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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
Additional contact information
Patricia Laurens: LISIS - Laboratoire Interdisciplinaire Sciences, Innovations, Sociétés - CNRS - Centre National de la Recherche Scientifique - INRAE - Institut National de Recherche pour l’Agriculture, l’Alimentation et l’Environnement - Université Gustave Eiffel
Pierluigi Toma: Università del Salento = University of Salento [Lecce]
Antoine Schoen: LISIS - Laboratoire Interdisciplinaire Sciences, Innovations, Sociétés - CNRS - Centre National de la Recherche Scientifique - INRAE - Institut National de Recherche pour l’Agriculture, l’Alimentation et l’Environnement - Université Gustave Eiffel
Cinzia Daraio: Sapienza University of Rome - Department of Informatics and System Sciences - UNIROMA - Università degli Studi di Roma "La Sapienza" = Sapienza University [Rome]
Philippe Larédo: LISIS - Laboratoire Interdisciplinaire Sciences, Innovations, Sociétés - CNRS - Centre National de la Recherche Scientifique - INRAE - Institut National de Recherche pour l’Agriculture, l’Alimentation et l’Environnement - Université Gustave Eiffel, University of Manchester [Manchester]

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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; multinationality; conditional efficiency; patents; DEA modelling JEL classification O32; F23; L25; C44 (search for similar items in EconPapers)
Date: 2022
New Economics Papers: this item is included in nep-cse, nep-eff, nep-ino, nep-int, nep-knm, nep-sbm and nep-tid
Note: View the original document on HAL open archive server: https://hal.science/hal-03840316v1
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Published in Quality and Quantity, 2022, ⟨10.1007/s11135-022-01391-z⟩

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Persistent link: https://EconPapers.repec.org/RePEc:hal:journl:hal-03840316

DOI: 10.1007/s11135-022-01391-z

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