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Are R&D subsidies a substitute or a complement to privately funded R&D? Evidence from France using propensity score methods for non- experimental data

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  • DUGUET Emmanuel

    (EPEE - University of Evry)

Abstract

This study examines the effect of research and development subsidies on the private funding of R&D in France. We address this issue from the annual R&D survey over 1985-1997, which provides information about the R&D subsidies given by all the ministries to the firms having at least one full-time person working on R&D. In order to determine whether the supported firms would have invested the same amount of private R&D without the subsidies, we use matching methods. We show that the use of these methods is important because the global evaluations, in this paper, more often give a potential effect among the non-supported firms than a real effect among the supported firms. We first study the probability to get a subsidy. We find that this probability is increasing with size, the debt ratio and the importance of privately funded R&D. In a second step, controlling for the past public support the firms benefited from, we find that, on average, public funds add to private funds, so that there would be no significant crowding out effect.

Suggested Citation

  • DUGUET Emmanuel, 2004. "Are R&D subsidies a substitute or a complement to privately funded R&D? Evidence from France using propensity score methods for non- experimental data," Public Economics 0411007, University Library of Munich, Germany.
  • Handle: RePEc:wpa:wuwppe:0411007
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    References listed on IDEAS

    as
    1. Emmanuel Duguet, 2006. "Innovation height, spillovers and tfp growth at the firm level: Evidence from French manufacturing," Economics of Innovation and New Technology, Taylor & Francis Journals, vol. 15(4-5), pages 415-442.
    2. David, Paul A. & Hall, Bronwyn H. & Toole, Andrew A., 2000. "Is public R&D a complement or substitute for private R&D? A review of the econometric evidence," Research Policy, Elsevier, vol. 29(4-5), pages 497-529, April.
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    4. Crepon, B. & Duguet, E. & Kabla, I., 1995. "A Moderate Support to Schumpeterian Conjectures from Various Innovation Measures," Papiers d'Economie Mathématique et Applications 95.06, Université Panthéon-Sorbonne (Paris 1).
    5. Donald W. K. Andrews & Moshe Buchinsky, 2000. "A Three-Step Method for Choosing the Number of Bootstrap Repetitions," Econometrica, Econometric Society, vol. 68(1), pages 23-52, January.
    6. Kenneth Arrow, 1962. "Economic Welfare and the Allocation of Resources for Invention," NBER Chapters, in: The Rate and Direction of Inventive Activity: Economic and Social Factors, pages 609-626, National Bureau of Economic Research, Inc.
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    More about this item

    Keywords

    propensity score; non-experimental data; policy evaluation; research and development; subsidies;
    All these keywords.

    JEL classification:

    • C14 - Mathematical and Quantitative Methods - - Econometric and Statistical Methods and Methodology: General - - - Semiparametric and Nonparametric Methods: General
    • H25 - Public Economics - - Taxation, Subsidies, and Revenue - - - Business Taxes and Subsidies
    • L98 - Industrial Organization - - Industry Studies: Transportation and Utilities - - - Government Policy
    • O38 - Economic Development, Innovation, Technological Change, and Growth - - Innovation; Research and Development; Technological Change; Intellectual Property Rights - - - Government Policy

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