Advanced Search
MyIDEAS: Login to save this article or follow this journal

Spatial Econometrics of Innovation: Recent Contributions and Research Perspectives

Contents:

Author Info

  • Corinne Autant-Bernard
Registered author(s):

    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 geografía económica de la innovación. Teniendo en cuenta la correlación espacial y la heterogeneidad espacial de la innovación regional, este estudio analiza cómo estas técnicas 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. También 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&# x5B66;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&# x6790;工具被广泛应用于 21B;新产业的经济地理Ԡ 6;析。通过分析区域创 新产业的空间自相关&# x548C;不均匀性 , 本文分析了如何应用&# x7A7A;间经济学分析方法 E2E;助我们更好地量化ݾ 5;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&# x793E;会距离间的互动方 762;。本文还指出 , 时空动态模型的最新&# x8FDB;展为调查空间知识 D41;向和创新网络打开Ө 6;新的研究方向 , 而这两个问题应该是&# x521B;新经济地理分析研 A76;中最为紧要的。

    Download Info

    If you experience problems downloading a file, check if you have the proper application to view it first. In case of further problems read the IDEAS help page. Note that these files are not on the IDEAS site. Please be patient as the files may be large.
    File URL: http://hdl.handle.net/10.1080/17421772.2012.722665
    Download Restriction: Access to full text is restricted to subscribers.

    As the access to this document is restricted, you may want to look for a different version under "Related research" (further below) or search for a different version of it.

    Bibliographic Info

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

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

    as in new window
    Handle: RePEc:taf:specan:v:7:y:2012:i:4:p:403-419

    Contact details of provider:
    Web page: http://www.tandfonline.com/RSEA20

    Order Information:
    Web: http://www.tandfonline.com/pricing/journal/RSEA20

    Related research

    Keywords:

    References

    No references listed on IDEAS
    You can help add them by filling out this form.

    Citations

    Citations are extracted by the CitEc Project, subscribe to its RSS feed for this item.
    as in new window

    Cited by:
    1. Cardamone, Paola, 2014. "R&D, spatial proximity and productivity at firm level: evidence from Italy," MPRA Paper 57149, University Library of Munich, Germany.

    Lists

    This item is not listed on Wikipedia, on a reading list or among the top items on IDEAS.

    Statistics

    Access and download statistics

    Corrections

    When requesting a correction, please mention this item's handle: RePEc:taf:specan:v:7:y:2012:i:4:p:403-419. See general information about how to correct material in RePEc.

    For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: (Michael McNulty).

    If you have authored this item and are not yet registered with RePEc, we encourage you to do it here. This allows to link your profile to this item. It also allows you to accept potential citations to this item that we are uncertain about.

    If references are entirely missing, you can add them using this form.

    If the full references list an item that is present in RePEc, but the system did not link to it, you can help with this form.

    If you know of missing items citing this one, you can help us creating those links by adding the relevant references in the same way as above, for each refering item. If you are a registered author of this item, you may also want to check the "citations" tab in your profile, as there may be some citations waiting for confirmation.

    Please note that corrections may take a couple of weeks to filter through the various RePEc services.