IDEAS home Printed from https://ideas.repec.org/h/nbr/nberch/12378.html
   My bibliography  Save this book chapter

Why Is It So Difficult to Translate Innovation Economics into Useful and Applicable Policy Prescriptions?

In: The Rate and Direction of Inventive Activity Revisited

Author

Listed:
  • Dominique Foray

Abstract

No abstract is available for this item.

Suggested Citation

  • Dominique Foray, 2011. "Why Is It So Difficult to Translate Innovation Economics into Useful and Applicable Policy Prescriptions?," NBER Chapters, in: The Rate and Direction of Inventive Activity Revisited, pages 673-678, National Bureau of Economic Research, Inc.
  • Handle: RePEc:nbr:nberch:12378
    as

    Download full text from publisher

    File URL: http://www.nber.org/chapters/c12378.pdf
    Download Restriction: no
    ---><---

    References listed on IDEAS

    as
    1. Aghion, Philippe & David, Paul A. & Foray, Dominique, 2009. "Science, technology and innovation for economic growth: Linking policy research and practice in 'STIG Systems'," Research Policy, Elsevier, vol. 38(4), pages 681-693, May.
    2. Tor Jakob Klette & Jarle Møen, 1999. "From Growth Theory to Technology Policy - Coordination Problems in Theory and Practice," Nordic Journal of Political Economy, Nordic Journal of Political Economy, vol. 25, pages 53-74.
    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. Jarle Moen, 2005. "Is Mobility of Technical Personnel a Source of R&D Spillovers?," Journal of Labor Economics, University of Chicago Press, vol. 23(1), pages 81-114, January.
    2. 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.
    3. Yuhan Zhao & Xuguang Song, 2018. "How Should the Chinese Government Invest R&D Funds: Enterprises or Institutions?," Computational Economics, Springer;Society for Computational Economics, vol. 52(4), pages 1089-1112, December.
    4. Øivind Anti Nilsen & Arvid Raknerud, 2022. "Dynamics of First-Time Patenting Firms," CESifo Working Paper Series 9927, CESifo.
    5. Jarle Møen, 2004. "When subsidized R&D-firms fail, do they still stimulate growth? Tracing knowledge by following employees across firms," Discussion Papers 399, Statistics Norway, Research Department.
    6. Leendertse, Jip & Schrijvers, Mirella & Stam, Erik, 2022. "Measure Twice, Cut Once: Entrepreneurial Ecosystem Metrics," Research Policy, Elsevier, vol. 51(9).
    7. Jussi Heikkilä & Timo Ali-Vehmas & Julius Rissanen, 2021. "The Link Between Standardization and Economic Growth: A Bibliometric Analysis," International Journal of Standardization Research (IJSR), IGI Global, vol. 19(1), pages 1-25, January.
    8. Magnus Henrekson & Dan Johansson & Johan Karlsson, 2024. "To Be or Not to Be: The Entrepreneur in Neo-Schumpeterian Growth Theory," Entrepreneurship Theory and Practice, , vol. 48(1), pages 104-140, January.
    9. Anadón, Laura Díaz, 2012. "Missions-oriented RD&D institutions in energy between 2000 and 2010: A comparative analysis of China, the United Kingdom, and the United States," Research Policy, Elsevier, vol. 41(10), pages 1742-1756.
    10. Wydra, Sven, 2015. "Challenges for technology diffusion policy to achieve socio-economic goals," Technology in Society, Elsevier, vol. 41(C), pages 76-90.
    11. Consoli, Davide & Marin, Giovanni & Marzucchi, Alberto & Vona, Francesco, 2016. "Do green jobs differ from non-green jobs in terms of skills and human capital?," Research Policy, Elsevier, vol. 45(5), pages 1046-1060.
    12. Luis Aguiar & Philippe Gagnepain, 2011. "European Cooperative R&D And Firm Performance," Working Papers hal-00622969, HAL.
    13. Almas Heshmati & Subal C. Kumbhakar, 2014. "A general model of technical change with an application to the OECD countries," Economics of Innovation and New Technology, Taylor & Francis Journals, vol. 23(1), pages 25-48, January.
    14. Zaggl, Michael A., 2017. "Manipulation of explicit reputation in innovation and knowledge exchange communities: The example of referencing in science," Research Policy, Elsevier, vol. 46(5), pages 970-983.
    15. Lööf, Hans & Heshmati, Almas, 2004. "The Impact of Public Funding on Private R&D investment: New Evidence from a Firm Level Innovation Study," Working Paper Series in Economics and Institutions of Innovation 6, Royal Institute of Technology, CESIS - Centre of Excellence for Science and Innovation Studies, revised 01 Mar 2005.
    16. Christiaan Hogendorn & Brett Frischmann, 2017. "Infrastructure and General Purpose Technologies: A Technology Flow Framework," Wesleyan Economics Working Papers 2017-001, Wesleyan University, Department of Economics.
    17. Flanagan, Kieron & Uyarra, Elvira & Laranja, Manuel, 2010. "The ‘policy mix’ for innovation: rethinking innovation policy in a multi-level, multi-actor context," MPRA Paper 23567, University Library of Munich, Germany.
    18. Joel Klinger & Juan Mateos-Garcia & Konstantinos Stathoulopoulos, 2021. "Deep learning, deep change? Mapping the evolution and geography of a general purpose technology," Scientometrics, Springer;Akadémiai Kiadó, vol. 126(7), pages 5589-5621, July.
    19. Liliana Gelabert & Martín Pereyra & Flavia Roldán, 2021. "Public support prevalence and innovation behavior. Uruguay 2007-2015," Documentos de Investigación 127, Universidad ORT Uruguay. Facultad de Administración y Ciencias Sociales.
    20. Cristiano, Antonelli & Ferraris, Gianluigi, 2009. "Innovation as an Emerging System Property: an Agent Based Model," Department of Economics and Statistics Cognetti de Martiis LEI & BRICK - Laboratory of Economics of Innovation "Franco Momigliano", Bureau of Research in Innovation, Complexity and Knowledge, Collegio 200911, University of Turin.

    More about this item

    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:nbr:nberch:12378. 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: the person in charge (email available below). General contact details of provider: https://edirc.repec.org/data/nberrus.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.