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Please use this identifier to cite or link to this item: https://hdl.handle.net/2445/118913
Assessing the assignation of public subsidies: Do the experts choose the most efficient R&D projects?
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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.
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DUCH BROWN, Néstor, GARCIA-QUEVEDO, Jose and MONTOLIO, Daniel. Assessing the assignation of public subsidies: Do the experts choose the most efficient R&D projects?. IEB Working Paper 2008/05. [consulted: 11 of August of 2026]. Available at: https://hdl.handle.net/2445/118913