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

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  • 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.
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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
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    1. 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.
    2. 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.
    3. 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.
    4. 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.
    5. 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.
    6. 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.
    7. 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.
    8. 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.
    9. 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.
    10. Laffont, Jean-Jacques & Robert, Jacques, 1996. "Optimal auction with financially constrained buyers," Economics Letters, Elsevier, vol. 52(2), pages 181-186, August.
    11. 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.
    12. 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.
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    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

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