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What’s good for the goose ain’t good for the gander: heterogeneous innovation capabilities and the performance effects of R&D

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  • Alex Coad
  • Nanditha Mathew
  • Emanuele Pugliese

Abstract

We investigate the effects of R&D investment on performance outcomes (sales growth and relative profitability) for Indian manufacturing firms. Previous research shows contradictory results—while some studies find a positive effect of R&D on firm performance, some find that firms investing in R&D do not perform significantly better, in some cases, even perform worse than their noninvesting counterparts. We claim that the effects of R&D on performance are often misspecified. Indeed, innovation capabilities will probably simultaneously influence the decision to invest in R&D and also R&D’s expected benefits. We apply endogenous switching regression to tackle the issue of selection and censored data, and the results we observe are sharp: Firms investing in R&D would have had less growth and less relative profitability if they had not done so. Interestingly, firms that did not invest in R&D would not have benefited had they done so. We interpret this as evidence that firms need to have sufficiently developed management capabilities to be able to convert R&D investments into tangible results, and that not all firms are well positioned to benefit from R&D investment.

Suggested Citation

  • Alex Coad & Nanditha Mathew & Emanuele Pugliese, 2020. "What’s good for the goose ain’t good for the gander: heterogeneous innovation capabilities and the performance effects of R&D," Industrial and Corporate Change, Oxford University Press and the Associazione ICC, vol. 29(3), pages 621-644.
  • Handle: RePEc:oup:indcch:v:29:y:2020:i:3:p:621-644.
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    File URL: http://hdl.handle.net/10.1093/icc/dtz073
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    Citations

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    Cited by:

    1. Dosi, Giovanni & Mathew, Nanditha & Pugliese, Emanuele, 2022. "What a firm produces matters: Processes of diversification, coherence and performances of Indian manufacturing firms," Research Policy, Elsevier, vol. 51(8).
    2. Marco Capasso & Marina Rybalka, 2022. "Innovation Pattern Heterogeneity: Data-Driven Retrieval of Firms’ Approaches to Innovation," Businesses, MDPI, vol. 2(1), pages 1-28, March.
    3. Reddy, Ketan & Sasidharan, Subash, 2023. "Innovative efforts and export market survival: Evidence from an emerging economy," Technological Forecasting and Social Change, Elsevier, vol. 186(PA).
    4. Başak Dalgıç & Burcu Fazlıoğlu & Aytekin Güven, 2023. "Innovation, employment and market structure: firm level evidence from Turkey," Empirical Economics, Springer, vol. 65(3), pages 1385-1407, September.

    More about this item

    JEL classification:

    • D22 - Microeconomics - - Production and Organizations - - - Firm Behavior: Empirical Analysis
    • O32 - Economic Development, Innovation, Technological Change, and Growth - - Innovation; Research and Development; Technological Change; Intellectual Property Rights - - - Management of Technological Innovation and R&D
    • L25 - Industrial Organization - - Firm Objectives, Organization, and Behavior - - - Firm Performance
    • L6 - Industrial Organization - - Industry Studies: Manufacturing

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