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The Production of Academic Technological Knowledge: an Exploration at the Research Group Level

Author

Listed:
  • Manuel Acosta

    (University of Cádiz)

  • Daniel Coronado

    (University of Cádiz)

  • Mª Dolores León

    (University of Cádiz)

  • Pedro Jesús Moreno

    (University of Cádiz)

Abstract

Public research institutions have a key role in a knowledge-based society as they lead scientific research and generate patentable technology directly applicable to industrial productive processes. In this paper, we address the latter role. Several well-known papers have dealt with the production of university patents at the level of universities and laboratories; however, despite the relevance of research groups in national research systems, their capacity as producers of patents has been neglected. In this paper, we fill this gap by testing the effect of previous collaborations and the scientific background of the group on the production of knowledge, measured by the number of patents. In the framework of a knowledge production function, we estimate several empirical count models with a sample of 1120 research groups affiliated to the three major public research institutions in Spain. Our findings suggest that the production of patents at the research group level is positively and significantly correlated with the variables capturing private collaboration and scientific background. The results also point to significant differences in the production of technological knowledge across institutions and areas of research.

Suggested Citation

  • Manuel Acosta & Daniel Coronado & Mª Dolores León & Pedro Jesús Moreno, 2020. "The Production of Academic Technological Knowledge: an Exploration at the Research Group Level," Journal of the Knowledge Economy, Springer;Portland International Center for Management of Engineering and Technology (PICMET), vol. 11(3), pages 1003-1025, September.
  • Handle: RePEc:spr:jknowl:v:11:y:2020:i:3:d:10.1007_s13132-019-0586-9
    DOI: 10.1007/s13132-019-0586-9
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    2. Oleg Sukharev, 2021. "Measuring the Contribution of the “Knowledge Economy” to the Economic Growth Rate: Comparative Analysis," Journal of the Knowledge Economy, Springer;Portland International Center for Management of Engineering and Technology (PICMET), vol. 12(4), pages 1809-1829, December.
    3. Sylvia Novillo-Villegas & Ricardo Ayala-Andrade & Juan Pablo Lopez-Cox & Javier Salazar-Oyaneder & Patricia Acosta-Vargas, 2022. "A Roadmap for Innovation Capacity in Developing Countries," Sustainability, MDPI, vol. 14(11), pages 1-20, May.
    4. Sylvia Novillo-Villegas & Patricia Acosta-Vargas & Christian Cruz-Boada & Mateo Garzon & Andre Marin-Dett & Wendy Anzules-Falcones, 2022. "Sustaining the Path for Innovation Capability from a Developing Country Perspective: A Conceptual Framework," Sustainability, MDPI, vol. 14(19), pages 1-26, October.
    5. Oleg Sergeevich Sukharev, 2023. "Intellectual Firm: Key Features and Development Models," Journal of the Knowledge Economy, Springer;Portland International Center for Management of Engineering and Technology (PICMET), vol. 14(2), pages 1091-1119, June.

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    More about this item

    Keywords

    Collaboration; Knowledge production function; Patents; Research group;
    All these keywords.

    JEL classification:

    • O31 - Economic Development, Innovation, Technological Change, and Growth - - Innovation; Research and Development; Technological Change; Intellectual Property Rights - - - Innovation and Invention: Processes and Incentives
    • O38 - Economic Development, Innovation, Technological Change, and Growth - - Innovation; Research and Development; Technological Change; Intellectual Property Rights - - - Government Policy
    • C21 - Mathematical and Quantitative Methods - - Single Equation Models; Single Variables - - - Cross-Sectional Models; Spatial Models; Treatment Effect Models

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