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Multinational enterprises' R&D commitments in Chinese provinces: A configurational approach

Allen, Matthew M.C.; Demirbag, Mehmet; Allen, Maria L.; Bhankaraully, Shabneez; Wood, Geoff

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Authors

Matthew M.C. Allen

Mehmet Demirbag

Maria L. Allen

Shabneez Bhankaraully

Geoff Wood



Abstract

Multinational enterprises (MNEs) are increasingly off-shoring some of their R&D to emerging markets, including China. Much of the extant literature on MNEs' investments in R&D facilities abroad analyses technological and institutional factors at the national level, typically using regressions to examine how host-country institutions influence foreign MNEs' outlays. It, therefore, tends to downplay the importance of sub-national and non-technology-related institutions, and how configurations of home- and host-country institutions interact to influence R&D commitments abroad. Drawing on the global factory model and the Varieties of Capitalism approach, we identify five causal conditions that may influence MNEs' R&D commitments abroad. Conducting an abductive fuzzy-set qualitative comparative analysis, we find four combinations of causal conditions are sufficient to explain substantial R&D commitments in different Chinese provinces. The combination of local corruption and provincial R&D intensity is important, as are the MNE's home-country stock-market capitalization to GDP ratio and minority investor protection. We contribute to the literature on MNEs' investments abroad by extending the importance of subnational institutions to include those not directly related to technology. We also reveal how combinations of institutions (rather than individual ones acting independently) from the MNE's home and host contexts explain MNEs' R&D commitments in Chinese provinces.

Journal Article Type Article
Acceptance Date Nov 5, 2024
Online Publication Date May 22, 2024
Publication Date 2024-08
Deposit Date Feb 6, 2025
Publicly Available Date Feb 6, 2025
Journal Journal of International Management
Print ISSN 1075-4253
Publisher Elsevier
Peer Reviewed Peer Reviewed
Volume 30
Issue 4
Article Number 101158
DOI https://doi.org/10.1016/j.intman.2024.101158

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