IDEAS home Printed from https://ideas.repec.org/a/eee/respol/v35y2006i9p1261-1272.html
   My bibliography  Save this article

How to allocate R&D (and other) subsidies: An experimentally tested policy recommendation

Author

Listed:
  • Giebe, Thomas
  • Grebe, Tim
  • Wolfstetter, Elmar

Abstract

This paper evaluates how R&D subsidies to the business sector are typically awarded. We identify two sources of ine_ciency: the selection based on a ranking of individual projects, rather than complete allocations, and the failure to induce competition among applicants in order to extract and use information about the necessary funding. In order to correct these ine_- ciencies we propose mechanisms that include some form of an auction in which applicants bid for subsidies. Our proposals are tested in a simulation and in controlled lab experiments. The results suggest that adopting our proposals may considerably improve the allocation.
(This abstract was borrowed from another version of this item.)

Suggested Citation

  • Giebe, Thomas & Grebe, Tim & Wolfstetter, Elmar, 2006. "How to allocate R&D (and other) subsidies: An experimentally tested policy recommendation," Research Policy, Elsevier, vol. 35(9), pages 1261-1272, November.
  • Handle: RePEc:eee:respol:v:35:y:2006:i:9:p:1261-1272
    as

    Download full text from publisher

    File URL: http://www.sciencedirect.com/science/article/pii/S0048-7333(06)00120-X
    Download Restriction: Full text for ScienceDirect subscribers only
    ---><---

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

    Other versions of this item:

