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Spatial Econometrics of Innovation: Recent Contributions and Research Perspectives

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  • Corinne Autant-Bernard
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    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 espacial y la heterogeneidad espacial de la innovación regional, este estudio analiza cómo estas t#xe9;cnicas han mejorado nuestra habilidad para cuantificar los spillovers de conocimiento, medir su extensión espacial y explorar los mecanismos subyacentes, especialmente, las interacciones entre la distancia geográfica y social. Tambi#xe9;n se discute que los recientes desarrollos de modelos dinámico-espaciales abren nuevas líneas de estudio para investigar la dimensión temporal de los flujos de conocimiento espacial y las redes de innovación, dos cuestiones que deberían clasificarse en posiciones altas del programa de investigación de la geografía de la innovación. 创新产业的空间经济学分析 : 最新成果和研究视角 摘要 : 最早由 Anselin, Varga and Acs 引进的空间经济学分析工具被广泛应用于创新产业的经济地理分析。通过分析区域创 新产业的空间自相关和不均匀性 , 本文分析了如何应用空间经济学分析方法帮助我们更好地量化知识经济 , 测量其空间分布 , 探索潜在机制 , 尤其是在空间距离和社会距离间的互动方面。本文还指出 , 时空动态模型的最新进展为调查空间知识流向和创新网络打开了新的研究方向 , 而这两个问题应该是创新经济地理分析研究中最为紧要的。

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    Article provided by Taylor & Francis Journals in its journal Spatial Economic Analysis.

    Volume (Year): 7 (2012)
    Issue (Month): 4 (December)
    Pages: 403-419

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    Handle: RePEc:taf:specan:v:7:y:2012:i:4:p:403-419
    DOI: 10.1080/17421772.2012.722665
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