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


Autoria(s): García Quevedo, José, 1963-; Duch Brown, Néstor; Montolio Estivill, Daniel
Contribuinte(s)

Xarxa de Referència en Economia Aplicada (XREAP)

Data(s)

2008

Resumo

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.

Formato

30 p.

201958 bytes

application/pdf

Identificador

http://hdl.handle.net/2072/13004

Idioma(s)

eng

Publicador

Xarxa de Referència en Economia Aplicada (XREAP)

Relação

XREAP;2008-12

Direitos

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Palavras-Chave #Investigació científica i desenvolupament #Política tecnològica #Empreses #Subvencions #33 - Economia
Tipo

info:eu-repo/semantics/workingPaper