[go: up one dir, main page]

IDEAS home Printed from https://ideas.repec.org/p/csc/cerisp/201011.html
   My bibliography  Save this paper

Are R&D subsidies provided optimally? Evidence from a simulated agency-firm stochastic dynamic game

Author

Abstract
By means of a simulated funding-agency/supported-firm stochastic dynamic game, this paper firstly shows that not only the level of R&D performed by firms is underprovided (as maintained by traditional literature on the subject), but also the level of the subsidy provided by the funding (public) agency (used to correct exactly for the corporate R&D shortage). This event is due to externalities generated by the agency-firm strategic relationship. Two versions of the model are simulated and compared: one assuming rival behaviors between companies and agency, and one associated to the Social-planner (or cooperative) strategy. Secondly, the paper looks at what “welfare” implications are associated to different degree of funding effect’s persistency. Three main conclusions are drawn: (i) the relative quota of subsidy to R&D is undersized in the rival compared to the Social-planner model; (2) the rivalry strategy generates distortions that favor the agency compared to firms; (3) when passing from less persistent to more persistent R&D additionality/crowding-out effect, the lower the bias the greater the variance is and vice versa. As for the management of R&D funding policies, all the elements favouring greater collaboration between agency and firm objectives can help current R&D support to reach its social optimum.

Suggested Citation

  • Giovanni Cerulli, 2010. "Are R&D subsidies provided optimally? Evidence from a simulated agency-firm stochastic dynamic game," CERIS Working Paper 201011, CNR-IRCrES Research Institute on Sustainable Economic Growth - Torino (TO) ITALY - former Institute for Economic Research on Firms and Growth - Moncalieri (TO) ITALY.
  • Handle: RePEc:csc:cerisp:201011
    as

    Download full text from publisher

    File URL: https://www.byterfly.eu/islandora/object/librib:348215
    Download Restriction: no
    ---><---

    Other versions of this item:

