IDEAS home Printed from https://ideas.repec.org/p/tin/wpaper/20110021.html

How to select Instruments supporting R&D and Innovation by Industry

Author

Listed:
  • Marcel J.L. de Heide

    (Erasmus University Rotterdam)

  • Amit Kothiyal

    (Erasmus University Rotterdam)

Abstract

We present a theoretical framework which allows for the comparison of the effectiveness of tax measures, loans and funding, in supporting industry-oriented research. We estimate for each of the instruments the exact contribution required by a firm to decide on investing in R&D, given the costs and probability of success of the project, and the foreseen change in profit following successful implementation of the research results. We apply Prospect Theory to analyse the risk attitude of the firm. By comparing the contribution required, we identify the instrument which is most effective, and therefore preferred by a government. Our analysis indicates that there exists a critical value for the probability of success of the project for which the modality of the most effective instruments changes. For a probability of success smaller than the critical value, a tax measures offering support only in case of successful completion of the project is preferred. For a probability higher than the critical value, a loan is most effective. The value of the critical probability depends on the perception of risk and loss aversion of the firm involved in the research.

Suggested Citation

  • Marcel J.L. de Heide & Amit Kothiyal, 2011. "How to select Instruments supporting R&D and Innovation by Industry," Tinbergen Institute Discussion Papers 11-021/2, Tinbergen Institute, revised 07 Feb 2011.
  • Handle: RePEc:tin:wpaper:20110021
    as

    Download full text from publisher

    File URL: https://papers.tinbergen.nl/11021.pdf
    Download Restriction: no
    ---><---

    References listed on IDEAS

    as
    1. Daniel Kahneman & Amos Tversky, 2013. "Prospect Theory: An Analysis of Decision Under Risk," World Scientific Book Chapters, in: Leonard C MacLean & William T Ziemba (ed.), HANDBOOK OF THE FUNDAMENTALS OF FINANCIAL DECISION MAKING Part I, chapter 6, pages 99-127, World Scientific Publishing Co. Pte. Ltd..
    2. 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.
    3. Han Bleichrodt & Jose Luis Pinto & Peter P. Wakker, 2001. "Making Descriptive Use of Prospect Theory to Improve the Prescriptive Use of Expected Utility," Management Science, INFORMS, vol. 47(11), pages 1498-1514, November.
    4. Jeroen Hinloopen, 1997. "Subsidizing cooperative and noncooperative R&D in duopoly with spillovers," Journal of Economics, Springer, vol. 66(2), pages 151-175, June.
    5. Jeroen Hinloopen, 2000. "More on subsidizing cooperative and noncooperative R&D in duopoly with spillovers," Journal of Economics, Springer, vol. 72(3), pages 295-308, October.
    6. Eren Inci, 2009. "R&D tax incentives: a reappraisal," International Tax and Public Finance, Springer;International Institute of Public Finance, vol. 16(6), pages 797-821, December.
    7. Richard R. Nelson, 1959. "The Simple Economics of Basic Scientific Research," Journal of Political Economy, University of Chicago Press, vol. 67(3), pages 297-297.
    Full references (including those not matched with items on IDEAS)

