRef Hall, B., Griliches, Z., & Hausman, J. (1986). Patents and R and D: Is there a lag? International Economic Review, 27(2), 265–283.CrossRef
go back to reference Marrocu, E., Paci, R., & Usai, S. (2011). Proximity, networks and knowledge production in Europe. University of Cagliari and CRENOS. 09.CrossRef Marrocu, E., Paci, R., & Usai, S. (2011). Proximity, networks and knowledge production in Europe. University of Cagliari and CRENOS. 09.CrossRef
go back to reference Moreno, R., Paci, R. & Usai, S. (2004). Spatial spillovers and innovation activity in European regions. 44th Congress of the European Regional Science Association. Porto, Portugal, 25th–29th August, 2004. Moreno, R., Paci, R. & Usai, S. (2004). Spatial spillovers and innovation activity in European regions. 44th Congress of the European Regional Science Association. Porto, Portugal, 25th–29th August, 2004.
go back to reference OECD. (2004). Compendium of patent statistics. Paris. OECD. (2004). Compendium of patent statistics. Paris.
go back to reference Schmoch, U. (1999). Eignen sich Patente als Innovationsindikatoren? En R. Boch (Ed.), Patentschutz und Innovation in Geschichte und Gegenwart. Frankfurt am Main et al. Schmoch, U. (1999). Eignen sich Patente als Innovationsindikatoren? En R. Boch (Ed.), Patentschutz und Innovation in Geschichte und Gegenwart. Frankfurt am Main et al.
go back to reference Simar, L., & Wilson, P. (2007). Estimation and inference in two-stage, semi-parametric models of production processes. Journal of Econometrics, 136, 31–64.CrossRef Simar, L., & Wilson, P. (2007). Estimation and inference in two-stage, semi-parametric models of production processes. Journal of Econometrics, 136, 31–64.CrossRef
Metadata
Title
The European Case: Are There Externalities from the National Toward the Regional R&D Systems That Enhance Their Efficiency?
Authors
Cristián Gutiérrez Rojas
Thomas Baumert
Copyright Year
2022
DOI
https://doi.org/10.1007/978-3-030-98179-2_26

Premium Partner