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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.
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Details
1 LISIS, Univ Gustave Eiffel, ESIEE Paris, CNRS, INRAE, Marne-laVallée, France
2 University of Salento, Department of Economics and Management, Lecce, Italy (GRID:grid.9906.6) (ISNI:0000 0001 2289 7785)
3 LISIS, Univ Gustave Eiffel, ESIEE Paris, CNRS, INRAE, Marne-laVallée, France (GRID:grid.9906.6)
4 Sapienza University of Rome, Department of Computer, Control and Management Engineering “A. Ruberti”, Rome, Italy (GRID:grid.7841.a)
5 LISIS, Univ Gustave Eiffel, ESIEE Paris, CNRS, INRAE, Marne-laVallée, France (GRID:grid.7841.a); University of Manchester, AMBS, Manchester Institute of innovation Research, Manchester, United Kingdom (GRID:grid.5379.8) (ISNI:0000000121662407)