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Evaluation of Public R&D Policy: A Meta-Regression Analysis

Author

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  • SYOUM NEGASSI

    (University Paris 1 Pantheon Sorbonne and Visiting Professor Department of Economics,University of Delaware)

  • JEAN-FRANCOIS SATTIN

    (University Paris 1 Pantheon Sorbonne)

Abstract

Economic theory and empirical evidence indicate that technological innovation is an important determinant of long-term economic development. Various country policies have been launched in favour of private research and development (R&D) with economic development as the main objective. As often in economics, public intervention is grounded on the presumed existence of market failures. The purpose of this paper is two-fold. First, it provides an overview of the history of R&D-related tax policies in more than ten industrial countries. Second, after reviewing the existent empirical evidence on the effectiveness of R&D tax credits policies, it presents a meta-regression analysis based on an econometric model. Our results show that an R&D tax credit is strongly significant in the studies taken cumulatively.

Suggested Citation

  • Syoum Negassi & Jean-Francois Sattin, 2014. "Evaluation of Public R&D Policy: A Meta-Regression Analysis," Working Papers 14-09, University of Delaware, Department of Economics.
    • Handle: RePEc:dlw:wpaper:14-09.
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    Cited by:

    1. Alessandro Sterlacchini & Francesco Venturini, 2019. "R&D tax incentives in EU countries: does the impact vary with firm size?," Small Business Economics, Springer, vol. 53(3), pages 687-708, October.
    2. Simachev, Y. & Kuzyk, M. & Zudin, N., 2017. "The Impact of Public Funding and Tax Incentives on Russian Firms: Additionality Effects Evaluation," Journal of the New Economic Association, New Economic Association, vol. 34(2), pages 59-93.
    3. Thomas H. W. Ziesemer, 2021. "The Effects of R&D Subsidies and Publicly Performed R&D on Business R&D: A Survey," Hacienda Pública Española / Review of Public Economics, IEF, vol. 236(1), pages 171-205, March.
    4. Annalisa Caloffi & Marco Mariani & Alessandro Sterlacchini, 2016. "Evaluating Public Supports To The Investment Activities Of Business Firms: A Meta-Regression Analysis Of Italian Studies," Working Papers 0116, CREI Università degli Studi Roma Tre, revised 2016.

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    More about this item

    Keywords

    R&D; Meta-analysis;

    JEL classification:

    • C01 - Mathematical and Quantitative Methods - - General - - - Econometrics
    • C12 - Mathematical and Quantitative Methods - - Econometric and Statistical Methods and Methodology: General - - - Hypothesis Testing: General
    • H53 - Public Economics - - National Government Expenditures and Related Policies - - - Government Expenditures and Welfare Programs
    • H54 - Public Economics - - National Government Expenditures and Related Policies - - - Infrastructures
    • O31 - Economic Development, Innovation, Technological Change, and Growth - - Innovation; Research and Development; Technological Change; Intellectual Property Rights - - - Innovation and Invention: Processes and Incentives
    • O32 - Economic Development, Innovation, Technological Change, and Growth - - Innovation; Research and Development; Technological Change; Intellectual Property Rights - - - Management of Technological Innovation and R&D

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