“…The area-based groupings move the analysis towards the location-choice problem. That is probably better cast statistically however as a logit or a probit model (as for example, Erikson and Wasylenko, 1980;Lee, 1982;Cooke, 1983), using a data set which includes the characteristics of the area and the site chosen as well as the plant and company characteristics. One possible allied development of this analysis would be to mix the two data sets together, linking plant characteristics and location pull factors.…”
Industrial location surveys typically generate large data sets with information on the characteristics of the companies and plants involved as well as on the relative importance of different locational push and pull factors. Since for the majority of companies locational choice results from the consideration of a range of factors, discriminant analysis can be used to reveal the important groupings of factors which distinguish the choices made by alternative subgroups of firms in a sample or population. This paper uses the results of the 581-firm 1980 Sao Paulo industrial location survey to examine some of the issues and specification choices which arise in using the discriminant model for this purpose. The results presented highlight the plant characteristics and the locational pull factors which distinguish industrial moves from the Sao Paulo metropolitan area out to surrounding cities from moves within the area.
“…The area-based groupings move the analysis towards the location-choice problem. That is probably better cast statistically however as a logit or a probit model (as for example, Erikson and Wasylenko, 1980;Lee, 1982;Cooke, 1983), using a data set which includes the characteristics of the area and the site chosen as well as the plant and company characteristics. One possible allied development of this analysis would be to mix the two data sets together, linking plant characteristics and location pull factors.…”
Industrial location surveys typically generate large data sets with information on the characteristics of the companies and plants involved as well as on the relative importance of different locational push and pull factors. Since for the majority of companies locational choice results from the consideration of a range of factors, discriminant analysis can be used to reveal the important groupings of factors which distinguish the choices made by alternative subgroups of firms in a sample or population. This paper uses the results of the 581-firm 1980 Sao Paulo industrial location survey to examine some of the issues and specification choices which arise in using the discriminant model for this purpose. The results presented highlight the plant characteristics and the locational pull factors which distinguish industrial moves from the Sao Paulo metropolitan area out to surrounding cities from moves within the area.
“…In other words, we assume 40 S. Kittiprapas and P. McCann 8 Similar derivations of pro® t maximization for logit estimation in location problems are also found in Lee (1982Lee ( , 1990.…”
Section: I a Theoretical Model Of The Firm' S Locati On Choi Cementioning
The paper investigates the location behaviour of firms in the electronics industry in Thailand. Our approach is to use a logit model in order to analyse how the characteristics of the firms and the regions are related to the location decisions of firms in these sectors. The logit results throw some light on the question of the nature of agglomeration behaviour in a developing economy in which the national spatial industrial structure is dominated by a single primal city. Our conclusions provide tentative support for a product-cycle argument of industrial concentration and dispersion.
“…In turn, this necessitates an understanding of trends in urban development and particularly of the location behaviour of firms in response to the operations of land and other markets (Lee, 1982a(Lee, , 1985(Lee, , 1989. The World Bank study on Bogota furnishes useful policy insights into the the intra-urban location patterns of employment and the components of changing manufacturing employment in a developing metropolis.…”
Section: Decentralization and The Location Of Jobsmentioning
In the context of South African debates concerning inward industrialization and orderly urbanization planning, Colombia provides a highly relevant case study for policy analysts. During the 1970s Colombia implemented a bold strategy of "development through urbanization" using urban construction as a leading sector for national economic expansion and linked to innovative urban design proposals for compact "cities within cities". In addition, Bogota is viewed as one of the "success stories" in the developing world as regards the orderly management of a phase of rapid urban growth. Of particular interest for South African analysts is the functioning of 'pirate urbanization' and the widespread provision of services for the poor in Bogota. Current debates on urbanization and urban policy in South Africa can be informed fruitfully by aspects of the Colombian record.
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