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An exploration of local R&D spillovers in France

Author

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  • Jacques MAIRESSE (CREST-ENSAE, UNU-MERIT & NBER)
  • Benoît MULKAY (LEREPS-GRES)

Abstract

This paper is an attempt to assess the existence and magnitude of local research spillovers in France. We rely on the model of an extended production function (Cobb-Douglas and Translog) with both local and neighborhood R&D capital stocks. We estimate this model on 312 employment areas as of 1999, first for the whole economy, then separately for five large manufacturing industries. We find estimates of R&D capital elasticities with respect to productivity which are significant and plausible both within own-area and across neighboring areas, as well as within own-industry but not across different industries.

Suggested Citation

  • Jacques MAIRESSE (CREST-ENSAE, UNU-MERIT & NBER) & Benoît MULKAY (LEREPS-GRES), 2008. "An exploration of local R&D spillovers in France," Cahiers du GRES (2002-2009) 2008-15, Groupement de Recherches Economiques et Sociales.
  • Handle: RePEc:grs:wpegrs:2008-15
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    File URL: http://cahiersdugres.u-bordeaux4.fr/2008/2008-15.pdf
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    References listed on IDEAS

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    1. Ciccone, Antonio, 2002. "Agglomeration effects in Europe," European Economic Review, Elsevier, vol. 46(2), pages 213-227, February.
    2. Zvi Griliches & Jacques Mairesse, 1995. "Production Functions: The Search for Identification," NBER Working Papers 5067, National Bureau of Economic Research, Inc.
    3. Corinne Autant-Bernard & Jacques Mairesse & Nadine Massard, 2007. "Spatial knowledge diffusion through collaborative networks," Papers in Regional Science, Wiley Blackwell, vol. 86(3), pages 341-350, August.
    4. LE GALLO, Julie, 2000. "Econométrie spatiale 1 -Autocorrélation spatiale," LATEC - Document de travail - Economie (1991-2003) 2000-05, LATEC, Laboratoire d'Analyse et des Techniques EConomiques, CNRS UMR 5118, Université de Bourgogne.
    5. Jacques Mairesse & Mohamed Sassenou, 1991. "R&D Productivity: A Survey of Econometric Studies at the Firm Level," NBER Working Papers 3666, National Bureau of Economic Research, Inc.
    6. 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.
    7. Audretsch, David B. & Feldman, Maryann P., 2004. "Knowledge spillovers and the geography of innovation," Handbook of Regional and Urban Economics,in: J. V. Henderson & J. F. Thisse (ed.), Handbook of Regional and Urban Economics, edition 1, volume 4, chapter 61, pages 2713-2739 Elsevier.
    8. Cockburn, Iain M & Henderson, Rebecca M, 1998. "Absorptive Capacity, Coauthoring Behavior, and the Organization of Research in Drug Discovery," Journal of Industrial Economics, Wiley Blackwell, vol. 46(2), pages 157-182, June.
    9. James LeSage & R. Kelley Pace, 2010. "Spatial Econometrics," Book Chapters,in: Web Book of Regional Science Regional Research Institute, West Virginia University.
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    Cited by:

    1. repec:taf:indinn:v:23:y:2016:i:7:p:551-574 is not listed on IDEAS
    2. IKEUCHI Kenta & René BELDERBOS & FUKAO Kyoji & Young Gak KIM & KWON Hyeog Ug, 2015. "Buyers, Suppliers, and R&D Spillovers," Discussion papers 15047, Research Institute of Economy, Trade and Industry (RIETI).
    3. Bjørner, Thomas Bue & Mackenhauer, Janne, 2013. "Spillover from private energy research," Resource and Energy Economics, Elsevier, vol. 35(2), pages 171-190.

    More about this item

    Keywords

    Productivity; R&D; Local R&D Spillovers; Spatial Econometrics;

    JEL classification:

    • O30 - Economic Development, Innovation, Technological Change, and Growth - - Innovation; Research and Development; Technological Change; Intellectual Property Rights - - - General
    • O32 - Economic Development, Innovation, Technological Change, and Growth - - Innovation; Research and Development; Technological Change; Intellectual Property Rights - - - Management of Technological Innovation and R&D
    • O47 - Economic Development, Innovation, Technological Change, and Growth - - Economic Growth and Aggregate Productivity - - - Empirical Studies of Economic Growth; Aggregate Productivity; Cross-Country Output Convergence
    • C21 - Mathematical and Quantitative Methods - - Single Equation Models; Single Variables - - - Cross-Sectional Models; Spatial Models; Treatment Effect Models

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