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An Exploration of Local R&D Spillovers in France

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  • Jacques Mairesse
  • Benoît Mulkay

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 Trans log) 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. The estimated elasticities of productivity with respect to R&D capital are significant and plausible, both with in own-area and across neighboring areas as well as within own-industry, but they are weaker across different industries.

Suggested Citation

  • Jacques Mairesse & Benoît Mulkay, 2007. "An Exploration of Local R&D Spillovers in France," Annals of Economics and Statistics, GENES, issue 87-88, pages 145-166.
    • Handle: RePEc:adr:anecst:y:2007:i:87-88:p:145-166
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    1. 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.
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    6. Zvi Griliches, 1998. "Issues in Assessing the Contribution of Research and Development to Productivity Growth," NBER Chapters, in: R&D and Productivity: The Econometric Evidence, pages 17-45, National Bureau of Economic Research, Inc.
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    9. repec:bla:jindec:v:46:y:1998:i:2:p:157-82 is not listed on IDEAS
    10. Gambardella, Alfonso & Mariani, Myriam & Torrisi, Salvatore, 2002. "How ‘Provincial’ is your Region? Effects on Labour Productivity in Europe," Research Memorandum 004, Maastricht University, Maastricht Economic Research Institute on Innovation and Technology (MERIT).
    11. Corinne Autant-Bernard & James Lesage, 2008. "Specialization, Diversity and Geographical Diffusion of Knowledge," Post-Print hal-00332504, HAL.
    12. 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.
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    1. Ugur, Mehmet & Churchill, Sefa Awaworyi & Luong, Hoang M., 2020. "What do we know about R&D spillovers and productivity? Meta-analysis evidence on heterogeneity and statistical power," Research Policy, Elsevier, vol. 49(1).
    2. Orea, Luis & Álvarez, Inmaculada C., 2019. "A new stochastic frontier model with cross-sectional effects in both noise and inefficiency terms," Journal of Econometrics, Elsevier, vol. 213(2), pages 556-577.
    3. René BELDERBOS & IKEUCHI Kenta & FUKAO Kyoji & KIM Young Gak & KWON Hyeog Ug, 2022. "What Do R&D Spillovers from Universities and Firms Contribute to Productivity? Plant level productivity and technological and geographic proximity in Japan," Discussion papers 22106, Research Institute of Economy, Trade and Industry (RIETI).
    4. Isaksson, Olov H.D. & Simeth, Markus & Seifert, Ralf W., 2016. "Knowledge spillovers in the supply chain: Evidence from the high tech sectors," Research Policy, Elsevier, vol. 45(3), pages 699-706.
    5. Olivier Brossard & Inès Moussa, 2016. "Is there a fallacy of composition of external R&D? An empirical assessment of the impact of quasi-internal, external and offshored R&D," Industry and Innovation, Taylor & Francis Journals, vol. 23(7), pages 551-574, October.
    6. Rene Belderbos & Kyoji Fukao & Kenta Ikeuchi & Young Gak Kim & Hyeog Ug Kwon, 2015. "Buyers, suppliers, and R&D spillovers," Working Papers of Department of Management, Strategy and Innovation, Leuven 502593, KU Leuven, Faculty of Economics and Business (FEB), Department of Management, Strategy and Innovation, Leuven.
    7. Bjørner, Thomas Bue & Mackenhauer, Janne, 2013. "Spillover from private energy research," Resource and Energy Economics, Elsevier, vol. 35(2), pages 171-190.
    8. Carter Bloch, 2013. "R&D spillovers and productivity: an analysis of geographical and technological dimensions," Economics of Innovation and New Technology, Taylor & Francis Journals, vol. 22(5), pages 447-460, July.

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    More about this item

    JEL classification:

    • C21 - Mathematical and Quantitative Methods - - Single Equation Models; Single Variables - - - Cross-Sectional Models; Spatial Models; Treatment Effect Models
    • 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

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