How does Internationalisation affect the productivity of R&D activities in large innovative firms? A conditional nonparametric investigation

Patricia Laurens (), Pierluigi Toma (), Antoine Schoen (), Cinzia Daraio () and Philippe Larédo ()
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Patricia Laurens: LISIS, Univ Gustave Eiffel, ESIEE Paris, CNRS, INRAE
Pierluigi Toma: University of Salento
Antoine Schoen: LISIS, Univ Gustave Eiffel, ESIEE Paris, CNRS, INRAE
Cinzia Daraio: Sapienza University of Rome
Philippe Larédo: LISIS, Univ Gustave Eiffel, ESIEE Paris, CNRS, INRAE

Quality & Quantity: International Journal of Methodology, 2023, vol. 57, issue 2, No 5, 1079-1100

Abstract: Abstract This work explores the relationship between multinational R&D and innovation productivity among top corporate knowledge and R&D producers by adopting a twofold concept of internationalisation: (1) the firm’s degree of R&D internationalisation, and (2) the firm’s geographic diversification. We model the patent production process with an appropriate and robust conditional Data Envelopment Analysis (DEA) estimator, using a unique database of firms that matches financial indicators and patent information. Our results reinforce the fundamental role of internationalisation in the knowledge production process when the internationalisation process is properly and strategically managed. We interpret our empirical evidence through the theoretical lens of the learning theory of internationalisation, and we postulate that a high R&D intensity is a key driver to overcoming the challenges of internationalisation.

Keywords: R&D productivity; Multinationality; Conditional efficiency; Patents; DEA modelling (search for similar items in EconPapers)
JEL-codes: C44 F23 L25 O32 (search for similar items in EconPapers)
Date: 2023
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DOI: 10.1007/s11135-022-01391-z

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