Nestor Duch-Brown () (IEB, Universitat de Barcelona) José García-Quevedo () (IEB, Universitat de Barcelona) Daniel Montolio () (IEB, Universitat de Barcelona)
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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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Paper provided by Xarxa de Referència en Economia Aplicada (XREAP) in its series Working Papers with number
XREAP2008-12.
Length: 30 pages Date of creation: Nov 2008 Date of revision:
Nov 2008 Handle: RePEc:xrp:wpaper:xreap2008-12
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