Esta pesquisa aborda a relação entre território e finanças. O objetivo é analisar a nova ordenação territorial das finanças no Brasil, entre 1996 e 2006, como esta ocorreu, quais foram os seus principais fatores de formação e suas conseqüências. A metodologia utilizada, pelo lado teórico, baseia-se na abordagem do David Harvey sobre os ajustes temporal e espacial, e ordenação espaço-temporal e na teoria Pós-keynesiana sobre finanças regionais. Pelo lado empírico, utiliza-se análises estatísticas do índice de concentração Herfindahl-Hirschman (IHH) e taxas de crescimento acumulado, bem como a análise de cartografia temática digital. A pesquisa mostrou que a nova ordenação territorial das finanças ocorreu sobretudo devido ao grande crescimento e expansão territorial das atividades de intermediação financeira. Sendo assim, os seus principais fatores de formação foram: a abertura financeira da década de 1990, a reestruturação do sistema bancário nacional, estabilidade da moeda, o aumento da demanda financeira regional de baixo volume e o avanço do meio técnico-científico-informacional. As principais conseqüências foram: a mudança na estrutura de composição do Sistema Financeiro Nacional, que passou a ter a atividade de intermediação financeira como principal atividade financeira do país e apesar da redução da concentração das finanças, esta não descentralizou as mesmas, como também não implicou na redução da concentração econômica do Brasil. / This research addresses the relationship between territory and finances. The objective is to analyze the new territorial configuration of finance in Brazil between 1996 and 2006, in particular, how it occurred, what were its main factors of formation and what were its consequences. The methodology, on the theoretical side, is based on the approach of David Harvey on the temporal and spatial adjustments, and space-time configuration, as well as post-Keynesian theory on regional finances. On the empirical side, it uses statistical analysis of the Herfindahl-Hirschman concentration Index (HHI) and aggregate growth rates, as well as the analysis of digital thematic cartography. The research showed that the new territorial organization of finance was largely due to strong growth and territorial expansion of the activities of financial intermediation. Therefore, its principle factors of formation were: the financial opening of the 1990s, the restructuring of the national banking system, monetary stability, increase of low-volume regional financial demand and the advancement of technical, scientific and informational means. The main consequences were: a change in the structure of the composition of the National Financial System, which now has the role of financial intermediation as the main financial activity of the country. Despite the lower concentration of finance, this development did not lead to a decentralization of finance, nor did it imply a reduction of the economic concentration in Brazil.

Esta pesquisa aborda a relação entre território e finanças. O objetivo é analisar a nova ordenação territorial das finanças no Brasil, entre 1996 e 2006, como esta ocorreu, quais foram os seus principais fatores de formação e suas conseqüências. A metodologia utilizada, pelo lado teórico, baseia-se na abordagem do David Harvey sobre os ajustes temporal e espacial, e ordenação espaço-temporal e na teoria Pós-keynesiana sobre finanças regionais. Pelo lado empírico, utiliza-se análises estatísticas do índice de concentração Herfindahl-Hirschman (IHH) e taxas de crescimento acumulado, bem como a análise de cartografia temática digital. A pesquisa mostrou que a nova ordenação territorial das finanças ocorreu sobretudo devido ao grande crescimento e expansão territorial das atividades de intermediação financeira. Sendo assim, os seus principais fatores de formação foram: a abertura financeira da década de 1990, a reestruturação do sistema bancário nacional, estabilidade da moeda, o aumento da demanda financeira regional de baixo volume e o avanço do meio técnico-científico-informacional. As principais conseqüências foram: a mudança na estrutura de composição do Sistema Financeiro Nacional, que passou a ter a atividade de intermediação financeira como principal atividade financeira do país e apesar da redução da concentração das finanças, esta não descentralizou as mesmas, como também não implicou na redução da concentração econômica do Brasil. / This research addresses the relationship between territory and finances. The objective is to analyze the new territorial configuration of finance in Brazil between 1996 and 2006, in particular, how it occurred, what were its main factors of formation and what were its consequences. The methodology, on the theoretical side, is based on the approach of David Harvey on the temporal and spatial adjustments, and space-time configuration, as well as post-Keynesian theory on regional finances. On the empirical side, it uses statistical analysis of the Herfindahl-Hirschman concentration Index (HHI) and aggregate growth rates, as well as the analysis of digital thematic cartography. The research showed that the new territorial organization of finance was largely due to strong growth and territorial expansion of the activities of financial intermediation. Therefore, its principle factors of formation were: the financial opening of the 1990s, the restructuring of the national banking system, monetary stability, increase of low-volume regional financial demand and the advancement of technical, scientific and informational means. The main consequences were: a change in the structure of the composition of the National Financial System, which now has the role of financial intermediation as the main financial activity of the country. Despite the lower concentration of finance, this development did not lead to a decentralization of finance, nor did it imply a reduction of the economic concentration in Brazil.

The Mississippi Institute for Forest Inventory (MIFI) multi-product forest inventory divides Mississippi into five inventory regions with one region inventoried each year on a rotating basis. Resource analyses that overlap these temporally separated regions require adjustment to a common comparative time base by applying appropriate forest stand growth and harvest allocation models to the portions of a selected area not inventoried at the desired common time base. Currently the Mississippi Dynamic Inventory Reporter (MDIR) does not make adjustments to temporally synchronize portions of user selected working circles, polygons, or counties that occur in separate inventory regions. Separate inventory reports for each overlap area must be prepared to which growth and harvest are manually allocated to bring each area to the same point in time. The study objective was to provide an automated solution to temporal reconciliation by developing a growth and yield system that reconciles modeled timber volume growth, mortality, and harvests with known values from previous successive inventories and state tax records of harvested volumes at the county level. The modeling effort focused on constructing an optimized system for the Southwest MIFI 2004 and 2012 inventories. Species group specific, distance independent, tree-list models, including probability of survival and diameter growth equations, were developed through logistic and linear regressions, respectively. Probability of survival models were assessed for model performance using logistic regression concordant/discordant pairs. R2 and parameter p-values were used to evaluate diameter growth model performance. As the 2004 and 2012 datasets are each composed of randomly selected plots within the Southwest region, county totals were used for temporal comparison. County level Doyle volume calibration was within 150 units of tolerance for all counties in the Southwest region. The resulting growth and yield system represents a successful effort to develop a methodology for bridging temporally separated MIFI inventory analyses, while providing newly developed diameter and mortality equations for the state. The accompanying computer application allows the addition of both enhanced growth and yield and stand table projection models. System implementation will greatly reduce the time required for producing multi-temporal analyses and, thus, increase their usability and functionality.