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A Multilevel Approach to Geography of Innovation

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  • Martin Srholec

Abstract

Srholec M. A multilevel approach to geography of innovation, Regional Studies. The aim of this paper is to demonstrate how research on geography of innovation can benefit from multilevel modelling. Using micro-data from the third Community Innovation Survey in the Czech Republic, the hypothesis that regional framework conditions determine the innovative performance of firms and that this effect differs for different kinds of firms is quantitatively assessed. The results indicate that the quality of the regional innovation system directly influences the likelihood of a firm to innovate and that this effect decreases with the size of the firm. Also, broader social characteristics of the region are relevant explanatory factors of innovation. [image omitted] Srholec M. Une approche a la geographie de l'innovation a plusieurs niveaux, Regional Studies. Cet article cherche a montrer comment la recherche sur la geographie de l'innovation peut profiter de la modelisation a plusieurs niveaux. Employant des donnees microeconomiques provenant de la troisieme Enquete sur l'innovation communautaire menee dans la Republique tcheque, on evalue quantitativement l'hypothese suivante: les conditions prealables du cadre regional determinent la performance des entreprises pour ce qui est de l'innovation et cet effet varie suivant le statut de l'entreprise. Les resultats laissent voir que la qualite du systeme d'innovation regional influe directement sur la possibilite que les entreprises aillent innover et que cet effet diminue suivant la taille de l'entreprise. En plus, des caracteristiques sociales regionales plus generales s'averent des facteurs explicatifs de l'innovation. Innovation Geographie Systeme d'innovation regional Modelisation a plusieurs niveaux Republique tcheque Srholec M. Ein mehrschichtiger Ansatz fur die Geografie der Innovation, Regional Studies. Mit diesem Beitrag soll nachgewiesen werden, wie die Forschung uber die Geografie der Innovation von mehrschichtigen Modellen profitieren kann. Anhand von Mikrodaten aus der dritten Innovationserhebung der Gemeinschaft in der Tschechischen Republik nehmen wir eine quantitative Bewertung der Hypothese vor, dass die innovative Leistung von Firmen von den regionalen Rahmenbedingungen abhangt und dass diese Auswirkung fur verschiedene Arten von Firmen unterschiedlich ausfallt. Aus den Ergebnissen geht hervor, dass die Qualitat des regionalen Innovationssystems einen direkten Einfluss auf die Wahrscheinlichkeit ausubt, dass die Firmen Innovationen hervorbringen, und sich dass diese Wirkung mit der Grosse der Firma abschwacht. Ebenso erwiesen sich generellere gesellschaftliche Merkmale der Region als relevante Faktoren zur Erklarung von Innovation. Innovation Geografie Regionales Innovationssystem Mehrschichtige Modelle Tschechische Republik Srholec M. Un enfoque de varios niveles para la geografia de la innovacion, Regional Studies. La finalidad de este articulo es demostrar como pueden beneficiarse los estudios sobre la geografia de la innovacion con el modelo de varios niveles. Usando micro datos del tercer Estudio de Innovacion Comunitario en la Republica Checa, evaluamos cuantitativamente la hipotesis de que las condiciones de estructura regional determinan el rendimiento de innovacion de las empresas y que este efecto es distinto para diferentes tipos de empresas. Los resultados indican que la calidad del sistema de innovacion regional influye directamente en la probabilidad de innovar de las empresas y que este efecto disminuye con el tamano de la empresa. Asimismo se demuestra que las caracteristicas sociales mas generales de la region son factores explicativos relevantes de la innovacion. Innovacion Geografia Sistema de innovacion regional Modelos de varios niveles Republica Checa

Suggested Citation

  • Martin Srholec, 2010. "A Multilevel Approach to Geography of Innovation," Regional Studies, Taylor & Francis Journals, vol. 44(9), pages 1207-1220.
  • Handle: RePEc:taf:regstd:v:44:y:2010:i:9:p:1207-1220 DOI: 10.1080/00343400903365094
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    Cited by:

    1. 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.
    2. 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.
    3. 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.
    4. 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, pages 159-182.
    5. Francesco Aiello & Fernanda Ricotta, 2014. "Firm heterogeneity in productivity across Europe. What explains what?," ERSA conference papers ersa14p808, European Regional Science Association.
    6. 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.
    7. Aiello, Francesco & Bonanno, Graziella, 2015. "Multilevel empirics for small banks in local markets," MPRA Paper 64399, University Library of Munich, Germany.
    8. 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).
    9. 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.
    10. repec:spr:anresc:v:58:y:2017:i:3:d:10.1007_s00168-017-0811-z is not listed on IDEAS
    11. K. Farla, 2014. "Determinants of firms' investment behaviour: a multilevel approach," Applied Economics, Taylor & Francis Journals, vol. 46(34), pages 4231-4241, December.
    12. 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.
    13. Krammer, Sorin M.S., 2009. "Drivers of national innovation in transition: Evidence from a panel of Eastern European countries," Research Policy, Elsevier, pages 845-860.
    14. 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.
    15. 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.
    16. Soushi Suzuki & Peter Nijkamp & Piet Rietveld, 2013. "A Target-Oriented Data Envelopment Analysis for Energy-Environment Efficiency Improvement in Japan," Tinbergen Institute Discussion Papers 13-137/VIII, Tinbergen Institute.
    17. 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.
    18. 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.
    19. 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, pages 131-156.
    20. 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.

    More about this item

    Keywords

    Innovation; Geography; Regional innovation system; Multilevel modelling; 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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