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

Néstor Duch-Brown (), Jose Garcia-Quevedo () and Daniel Montolio ()
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Néstor Duch-Brown: IEB & Universitat de Barcelona

Authors registered in the RePEc Author Service: Néstor Duch Brown

No 2008/5, Working Papers from Institut d'Economia de Barcelona (IEB)

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.

Keywords: Subsidies; R&D; DEA; Multi Criteria Decision Analysis; “peer review” (search for similar items in EconPapers)
JEL-codes: O32 C61 H25 (search for similar items in EconPapers)
Pages: 22 pages
Date: 2008
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Working Paper: Assessing the assignation of public subsidies: Do the experts choose the most efficient R&D projects? (2008) Downloads
Working Paper: Assessing the assignation of public subsidies: Do the experts choose the most efficient R&D projects? (2008) Downloads
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