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Agglomeration and interregional network effects on European R&D productivity

Author

Listed:
  • Attila Varga

    () (Department of Economics and Regional Studies, University of Pécs)

  • Dimitrios Pontikakis

    (Institute for Prospective Technological Studies, Joint Research Centre, European Commission Seville, Spain)

  • George Chorafakis

    (Research Directorate-General, European Commission Brussels, Belgium)

Abstract

This paper explores the effects of intra-regional agglomeration and interregional networking on the productivity of R&D across EU regions. The paper is based on the spatial econometric modelling framework presented in Varga (2000), and further develops a methodology for estimating the dynamic effects of agglomeration and interregional networks on R&D productivity in regional knowledge creation (measured by patent applications and publications) at the level of EU regions. This empirical modelling framework is applied to classify EU regions into different tiers according to the strengths of their agglomeration effects. These effects are then compared to the network effects of interregional connectedness as reflected in regional participation in the EU Framework Programme for Research. The estimated model is used then for an assessment of the impacts of EU Framework Programme expenditures on technological development and for carrying out policy impact simulations.

Suggested Citation

  • Attila Varga & Dimitrios Pontikakis & George Chorafakis, 2010. "Agglomeration and interregional network effects on European R&D productivity," Working Papers 2010/3, University of Pécs, Department of Economics and Regional Studies, revised Jun 2010.
  • Handle: RePEc:pec:wpaper:2010/3
    as

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    File URL: http://krti-en.ktk.pte.hu/pec/pdf/201003.pdf
    File Function: Revised version, 2010
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    References listed on IDEAS

    as
    1. Corinne Autant-Bernard & Pascal Billand & David Frachisse & Nadine Massard, 2007. "Social distance versus spatial distance in R&D cooperation: Empirical evidence from European collaboration choices in micro and nanotechnologies," Papers in Regional Science, Wiley Blackwell, vol. 86(3), pages 495-519, August.
    Full references (including those not matched with items on IDEAS)

    Citations

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    Cited by:

    1. Corinne Autant-Bernard & Cilem Selin Hazir, 2011. "Conceptualizing the Role of Geographical Proximity in Project Based R&D Networks: A Literature Survey," Post-Print halshs-00674345, HAL.
    2. Gianni Guastella & Frank G. van Oort, 2015. "Regional Heterogeneity and Interregional Research Spillovers in European Innovation: Modelling and Policy Implications," Regional Studies, Taylor & Francis Journals, vol. 49(11), pages 1772-1787, November.
    3. Roberta Capello & Attila Varga, 2013. "Knowledge creation and knowledge diffusion in space and regional innovation performance: introductory remarks," The Annals of Regional Science, Springer;Western Regional Science Association, vol. 51(1), pages 113-118, August.
    4. Tamás Sebestyén & Attila Varga, 2013. "Research productivity and the quality of interregional knowledge networks," The Annals of Regional Science, Springer;Western Regional Science Association, vol. 51(1), pages 155-189, August.
    5. Varga, Attila & Sebestyén, Tamás, 2015. "Innováció Kelet-Közép-Európában. Az EU keretprogramjaiban való részvétel szerepe az innovációs teljesítményben
      [Innovation in Central East Europe. The role played in innovation performance by parti
      ," Közgazdasági Szemle (Economic Review - monthly of the Hungarian Academy of Sciences), Közgazdasági Szemle Alapítvány (Economic Review Foundation), vol. 0(9), pages 881-908.
    6. Benjamin Montmartin & Marcos Herrera & Nadine Massard, 2015. "R&D Policies in France: New Evidence from a NUTS3 Spatial Analysis," GREDEG Working Papers 2015-26, Groupe de REcherche en Droit, Economie, Gestion (GREDEG CNRS), University of Nice Sophia Antipolis.
    7. Attila Varga & Márton Horváth, 2014. "Institutional and regional factors behind university patenting in Europe: an exploratory spatial analysis using EUMIDA data," Chapters,in: Knowledge, Diversity and Performance in European Higher Education, chapter 6, pages iii-iii Edward Elgar Publishing.
    8. Mario Maggioni & Teodora Uberti & Mario Nosvelli, 2014. "Does intentional mean hierarchical? Knowledge flows and innovative performance of European regions," The Annals of Regional Science, Springer;Western Regional Science Association, vol. 53(2), pages 453-485, September.
    9. Attila Varga, 2014. "Challenges in modeling the impacts of modern development policies: The case of the GMR-approach," EcoMod2014 7151, EcoMod.
    10. Karlsson, Charlie & Warda, Peter & Gråsjö, Urban, 2012. "Spatial Knowledge Spillovers in Europe: A Meta-Analysis," Working Paper Series in Economics and Institutions of Innovation 280, Royal Institute of Technology, CESIS - Centre of Excellence for Science and Innovation Studies.
    11. Roberta Capello & Camilla Lenzi, 2013. "Territorial patterns of innovation: a taxonomy of innovative regions in Europe," The Annals of Regional Science, Springer;Western Regional Science Association, vol. 51(1), pages 119-154, August.

    More about this item

    Keywords

    Agglomeration; network effects; R&D productivity;

    JEL classification:

    • O18 - Economic Development, Innovation, Technological Change, and Growth - - Economic Development - - - Urban, Rural, Regional, and Transportation Analysis; Housing; Infrastructure
    • O33 - Economic Development, Innovation, Technological Change, and Growth - - Innovation; Research and Development; Technological Change; Intellectual Property Rights - - - Technological Change: Choices and Consequences; Diffusion Processes
    • R11 - Urban, Rural, Regional, Real Estate, and Transportation Economics - - General Regional Economics - - - Regional Economic Activity: Growth, Development, Environmental Issues, and Changes

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