Título:
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The link between public support and private R&D effort : What is the optimal subsidy?
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Autor/a:
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Duch Brown, Néstor; García Quevedo, José,; Montolio Estivill, Daniel; Xarxa de Referència en Economia Aplicada (XREAP)
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Abstract:
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The effectiveness of R&D subsidies can vary substantially depending on their characteristics. Specifically, the amount and intensity of such subsidies are crucial issues in the design of public schemes supporting private R&D. Public agencies determine the intensities of R&D subsidies for firms in line with their eligibility criteria, although assessing the effects of R&D projects accurately is far from straightforward. The main aim of this paper is to examine whether there is an optimal intensity for R&D subsidies through an analysis of their impact on private R&D effort. We examine the decisions of a public agency to grant subsidies taking into account not only the characteristics of the firms but also, as few previous studies have done to date, those of the R&D projects. In determining the optimal subsidy we use both parametric and nonparametric techniques. The results show a non-linear relationship between the percentage of subsidy received and the firms' R&D effort. These results have implications for technology policy, particularly for the design of R&D subsidies that ensure enhanced effectiveness. |
Materia(s):
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-R&D -Public subsidies -Evaluation -Government policy -Subsidies -Enterprises -Industrial research -Política pública -Subvencions -Empreses -Recerca industrial |
Derechos:
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open access
Aquest document està subjecte a una llicència d'ús de Creative Commons, amb la qual es permet copiar, distribuir i comunicar públicament l'obra sempre que se'n citin l'autor original, la universitat i la xarxa i no se'n faci cap ús comercial ni obra derivada, tal com queda estipulat en la llicència d'ús
https://creativecommons.org/licenses/by-nc-nd/2.5/ |
Tipo de documento:
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Working paper |
Editor:
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Xarxa de Referència en Economia Aplicada (XREAP)
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Compartir:
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Uri:
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https://ddd.uab.cat/record/98097
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