IDEAS home Printed from https://ideas.repec.org/a/eee/ecmode/v120y2023ics0264999322004151.html
   My bibliography  Save this article

The short-run effects of public incentives for innovation in Italy

Author

Listed:
  • Mellace, Giovanni
  • Ventura, Marco

Abstract

Investing in innovation is considered as a crucial step for economic growth of a country; yet there is little consensus in the literature on the short-run effectiveness of tax benefits for innovative firms. For this reason, this study evaluates an Italian public program introduced in 2012 aimed at fostering young innovative firms. A discontinuity in the eligibility rules generates a quasi-experimental design, which allows us to estimate the causal effects of the policy. The results show an increase in the number of partners, and therefore generation of new investors, but no significant effects on firms' share of intangible assets, turnover, or number of employees. These developments are driven by a generous tax benefit offered by the policy to investors with no strict requirements. We conclude that a policy that links tax cuts to actual investments in innovation is necessary to achieve the policy maker's target.

Suggested Citation

  • Mellace, Giovanni & Ventura, Marco, 2023. "The short-run effects of public incentives for innovation in Italy," Economic Modelling, Elsevier, vol. 120(C).
  • Handle: RePEc:eee:ecmode:v:120:y:2023:i:c:s0264999322004151
    DOI: 10.1016/j.econmod.2022.106178
    as

    Download full text from publisher

    File URL: http://www.sciencedirect.com/science/article/pii/S0264999322004151
    Download Restriction: Full text for ScienceDirect subscribers only

    File URL: https://libkey.io/10.1016/j.econmod.2022.106178?utm_source=ideas
    LibKey link: if access is restricted and if your library uses this service, LibKey will redirect you to where you can use your library subscription to access this item
    ---><---

    As the access to this document is restricted, you may want to search for a different version of it.

    References listed on IDEAS

    as
    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. Bournakis, Ioannis & Mallick, Sushanta, 2021. "Do Corporate Taxes Harm Economic Performance? Explaining Distortions In R&D- And Export-Intensive Uk Firms," Macroeconomic Dynamics, Cambridge University Press, vol. 25(1), pages 5-27, January.
    5. 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.
    6. Tang, Meili & Wang, Yu, 2022. "Tax incentives and corporate social responsibility: The role of cash savings from accelerated depreciation policy," Economic Modelling, Elsevier, vol. 116(C).
    7. 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.
    8. 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.
    9. 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.
    10. 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.
    11. 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.
    12. 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.
    13. 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.
    14. 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.
    15. 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.
    16. 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.
    17. 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.
    18. 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.
    19. R. Glenn Hubbard, 1998. "Capital-Market Imperfections and Investment," Journal of Economic Literature, American Economic Association, vol. 36(1), pages 193-225, March.
    20. 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.
    21. 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.
    22. Irem Guceri & Li Liu, 2019. "Effectiveness of Fiscal Incentives for R&D: Quasi-experimental Evidence," American Economic Journal: Economic Policy, American Economic Association, vol. 11(1), pages 266-291, February.
    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. Tiago Neves Sequeira & Pedro Cunha Neves, 2020. "Stepping on toes in the production of knowledge: a meta-regression analysis," Applied Economics, Taylor & Francis Journals, vol. 52(3), pages 260-274, January.
    25. 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.
    26. 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.
    27. Neves, Pedro Cunha & Afonso, Oscar & Silva, Diana & Sochirca, Elena, 2021. "The link between intellectual property rights, innovation, and growth: A meta-analysis," Economic Modelling, Elsevier, vol. 97(C), pages 196-209.
    28. 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.
    29. 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.
    30. 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.
    31. Christian Keuschnigg & Evelyn Ribi, 2013. "Profit taxes and financing constraints," International Tax and Public Finance, Springer;International Institute of Public Finance, vol. 20(5), pages 808-826, October.
    32. Imbens, Guido W. & Lemieux, Thomas, 2008. "Regression discontinuity designs: A guide to practice," Journal of Econometrics, Elsevier, vol. 142(2), pages 615-635, February.
    33. 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).
    34. Salvatore Zecchini & Marco Ventura, 2009. "The impact of public guarantees on credit to SMEs," Small Business Economics, Springer, vol. 32(2), pages 191-206, February.
    35. 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, vol. 24(6), pages 1285-1314.
    36. Angus C. Chu & Yuichi Furukawa & Sushanta Mallick & Pietro Peretto & Xilin Wang, 2021. "Dynamic effects of patent policy on innovation and inequality in a Schumpeterian economy," Economic Theory, Springer;Society for the Advancement of Economic Theory (SAET), vol. 71(4), pages 1429-1465, June.
    37. 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.
    38. 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.
    39. 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.
    40. 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.
    41. King, Gary & Zeng, Langche, 2006. "The Dangers of Extreme Counterfactuals," Political Analysis, Cambridge University Press, vol. 14(2), pages 131-159, April.
    42. 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.
    43. 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.
    Full references (including those not matched with items on IDEAS)

