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A multilevel approach to geography of innovation

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  • Martin Srholec

    (Centre for Technology, Innovation and Culture, University of Oslo)

Abstract

The aim of this paper is to demonstrate how research on geography of innovation can benefit from multilevel modeling. Using micro data from the third Community Innovation Survey in the Czech Republic, we quantitatively assess the hypothesis that regional framework conditions determine innovative performance of firms and that this effect differs for different kinds of firms. The results indicate that quality of the regional innovation system directly influences the likelihood of firm’s to innovate and that this effect decreases with size of the firm. Also broader social characteristics of the region come out to be relevant explanatory factors of innovation.

Suggested Citation

  • Martin Srholec, 2007. "A multilevel approach to geography of innovation," Working Papers on Innovation Studies 20071010, Centre for Technology, Innovation and Culture, University of Oslo, revised Mar 2009.
  • Handle: RePEc:tik:inowpp:20071010
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    File URL: http://www.tik.uio.no/InnoWP/0710_MultilevelInnovation_Srholec.pdf
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    References listed on IDEAS

    as
    1. Otto Raspe & Frank van Oort, 2007. "What When Space Matters Little For Firm Productivity? A multilevel analysis of localised knowledge externalities," Papers in Evolutionary Economic Geography (PEEG) 0706, Utrecht University, Department of Human Geography and Spatial Planning, Group Economic Geography, revised Jun 2007.
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    Cited by:

    1. Edward Lorenz & Jana Schmutzler, 2015. "Tolerance, Agglomeration and Enterprise Innovation Performance: A Multi-Level Analysis of Latin American Regions," GREDEG Working Papers 2015-43, Groupe de REcherche en Droit, Economie, Gestion (GREDEG CNRS), University of Nice Sophia Antipolis.
    2. Zukauskaite , Elena & Plechero , Monica & Trippl , Michaela, 2016. "Institutional Thickness Revisited," Papers in Innovation Studies 2016/1, Lund University, CIRCLE - Center for Innovation, Research and Competences in the Learning Economy.
    3. Paola Cardamone & Valeria Pupo & Fernanda Ricotta, 2014. "Assessing The Impact Of University Technology Transfer On Firms’ Innovation," Working Papers 201403, Università della Calabria, Dipartimento di Economia, Statistica e Finanza "Giovanni Anania" - DESF.
    4. Enrique López-Bazo & Elisabet Motellón, 2016. "“Innovation, heterogeneous firms, and the region”," AQR Working Papers 201607, University of Barcelona, Regional Quantitative Analysis Group, revised Apr 2016.
    5. Martin Srholec, 2015. "Understanding the diversity of cooperation on innovation across countries: multilevel evidence from Europe," Economics of Innovation and New Technology, Taylor & Francis Journals, vol. 24(1-2), pages 159-182, March.
    6. Francesco Aiello & Fernanda Ricotta, 2014. "Firm heterogeneity in productivity across Europe. What explains what?," ERSA conference papers ersa14p808, European Regional Science Association.
    7. Agostino, Mariarosaria & Nifo, Annamaria & Trivieri, Francesco & Vecchione, Gaetano, 2016. "Total factor productivity heterogeneity: channelling the impact of institutions," MPRA Paper 72759, University Library of Munich, Germany.
    8. Aiello, Francesco & Bonanno, Graziella, 2015. "Multilevel empirics for small banks in local markets," MPRA Paper 64399, University Library of Munich, Germany.
    9. Bhupatiraju S., 2014. "Multi-level determinants of inward FDI ownership," MERIT Working Papers 085, United Nations University - Maastricht Economic and Social Research Institute on Innovation and Technology (MERIT).
    10. Georgios Batsakis, 2016. "Host Location Knowledge Sourcing And Subsidiary Innovative Performance — Examining The Moderating Role Of Alternative Sources Of Knowledge And Ipr Distance," International Journal of Innovation Management (ijim), World Scientific Publishing Co. Pte. Ltd., vol. 20(06), pages 1-28, August.
    11. repec:spr:anresc:v:58:y:2017:i:3:d:10.1007_s00168-017-0811-z is not listed on IDEAS
    12. K. Farla, 2014. "Determinants of firms' investment behaviour: a multilevel approach," Applied Economics, Taylor & Francis Journals, vol. 46(34), pages 4231-4241, December.
    13. Rahmouni, Mohieddine & Ayadi, Mohamed & YIldIzoglu, Murat, 2010. "Characteristics of innovating firms in Tunisia: The essential role of external knowledge sources," Structural Change and Economic Dynamics, Elsevier, vol. 21(3), pages 181-196, August.
    14. Krammer, Sorin M.S., 2009. "Drivers of national innovation in transition: Evidence from a panel of Eastern European countries," Research Policy, Elsevier, vol. 38(5), pages 845-860, June.
    15. Anna Ferragina & Fernanda Mazzotta, 2015. "Agglomeration economies in Italy: impact on heterogeneous firms’ exit in a multilevel framework," Economia e Politica Industriale: Journal of Industrial and Business Economics, Springer;Associazione Amici di Economia e Politica Industriale, vol. 42(4), pages 395-440, December.
    16. Alberto Díaz Dapena & Fernando Rubiera Morollón & Dusan Paredes Araya, 2014. "Are there different convergence local behaviors hidden under the regional level? An analysis for the US States and counties with multilevel approach," Documentos de Trabajo en Economia y Ciencia Regional 47, Universidad Catolica del Norte, Chile, Department of Economics, revised Jul 2017.
    17. Martin Srholec & Pavla ?í?alová, 2013. "Does the local milieu matter for innovation? Multilevel evidence from the Czech Republic," ERSA conference papers ersa13p540, European Regional Science Association.
    18. Grillitsch, Markus & Martin, Roman & Srholec, Martin, 2015. "Knowledge base combinations and innovation performance in Swedish regions," Papers in Innovation Studies 2015/6, Lund University, CIRCLE - Center for Innovation, Research and Competences in the Learning Economy.
    19. Krammer, Marius /S.S., 2008. "Drivers of national innovative systems in transition: an Eastern European cross-country analysis," MPRA Paper 7739, University Library of Munich, Germany.
    20. Amber Naz & Annekatrin Niebuhr & Jan Peters, 2015. "What’s behind the disparities in firm innovation rates across regions? Evidence on composition and context effects," The Annals of Regional Science, Springer;Western Regional Science Association, vol. 55(1), pages 131-156, October.

    More about this item

    Keywords

    innovation; geography; regional innovation system; multilevel modeling; Czech Republic.;

    JEL classification:

    • O30 - Economic Development, Innovation, Technological Change, and Growth - - Innovation; Research and Development; Technological Change; Intellectual Property Rights - - - General
    • R15 - Urban, Rural, Regional, Real Estate, and Transportation Economics - - General Regional Economics - - - Econometric and Input-Output Models; Other Methods
    • D21 - Microeconomics - - Production and Organizations - - - Firm Behavior: Theory

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