Assessing the assignation of public subsidies: Do the experts choose the most efficient R&D projects?

Nestor Duch-Brown, Jose Garcia-Quevedo and Daniel Montolio
Authors registered in the RePEc Author Service: Néstor Duch Brown

No 207, Working Papers in Economics from Universitat de Barcelona. Espai de Recerca en Economia

Abstract: The implementation of public programs to support business R&D projects requires the establishment of a selection process. This selection process faces various difficulties, which include the measurement of the impact of the R&D projects as well as selection process optimization among projects with multiple, and sometimes incomparable, performance indicators. To this end, public agencies generally use the peer review method,which, while presenting some advantages, also demonstrates significant drawbacks. Private firms, on the other hand, tend toward more quantitative methods, such as Data Envelopment Analysis (DEA), in their pursuit of R&D investment optimization. In this paper, the performance of a public agency peer review method of project selection is compared with an alternative DEA method.

JEL-codes: C61 H25 O32 (search for similar items in EconPapers)
Pages: 0 pages
Date: 2008
New Economics Papers: this item is included in nep-ino, nep-ipr, nep-pr~ and nep-pbe
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Citations: View citations in EconPapers (1)

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Working Paper: Assessing the assignation of public subsidies: Do the experts choose the most efficient R&D projects? (2008)
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