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Intended and unintended effects of public incentives for innovation. Quasi-experimental evidence from Italy

Author

Listed:
  • Mellace, Giovanni

    (Department of Business and Economics)

  • Ventura, Marco

    (Department of Economics and Law)

Abstract
This paper provides an extensive empirical evaluation of a policy introduced in Italy at the end of 2012 to incentivize young innovative start-up firms. Using a Regression Discontinuity Design (RDD) we estimate the causal effects of the policy on the firms’ share of intangible assets, turnover, number of employees, and number of partners. Our results indicate that two years after its implementation the policy was effective only in increasing the number of partners, thus attracting private investments, but failed, at least in the short run, in boosting innovation or increasing employment. It follows that the new investors generated by the policy might have been attracted only by the tax benefit and had little interest in innovation.

Suggested Citation

  • Mellace, Giovanni & Ventura, Marco, 2019. "Intended and unintended effects of public incentives for innovation. Quasi-experimental evidence from Italy," Discussion Papers on Economics 9/2019, University of Southern Denmark, Department of Economics.
  • Handle: RePEc:hhs:sdueko:2019_009
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    1. Richard K. Crump & V. Joseph Hotz & Guido W. Imbens & Oscar A. Mitnik, 2009. "Dealing with limited overlap in estimation of average treatment effects," Biometrika, Biometrika Trust, vol. 96(1), pages 187-199.
    2. Martin Falk, 2006. "What drives business Research and Development (R&D) intensity across Organisation for Economic Co-operation and Development (OECD) countries?," Applied Economics, Taylor & Francis Journals, vol. 38(5), pages 533-547.
    3. Raffaello Bronzini & Eleonora Iachini, 2014. "Are Incentives for R&D Effective? Evidence from a Regression Discontinuity Approach," American Economic Journal: Economic Policy, American Economic Association, vol. 6(4), pages 100-134, November.
    4. Bloom, Nick & Griffith, Rachel & Van Reenen, John, 2002. "Do R&D tax credits work? Evidence from a panel of countries 1979-1997," Journal of Public Economics, Elsevier, vol. 85(1), pages 1-31, July.
    5. Sebastian Calonico & Matias D. Cattaneo & Max H. Farrell & Rocío Titiunik, 2019. "Regression Discontinuity Designs Using Covariates," The Review of Economics and Statistics, MIT Press, vol. 101(3), pages 442-451, July.
    6. David S. Lee & Thomas Lemieux, 2010. "Regression Discontinuity Designs in Economics," Journal of Economic Literature, American Economic Association, vol. 48(2), pages 281-355, June.
    7. Sebastian Calonico & Matias D. Cattaneo & Rocio Titiunik, 2014. "Robust data-driven inference in the regression-discontinuity design," Stata Journal, StataCorp LP, vol. 14(4), pages 909-946, December.
    8. James R. Hines, Jr., 1994. "No Place like Home: Tax Incentives and the Location of R&D by American Multinationals," NBER Chapters, in: Tax Policy and the Economy, Volume 8, pages 65-104, National Bureau of Economic Research, Inc.
    9. Nicholas Bloom & Mark Schankerman & John Van Reenen, 2013. "Identifying Technology Spillovers and Product Market Rivalry," Econometrica, Econometric Society, vol. 81(4), pages 1347-1393, July.
    10. Francesco Manaresi & Carlo Menon & Pietro Santoleri, 2021. "Supporting innovative entrepreneurship: an evaluation of the Italian “Start-up Act” [The effects of entry on incumbent innovation and productivity]," Industrial and Corporate Change, Oxford University Press and the Associazione ICC, vol. 30(6), pages 1591-1614.
    11. Daniel J. Wilson, 2009. "Beggar Thy Neighbor? The In-State, Out-of-State, and Aggregate Effects of R&D Tax Credits," The Review of Economics and Statistics, MIT Press, vol. 91(2), pages 431-436, May.
