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The differential impact of privately and publicly funded R&D on R&D investment and innovation: The Italian case

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  • Giovanni Cerulli
  • Bianca Potì

    () (CERIS-CNR, Institute for Economic Research on Firms and Growth)

Abstract

The paper explores the impact of a specific R&D policy tool, the Italian “Fondo per le Agevolazioni della Ricerca” (FAR), on industrial R&D and technological output at firm level. Our objective is threefold: first, identifying econometrically the presence/absence of private R&D investment additionality/crowding-out within a pooled sample, in a series of firms’ subsets (by regional, dimensional, technological and other characterizations), and by taking into account the effect of single as well as a mix of policy instruments; second, exploring the output (innovation) additionality by comparing the differential impact of “privately funded” (firm own resources) and “public funded” industrial R&D expenditures on firm patent applications; third, comparing the structural characteristics of the group of firm performing additionality with that doing crowding-out, in order to appreciate which are the firm characteristics driving to the success of the policy at stake. Our results suggest that FAR has been effective in the pooled sample, although no effect emerges in some subsets of firms. In particular, while large firms seem to have been decisive for the success of this policy, small firms present a more marked crowding-out effect. Furthermore, firm growth’s strategy and capacity of effectively transform R&D input into innovation output (patents) seem to lead toward a better effect in term of additionality.

Suggested Citation

  • Giovanni Cerulli & Bianca Potì, 2010. "The differential impact of privately and publicly funded R&D on R&D investment and innovation: The Italian case," Working Papers 10, Doctoral School of Economics, Sapienza University of Rome, revised 2010.
  • Handle: RePEc:dsc:wpaper:10
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    References listed on IDEAS

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    Citations

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    Cited by:

    1. Giovanni Cerulli & Bianca Potì, 2014. "The Impact of Public Support Intensity on Business R&D: Evidence from a Dose-Response Approach," ERSA conference papers ersa14p625, European Regional Science Association.
    2. Michel Dumont, 2013. "Working Paper 01-13 - The impact of subsidies and fiscal incentives on corporate R&D expenditures in Belgium (2001-2009)," Working Papers 1301, Federal Planning Bureau, Belgium.
    3. Szczygielski, Krzysztof & Grabowski, Wojciech & Pamukcu, Mehmet Teoman & Tandogan, Vedat Sinan, 2017. "Does government support for private innovation matter? Firm-level evidence from two catching-up countries," Research Policy, Elsevier, vol. 46(1), pages 219-237.
    4. Giovanni Cerulli & Bianca Poti', 2016. "Explaining firm sensitivity to R&D subsidies within a dose-response model: The role of financial constraints, real cost of investment, and strategic value of R&D," DEM Working Papers 2016/09, Department of Economics and Management.
    5. Giovanni Cerulli, 2012. "Are R&D Subsidies Provided Optimally? Evidence from a Simulated Agency-Firm Stochastic Dynamic Game," Journal of Artificial Societies and Social Simulation, Journal of Artificial Societies and Social Simulation, vol. 15(1), pages 1-7.
    6. Leandro D�Aurizio & Marco Marinucci, 2013. "Italian firms� innovation strategies in 2008-2010," Questioni di Economia e Finanza (Occasional Papers) 197, Bank of Italy, Economic Research and International Relations Area.
    7. Bodas Freitas, Isabel & Castellacci, Fulvio & Fontana, Roberto & Malerba, Franco & Vezzulli, Andrea, 2017. "Sectors and the additionality effects of R&D tax credits: A cross-country microeconometric analysis," Research Policy, Elsevier, vol. 46(1), pages 57-72.
    8. Isabel Bodas Freitas & Fulvio Castellacci & Roberto Fontana & Franco Malerba & Andrea Vezzulli, 2015. "The additionality effects of R&D tax credits across sectors: A cross-country microeconometric analysis," Working Papers on Innovation Studies 20150424, Centre for Technology, Innovation and Culture, University of Oslo.
    9. Giuseppina Testa & Katarzyna Szkuta, 2018. "Improving access to finance for young innovative enterprises with growth potential: evidence of impact on firms' output - Part 2. R&D grant schemes: lessons learned from evaluations," JRC Working Papers JRC109879, Joint Research Centre (Seville site).
    10. 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.
    11. Hottenrott, Hanna & Lopes-Bento, Cindy, 2014. "(International) R&D collaboration and SMEs: The effectiveness of targeted public R&D support schemes," Research Policy, Elsevier, vol. 43(6), pages 1055-1066.
    12. Aristei, David & Sterlacchini, Alessandro & Venturini, Francesco, 2015. "The effects of public supports on business R&D: firm-level evidence across EU countries," MPRA Paper 64611, University Library of Munich, Germany.
    13. Dezhina, Irina & Simachev, Yuri, 2012. "Partnering universities and companies in Russia: effects of new government initiative," MPRA Paper 43622, University Library of Munich, Germany.
    14. Michel Dumont, 2015. "Working Paper 05-15 - Evaluation of federal tax incentives for private R&D in Belgium: An update," Working Papers 1505, Federal Planning Bureau, Belgium.
    15. Hud, Martin & Hussinger, Katrin, 2015. "The impact of R&D subsidies during the crisis," Research Policy, Elsevier, vol. 44(10), pages 1844-1855.
    16. Dezhina, I. & Simachev, Yu., 2013. "Matching Grants for Stimulating Partnerships between Companies and Universities in Innovation Area: Initial Effects in Russia," Journal of the New Economic Association, New Economic Association, vol. 19(3), pages 99-122.
    17. Correa, Paulo & Andres, Luis & Borja-Vega, Christian, 2013. "The impact of government support on firm R&D investments : a meta-analysis," Policy Research Working Paper Series 6532, The World Bank.

    More about this item

    Keywords

    business R&D; public incentives; econometric evaluation;

    JEL classification:

    • O32 - Economic Development, Innovation, Technological Change, and Growth - - Innovation; Research and Development; Technological Change; Intellectual Property Rights - - - Management of Technological Innovation and R&D
    • C52 - Mathematical and Quantitative Methods - - Econometric Modeling - - - Model Evaluation, Validation, and Selection
    • O38 - Economic Development, Innovation, Technological Change, and Growth - - Innovation; Research and Development; Technological Change; Intellectual Property Rights - - - Government Policy

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