988 resultados para Abordagem dialógica


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The fiscal policies of national governments are an important instrument of economic policy, as they contribute directly or indirectly to growth and economic development. Since Keynes, the utilization of active fiscal policy is unavoidable during periods of crisis, especially a policy of public investment spending aimed at reducing macroeconomic uncertainty. In the same way, Abba Lerner and functional finances indicate the use of fiscal policy in favor of macroeconomic stability, and not according to a single objective of seeking equilibrium in the public accounts. However, at the present time, the debate on fiscal policy is not sufficient to guarantee public sector financial equilibrium. The article picks up on the contributions of Keynes and Abba Lerner regarding the importance of the public budget in economic activity, and discusses the present scenario for fiscal policy.

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This paper presents a method applied to the seacoast town of Peruibe, São Paulo State, Brazil. The method encompasses the application of remote sensing interpretation techniques and field survey to obtain geotechnical data and thus generate cartographic products composed of easily grouped units that work as database objects and can de used to assist geotechnical zoning. The so-called Compartmentalization Basic Units (CBUs) show the smallest land surface analyzed from its physiographic elements and have in their cores the same geotechnical properties, making it easier to analyze the potentialities and the fragilities of the physical environment and its susceptibility to the action of natural and anthropic processes. In the study area, sixty-eight units were individualized in which geotechnical properties were inferred by photo interpretation criteria, using textural properties of the image adjusted with field observations. The method proved to be easily reproducible, and is especially useful in regions where the absence of basic maps makes it impossible to establish homogeneous zones through traditional overlay of different topic informations.

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The growth of large cities is usually accelerated and disorganized, which causes social, economical and infrastructural conflicts and frequently, occupation in illegal areas. For a better administration of these areas, the public manager needs information about their location. This information can be obtained through land utilization and land cover maps, where orbital images of remote sensing are used as one of the most traditional sources of data. In this context, the present work tested the applicability of the object-based classification to categorize two slum areas, taking into account the structure of the streets, size of the huts, distance between the houses, among other parameters. These area combinations of physical aspects were analyzed using the image IKONOS II and the software eCognition. Slum areas tend to be, to the contrary of the planned areas, disarranged, with narrow streets, small houses built with a variety of materials and without definition of blocks. The results of land cover classification for slum areas are encouraging because they are accurate and little ambiguous in the classification process. Thus, it would allow its utilization by urban managers.

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The search for a dialogical interpretation on the concept theory is the purpose of this paper. It uses the concept of dialogism, proposed by Bakhtin, which refers to the interaction occurring among the social actors in the process of (re)construction of language. Starting from the analysis of texts on concept theory authored by Dahlberg, Hjorland, Tennis and Tennis and Sutton, the convergent, divergent and complementary aspects related to the concepts advocated by the authors are discussed. The analysis revealed that, although these concepts have been built individually, they are reflections of distinct currents of thought and of the historical moments that have influenced each author's ideas. It can be argued, therefore, that the studied concepts were developed on dialogue with other authors and among themselves.

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Current research compares the Bayesian estimates obtained for the parameters of processes of ARCH family with normal and Student's t distributions for the conditional distribution of the return series. A non-informative prior distribution was adopted and a reparameterization of models under analysis was taken into account to map parameters' space into real space. The procedure adopts a normal prior distribution for the transformed parameters. The posterior summaries were obtained by Monte Carlo Markov Chain (MCMC) simulation methods. The methodology was evaluated by a series of Bovespa Index returns and the predictive ordinate criterion was employed to select the best adjustment model to the data. Results show that, as a rule, the proposed Bayesian approach provides satisfactory estimates and that the GARCH process with Student's t distribution adjusted better to the data.

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Coordenação de Aperfeiçoamento de Pessoal de Nível Superior (CAPES)

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Fundação de Amparo à Pesquisa do Estado de São Paulo (FAPESP)

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Pós-graduação em Geografia - IGCE

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Fundação de Amparo à Pesquisa do Estado de São Paulo (FAPESP)

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Fundação de Amparo à Pesquisa do Estado de São Paulo (FAPESP)

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Fundação de Amparo à Pesquisa do Estado de São Paulo (FAPESP)

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Pós-graduação em Estudos Linguísticos - IBILCE

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Pós-graduação em Estudos Linguísticos - IBILCE

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Coordenação de Aperfeiçoamento de Pessoal de Nível Superior (CAPES)

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Coordenação de Aperfeiçoamento de Pessoal de Nível Superior (CAPES)