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

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  • Ouardighi, Jalal El

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

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    Abstract

    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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    Bibliographic Info

    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. 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.
    2. 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.
    3. J. A. Hausman, 1976. "Specification Tests in Econometrics," Working papers 185, Massachusetts Institute of Technology (MIT), Department of Economics.
    4. Acs, Zoltan J & Audretsch, David B & Feldman, Maryann P, 1994. "R&D Spillovers and Recipient Firm Size," The Review of Economics and Statistics, MIT Press, vol. 76(2), pages 336-40, May.
    5. 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.
    6. Magnus, J.R., 1982. "Multivariate error components analysis of linear and nonlinear regression models by maximum likelihood," Open Access publications from Tilburg University urn:nbn:nl:ui:12-153211, Tilburg University.
    7. Bruno Crépon & Emmanuel Duguet, 1994. "Innovation : mesures, rendements et concurrence," Économie et Statistique, Programme National Persée, vol. 275(1), pages 121-134.
    8. 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.
    9. Florax, Raymond & Folmer, Henk, 1992. "Specification and estimation of spatial linear regression models : Monte Carlo evaluation of pre-test estimators," Regional Science and Urban Economics, Elsevier, vol. 22(3), pages 405-432, September.
    10. 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.
    11. Mundlak, Yair, 1978. "On the Pooling of Time Series and Cross Section Data," Econometrica, Econometric Society, vol. 46(1), pages 69-85, January.
    12. 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.
    13. Badi Baltagi & Dong Li, 2006. "Prediction in the Panel Data Model with Spatial Correlation: the Case of Liquor," Spatial Economic Analysis, Taylor & Francis Journals, vol. 1(2), pages 175-185.
    14. Hausman, Jerry & Hall, Bronwyn H & Griliches, Zvi, 1984. "Econometric Models for Count Data with an Application to the Patents-R&D Relationship," Econometrica, Econometric Society, vol. 52(4), pages 909-38, July.
    15. 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.
    16. repec:fth:harver:1473 is not listed on IDEAS
    17. 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.
    18. 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.
    19. 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.
    20. Jaffe, Adam B, 1989. "Real Effects of Academic Research," American Economic Review, American Economic Association, vol. 79(5), pages 957-70, December.
    21. 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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