Please use this identifier to cite or link to this item:
Title: Assessing the assignation of public subsidies: Do the experts choose the most efficient R&D projects?
Author: Duch Brown, Néstor
Garcia-Quevedo, Jose
Montolio, Daniel
Keywords: Recerca industrial
Avaluació d'experts
Anàlisi cost-benefici
Industrial research
Peer review
Cost effectiveness
Issue Date: 2008
Publisher: Institut d’Economia de Barcelona
Series/Report no: [WP E-IEB08/05]
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.
Note: Reproducció del document publicat a:
It is part of: IEB Working Paper 2008/05
Appears in Collections:IEB (Institut d’Economia de Barcelona) – Working Papers

Files in This Item:
File Description SizeFormat 
IEB08-05_DuchBrown.pdf418.38 kBAdobe PDFView/Open

This item is licensed under a Creative Commons License Creative Commons