    Citations

    Citations are extracted by the CitEc Project, subscribe to its RSS feed for this item.
    as


    Cited by:

    1. He, Siyi & Liu, Jinsong & Ying, Qianwei, 2023. "Externalities of government-oriented support for innovation: Evidence from the national innovative city pilot policy in China," Economic Modelling, Elsevier, vol. 128(C).

    Most related items

    These are the items that most often cite the same works as this one and are cited by the same works as this one.
    1. 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.
    2. Knoll, Bodo & Riedel, Nadine & Schwab, Thomas & Todtenhaupt, Maximilian & Voget, Johannes, 2021. "Cross-border effects of R&D tax incentives," Research Policy, Elsevier, vol. 50(9).
    3. Blaise Melly & Rafael Lalive, 2020. "Estimation, Inference, and Interpretation in the Regression Discontinuity Design," Diskussionsschriften dp2016, Universitaet Bern, Departement Volkswirtschaft.
    4. Pietro Santoleri & Andrea Mina & Alberto Di Minin & Irene Martelli, 2020. "The causal effects of R&D grants: evidence from a regression discontinuity," LEM Papers Series 2020/18, Laboratory of Economics and Management (LEM), Sant'Anna School of Advanced Studies, Pisa, Italy.
    5. Dechezlepretre, Antoine & Einiö, Elias & Martin, Ralf & Nguyen, Kieu-Trang & Reenen, John Van, 2016. "Do tax incentives for research increase firm innovation? An RD design for R&D, patents and spillovers," LSE Research Online Documents on Economics 66428, London School of Economics and Political Science, LSE Library.
    6. Schwab, Thomas & Todtenhaupt, Maximilian, 2021. "Thinking outside the box: The cross-border effect of tax cuts on R&D," Journal of Public Economics, Elsevier, vol. 204(C).
    7. Antoine Dechezlepretre & Elias Einio & Ralf Martin & Kieu-Trang Nguyen & John Van Reenen, 2016. "Do tax incentives for research increase firm innovation? An RD design for R&D," GRI Working Papers 230, Grantham Research Institute on Climate Change and the Environment.
    8. Bettina Becker, 2013. "The Determinants of R&D Investment: A Survey of the Empirical Research," Discussion Paper Series 2013_09, Department of Economics, Loughborough University, revised Sep 2013.
    9. Burgherr, David, 2022. "Behavioral Responses to a Pension Savings Mandate : Quasi-experimental Evidence from Swiss Tax Data," CAGE Online Working Paper Series 645, Competitive Advantage in the Global Economy (CAGE).
    10. Crespo Cristian, 2020. "Beyond Manipulation: Administrative Sorting in Regression Discontinuity Designs," Journal of Causal Inference, De Gruyter, vol. 8(1), pages 164-181, January.
    11. İrem Güçeri & Marko Köthenbürger & Martin Simmler, 2020. "Supporting Firm Innovation and R&D: What is the Optimal Policy Mix?," EconPol Policy Reports 20, ifo Institute - Leibniz Institute for Economic Research at the University of Munich.
    12. Yoichi Arai & Yu‐Chin Hsu & Toru Kitagawa & Ismael Mourifié & Yuanyuan Wan, 2022. "Testing identifying assumptions in fuzzy regression discontinuity designs," Quantitative Economics, Econometric Society, vol. 13(1), pages 1-28, January.
    13. Fang, Hongsheng & Su, Yunqing & Lu, Weijun, 2022. "Tax incentive and corporate financial performance: Evidence from income tax revenue sharing reform in China," Journal of Asian Economics, Elsevier, vol. 81(C).
