Regional determinants of FDI in China: A new approach with recent data
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- Jushan Bai & Serena Ng, 2002.
"Determining the Number of Factors in Approximate Factor Models,"
Econometrica, Econometric Society, vol. 70(1), pages 191-221, January.
- Jushan Bai & Serena Ng, 2000. "Determining the Number of Factors in Approximate Factor Models," Econometric Society World Congress 2000 Contributed Papers 1504, Econometric Society.
- Jushan Bai & Serena Ng, 2000. "Determining the Number of Factors in Approximate Factor Models," Boston College Working Papers in Economics 440, Boston College Department of Economics.
- Forni, Mario, et al, 2001.
"Coincident and Leading Indicators for the Euro Area,"
Economic Journal, Royal Economic Society, vol. 111(471), pages 62-85, May.
- Lucrezia Reichlin & Mario Forni & Marc Hallin & Marco Lippi, 2001. "Coincident and leading indicators for the Euro area," ULB Institutional Repository 2013/10137, ULB -- Universite Libre de Bruxelles.
- Ng, Linda Fung-Yee & Tuan, Chyau, 2006. "Spatial agglomeration, FDI, and regional growth in China: Locality of local and foreign manufacturing investments," Journal of Asian Economics, Elsevier, vol. 17(4), pages 691-713, October.
- Belderbos, Rene & Carree, Martin, 2002.
"The Location of Japanese Investments in China: Agglomeration Effects, Keiretsu, and Firm Heterogeneity,"
Journal of the Japanese and International Economies, Elsevier, vol. 16(2), pages 194-211, June.
- Belderbos, R.A. & Carree, M.A., 2000. "The location of Japanese investments in China: agglomeration effects, Keiretsu, and firm heterogeneity," Research Memorandum 002, Maastricht University, Netherlands Institute of Business Organization and Strategy Research (NIBOR).
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- Yi Liu & Cecil Pearson, 2011. "The Determining Factors of Western Australia’s (WA) Foreign Investment in China," Global Business Review, International Management Institute, vol. 12(1), pages 1-20, February.
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More about this item
Keywords
FDI; China; factors analysis; regional and spatial distribution of FDI; location choice;All these keywords.
NEP fields
This paper has been announced in the following NEP Reports:- NEP-CNA-2009-09-19 (China)
- NEP-DEV-2009-09-19 (Development)
- NEP-GEO-2009-09-19 (Economic Geography)
- NEP-TRA-2009-09-19 (Transition Economics)
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