    References listed on IDEAS

    as
    1. Bronwyn Hall, 2004. "The financing of research and development," Chapters, in: Anthony Bartzokas & Sunil Mani (ed.), Financial Systems, Corporate Investment in Innovation, and Venture Capital, chapter 2, Edward Elgar Publishing.
    2. Imbens, G. & Angrist, J.D., 1992. "Average Causal Response with Variable Treatment Intensity," Harvard Institute of Economic Research Working Papers 1611, Harvard - Institute of Economic Research.
    3. A. Filippetti & A. Peyrache, 2010. "The Globalization of Technological Capabilities of Countries: A Dual Approach Using Composite Indicators & Data Envelopment Analysis," CEPA Working Papers Series WP102010, School of Economics, University of Queensland, Australia.
    4. Edwin Mansfield, 1964. "Industrial Research and Development Expenditures: Determinants, Prospects, and Relation to Size of Firm and Inventive Output," Journal of Political Economy, University of Chicago Press, vol. 72(4), pages 319-319.
    5. Archibugi, Daniele & Coco, Alberto, 2005. "Measuring technological capabilities at the country level: A survey and a menu for choice," Research Policy, Elsevier, vol. 34(2), pages 175-194, March.
    6. repec:fth:harver:1473 is not listed on IDEAS
    7. David, Paul A. & Hall, Bronwyn H., 2000. "Heart of Darkness: Modeling Public-Private Funding Interactions Inside the R&D Black Box," Department of Economics, Working Paper Series qt5g29w0xq, Department of Economics, Institute for Business and Economic Research, UC Berkeley.
    8. 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.
    9. Barro, Robert J & Sala-i-Martin, Xavier, 1997. "Technological Diffusion, Convergence, and Growth," Journal of Economic Growth, Springer, vol. 2(1), pages 1-26, March.
    10. David, Paul A. & Hall, Bronwyn H., 2000. "Heart of darkness: modeling public-private funding interactions inside the R&D black box," Research Policy, Elsevier, vol. 29(9), pages 1165-1183, December.
    11. Jeffrey James, 2006. "An Institutional Critique of Recent Attempts to Measure Technological Capabilities across Countries," Journal of Economic Issues, Taylor & Francis Journals, vol. 40(3), pages 743-766, September.
    12. Bianca Potì & Giovanni Cerulli, 2011. "Evaluation of firm R&D and innovation support: new indicators and the ex-ante prediction of ex-post additionality," Research Evaluation, Oxford University Press, vol. 20(1), pages 19-29, March.
    13. Francisco L. Rivera-Batiz & Luis A. Rivera-Batiz, 2018. "International Trade with Endogenous Technological Change," World Scientific Book Chapters, in: Francisco L Rivera-Batiz & Luis A Rivera-Batiz (ed.), International Trade, Capital Flows and Economic Development, chapter 2, pages 33-70, World Scientific Publishing Co. Pte. Ltd..
    14. Zvi Griliches, 1998. "Patent Statistics as Economic Indicators: A Survey," NBER Chapters, in: R&D and Productivity: The Econometric Evidence, pages 287-343, National Bureau of Economic Research, Inc.
    15. Wyplosz, Charles, 1991. "International trade with endogenous technological change : by L.A. Rivera-Batiz and P.M. Romer," European Economic Review, Elsevier, vol. 35(4), pages 1002-1004, May.
    16. Wesley M. Cohen & Richard R. Nelson & John P. Walsh, 2000. "Protecting Their Intellectual Assets: Appropriability Conditions and Why U.S. Manufacturing Firms Patent (or Not)," NBER Working Papers 7552, National Bureau of Economic Research, Inc.
    17. Romer, Paul M, 1990. "Endogenous Technological Change," Journal of Political Economy, University of Chicago Press, vol. 98(5), pages 71-102, October.
    18. Nadiri, M. Ishaq, 1979. "Contributions and Determinants of Research and Development Expenditures in the US Manufacturing Industries," Working Papers 79-16, C.V. Starr Center for Applied Economics, New York University.
    19. James Davidson & Robert de Jong, 1997. "Strong laws of large numbers for dependent heterogeneous processes: a synthesis of recent and new results," Econometric Reviews, Taylor & Francis Journals, vol. 16(3), pages 251-279.
    20. Martin, Stephen & Scott, John T., 2000. "The nature of innovation market failure and the design of public support for private innovation," Research Policy, Elsevier, vol. 29(4-5), pages 437-447, April.
