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Using the Variance Structure of the Conditional Autoregressive Spatial Specification to Model Knowledge Spillovers

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  • Olivier Parent
  • James P. Lesage

    ()

Abstract

This study investigates the pattern of knowledge spillovers arising from patent activity between European regions. A Bayesian hierarchical model is developed that specifies region-specific latent effects parameters modeled using a connectivity structure between regions that can reflect geographical proximity in conjunction with technological and other types of proximity. This approach exploits the fact that interregional relationships may exhibit industry-specific technological linkages or transportation network linkages, which is in contrast with traditional studies relying exclusively on geographical proximity. We also allow for both symmetric and asymmetric knowledge spillovers between regions, and for heterogeneity across the regional sample. A series of formal Bayesian model comparisons provides support for a model based on technological proximity combined with spatial proximity, asymmetric knowledge spillovers, and heterogeneity in the disturbances. Estimates of region-specific latent effects parameters structured in this fashion are produced by the model and used to draw inferences regarding the character of knowledge spillovers across the regions. The method is illustrated

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Bibliographic Info

Paper provided by University of Cincinnati, Department of Economics in its series University of Cincinnati, Economics Working Papers Series with number 2007-03.

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Length: 31 pages
Date of creation: 2007
Date of revision:
Handle: RePEc:cin:ucecwp:2007-03

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  1. Wolfgang Keller, 2002. "Geographic Localization of International Technology Diffusion," American Economic Review, American Economic Association, vol. 92(1), pages 120-142, March.
  2. Geweke, J, 1993. "Bayesian Treatment of the Independent Student- t Linear Model," Journal of Applied Econometrics, John Wiley & Sons, Ltd., vol. 8(S), pages S19-40, Suppl. De.
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  7. Maria Abreu & Henri L.F. de Groot & Raymond J.G.M. Florax, 2004. "Space and Growth," Tinbergen Institute Discussion Papers 04-129/3, Tinbergen Institute.
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  9. Bruno Van Pottelsberghe De La Potterie & Frank Lichtenberg, 2001. "Does Foreign Direct Investment Transfer Technology Across Borders?," The Review of Economics and Statistics, MIT Press, vol. 83(3), pages 490-497, August.
  10. Maurseth, Per Botolf & Verspagen, Bart, 2002. " Knowledge Spillovers in Europe: A Patent Citations Analysis," Scandinavian Journal of Economics, Wiley Blackwell, vol. 104(4), pages 531-45, December.
  11. Corinne Autant-Bernard, 2001. "The Geography Of Knowledge Spillovers And Technological Proximity," Economics of Innovation and New Technology, Taylor & Francis Journals, vol. 10(4), pages 237-254.
  12. Adam B. Jaffe & Manuel Trajtenberg & Rebecca Henderson, 1992. "Geographic Localization of Knowledge Spillovers as Evidenced by Patent Citations," NBER Working Papers 3993, National Bureau of Economic Research, Inc.
  13. Won Kim, Chong & Phipps, Tim T. & Anselin, Luc, 2003. "Measuring the benefits of air quality improvement: a spatial hedonic approach," Journal of Environmental Economics and Management, Elsevier, vol. 45(1), pages 24-39, January.
  14. 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.
  15. Hall, B. & Jaffe, A. & Trajtenberg, M., 2001. "The NBER Patent Citations Data File: Lessons, Insights and Methodological Tools," Papers 2001-29, Tel Aviv.
  16. Berger J.O. & De Oliveira V. & Sanso B., 2001. "Objective Bayesian Analysis of Spatially Correlated Data," Journal of the American Statistical Association, American Statistical Association, vol. 96, pages 1361-1374, December.
  17. 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.
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