Firm Segmentation as a Tool for R&D Policy Evaluation: Revisiting the Taxonomy of Firms Engaged in International R&D Networks

  • Bruno Brandao Fischer Instituto Complutense de Estudios Internacionales, Universidad Complutense de Madrid/Grupo de Investigación en Economía y Política de la Innovación (GRINEI) Universidad Complutense de Madrid
  • José Molero Universidad Complutense de Madrid/Research Group on Economics and Innovation Policy. Campus de Somosaguas-Finca Mas Ferré.
Keywords: R&D Policy, Evaluation, Eureka Program, Clusters, European Union

Abstract

As we have addressed in an earlier article, quantitative evaluation of R&D policies often approaches the outcomes of initiatives without effectively considering differential impacts on economic agents. Our goal is to confirm the existence of “segments” of firms according to their outcomes arising from participation in a given R&D program. Data is gathered from Eureka Program’s Final Reports (2000-2005 and 2006-2008) from Spanish, Italian, French, British, and German firms. Classification focus is directed towards variables related to innovation projects’ outcomes. Log-likelihood clustering method was used. Tests for differences between clusters in terms of some variables of interest were performed. Results are consistent with the hypothesis of marked heterogeneity in firms’ outcomes. This methodology offers a valuable instrument for RTD policymakers in terms of monitoring and ex post intervention.

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Author Biography

Bruno Brandao Fischer, Instituto Complutense de Estudios Internacionales, Universidad Complutense de Madrid/Grupo de Investigación en Economía y Política de la Innovación (GRINEI) Universidad Complutense de Madrid
Assistant Researcher at Instituto Complutense de Estudios Internacionales - Research Group on Economics and Innovation Policy
Published
2013-05-07
How to Cite
Brandao Fischer, B., & Molero, J. (2013). Firm Segmentation as a Tool for R&D Policy Evaluation: Revisiting the Taxonomy of Firms Engaged in International R&D Networks. Journal of Technology Management & Innovation, 8(2), 119-131. https://doi.org/10.4067/S0718-27242013000200010
Section
Research Articles