Um Modelo de análise regional para fins de planejamento econômico : integração de sistemas de regiões formais e funcionais
Palavras-chave:
Geografia econômica, Planejamento regional, Geografia regionalResumo
This paper is proposing to present an analysis model of spatial organization of a country, aiming the economic planning which, starting from a dichotomic conception of spatial process (formal region and functional region), could be of explicative and predictive character.
In its first part the A. has formed his opinion about the matter used in this article, trying to give it better methodological consistence. The regionalization is defined by attributes and relations, as production and distribution, that are fundamental process of economy. These two concepts, establishing inter-regional relations among structures and fluxes, are important to understand the regional development. And finally, being possible to observe the concrete interrelations in two discrete points between the two subsystems, would be useful for planning.
Then the A. follows discussing the model in its theoretic basis, that is the essence of the work. He presents several contributions, as from Nystuen and Dacey to Bryan Berry, passing by Brown, Gauthier and Michael Ray, in order to place the example which he presents as being of exploratory character and simplified, seeking rather to indicate the validity of the model than to present empiric results. He uses the functional distance as dependent variable (behavior matrix) and eight independent variables to define the attributes of places (structure matrix) . It is implicit in the model that the choice of relevant variables is essential for the success of its application.
As conclusion it becomes clear that the conception of the regionalization process described by two different matrices is important to the regional geographical theory, since it is possible the application of methods as of canonical correlation, which combines a causal model (regression) with other one of interrelations (factor analysis), having, for this reason, great importance for planning.