Regional determinants of FDI in China: a new approach with recent data
AbstractWe empirically investigate the factors that drive the uneven regional distribution of foreign direct investment (FDI) inflows to Chinaâ€™s 31 provinces from 1995 to 2006. The aim of this paper is to explain the investment patterns in (partly) foreign funded firms across these provinces. We use factor analysis and derive four factors that may drive FDI: institutions, labor costs, market potential, and geography. The factor analysis then structures our dataset to concentrate on these four clusters consisting of 42 province specific and time -varying items. Factor analysis not only helps us to identify the latent dimensions which are not apparent from direct study, but also facilitates econometrics with reduced number of variables. We apply fixed effects panel estimation and GMM to account for endogeneity. In line with theoretical predictions we find that foreign investors choose and invest more in provinces with better institutions, lower labor costs, and larger market size. Nonlinear results denote that the positive effects of infrastructure and market potential on FDI are complementary to each other, which is in line with the economic geography literature. In particular the effect of market size on FDI is larger in provinces with better institutions. Sub-sample study confirms the existences of a large disparity between East and West. In the poorer large western provinces FDI is strongly driven by the geographical factor in contrast to the east of China where institutions play a significant role to build the â€˜factory of the worldâ€™. Robustness tests indicate that two sub-dimensions of institutions, namely infrastructure and governance, are important to determine the location choice of FDI in China.
Download InfoIf you experience problems downloading a file, check if you have the proper application to view it first. In case of further problems read the IDEAS help page. Note that these files are not on the IDEAS site. Please be patient as the files may be large.
Bibliographic InfoPaper provided by Utrecht School of Economics in its series Working Papers with number 09-23.
Length: 32 pages
Date of creation: 2009
Date of revision:
Contact details of provider:
Postal: P.O. Box 80125, NL-3508 TC Utrecht
Phone: +31 30 253 9800
Fax: +31 30 253 7373
Web page: http://www.uu.nl/EN/faculties/leg/organisation/schools/schoolofeconomicsuse/Pages/default.aspx
More information through EDIRC
This paper has been announced in the following NEP Reports:
- NEP-ALL-2009-09-19 (All new papers)
- 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)
Please report citation or reference errors to , or , if you are the registered author of the cited work, log in to your RePEc Author Service profile, click on "citations" and make appropriate adjustments.:
- Forni, Mario, et al, 2001.
"Coincident and Leading Indicators for the Euro Area,"
Royal Economic Society, vol. 111(471), pages C62-85, 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.
- 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. & Carree,M., 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).
- 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, 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," Boston College Working Papers in Economics 440, Boston College Department of Economics.
For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: (Marina Muilwijk).
If references are entirely missing, you can add them using this form.