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Dépendance spatiale sur données de panel : application à la relation Brevets-R&D au niveau régional

  • Ouardighi, Jalal El

    (Bureau d’Économie Théorique et Appliquée (BETA – Theme))

Registered author(s):

    This paper presents estimates of the patents-R&D relationship across French regions over the period 1991-1996, using an error component model with spatial dependence. The theoretical framework examines the spatial spillovers effects which can be caused by the technological or geographical proximity of regions. The model is estimated by Maximum Likelihood. The empirical results indicate a significant impact of R&D expenditures upon the patenting activity at the regional level. The technological spillover is positive but its statistical significance depends on whether the regional effects are fixed or random. On the other hand, there is no evidence of geographical spillover. Cet article présente les estimations de la relation brevets-recherche et développement (R&D) au niveau des régions françaises sur la période 1991-1996, en utilisant un modèle à erreurs composées avec dépendance spatiale. L’approche analytique prend en compte les effets des externalités spatiales des activités de recherche causées par la proximité technologique ou géographique des régions. Le modèle est estimé par le maximum de vraisemblance. Les résultats empiriques montrent une influence significative des dépenses de R&D sur l’activité des dépôts de brevets affectés aux régions. Les externalités technologiques sont positives mais leur signification dépend du caractère fixe ou aléatoire des effets régionaux. Par contre, les externalités géographiques demeurent absentes.

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    Article provided by Société Canadienne de Science Economique in its journal L'Actualité économique.

    Volume (Year): 78 (2002)
    Issue (Month): 1 (Mars)
    Pages: 67-86

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    Handle: RePEc:ris:actuec:v:78:y:2002:i:1:p:67-86
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    1. Jerry A. Hausman & Bronwyn H. Hall & Zvi Griliches, 1984. "Econometric Models for Count Data with an Application to the Patents-R&D Relationship," NBER Technical Working Papers 0017, National Bureau of Economic Research, Inc.
    2. Badi H. Baltagi & Dong Li, 2006. "Prediction in the Panel Data Model with Spatial Correlation: The Case of Liquor," Center for Policy Research Working Papers 84, Center for Policy Research, Maxwell School, Syracuse University.
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    4. Anselin, Luc & Hudak, Sheri, 1992. "Spatial econometrics in practice : A review of software options," Regional Science and Urban Economics, Elsevier, vol. 22(3), pages 509-536, September.
    5. Georg LICHT & Konrad ZOZ, 1998. "Patents and R&D, An Econometric Investigation Using Applications for German, European and US Patents by German Companies," Annales d'Economie et de Statistique, ENSAE, issue 49-50, pages 329-360.
    6. J. A. Hausman, 1976. "Specification Tests in Econometrics," Working papers 185, Massachusetts Institute of Technology (MIT), Department of Economics.
    7. Magnus, Jan R., 1982. "Multivariate error components analysis of linear and nonlinear regression models by maximum likelihood," Journal of Econometrics, Elsevier, vol. 19(2-3), pages 239-285, August.
    8. Crepon, Bruno & Duguet, Emmanuel, 1997. "Estimating the Innovation Function from Patent Numbers: GMM on Count Panel Data," Journal of Applied Econometrics, John Wiley & Sons, Ltd., vol. 12(3), pages 243-63, May-June.
    9. repec:ner:tilbur:urn:nbn:nl:ui:12-153211 is not listed on IDEAS
    10. Jaffe, Adam B & Trajtenberg, Manuel & Henderson, Rebecca, 1993. "Geographic Localization of Knowledge Spillovers as Evidenced by Patent Citations," The Quarterly Journal of Economics, MIT Press, vol. 108(3), pages 577-98, August.
    11. Zvi Griliches, 1998. "Patent Statistics as Economic Indicators: A Survey," NBER Chapters, in: R&D and Productivity: The Econometric Evidence, pages 287-343 National Bureau of Economic Research, Inc.
    12. Audretsch, David B & Feldman, Maryann P, 1996. "R&D Spillovers and the Geography of Innovation and Production," American Economic Review, American Economic Association, vol. 86(3), pages 630-40, June.
    13. Anselin, Luc & Bera, Anil K. & Florax, Raymond & Yoon, Mann J., 1996. "Simple diagnostic tests for spatial dependence," Regional Science and Urban Economics, Elsevier, vol. 26(1), pages 77-104, February.
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    15. Florax, R. & Folmer, H., 1991. "Specification and Estimation of Spatial Linear Regression Models: Monte Carlo Evaluation of Pre-Test Estimator," Mansholt Working Papers 1991-4, Wageningen University, Mansholt Graduate School of Social Sciences.
    16. Hall, Bronwyn H & Griliches, Zvi & Hausman, Jerry A, 1986. "Patents and R and D: Is There a Lag?," International Economic Review, Department of Economics, University of Pennsylvania and Osaka University Institute of Social and Economic Research Association, vol. 27(2), pages 265-83, June.
    17. repec:fth:harver:1473 is not listed on IDEAS
    18. Dubin, Robin A, 1988. "Estimation of Regression Coefficients in the Presence of Spatially Autocorrelated Error Terms," The Review of Economics and Statistics, MIT Press, vol. 70(3), pages 466-74, August.
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    20. Kelejian, Harry H & Prucha, Ingmar R, 1999. "A Generalized Moments Estimator for the Autoregressive Parameter in a Spatial Model," International Economic Review, Department of Economics, University of Pennsylvania and Osaka University Institute of Social and Economic Research Association, vol. 40(2), pages 509-33, May.
    21. Jaffe, Adam B, 1989. "Real Effects of Academic Research," American Economic Review, American Economic Association, vol. 79(5), pages 957-70, December.
    22. Kelejian, Harry H & Prucha, Ingmar R, 1998. "A Generalized Spatial Two-Stage Least Squares Procedure for Estimating a Spatial Autoregressive Model with Autoregressive Disturbances," The Journal of Real Estate Finance and Economics, Springer, vol. 17(1), pages 99-121, July.
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