Intrametropolitan FDI firm location in Guangzhou, China A Poisson and negative binomial analysis

Fulong Wu ()
Additional contact information
Fulong Wu: Department of Geography, University of Southampton, Hishfield, Southampton, SO17 1BJ, UK

The Annals of Regional Science, 1999, vol. 33, issue 4, 535-555

Abstract: As a novel type of industrial establishment in the era of globalization, foreign direct investment (FDI) has become a new driving force in the shaping of urban structure. To understand the current worldwide urban restructuring process, the location behaviour of FDI firms should be fully investigated. But few empirical studies on industrial location have been carried out at the intrametropolitan scale, probably due to the lack of disaggregated data and appropriate models. This study geo-references FDI firms by their postal codes and captures site attributes through cross-referencing firm distribution with other spatial coverage such as population statistics, land uses, and designated development zones. This paper argues for a Poisson and negative binomial model of firm location based on count-data and tests such a firm location model using the case of metropolitan Guangzhou, PRC. Results, in contrast to previous studies at the national and regional scales of this country, confirm that, at least statistically, intra-urban FDI firm location in the context of a transitional economy presents regularities that are explainable according to `rational' economic considerations of site suitability.

Date: 1999-11-25
Note: Received: July 1997/Accepted: April 1998
References: Add references at CitEc
Citations: View citations in EconPapers (28)

Downloads: (external link)
http://link.springer.de/link/service/journals/00168/papers/9033004/90330535.pdf (application/pdf)
Access to the full text of the articles in this series is restricted

Related works:
This item may be available elsewhere in EconPapers: Search for items with the same title.

Export reference: BibTeX RIS (EndNote, ProCite, RefMan) HTML/Text

Persistent link: https://EconPapers.repec.org/RePEc:spr:anresc:v:33:y:1999:i:4:p:535-555

Ordering information: This journal article can be ordered from
http://link.springer.com/journal/168

Access Statistics for this article

The Annals of Regional Science is currently edited by Martin Andersson, E. Kim and Janet E. Kohlhase

More articles in The Annals of Regional Science from Springer, Western Regional Science Association Contact information at EDIRC.
Bibliographic data for series maintained by Sonal Shukla () and Springer Nature Abstracting and Indexing ().