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Spatial Econometrics of Innovation: Recent Contributions and Research Perspectives


  • Corinne Autant-Bernard


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。

Suggested Citation

  • Corinne Autant-Bernard, 2012. "Spatial Econometrics of Innovation: Recent Contributions and Research Perspectives," Spatial Economic Analysis, Taylor & Francis Journals, vol. 7(4), pages 403-419, December.
  • Handle: RePEc:taf:specan:v:7:y:2012:i:4:p:403-419
    DOI: 10.1080/17421772.2012.722665

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    References listed on IDEAS

    1. Liu, Xiaodong & Patacchini, Eleonora & Zenou, Yves & Lee, Lung-Fei, 2011. "Criminal Networks: Who is the Key Player?," Research Papers in Economics 2011:7, Stockholm University, Department of Economics.
    2. Adam B. Jaffe & Manuel Trajtenberg & Rebecca Henderson, 1993. "Geographic Localization of Knowledge Spillovers as Evidenced by Patent Citations," The Quarterly Journal of Economics, Oxford University Press, vol. 108(3), pages 577-598.
    3. Mario A. Maggioni & T. Erika Uberti & Francesca Gambarotto, 2009. "Mapping the Evolution of "Clusters": A Meta-analysis," Working Papers 2009.74, Fondazione Eni Enrico Mattei.
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    Cited by:

    1. Dongwoo Kang & Sandy Dall’erba, 2016. "Exploring the spatially varying innovation capacity of the US counties in the framework of Griliches’ knowledge production function: a mixed GWR approach," Journal of Geographical Systems, Springer, vol. 18(2), pages 125-157, April.
    2. Zheye Wang & Yeqing Cheng & Xinyue Ye & Y. H. Dennis Wei, 2016. "Analyzing the Space–Time Dynamics of Innovation in China: ESDA and Spatial Panel Approaches," Growth and Change, Wiley Blackwell, vol. 47(1), pages 111-129, March.
    3. Clément Gorin, 2017. "Accessibility, absorptive capacity and innovation in European urban areas," Working Papers 1722, Groupe d'Analyse et de Théorie Economique Lyon St-Étienne (GATE Lyon St-Étienne), Université de Lyon.
    4. Fuhrmeister, Clemens & Titze, Mirko & Blum, Ulrich & Marek, Philipp, 2014. "Does Proximity Matter in the Choice of Partners in Collaborative R&D Projects? – An Empirical Analysis of Granted Projects in Germany," IWH Discussion Papers 12/2014, Halle Institute for Economic Research (IWH).
    5. Paola Cardamone & Valeria Pupo & Fernanda Ricotta, 2016. "Exploring The Relationship Between University And Innovation: Evidence From The Italian Food Industry," Working Papers 201602, Università della Calabria, Dipartimento di Economia, Statistica e Finanza "Giovanni Anania" - DESF.
    6. repec:spr:lsprsc:v:11:y:2018:i:1:d:10.1007_s12076-017-0193-y is not listed on IDEAS
    7. Clément Gorin, 2017. "Accessibility, absorptive capacity and innovation in European urban areas," Working Papers halshs-01584111, HAL.
    8. De Paola, Maria & Ponzo, Michela & Scoppa, Vincenzo, 2016. "Are Men Given Priority for Top Jobs? Investigating the Glass Ceiling in the Italian Academia," IZA Discussion Papers 9658, Institute for the Study of Labor (IZA).
    9. Cardamone, Paola, 2014. "R&D, spatial proximity and productivity at firm level: evidence from Italy," MPRA Paper 57149, University Library of Munich, Germany.
    10. Miguélez, Ernest & Moreno, Rosina, 2015. "Knowledge flows and the absorptive capacity of regions," Research Policy, Elsevier, vol. 44(4), pages 833-848.
    11. repec:eee:ecolet:v:162:y:2018:i:c:p:30-33 is not listed on IDEAS
    12. B. Zorina Khan, 2014. "Of Time and Space: Technological Spillovers among Patents and Unpatented Innovations during Early U.S. Industrialization," NBER Working Papers 20732, National Bureau of Economic Research, Inc.
    13. repec:bla:growch:v:48:y:2017:i:3:p:313-335 is not listed on IDEAS
    14. Varga, Attila & Sebestyén, Tamás, 2015. "Innováció Kelet-Közép-Európában. Az EU keretprogramjaiban való részvétel szerepe az innovációs teljesítményben
      [Innovation in Central East Europe. The role played in innovation performance by parti
      ," Közgazdasági Szemle (Economic Review - monthly of the Hungarian Academy of Sciences), Közgazdasági Szemle Alapítvány (Economic Review Foundation), vol. 0(9), pages 881-908.
    15. Iris Wanzenböck & Philipp Piribauer, 2015. "R&D networks and regional knowledge production in Europe. Evidence from a space-time model," Department of Economics Working Papers wuwp207, Vienna University of Economics and Business, Department of Economics.
    16. Iris Wanzenböck & Thomas Scherngell & Thomas Brenner, 2014. "Embeddedness of regions in European knowledge networks: a comparative analysis of inter-regional R&D collaborations, co-patents and co-publications," The Annals of Regional Science, Springer;Western Regional Science Association, vol. 53(2), pages 337-368, September.

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