    14. Crespo Cristian, 2020. "Beyond Manipulation: Administrative Sorting in Regression Discontinuity Designs," Journal of Causal Inference, De Gruyter, vol. 8(1), pages 164-181, January.
    15. Onda, Masayuki & Seyler, Edward, 2020. "English learners reclassification and academic achievement: Evidence from Minnesota," Economics of Education Review, Elsevier, vol. 79(C).
    16. Jean Acheson & Rory Malone, 2020. "Respect Your Elders: Evidence from Ireland’s R&D Tax Credit Reform," The Economic and Social Review, Economic and Social Studies, vol. 51(1), pages 105-131.
    17. Lichter, Andreas & Löffler, Max & Isphording, Ingo Eduard & Nguyen, Thu-Van & Poege, Felix & Siegloch, Sebastian, 2021. "Profit taxation, R&D spending, and innovation," ZEW Discussion Papers 21-080, ZEW - Leibniz Centre for European Economic Research.
    18. Yang He & Otávio Bartalotti, 2020. "Wild bootstrap for fuzzy regression discontinuity designs: obtaining robust bias-corrected confidence intervals [Using Maimonides’ rule to estimate the effect of class size on scholastic achievemen," The Econometrics Journal, Royal Economic Society, vol. 23(2), pages 211-231.
    19. Mauricio Villamizar‐Villegas & Freddy A. Pinzon‐Puerto & Maria Alejandra Ruiz‐Sanchez, 2022. "A comprehensive history of regression discontinuity designs: An empirical survey of the last 60 years," Journal of Economic Surveys, Wiley Blackwell, vol. 36(4), pages 1130-1178, September.
    20. Jin-young Choi & Myoung-jae Lee, 2017. "Regression discontinuity: review with extensions," Statistical Papers, Springer, vol. 58(4), pages 1217-1246, December.

    More about this item

    Keywords

    Policy evaluation; Regression discontinuity design; Incentives for innovation;
    All these keywords.

    JEL classification:

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

    Statistics

    Access and download statistics

    Corrections

    All material on this site has been provided by the respective publishers and authors. You can help correct errors and omissions. When requesting a correction, please mention this item's handle: RePEc:eee:ecmode:v:120:y:2023:i:c:s0264999322004151. See general information about how to correct material in RePEc.

    If you have authored this item and are not yet registered with RePEc, we encourage you to do it here. This allows to link your profile to this item. It also allows you to accept potential citations to this item that we are uncertain about.

    If CitEc recognized a bibliographic reference but did not link an item in RePEc to it, you can help with this form .

    If you know of missing items citing this one, you can help us creating those links by adding the relevant references in the same way as above, for each refering item. If you are a registered author of this item, you may also want to check the "citations" tab in your RePEc Author Service profile, as there may be some citations waiting for confirmation.

    For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: Catherine Liu (email available below). General contact details of provider: http://www.elsevier.com/locate/inca/30411 .

    Please note that corrections may take a couple of weeks to filter through the various RePEc services.

    IDEAS is a RePEc service. RePEc uses bibliographic data supplied by the respective publishers.