Máñez, JA and Love, JH orcid.org/0000-0003-3478-685X (2020) Quantifying sunk costs and learning effects in R&D persistence. Research Policy, 49 (7). 104004. ISSN 0048-7333
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.
Metadata
| Item Type: | Article | 
|---|---|
| Authors/Creators: | 
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| Copyright, Publisher and Additional Information: | © 2020 Elsevier B.V. All rights reserved. This is an author produced version of an article published in Research Policy. Uploaded in accordance with the publisher's self-archiving policy. | 
| Keywords: | R&D persistence; Sunk costs; Learning effects, JEL: O32, L60 | 
| Dates: | 
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| Institution: | The University of Leeds | 
| Academic Units: | The University of Leeds > Faculty of Business (Leeds) > International Business Division (LUBS) (Leeds) | 
| Depositing User: | Symplectic Publications | 
| Date Deposited: | 29 May 2020 12:40 | 
| Last Modified: | 10 Dec 2021 01:38 | 
| Status: | Published | 
| Publisher: | Elsevier | 
| Identification Number: | 10.1016/j.respol.2020.104004 | 
| Open Archives Initiative ID (OAI ID): | oai:eprints.whiterose.ac.uk:161351 | 

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