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Spatial econometrics of innovation : Recent contributions and research perspectives

Author

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  • Corinne Autant-Bernard

    (GATE Lyon Saint-Étienne - Groupe d'Analyse et de Théorie Economique Lyon - Saint-Etienne - ENS de Lyon - École normale supérieure de Lyon - Université de Lyon - UL2 - Université Lumière - Lyon 2 - UCBL - Université Claude Bernard Lyon 1 - Université de Lyon - UJM - Université Jean Monnet - Saint-Étienne - CNRS - Centre National de la Recherche Scientifique)

Abstract

First introduced in the field of economics of innovation by Anselin, Varga and Acs (1997), spatial econometric tools are increasingly used to study the geography of innovation. By taking spatial autocorrelation and spatial heterogeneity of regional innovation into account, this paper analyzes how these techniques have improved our ability to quantify knowledge spillovers, to measure their spatial extent and to explore the underlying mechanisms, especially the interactions between geographical and social distance. It is also argued that the recent developments of spatio-dynamic models open new research lines for investigating 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. RÉSUMÉ Initialement introduits dans le domaine de l'économie de l'innovation par Anselin, Varga et Acs (1997), les outils de l'économétrie spatiale sont de plus en plus utilisés pour étudier la géographie de l'innovation. En tenant compte de l'autocorrélation spatiale mais aussi de l'hétérogénéité spatiale de l'innovation régionale, cette communication analyse la façon dont ces techniques ont permis d'améliorer notre capacité de quantification des retombées des connaissances, pour mesurer leur envergure spatiale et explorer les mécanismes sous-jacents, notamment les interactions entre distances géographique et sociale. Nous soutenons également que les récents développements des modéles spatio-dynamiques ouvrent de nouvelles perspectives de recherches pour rendre compte de la dimension temporelle des flux spatiaux de connaissance et des réseaux d'innovation, deux questions qui devraient occuper une place de choix dans le programme de recherche de la géographie de l'innovation. EXTRACTO Las herramientas de econometría espacial, previamente introducidas por Anselin, Varga y Acs, se emplean ampliamente en la geograf#xed;a económica de la innovación. Teniendo en cuenta la correlación
(This abstract was borrowed from another version of this item.)

Suggested Citation

  • Corinne Autant-Bernard, 2012. "Spatial econometrics of innovation : Recent contributions and research perspectives," Post-Print halshs-00728205, HAL.
    • Handle: RePEc:hal:journl:halshs-00728205
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    JEL classification:

    • O31 - Economic Development, Innovation, Technological Change, and Growth - - Innovation; Research and Development; Technological Change; Intellectual Property Rights - - - Innovation and Invention: Processes and Incentives
    • R12 - Urban, Rural, Regional, Real Estate, and Transportation Economics - - General Regional Economics - - - Size and Spatial Distributions of Regional Economic Activity; Interregional Trade (economic geography)
    • C31 - Mathematical and Quantitative Methods - - Multiple or Simultaneous Equation Models; Multiple Variables - - - Cross-Sectional Models; Spatial Models; Treatment Effect Models; Quantile Regressions; Social Interaction Models

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