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R&D cooperation and innovation activities of firms—evidence for the German manufacturing industry

Becker, Wolfgang, Dietz, Jürgen·2004·Research Policy

Abstract

The aim of the paper is to investigate in a simultaneous equation framework the role of R&D cooperation in the innovation process under two specific aspects. First, the analysis is concentrated on the impact of R&D cooperation - in line with other factors - on firm's innovation input and output. Second, it will be analyzed how the number of cooperation partners affects the development of new products. Starting with the discussion of theoretically expected effects of successfully R&D cooperation on the innovation activities of firms, the importance of inter-organizational arrangements in R&D is empirically investigated for firms in the German manufacturing industry. The estimation results can be summarized as follows: In the German manufacturing industry, R&D cooperations are used complementary in the innovation process, enhancing the innovation input and output of firms measured by the intensity of inhouse R&D respectively the realization of product innovations. On the input side, the intensity of inhouse R&D also stimulates the probability and the number of R&D cooperations with other firms and institutions.

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Metadata

Authors
Becker, W., & Dietz, J.
Venue
Research Policy
Publisher
Elsevier BV
Published
2004-03
Volume
33
Issue
2
Pages
209-223
ISSN
0048-7333 (ISSN-L)
OpenAlex
W2079401197
Cited by
762
References
4
FWCI
25.67
Type
journal article
Language
en
Open access
closed

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CoChat. (2026). Citation check: R&D cooperation and innovation activities of firms—evidence for the German manufacturing industry. https://app.cochat.ai/papers/10.1016/j.respol.2003.07.003
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Becker, W., & Dietz, J. (2004). R&D cooperation and innovation activities of firms—evidence for the German manufacturing industry. Research Policy. https://doi.org/10.1016/j.respol.2003.07.003

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Bibliographic data: Semantic Scholar, OpenAlex, Crossref.

Contains information from the Semantic Scholar Academic Graph Datasets, made available under the ODC Attribution License (ODC-BY 1.0).

Semantic Scholar’s data is described in: Kinney, R., et al. (2023). The Semantic Scholar Open Data Platform. arXiv:2301.10140.