This file is part of IDEAS, which uses RePEc data


[ Papers | Articles | Software | Books | Chapters | Authors | Institutions | JEL Classification | NEP reports | Search | New papers by email | Author registration | Rankings | Volunteers | FAQ | Blog | Help! ]

Regional determinants of FDI in China: A new approach with recent data

Author info | Abstract | Publisher info | Download info | Related research | Statistics
Author Info
Hein Roelfsema ()
Martijn Boermans
Yi Zhang ()

Additional information is available for the following registered author(s):

Abstract

We empirically investigate the factors that drive the uneven regional distribution of foreign direct investment (FDI) inflows to China.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 .factory of the world.. 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 Info
To download:

If you experience problems downloading a file, check if you have the proper application to view it first. Information about this may be contained in the File-Format links below. 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.

File URL: http://www.uu.nl/NL/faculteiten/rebo/organisatie/departementen/departementeconomie/onderzoek/publicaties/DiscussionPapers/Documents/09-23.pdf
File Format: application/pdf
File Function:
Download Restriction: no

Publisher Info
Paper provided by Utrecht School of Economics in its series Working Papers with number 09-23.

Download reference. The following formats are available: HTML (with abstract), plain text (with abstract), BibTeX, RIS (EndNote, RefMan, ProCite), ReDIF
Length: 32 pages
Date of creation: Sep 2009
Date of revision:
Handle: RePEc:use:tkiwps:0923

Contact details of provider:
Postal: 12 Janskerkhof, NL-3512 BL Utrecht
Phone: +31 30 253 9800
Fax: +31 30 253 7373
Email:
Web page: http://www.uu.nl/EN/faculties/leg/organisation/schools/schoolofeconomicsuse/Pages/default.aspx
More information through EDIRC

Order Information:
Email:

For technical questions regarding this item, or to correct its listing, contact: (Thijs Knaap).

Related research
Keywords: FDI; China; factors analysis; regional and spatial distribution of FDI; location choice;

Other versions of this item:

Find related papers by JEL classification:
F21 - International Economics - - International Factor Movements and International Business - - - International Investment; Long-Term Capital Movements
F23 - International Economics - - International Factor Movements and International Business - - - Multinational Firms; International Business
O18 - Economic Development, Technological Change, and Growth - - Economic Development - - - Regional, Urban, and Rural Analyses
O53 - Economic Development, Technological Change, and Growth - - Economywide Country Studies - - - Asia including Middle East
R11 - Urban, Rural, and Regional Economics - - General Regional Economics - - - Analysis of Growth, Development, and Changes

This paper has been announced in the following NEP Reports:

References listed on IDEAS
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.:
  1. Jushan Bai & Serena Ng, 2002. "Determining the Number of Factors in Approximate Factor Models," Econometrica, Econometric Society, vol. 70(1), pages 191-221, January. [Downloadable!] (restricted)
    Other versions:
Full references

Statistics
Access and download statistics

Did you know? You too can volunteer with RePEc.

This page was last updated on 2009-11-23.


This information is provided to you by IDEAS at the Department of Economics, College of Liberal Arts and Sciences, University of Connecticut using RePEc data on a server sponsored by the Society for Economic Dynamics.