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R versus D: Estimating the differentiated effect of research and development on innovation results

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  • Barge-Gil, Andrés
  • López, Alberto

Abstract

R&D is considered to be the main source of innovation. We argue that R&D is too broad a measure, including activities differing in purposes, culture, people, management and other features. However, empirical studies have not analyzed them separately, mainly due to the lack of data. Using firm-level data, the aim of this paper is to estimate the differentiated effect of research and development on different innovation outputs. Results show that both research and development activities are important. However, we find that development activities are more important for product innovation, while the effect of research activities is higher on process innovation. Moreover, we analyze differences by technological intensity of the sector. When analyzing product and process innovations, we find evidence supporting the existence of higher payoffs to development and, especially to research in low-tech sectors when compared with high-tech ones.

Suggested Citation

  • Barge-Gil, Andrés & López, Alberto, 2011. "R versus D: Estimating the differentiated effect of research and development on innovation results," MPRA Paper 29091, University Library of Munich, Germany.
  • Handle: RePEc:pra:mprapa:29091
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    Citations

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    Cited by:

    1. Germán Daniel Lambardi & Jhon James Mora, 2014. "Determinantes de la innovación en productos o procesos: el caso colombiano," Revista de Economía Institucional, Universidad Externado de Colombia - Facultad de Economía, vol. 16(31), pages 251-262, July-Dece.
    2. Albahari, Alberto & Pérez-Canto, Salvador & Barge-Gil, Andrés & Modrego, Aurelia, 2017. "Technology Parks versus Science Parks: Does the university make the difference?," Technological Forecasting and Social Change, Elsevier, vol. 116(C), pages 13-28.
    3. André Spithoven, Belgian Science Policy Office and Ghent University & Michel Dumont & Peter Teirlinck, Belgian Science Policy Office and KU Leuven, 2014. "Working Paper 08-14 - Public support for R&D and the educational mix of R&D employees," Working Papers 1408, Federal Planning Bureau, Belgium.
    4. Barge-Gil, Andrés & López, Alberto, 2013. "R&D and productivity: In search of complementarity between research and development activities," MPRA Paper 43808, University Library of Munich, Germany.
    5. Beck, Mathias & Junge, Martin & Kaiser, Ulrich, 2017. "Public Funding and Corporate Innovation," IZA Discussion Papers 11196, Institute for the Study of Labor (IZA).
    6. Barge-Gil, Andrés & López, Alberto, 2014. "R&D determinants: Accounting for the differences between research and development," Research Policy, Elsevier, vol. 43(9), pages 1634-1648.
    7. Arkadiusz Swiadek & Piotr Dzikowski & Marek Tomaszewski & Jadwiga Goraczkowska, 2016. "Structural Determinants of Innovation in Industry: The Pavitt Model in the Polish Economy (Strukturalne uwarunkowania aktywnosci innowacyjnej w przemysle – model Pavitta w polskiej gospodarce)," Problemy Zarzadzania, University of Warsaw, Faculty of Management, vol. 14(62), pages 202-224.
    8. Michel Dumont & André Spithoven & Peter Teirlinck, 2016. "Public Support for R&D and the Educational Mix of R&D Employees," CESifo Economic Studies, CESifo, vol. 62(3), pages 426-452.

    More about this item

    Keywords

    R&D; patents; product innovation; process innovation; impact;

    JEL classification:

    • O3 - Economic Development, Innovation, Technological Change, and Growth - - Innovation; Research and Development; Technological Change; Intellectual Property Rights
    • L60 - Industrial Organization - - Industry Studies: Manufacturing - - - General

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