    References listed on IDEAS

    as
    1. Markus Groth, 2005. "Auctions in an outcome-based payment scheme to reward ecological services in agriculture – Conception, implementation and results," ERSA conference papers ersa05p180, European Regional Science Association.
    2. Eickelpasch, Alexander & Fritsch, Michael, 2005. "Contests for cooperation--A new approach in German innovation policy," Research Policy, Elsevier, vol. 34(8), pages 1269-1282, October.
    3. Jean-Pierre Benoît & Vijay Krishna, 2001. "Multiple-Object Auctions with Budget Constrained Bidders," The Review of Economic Studies, Review of Economic Studies Ltd, vol. 68(1), pages 155-179.
    4. Yeon-Koo Che & Ian Gale, 1998. "Standard Auctions with Financially Constrained Bidders," The Review of Economic Studies, Review of Economic Studies Ltd, vol. 65(1), pages 1-21.
    5. Manuel Trajtenberg, 2002. "Government Support for Commercial R&D: Lessons from the Israeli Experience," NBER Chapters, in: Innovation Policy and the Economy, Volume 2, pages 79-134, National Bureau of Economic Research, Inc.
    6. Urs Fischbacher, 2007. "z-Tree: Zurich toolbox for ready-made economic experiments," Experimental Economics, Springer;Economic Science Association, vol. 10(2), pages 171-178, June.
    7. Giebe, Thomas & Grebe, Tim & Wolfstetter, Elmar, 2006. "How to allocate R&D (and other) subsidies: An experimentally tested policy recommendation," Research Policy, Elsevier, vol. 35(9), pages 1261-1272, November.
    8. 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.
    9. Laffont, Jean-Jacques & Robert, Jacques, 1996. "Optimal auction with financially constrained buyers," Economics Letters, Elsevier, vol. 52(2), pages 181-186, August.
    10. Dirk Czarnitzki & Georg Licht, 2006. "Additionality of public R&D grants in a transition economy," The Economics of Transition, The European Bank for Reconstruction and Development, vol. 14(1), pages 101-131, March.
    11. José García‐Quevedo, 2004. "Do Public Subsidies Complement Business R&D? A Meta‐Analysis of the Econometric Evidence," Kyklos, Wiley Blackwell, vol. 57(1), pages 87-102, February.
    12. Czarnitzki, Dirk & Fier, Andreas, 2001. "Do R&D subsidies matter? Evidence for the German service sector," ZEW Discussion Papers 01-19, ZEW - Leibniz Centre for European Economic Research.
    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. Gerard van der Laan & Zaifu Yang, 2016. "An ascending multi-item auction with financially constrained bidders," The Journal of Mechanism and Institution Design, Society for the Promotion of Mechanism and Institution Design, University of York, vol. 1(1), pages 109-149, December.
    2. Burkett, Justin, 2016. "Optimally constraining a bidder using a simple budget," Theoretical Economics, Econometric Society, vol. 11(1), January.
    3. Burkett, Justin, 2015. "Endogenous budget constraints in auctions," Journal of Economic Theory, Elsevier, vol. 158(PA), pages 1-20.
    4. Ulrich Bergmann & Arkady Konovalov, 2024. "Auction design and order of sale with budget-constrained bidders," Experimental Economics, Springer;Economic Science Association, vol. 27(1), pages 36-57, March.
    5. Dobzinski, Shahar & Lavi, Ron & Nisan, Noam, 2012. "Multi-unit auctions with budget limits," Games and Economic Behavior, Elsevier, vol. 74(2), pages 486-503.
    6. Marino, Marianna & Lhuillery, Stephane & Parrotta, Pierpaolo & Sala, Davide, 2016. "Additionality or crowding-out? An overall evaluation of public R&D subsidy on private R&D expenditure," Research Policy, Elsevier, vol. 45(9), pages 1715-1730.
    7. Hafalir, Isa E. & Ravi, R. & Sayedi, Amin, 2012. "A near Pareto optimal auction with budget constraints," Games and Economic Behavior, Elsevier, vol. 74(2), pages 699-708.
    8. Pai, Mallesh M. & Vohra, Rakesh, 2014. "Optimal auctions with financially constrained buyers," Journal of Economic Theory, Elsevier, vol. 150(C), pages 383-425.
    9. 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.
    10. Carbajal, Juan Carlos & Mu'alem, Ahuva, 2020. "Selling mechanisms for a financially constrained buyer," Games and Economic Behavior, Elsevier, vol. 124(C), pages 386-405.
    11. Santiago R. Balseiro & Omar Besbes & Gabriel Y. Weintraub, 2019. "Dynamic Mechanism Design with Budget-Constrained Buyers Under Limited Commitment," Operations Research, INFORMS, vol. 67(3), pages 711-730, May.
    12. Zaifu Yang & Jingsheng Yu, 2018. "Efficient Ascending Menu Auctions with Budget Constrained Bidders," Discussion Papers 18/09, Department of Economics, University of York.
    13. Anat Lerner & Rica Gonen, 2014. "Characterizing the Incentive Compatible and Pareto Optimal Efficiency Space for Two Players, k Items, Public Budget and Quasilinear Utilities," Games, MDPI, vol. 5(2), pages 1-19, April.
    14. Hummel, Patrick, 2017. "Endogenous budget constraints," Mathematical Social Sciences, Elsevier, vol. 88(C), pages 11-15.
    15. Bobkova, Nina, 2020. "Asymmetric budget constraints in a first-price auction," Journal of Economic Theory, Elsevier, vol. 186(C).
    16. Beck, Mathias & Junge, Martin & Kaiser, Ulrich, 2017. "Public Funding and Corporate Innovation," IZA Discussion Papers 11196, Institute of Labor Economics (IZA).
    17. Fay, Marianne & Martimort, David & Straub, Stéphane, 2021. "Funding and financing infrastructure: The joint-use of public and private finance," Journal of Development Economics, Elsevier, vol. 150(C).
    18. Zhonghao Shui, 2023. "Rejection prices and an auctioneer with non-monotonic utility," International Journal of Game Theory, Springer;Game Theory Society, vol. 52(3), pages 925-951, September.
    19. A. Talman & Zaifu Yang, 2015. "An efficient multi-item dynamic auction with budget constrained bidders," International Journal of Game Theory, Springer;Game Theory Society, vol. 44(3), pages 769-784, August.
    20. Brusco, Sandro & Lopomo, Giuseppe & Marx, Leslie M., 2009. "The [`]Google effect' in the FCC's 700Â MHz auction," Information Economics and Policy, Elsevier, vol. 21(2), pages 101-114, June.

    More about this item

    JEL classification:

    • D44 - Microeconomics - - Market Structure, Pricing, and Design - - - Auctions
    • D45 - Microeconomics - - Market Structure, Pricing, and Design - - - Rationing; Licensing
    • H25 - Public Economics - - Taxation, Subsidies, and Revenue - - - Business Taxes and Subsidies
    • O32 - Economic Development, Innovation, Technological Change, and Growth - - Innovation; Research and Development; Technological Change; Intellectual Property Rights - - - Management of Technological Innovation and R&D
    • 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:eee:respol:v:35:y:2006:i:9:p:1261-1272. 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/respol .

    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.