What drives innovation output from subsidized R&D cooperation?—Project-level evidence from Germany

Using a large dataset of 406 subsidized R&D cooperation projects, we provide detailed insights into the relationship between project characteristics and innovation output. Patent applications and publications are used as measures for the innovation output of an R&D project. We find that larg...

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Published inTechnovation Vol. 32; no. 6; pp. 358 - 369
Main Authors Schwartz, Michael, Peglow, Francois, Fritsch, Michael, Günther, Jutta
Format Journal Article
LanguageEnglish
Published Amsterdam Elsevier Ltd 01.06.2012
Elsevier Sequoia S.A
Subjects
Cooperation
Germany
Impact analysis
Innovation
Innovation output
Innovations
Measurement
Project organization
R&D
R&D cooperation
R&D policy
Research & development
Research and development
Research projects
Studies
Subsidies
Germany
R&D policy
R&D cooperation
Innovation output
Project organization
Online AccessGet full text

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Abstract Using a large dataset of 406 subsidized R&D cooperation projects, we provide detailed insights into the relationship between project characteristics and innovation output. Patent applications and publications are used as measures for the innovation output of an R&D project. We find that large-firm involvement is strongly positively related with the number of patent applications, but not with the number of publications. Conversely, university involvement has positive effects on projects’ innovation output in terms of the number of publications but not in terms of patent applications. In general, projects’ funding as measure of projects’ size is an important predictor of the innovation output of R&D cooperation projects. No significant effects are found for the number of partners as (an alternative) measure of projects’ size, for spatial proximity between cooperation partners, for the involvement of a public institute for applied research, and for prior cooperation experiences. We derive conclusions for the design of R&D cooperation support schemes. ► R&D consortiums’ design is important for its innovative success. ► R&D projects’ funding is an important predictor of the innovative success of R&D cooperation projects. ► R&D cooperation with universities increase projects’ publication output. ► R&D cooperation with large firms increase projects’ patent output.
AbstractList Using a large dataset of 406 subsidized RD cooperation projects, we provide detailed insights into the relationship between project characteristics and innovation output. Patent applications and publications are used as measures for the innovation output of an RD project. We find that large-firm involvement is strongly positively related with the number of patent applications, but not with the number of publications. Conversely, university involvement has positive effects on projects' innovation output in terms of the number of publications but not in terms of patent applications. In general, projects' funding as measure of projects' size is an important predictor of the innovation output of RD cooperation projects. No significant effects are found for the number of partners as (an alternative) measure of projects' size, for spatial proximity between cooperation partners, for the involvement of a public institute for applied research, and for prior cooperation experiences. We derive conclusions for the design of RD cooperation support schemes.
Using a large dataset of 406 subsidized R&D cooperation projects, we provide detailed insights into the relationship between project characteristics and innovation output. Patent applications and publications are used as measures for the innovation output of an R&D project. We find that large-firm involvement is strongly positively related with the number of patent applications, but not with the number of publications. Conversely, university involvement has positive effects on projects' innovation output in terms of the number of publications but not in terms of patent applications. In general, projects' funding as measure of projects' size is an important predictor of the innovation output of R&D cooperation projects. No significant effects are found for the number of partners as (an alternative) measure of projects' size, for spatial proximity between cooperation partners, for the involvement of a public institute for applied research, and for prior cooperation experiences. We derive conclusions for the design of R&D cooperation support schemes. All rights reserved, Elsevier
Using a large dataset of 406 subsidized R&D cooperation projects, we provide detailed insights into the relationship between project characteristics and innovation output. Patent applications and publications are used as measures for the innovation output of an R&D project. We find that large-firm involvement is strongly positively related with the number of patent applications, but not with the number of publications. Conversely, university involvement has positive effects on projects’ innovation output in terms of the number of publications but not in terms of patent applications. In general, projects’ funding as measure of projects’ size is an important predictor of the innovation output of R&D cooperation projects. No significant effects are found for the number of partners as (an alternative) measure of projects’ size, for spatial proximity between cooperation partners, for the involvement of a public institute for applied research, and for prior cooperation experiences. We derive conclusions for the design of R&D cooperation support schemes. ► R&D consortiums’ design is important for its innovative success. ► R&D projects’ funding is an important predictor of the innovative success of R&D cooperation projects. ► R&D cooperation with universities increase projects’ publication output. ► R&D cooperation with large firms increase projects’ patent output.
Using a large dataset of 406 subsidized R&D cooperation projects, we provide detailed insights into the relationship between project characteristics and innovation output. Patent applications and publications are used as measures for the innovation output of an R&D project. We find that large-firm involvement is strongly positively related with the number of patent applications, but not with the number of publications. Conversely, university involvement has positive effects on projects' innovation output in terms of the number of publications but not in terms of patent applications. In general, projects' funding as measure of projects' size is an important predictor of the innovation output of R&D cooperation projects. No significant effects are found for the number of partners as (an alternative) measure of projects' size, for spatial proximity between cooperation partners, for the involvement of a public institute for applied research, and for prior cooperation experiences. We derive conclusions for the design of R&D cooperation support schemes. [PUBLICATION ABSTRACT]
Author Peglow, Francois
Fritsch, Michael
Günther, Jutta
Schwartz, Michael
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  givenname: Francois
  surname: Peglow
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  givenname: Michael
  surname: Fritsch
  fullname: Fritsch, Michael
  email: m.fritsch@uni-jena.de
  organization: Halle Institute for Economic Research, P.O. Box 11 03 61, 06017 Halle (Saale), Germany
– sequence: 4
  givenname: Jutta
  surname: Günther
  fullname: Günther, Jutta
  email: Jutta.Guenther@iwh-halle.de
  organization: Halle Institute for Economic Research, P.O. Box 11 03 61, 06017 Halle (Saale), Germany
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Snippet Using a large dataset of 406 subsidized R&D cooperation projects, we provide detailed insights into the relationship between project characteristics and...
Using a large dataset of 406 subsidized RD cooperation projects, we provide detailed insights into the relationship between project characteristics and...
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SubjectTerms Cooperation
Germany
Impact analysis
Innovation
Innovation output
Innovations
Measurement
Project organization
R&D
R&D cooperation
R&D policy
Research & development
Research and development
Research projects
Studies
Subsidies
Title What drives innovation output from subsidized R&D cooperation?—Project-level evidence from Germany
URI https://dx.doi.org/10.1016/j.technovation.2012.03.004
https://www.proquest.com/docview/1022711218
https://search.proquest.com/docview/1027673468
https://search.proquest.com/docview/1494339085
Volume 32
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