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Spatial econometrics of innovation: Recent contributions and research perspectives

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  • Corinne Autant-Bernard

    ()
    (GATE Lyon Saint-Étienne - Groupe d'analyse et de théorie économique - CNRS : UMR5824 - Université Lumière - Lyon II - École Normale Supérieure (ENS) - Lyon - PRES Université de Lyon - Université Jean Monnet - Saint-Etienne - Université Claude Bernard - Lyon I)

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    Abstract

    Preliminary introduced by Anselin, Varga and Acs (1997) spatial econometric tools are widely used in economic geography of innovation. Taking into account spatial autocorrelation and spatial heterogeneity of regional innovation, this paper analyzes how these techniques have improved the ability to quantify knowledge spillovers, to measure their spatial extent, and to explore the underlying mechanisms and especially the interactions between geographical and social distance. It is also argued that the recent developments of spatio-dynamic models opens new research lines to investigate the temporal dimension of both spatial knowledge flows and innovation networks, two issues that should rank high in the research agenda of the geography of innovation.

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    Bibliographic Info

    Paper provided by HAL in its series Working Papers with number halshs-00605056.

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    Date of creation: 30 Jun 2011
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    Handle: RePEc:hal:wpaper:halshs-00605056

    Note: View the original document on HAL open archive server: http://halshs.archives-ouvertes.fr/halshs-00605056
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    Related research

    Keywords: Geography of innovation; spatial correlation; spatio-dynamic panels; innovation;

    This paper has been announced in the following NEP Reports:

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    1. Anselin, Luc & Varga, Attila & Acs, Zoltan, 1997. "Local Geographic Spillovers between University Research and High Technology Innovations," Journal of Urban Economics, Elsevier, vol. 42(3), pages 422-448, November.
    2. Olivier Parent & James P. LeSage, 2008. "Using the variance structure of the conditional autoregressive spatial specification to model knowledge spillovers," Journal of Applied Econometrics, John Wiley & Sons, Ltd., vol. 23(2), pages 235-256.
    3. MARTIN, Philippe & MAYER, Thierry & MAYNERIS, Florian, . "Spatial concentration and plant-level productivity in France," CORE Discussion Papers RP -2273, Université catholique de Louvain, Center for Operations Research and Econometrics (CORE).
    4. Parent, Olivier & LeSage, James P., 2012. "Spatial dynamic panel data models with random effects," Regional Science and Urban Economics, Elsevier, vol. 42(4), pages 727-738.
    5. 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, 08.
    6. Benjamin Gomes-Casseres & John Hagedoorn & Adam B. Jaffe, 2002. "Do Alliances Promote Knowledge Flows?," NBER Chapters, in: Corporate Alliances National Bureau of Economic Research, Inc.
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    8. Vertova, Giovanna, 2002. "A historical investigation of the geography of innovative activities," Structural Change and Economic Dynamics, Elsevier, vol. 13(3), pages 259-283, September.
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      • Edward L. Glaeser & Hedi D. Kallal & Jose A. Scheinkman & Andrei Shleifer, 1991. "Growth in Cities," NBER Working Papers 3787, National Bureau of Economic Research, Inc.
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    13. Sorenson, Olav & Rivkin, Jan W. & Fleming, Lee, 2006. "Complexity, networks and knowledge flow," Research Policy, Elsevier, vol. 35(7), pages 994-1017, September.
    14. Mario Maggioni & Teodora Uberti, 2009. "Knowledge networks across Europe: which distance matters?," The Annals of Regional Science, Springer, vol. 43(3), pages 691-720, September.
    15. Hoekman, Jarno & Frenken, Koen & Tijssen, Robert J.W., 2010. "Research collaboration at a distance: Changing spatial patterns of scientific collaboration within Europe," Research Policy, Elsevier, vol. 39(5), pages 662-673, June.
    16. Lee, Lung-fei & Yu, Jihai, 2010. "Estimation of spatial autoregressive panel data models with fixed effects," Journal of Econometrics, Elsevier, vol. 154(2), pages 165-185, February.
    17. Manfred M. Fischer & Daniel A. Griffith, 2008. "Modeling Spatial Autocorrelation In Spatial Interaction Data: An Application To Patent Citation Data In The European Union," Journal of Regional Science, Wiley Blackwell, vol. 48(5), pages 969-989.
    18. Nicolas Debarsy & Cem Ertur & James P. Lesage, 2012. "Interpreting Dynamic Space-Time Panel Data Models," Post-Print hal-00525740, HAL.
    19. Yu, Jihai & de Jong, Robert & Lee, Lung-fei, 2008. "Quasi-maximum likelihood estimators for spatial dynamic panel data with fixed effects when both n and T are large," Journal of Econometrics, Elsevier, vol. 146(1), pages 118-134, September.
    20. Manfred M. Fischer & Thomas Scherngell & Eva Jansenberger, 2005. "The Geography of Knowledge Spillovers between High-Technology Firms in Europe - Evidence from a Spatial Interaction Modelling Perspective," ERSA conference papers ersa05p5, European Regional Science Association.
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