IDEAS home Printed from https://ideas.repec.org/p/jrp/jrpwrp/2014-028.html
   My bibliography  Save this paper

Taxation and incentives to innovate: a principal-agent approach

Author

Listed:
  • Diego d'Andria

    () (Friedrich Schiller University of Jena, DFG Research Training Group "The Economics of Innovative Change")

Abstract

A principal-agent multitasking model is used to explore the effects of different tax schemes on innovation in a pure knowledge economy. Corporate taxes and labor income taxes can affect both the firm owner's and the employee's incentives to commit to innovative tasks, when the former compensates the latter (a manager, technical or R&D employee) by means of variable pay tied to measures of the company's success. Results point to a complementary role between "patent box" tax incentives and reductions in the tax rate levied on profit sharing schemes. This complementarity holds, albeit with different relative importance for the two tax incentives, also with non-deductible labor costs, with a stochastic innovation value coupled with a risk-averse agent, and with multiple principals competing for talented agents.

Suggested Citation

  • Diego d'Andria, 2014. "Taxation and incentives to innovate: a principal-agent approach," Jena Economic Research Papers 2014-028, Friedrich-Schiller-University Jena.
  • Handle: RePEc:jrp:jrpwrp:2014-028
    as

    Download full text from publisher

    File URL: http://pubdb.wiwi.uni-jena.de/pdf/wp_2014_028.pdf
    Download Restriction: no

    Other versions of this item:

    References listed on IDEAS

    as
    1. Holmstrom, Bengt, 1989. "Agency costs and innovation," Journal of Economic Behavior & Organization, Elsevier, vol. 12(3), pages 305-327, December.
    2. Patrick Bolton & Mathias Dewatripont, 2005. "Contract Theory," MIT Press Books, The MIT Press, edition 1, volume 1, number 0262025760, January.
    3. Florian Ederer & Gustavo Manso, 2013. "Is Pay for Performance Detrimental to Innovation?," Management Science, INFORMS, vol. 59(7), pages 1496-1513, July.
    4. Pierre Azoulay & Joshua S. Graff Zivin & Gustavo Manso, 2011. "Incentives and creativity: evidence from the academic life sciences," RAND Journal of Economics, RAND Corporation, vol. 42(3), pages 527-554, September.
    5. Holmstrom, Bengt & Milgrom, Paul, 1991. "Multitask Principal-Agent Analyses: Incentive Contracts, Asset Ownership, and Job Design," Journal of Law, Economics, and Organization, Oxford University Press, vol. 7(0), pages 24-52, Special I.
    6. Thomas Hellmann & Veikko Thiele, 2011. "Incentives and Innovation: A Multitasking Approach," American Economic Journal: Microeconomics, American Economic Association, vol. 3(1), pages 78-128, February.
    7. Lisa Evers & Helen Miller & Christoph Spengel, 2015. "Intellectual property box regimes: effective tax rates and tax policy considerations," International Tax and Public Finance, Springer;International Institute of Public Finance, vol. 22(3), pages 502-530, June.
    8. Francis, Bill & Hasan, Iftekhar & Sharma, Zenu, 2011. "Incentives and innovation : evidence from CEO compensation contracts," Research Discussion Papers 17/2011, Bank of Finland.
    9. repec:mhr:jinste:urn:sici:0932-4569(201612)172:4_645:wtebcf_2.0.tx_2-c is not listed on IDEAS
    10. Holmström, Bengt, 1989. "Agency Costs and Innovation," Working Paper Series 214, Research Institute of Industrial Economics.
    11. Doina Radulescu, 2012. "The Effects of a Bonus Tax on Manager Compensation and Welfare," FinanzArchiv: Public Finance Analysis, Mohr Siebeck, Tübingen, vol. 68(1), pages 1-16, March.
    12. Martin Grossmann & Markus Lang & Helmut Dietl, 2016. "Why Taxing Executives' Bonuses Can Foster Risk-Taking Behavior," Journal of Institutional and Theoretical Economics (JITE), Mohr Siebeck, Tübingen, vol. 172(4), pages 645-664, December.
    Full references (including those not matched with items on IDEAS)

    More about this item

    Keywords

    tax incentives for R&D; patent box; principal-agent models; multitasking models; profit sharing schemes; incentives to innovate;

    JEL classification:

    • H2 - Public Economics - - Taxation, Subsidies, and Revenue
    • O31 - Economic Development, Innovation, Technological Change, and Growth - - Innovation; Research and Development; Technological Change; Intellectual Property Rights - - - Innovation and Invention: Processes and Incentives
    • J33 - Labor and Demographic Economics - - Wages, Compensation, and Labor Costs - - - Compensation Packages; Payment Methods

    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:jrp:jrpwrp:2014-028. See general information about how to correct material in RePEc.

    For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: (Markus Pasche). General contact details of provider: http://www.jenecon.de .

    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 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.

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

    IDEAS is a RePEc service hosted by the Research Division of the Federal Reserve Bank of St. Louis . RePEc uses bibliographic data supplied by the respective publishers.