    21. Godin, Benoit, 2007. "Science, accounting and statistics: The input-output framework," Research Policy, Elsevier, vol. 36(9), pages 1388-1403, November.
    22. Valentina Cristiana MATERIA & Roberto ESPOSTI, 2010. "Modelling Agricultural Public R&D Cofinancing Within A Principal-Agent Framework. The case of an Italian region," Working Papers 347, Universita' Politecnica delle Marche (I), Dipartimento di Scienze Economiche e Sociali.
    23. M. Ishaq Nadiri, 1979. "Contributions and Determinants of Research and Development Expenditures in the U.S. Manufacturing Industries," NBER Working Papers 0360, National Bureau of Economic Research, Inc.
    24. Cohen, Wesley M & Levinthal, Daniel A, 1989. "Innovation and Learning: The Two Faces of R&D," Economic Journal, Royal Economic Society, vol. 99(397), pages 569-596, September.
    25. J. D. Howe & D. G. McFetridge, 1976. "The Determinants of R & D Expenditures," Canadian Journal of Economics, Canadian Economics Association, vol. 9(1), pages 57-71, February.
    26. Dasgupta, Partha, 1988. "Patents, Priority and Imitation or, the Economics of Races and Waiting Games," Economic Journal, Royal Economic Society, vol. 98(389), pages 66-80, March.
    27. Giovanni Dosi & Franco Malerba (ed.), 1996. "Organization and Strategy in the Evolution of the Enterprise," Palgrave Macmillan Books, Palgrave Macmillan, number 978-1-349-13389-5, October.
    28. Nathan ROSENBERG, 2009. "Why do firms do basic research (with their own money)?," World Scientific Book Chapters, in: Nathan Rosenberg (ed.), Studies On Science And The Innovation Process Selected Works of Nathan Rosenberg, chapter 11, pages 225-234, World Scientific Publishing Co. Pte. Ltd..
    29. Joshua D. Angrist, 1991. "Instrumental Variables Estimation of Average Treatment Effects in Econometrics and Epidemiology," NBER Technical Working Papers 0115, National Bureau of Economic Research, Inc.
    30. Fagerberg, Jan & Srholec, Martin, 2008. "National innovation systems, capabilities and economic development," Research Policy, Elsevier, vol. 37(9), pages 1417-1435, October.
    31. James, M.J., 2006. "An institutional critique of recent attempts to measure technological capabilities across countries," Other publications TiSEM 05175942-7ecf-410c-9e17-b, Tilburg University, School of Economics and Management.
    32. Wooldridge, Jeffrey M., 1997. "On two stage least squares estimation of the average treatment effect in a random coefficient model," Economics Letters, Elsevier, vol. 56(2), pages 129-133, October.
    33. Malerba, Franco & Orsenigo, Luigi, 1996. "The Dynamics and Evolution of Industries," Industrial and Corporate Change, Oxford University Press and the Associazione ICC, vol. 5(1), pages 51-87.
    34. Peter Howitt, 2000. "Endogenous Growth and Cross-Country Income Differences," American Economic Review, American Economic Association, vol. 90(4), pages 829-846, September.
    35. 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.
    36. Schmookler, Jacob, 1962. "Economic Sources of Inventive Activity," The Journal of Economic History, Cambridge University Press, vol. 22(1), pages 1-20, March.
    37. Benjamin Bental & Dan Peled, 2002. "Quantitative growth effects of subsidies in a search theoretic R&D model," Journal of Evolutionary Economics, Springer, vol. 12(4), pages 397-423.
    38. Daniel Levinthal, 1996. "Learning and Schumpeterian Dynamics," Palgrave Macmillan Books, in: Giovanni Dosi & Franco Malerba (ed.), Organization and Strategy in the Evolution of the Enterprise, chapter 1, pages 27-41, Palgrave Macmillan.
    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. Andrés Rodríguez-Pose & Callum Wilkie, 2016. "Context and the role of policies to attract foreign R&D in Europe," European Planning Studies, Taylor & Francis Journals, vol. 24(11), pages 2014-2035, November.
    2. Giovanni Cerulli & Federico Cecconi & Maria Augusta Miceli & Pierpaolo Angelini & Bianca Potì, 2015. "R&Dsimulab: a micro-policy simulator for an ex-ante assessment of the effect of public R&D policies," EcoMod2015 8631, EcoMod.
    3. Dai, Xiaoyong & Cheng, Liwei, 2015. "The effect of public subsidies on corporate R&D investment: An application of the generalized propensity score," Technological Forecasting and Social Change, Elsevier, vol. 90(PB), pages 410-419.

