Global knowledge flow and Japanese multinational firms’ offshore R&D allocation and innovation

Keiko Ito, Kenta Ikeuchi and Taro Daiko

Japan and the World Economy, 2021, vol. 59, issue C

Abstract: This paper examines whether allocating more research and development (R&D) activities to a country-industry pair with a higher intensity of knowledge flows improves the innovation performance of multinational enterprises (MNEs). We use firm-patent-matched data for Japanese manufacturing MNEs, including data on MNEs’ offshore R&D expenditure and information on patents filed by both parent firms and overseas affiliates. Moreover, as a proxy for the intensity of knowledge flows, we use the eigenvector centrality of each country-industry pair in the global knowledge flow network, utilizing patent citation information.

Keywords: Multinational enterprises; Offshore R&D; Patent; Innovation; Knowledge flow network; Eigenvector centrality (search for similar items in EconPapers)
JEL-codes: F23 O32 O33 (search for similar items in EconPapers)
Date: 2021
References: View references in EconPapers View complete reference list from CitEc
Citations: View citations in EconPapers (2)

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Persistent link: https://EconPapers.repec.org/RePEc:eee:japwor:v:59:y:2021:i:c:s0922142521000372

DOI: 10.1016/j.japwor.2021.101090

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