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Quantifying sunk costs and learning effects in R&D persistence

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  • Mañez, J.A.
  • Love, J.H.

Abstract

This paper analyzes and quantifies the fundamental factors that are likely to cause persistence in performing R&D activities: the existence of sunk costs associated with R&D activities and the process of learning that characterizes this type of activity. We estimate our model with Spanish manufacturing firms for the period 1991-2014. By decomposing the effects of sunk costs and learning effects, we find that both are important determinants of R&D persistence, and that failing to allow for learning systematically overestimates sunk cost effects. Both large firms and SMEs benefit from direct and indirect (via productivity) effects of R&D experience, but in large firms this is more likely to be manifest through productivity improvements while in smaller firms the effect is more skewed towards a direct effect on R&D likelihood. Further, our results suggest that whereas the impact of sunk costs in R&D persistence is greater for large firms than for SMEs, the scope for direct learning from continuous R&D engagement is greater for SMEs than for larger firms.

Suggested Citation

  • Mañez, J.A. & Love, J.H., 2020. "Quantifying sunk costs and learning effects in R&D persistence," Research Policy, Elsevier, vol. 49(7).
  • Handle: RePEc:eee:respol:v:49:y:2020:i:7:s0048733320300846
    DOI: 10.1016/j.respol.2020.104004
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    More about this item

    Keywords

    R&D persistence; Sunk costs; Learning effects; JEL: O32; L60;
    All these keywords.

    JEL classification:

    • O32 - Economic Development, Innovation, Technological Change, and Growth - - Innovation; Research and Development; Technological Change; Intellectual Property Rights - - - Management of Technological Innovation and R&D
    • L60 - Industrial Organization - - Industry Studies: Manufacturing - - - General

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