    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. Giovanni Cerulli, 2010. "A responsiveness-based (composite) indicator with an application to countries’ innovative performance," CERIS Working Paper 201010, CNR-IRCrES Research Institute on Sustainable Economic Growth - Torino (TO) ITALY - former Institute for Economic Research on Firms and Growth - Moncalieri (TO) ITALY.
    2. Cerulli, Giovanni, 2014. "The Impact of Technological Capabilities on Invention: An Investigation Based on Country Responsiveness Scores," World Development, Elsevier, vol. 59(C), pages 147-165.
    3. Cohen, Wesley M., 2010. "Fifty Years of Empirical Studies of Innovative Activity and Performance," 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 129-213, Elsevier.
    4. 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.
    5. Cerulli, Giovanni & De Marchi, Mario, 2012. "R&D And Technological Internationalisation: Evidence From A Random Coefficient Treatment Model," Review of Applied Economics, Lincoln University, Department of Financial and Business Systems, vol. 9(1-2), January.
    6. Nicola Lacetera, 2003. "Incentives and spillovers in R&D activities: an agency-theoretic analysis of industry-university relations," Microeconomics 0312004, University Library of Munich, Germany.
    7. Beck, Mathias & Lopes-Bento, Cindy & Schenker-Wicki, Andrea, 2016. "Radical or incremental: Where does R&D policy hit?," Research Policy, Elsevier, vol. 45(4), pages 869-883.
    8. Giovanni Cerulli, 2008. "Modelling and measuring the effects of public subsidies on business R&D: theoretical and econometric issues," CERIS Working Paper 200803, CNR-IRCrES Research Institute on Sustainable Economic Growth - Torino (TO) ITALY - former Institute for Economic Research on Firms and Growth - Moncalieri (TO) ITALY.
    9. Filippetti, Andrea & Peyrache, Antonio, 2011. "The Patterns of Technological Capabilities of Countries: A Dual Approach using Composite Indicators and Data Envelopment Analysis," World Development, Elsevier, vol. 39(7), pages 1108-1121, July.
    10. Chudnovsky, Daniel & López, Andrés & Rossi, Martín & Ubfal, Diego, 2006. "Evaluating a Program of Public Funding of Private Innovation Activities: An Econometric Study of FONTAR in Argentina," IDB Publications (Working Papers) 2829, Inter-American Development Bank.
    11. Giovanni Cerulli, 2010. "Modelling and Measuring the Effect of Public Subsidies on Business R&D: A Critical Review of the Econometric Literature," The Economic Record, The Economic Society of Australia, vol. 86(274), pages 421-449, September.
    12. Joshua Gans & Scott Stern, 2003. "When does funding research by smaller firms bear fruit?: Evidence from the SBIR program," Economics of Innovation and New Technology, Taylor & Francis Journals, vol. 12(4), pages 361-384.
    13. Ugur, Mehmet & Trushin, Eshref, 2018. "Asymmetric information and heterogeneous effects of R&D subsidies: evidence on R&D investment and employment of R&D personel," Greenwich Papers in Political Economy 21943, University of Greenwich, Greenwich Political Economy Research Centre.
    14. Anja, Breitwieser & Neil, Foster, 2012. "Intellectual property rights, innovation and technology transfer: a survey," MPRA Paper 36094, University Library of Munich, Germany.
    15. Choi, Jin-Uk & Lee, Chang-Yang, 2022. "The differential effects of basic research on firm R&D productivity: The conditioning role of technological diversification," Technovation, Elsevier, vol. 118(C).
    16. Simon Wiederhold, 2012. "The Role of Public Procurement in Innovation: Theory and Empirical Evidence," ifo Beiträge zur Wirtschaftsforschung, ifo Institute - Leibniz Institute for Economic Research at the University of Munich, number 43.
    17. Hottenrott, Hanna & Lopes-Bento, Cindy & Veugelers, Reinhilde, 2017. "Direct and cross scheme effects in a research and development," Research Policy, Elsevier, vol. 46(6), pages 1118-1132.
    18. Simeth, Markus & Raffo, Julio D., 2013. "What makes companies pursue an Open Science strategy?," Research Policy, Elsevier, vol. 42(9), pages 1531-1543.
    19. Özçelik, Emre & Taymaz, Erol, 2008. "R&D support programs in developing countries: The Turkish experience," Research Policy, Elsevier, vol. 37(2), pages 258-275, March.
    20. Heidrun C. Hoppe & Wilhelm Pfähler, 2001. "Ökonomie der Grundlagenforschung und Wissenschaftspolitik," Perspektiven der Wirtschaftspolitik, Verein für Socialpolitik, vol. 2(2), pages 125-144, May.

    More about this item

    Keywords

    R&D subsidies; Rivalry vs. cooperation; Dynamic-stochastic games; Simulations;
    All these keywords.

    JEL classification:

    • O38 - Economic Development, Innovation, Technological Change, and Growth - - Innovation; Research and Development; Technological Change; Intellectual Property Rights - - - Government Policy
    • H2 - Public Economics - - Taxation, Subsidies, and Revenue
    • C73 - Mathematical and Quantitative Methods - - Game Theory and Bargaining Theory - - - Stochastic and Dynamic Games; Evolutionary Games
    • C63 - Mathematical and Quantitative Methods - - Mathematical Methods; Programming Models; Mathematical and Simulation Modeling - - - Computational Techniques

    NEP fields

    This paper has been announced in the following NEP Reports:

    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:csc:cerisp:201011. 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: Anna Perin or Giancarlo Birello (email available below). General contact details of provider: https://edirc.repec.org/data/cerisit.html .

    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.