The DOI matches its Crossref record; 38 of the 38 references it cites were found in a registry or an index.
China's outward foreign direct investment: Location choice and firm ownership
Open accessAbstract
Abstract This article evaluates the international location decisions made by public listed Chinese firms during the period 2006–2008, using a Poisson count data regression model. Further, we categorize the firms into state-controlled and privately owned according to majority ownership. We find that the determinants of internationalization differ based on ownership. State-controlled firms are attracted to countries with large sources of natural resources and risky political environments. Private firms are more market seekers. Although all firms have strategic intent, the attraction is commercially viable technology rather than core research content. Our findings also show that existing theories can sufficiently explain the actions of private Chinese firms, but adjustments are needed to understand the behavior of state-controlled multinationals.
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Cited by
Five decades of research on foreign direct investment by MNEs: An overview and research agenda
Paul, J., & Feliciano-Cestero, M. M. (2021) · Journal of Business Research · doi:10.1016/j.jbusres.2020.04.017 · Cited by 401
Varieties in state capitalism and corporate innovation: Evidence from an emerging economy
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Xie, E., Reddy, K. S., & Liang, J. (2017) · Journal of World Business · doi:10.1016/j.jwb.2016.12.005 · Cited by 312
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Metadata
- Authors
- Ramasamy, B., Yeung, M., & Laforet, S.
- Venue
- Journal of World Business
- Publisher
- Elsevier BV
- Published
- 2012-01
- Volume
- 47
- Issue
- 1
- Pages
- 17-25
- ISSN
- 1090-9516 (ISSN-L)
- OpenAlex
- W2080607305
- Cited by
- 801
- References
- 38
- FWCI
- 37.46
- Type
- journal article
- Language
- en
- Open access
- green
- Licence
- www.elsevier.com/tdm/userlicense/1.0/ (tdm)
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Contains information from the Semantic Scholar Academic Graph Datasets, made available under the ODC Attribution License (ODC-BY 1.0).
Semantic Scholar’s data is described in: Kinney, R., et al. (2023). The Semantic Scholar Open Data Platform. arXiv:2301.10140.
