The purpose of this article is to investigate the geographic distribution of the Brazilian industrial sectors over the last three decades. The Gini and Venables Indices are used to measure the concentration. In the latter, the distance between the states is taken into account in measuring this concentration. The industrial sectors are separated into three groups using the K-means method of clustering in which the variables used are the principal components of the characteristics of the industries. By using an internal product, the State Characteristic Bias (SCB), the type of states in which the industrial sectors are being concentrated or not can be observed. In order to visualize which characteristics of the states and of the industries-and their respective interactions-influence the location of the industrial sectors within Brazil, an econometric cross-section model proposed by Midelfart-Knarvik, et al. (2000) is established for the Brazilian case. The main results show that heavy investment in infrastructure in the 1970s and the opening of trade in the 1990s played an important role in the location of Brazilian industry.
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.
Length: Date of creation: 2004 Date of revision: Handle: RePEc:anp:en2004:115
Contact details of provider: Postal: Secretaria da ANPEC Rua Tiradentes, 17 - Ingá Niterói, RJ 24210-510 Brazil Phone: 55 21 2621 1802 Fax: 55-11-3091-6073 Email: Web page: http://www.anpec.org.br More information through EDIRC
Order Information: Postal: Secretaria da ANPEC Rua Tiradentes, 17 - Ingá Niterói, RJ 24210-510 Brazil
For technical questions regarding this item, or to correct its listing, contact: (Hugo E. A. da Gama Cerqueira) The email address of this maintainer does not seem to be valid anymore. Please ask Hugo E. A. da Gama Cerqueira to update the entry or send us the correct address..
Related research
Keywords:
Find related papers by JEL classification: R12 - Urban, Rural, and Regional Economics - - General Regional Economics - - - Size and Spatial Distributions of Regional Economic Activity; Interregional Trade (economic geography) R15 - Urban, Rural, and Regional Economics - - General Regional Economics - - - Econometric and Input-Output Models; Other Methods