    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. Besanko, David & Tong, Jian & Wu, Jianjun, 2016. "Subsidizing research programs with "if" and "when" uncertainty in the face of severe informational constraints," Discussion Paper Series In Economics And Econometrics 1605, Economics Division, School of Social Sciences, University of Southampton.
    2. Marie-Laure Cabon-Dhersin & Romain Gibert, 2017. "Cooperation or non-cooperation in R&D: how should research be funded? ," Working Papers hal-01587014, HAL.
    3. Marie-Laure Cabon-Dhersin & Romain Gibert, 2018. "Cooperation or non-cooperation in R&D: how should research be funded?," Post-Print hal-02006515, HAL.
    4. Hinloopen, Jeroen, 2000. "Strategic R&D Co-operatives," Research in Economics, Elsevier, vol. 54(2), pages 153-185, June.
    5. Marie‐Laure Cabon‐Dhersin & Romain Gibert, 2020. "R&D cooperation, proximity and distribution of public funding between public and private research sectors," Manchester School, University of Manchester, vol. 88(6), pages 773-800, December.
    6. Jeon, Haejun, 2019. "Patent protection and R&D subsidy under asymmetric information," International Review of Economics & Finance, Elsevier, vol. 62(C), pages 332-354.
    7. Chen, Kehong & Fan, Yiming, 2025. "Selection of R&D techniques: The influence of spillover effects and government subsidies," Transportation Research Part E: Logistics and Transportation Review, Elsevier, vol. 194(C).
    8. Oliver Falck & Anita Fichtl & Tobias Lohse & Friederike Welter & Heike Belitz & Cedric von der Hellen & Carsten Dreher & Carsten Schwäbe & Dietmar Harhoff & Monika Schnitzer & Uschi Backes-Gellner & C, 2019. "Steuerliche Forschungsförderung: Wichtiger Impuls für FuE-Aktivitäten oder zu wenig zielgerichtet?," ifo Schnelldienst, ifo Institute - Leibniz Institute for Economic Research at the University of Munich, vol. 72(09), pages 03-25, May.
    9. Peter Grajzl & Stjepan Srhoj & Jaka Cepec & Barbara Mörec, 2024. "A by-product of big government: the attenuating role of public procurement for the effectiveness of grants-based entrepreneurship policy," Small Business Economics, Springer, vol. 62(3), pages 895-916, March.
    10. Matthias Firgo & Peter Mayerhofer, 2015. "Wissens-Spillovers und regionale Entwicklung - welche strukturpolitische Ausrichtung optimiert des Wachstum?," Working Paper Reihe der AK Wien - Materialien zu Wirtschaft und Gesellschaft 144, Kammer für Arbeiter und Angestellte für Wien, Abteilung Wirtschaftswissenschaft und Statistik.
    11. Beatriz Pereira Almeida & Eduardo Gonçalves & André Suriane Silva & Raquel Coelho Reis, 2021. "Internalization of knowledge spillovers by regions: a measure based on self-citation patents," The Annals of Regional Science, Springer;Western Regional Science Association, vol. 66(2), pages 309-330, April.
    12. Antonelli, Cristiano, 2017. "Digital knowledge generation and the appropriability trade-off," Telecommunications Policy, Elsevier, vol. 41(10), pages 991-1002.
    13. Borsato, Andrea & Lorentz, André, 2025. "Public science vs. mission-oriented policies in long-run growth: An agent-based model," Structural Change and Economic Dynamics, Elsevier, vol. 74(C), pages 129-146.
    14. D’Orazio, Paola & Valente, Marco, 2019. "The role of finance in environmental innovation diffusion: An evolutionary modeling approach," Journal of Economic Behavior & Organization, Elsevier, vol. 162(C), pages 417-439.
    15. Motchenkova, E.I. & Rus, O., 2011. "Research joint ventures and price collusion: Joint analysis of the impact of R&D subsidies and antitrust fines," Serie Research Memoranda 0025, VU University Amsterdam, Faculty of Economics, Business Administration and Econometrics.
    16. Buccella, Domenico & Fanti, Luciano & Gori, Luca, 2021. "A contribution to the theory of R&D investments," GLO Discussion Paper Series 940, Global Labor Organization (GLO).
    17. Penin, Julien, 2005. "Patents versus ex post rewards: A new look," Research Policy, Elsevier, vol. 34(5), pages 641-656, June.
    18. Paul A. David, 2005. "The Economic Logic of “Open Science” and the Balance between Private Property Rights and the Public Domain in Scientific Data and," Development and Comp Systems 0502006, University Library of Munich, Germany.
    19. José Miguel Benavente & Gustavo Crespi & Alessandro Maffioli, 2007. "The Impact of National Research Funds: An Evaluation of the Chilean FONDECYT," OVE Working Papers 0307, Inter-American Development Bank, Office of Evaluation and Oversight (OVE).
    20. Tsoukias, Alexis, 2008. "From decision theory to decision aiding methodology," European Journal of Operational Research, Elsevier, vol. 187(1), pages 138-161, May.

    More about this item

    Keywords

    ;
    ;
    ;
    ;

    JEL classification:

    • D04 - Microeconomics - - General - - - Microeconomic Policy: Formulation; Implementation; Evaluation
    • D81 - Microeconomics - - Information, Knowledge, and Uncertainty - - - Criteria for Decision-Making under Risk and Uncertainty
    • O38 - Economic Development, Innovation, Technological Change, and Growth - - Innovation; Research and Development; Technological Change; Intellectual Property Rights - - - Government Policy

    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:tin:wpaper:20110021. 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: Tinbergen Office +31 (0)10-4088900 (email available below). General contact details of provider: https://edirc.repec.org/data/tinbenl.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.