    12. Sebastian Calonico & Matias D. Cattaneo & Rocio Titiunik, 2014. "Robust Nonparametric Confidence Intervals for Regression‐Discontinuity Designs," Econometrica, Econometric Society, vol. 82, pages 2295-2326, November.
    13. Paolo Finaldi Russo & Silvia Magri & Cristiana Rampazzi, 2016. "Innovative start-ups in Italy: their special features and the effects of the 2012 law," Questioni di Economia e Finanza (Occasional Papers) 339, Bank of Italy, Economic Research and International Relations Area.
    14. Hall, Bronwyn H. & Mairesse, Jacques & Mohnen, Pierre, 2010. "Measuring the Returns to R&D," Handbook of the Economics of Innovation, in: Bronwyn H. Hall & Nathan Rosenberg (ed.), Handbook of the Economics of Innovation, edition 1, volume 2, chapter 0, pages 1033-1082, Elsevier.
    15. Dagenais, M. & Mohnen, P. & Therrien, P., 1997. "Do Canadian Firms Respond to Fiscal Incentives To Research and Development?," G.R.E.Q.A.M. 97b05, Universite Aix-Marseille III.
    16. Bronwyn H. Hall, 2010. "Measuring the Returns to R&D: The Depreciation Problem," NBER Chapters, in: Contributions in Memory of Zvi Griliches, pages 341-381, National Bureau of Economic Research, Inc.
    17. Sebastian Calonico & Matias D. Cattaneo & Max H. Farrell, 2018. "On the Effect of Bias Estimation on Coverage Accuracy in Nonparametric Inference," Journal of the American Statistical Association, Taylor & Francis Journals, vol. 113(522), pages 767-779, April.
    18. Catherine Fazio & Jorge Guzman & Scott Stern, 2019. "The Impact of State-Level R&D Tax Credits on the Quantity and Quality of Entrepreneurship," NBER Working Papers 26099, National Bureau of Economic Research, Inc.
    19. Sebastian Calonico & Matias D. Cattaneo & Rocío Titiunik, 2015. "Optimal Data-Driven Regression Discontinuity Plots," Journal of the American Statistical Association, Taylor & Francis Journals, vol. 110(512), pages 1753-1769, December.
    20. Battistin, Erich & Rettore, Enrico, 2008. "Ineligibles and eligible non-participants as a double comparison group in regression-discontinuity designs," Journal of Econometrics, Elsevier, vol. 142(2), pages 715-730, February.
    21. Ajay Agrawal & Carlos Rosell & Timothy Simcoe, 2020. "Tax Credits and Small Firm R&D Spending," American Economic Journal: Economic Policy, American Economic Association, vol. 12(2), pages 1-21, May.
    22. Bronwyn H. Hall & Nathan Rosenberg (ed.), 2010. "Handbook of the Economics of Innovation," Handbook of the Economics of Innovation, Elsevier, edition 1, volume 1, number 1.
    23. Imbens, Guido W & Angrist, Joshua D, 1994. "Identification and Estimation of Local Average Treatment Effects," Econometrica, Econometric Society, vol. 62(2), pages 467-475, March.
    24. Guido Imbens & Karthik Kalyanaraman, 2012. "Optimal Bandwidth Choice for the Regression Discontinuity Estimator," The Review of Economic Studies, Review of Economic Studies Ltd, vol. 79(3), pages 933-959.
    25. Yingying Dong & Arthur Lewbel, 2015. "Identifying the Effect of Changing the Policy Threshold in Regression Discontinuity Models," The Review of Economics and Statistics, MIT Press, vol. 97(5), pages 1081-1092, December.
    26. Bronwyn H. Hall, 1993. "R&D Tax Policy during the 1980s: Success or Failure?," NBER Chapters, in: Tax Policy and the Economy, Volume 7, pages 1-36, National Bureau of Economic Research, Inc.
    27. Paolo Finaldi Russo & Silvia Magri & Cristiana Rampazzi, 2016. "Innovative Start-Ups in Italy: Their Special Features and the Effects of the 2102 Law," Politica economica, Società editrice il Mulino, issue 2, pages 297-330.
    28. Hall, Bronwyn H. & Lerner, Josh, 2010. "The Financing of R&D and Innovation," Handbook of the Economics of Innovation, in: Bronwyn H. Hall & Nathan Rosenberg (ed.), Handbook of the Economics of Innovation, edition 1, volume 1, chapter 0, pages 609-639, Elsevier.
    29. Russell Thomson, 2017. "The Effectiveness of R&D Tax Credits," The Review of Economics and Statistics, MIT Press, vol. 99(3), pages 544-549, July.
