FDI, Linkages and the Efficiency of State-Owned Enterprises in China
By Sourafel Girma, Yundan Gong. 2008
125 citations recorded by the source corpus.
Subfields: Accounting, Economics and Econometrics, Strategy and Management
View Paper: https://www.semanticscholar.org/paper/52aec113451101affcc4af9373c768c2f73e3a72
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In Accounting
- Yundan Gong
- Sourafel Girma
- Jun Du
- Yama Temouri
- Holger Görg
- Shihe Fu
- Christian Volpe Martincus
- Jeronimo Carballo
In Economics and Econometrics
In Strategy and Management
Citations in the corpus
- Determinants of Horizontal Spillovers from FDI: Evidence from a Large Meta-Analysis (2013, unknown): “…et al. (2008) Lileeva (2006) Taymaz & Y llmaz (2008) Gersl (2008) Lin et al. (2009) Tong & Hu (2007) Gersl et al. (2007) Liu (2008) Vacek (2007) Girma & Gong (2008) Liu et al. (2009) Wang & Zhao (2008) Girma et al. (2008) Managi & Bwalya (2010) Yudaeva et al. (2003) Girma & Wakelin (2007)…”
- Economic Growth, Local Industrial Development and Inter-Regional Spillovers from Foreign Direct Investment: Evidence from China (2012, background): “Girma and Gong [34] use state-owned enterprises (SOE) data in 1999–2002 from China and find that foreign firms do not benefit SOEs in other regions.”
- Corruption, Governance and FDI Location in China: A Province-Level Analysis (2009, background): “Although, in the case of China, there is little evidence of FDI spillovers to state-owned enterprises (Girma and Gong, 2008).”
- Foreign Direct Investment, Access to Finance, and Innovation Activity in Chinese Enterprises (2008, methodology): “As to the evidence on productivity spillovers and technology diffusion from FDI, Girma and Gong (2007) use a dataset on Chinese state-owned enterprises to investigate the link between inward FDI spillovers and productivity of Chinese state-owned enterprises, while Berthelemy and Demurger (2000) use ”
- High-growth firms and productivity: evidence from the United Kingdom (2015, methodology): “Nevertheless, we employ an informal "test" used by researchers to gauge the appropriateness of the TFP estimates within our data set, and test for the sensitivity of using alternative measures (for example Girma and Gong, 2008).”