    30. Imbens, Guido W. & Lemieux, Thomas, 2008. "Regression discontinuity designs: A guide to practice," Journal of Econometrics, Elsevier, vol. 142(2), pages 615-635, February.
    31. Bronzini, Raffaello & Piselli, Paolo, 2016. "The impact of R&D subsidies on firm innovation," Research Policy, Elsevier, vol. 45(2), pages 442-457.
    32. Guido de Blasio & Davide Fantino & Guido Pellegrini, 2015. "Evaluating the impact of innovation incentives: evidence from an unexpected shortage of funds," Industrial and Corporate Change, Oxford University Press and the Associazione ICC, vol. 24(6), pages 1285-1314.
    33. Carlo Menon & Timothy DeStefano & Francesco Manaresi & Giovanni Soggia & Pietro Santoleri, 2018. "The evaluation of the Italian “Start-up Act”," OECD Science, Technology and Industry Policy Papers 54, OECD Publishing.
    34. Sebastian Calonico & Matias D. Cattaneo & Max H. Farrell & Roc ́ıo Titiunik, 2017. "rdrobust: Software for regression-discontinuity designs," Stata Journal, StataCorp LP, vol. 17(2), pages 372-404, June.
    35. Zhao Chen & Zhikuo Liu & Juan Carlos Suárez Serrato & Daniel Yi Xu, 2021. "Notching R&D Investment with Corporate Income Tax Cuts in China," American Economic Review, American Economic Association, vol. 111(7), pages 2065-2100, July.
    36. Dominique Guellec & Bruno Van Pottelsberghe De La Potterie, 2003. "The impact of public R&D expenditure on business R&D," Economics of Innovation and New Technology, Taylor & Francis Journals, vol. 12(3), pages 225-243.
    37. Rao, Nirupama, 2016. "Do tax credits stimulate R&D spending? The effect of the R&D tax credit in its first decade," Journal of Public Economics, Elsevier, vol. 140(C), pages 1-12.
    38. McCrary, Justin, 2008. "Manipulation of the running variable in the regression discontinuity design: A density test," Journal of Econometrics, Elsevier, vol. 142(2), pages 698-714, February.
    39. Hall, Bronwyn H., 1993. "R&D Tax Policy During the 1980s: Success of Failure?," Department of Economics, Working Paper Series qt8151h8tg, Department of Economics, Institute for Business and Economic Research, UC Berkeley.
    40. Boschi, Melisso & Girardi, Alessandro & Ventura, Marco, 2014. "Partial credit guarantees and SMEs financing," Journal of Financial Stability, Elsevier, vol. 15(C), pages 182-194.
    41. Ho, Daniel E. & Imai, Kosuke & King, Gary & Stuart, Elizabeth A., 2007. "Matching as Nonparametric Preprocessing for Reducing Model Dependence in Parametric Causal Inference," Political Analysis, Cambridge University Press, vol. 15(3), pages 199-236, July.
    42. King, Gary & Zeng, Langche, 2006. "The Dangers of Extreme Counterfactuals," Political Analysis, Cambridge University Press, vol. 14(2), pages 131-159, April.
    43. Matias D. Cattaneo & Michael Jansson & Xinwei Ma, 2018. "Manipulation testing based on density discontinuity," Stata Journal, StataCorp LP, vol. 18(1), pages 234-261, March.
    44. Hall, Bronwyn & Van Reenen, John, 2000. "How effective are fiscal incentives for R&D? A review of the evidence," Research Policy, Elsevier, vol. 29(4-5), pages 449-469, April.
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    More about this item

    Keywords

    Policy evaluation; regression discontinuity design; incentives to innovations;
    All these keywords.

    JEL classification:

    • C21 - Mathematical and Quantitative Methods - - Single Equation Models; Single Variables - - - Cross-Sectional Models; Spatial Models; Treatment Effect Models
    • H32 - Public Economics - - Fiscal Policies and Behavior of Economic Agents - - - Firm
    • L52 - Industrial Organization - - Regulation and Industrial Policy - - - Industrial Policy; Sectoral Planning Methods
    • O31 - Economic Development, Innovation, Technological Change, and Growth - - Innovation; Research and Development; Technological Change; Intellectual Property Rights - - - Innovation and Invention: Processes and Incentives

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