Artigos Científicos - ICSA
URI Permanente para esta coleçãohttps://repositorio.ufpa.br/handle/2011/2480
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Artigo de Periódico Acesso aberto (Open Access) Impactos do Crédito Rural na produtividade da terra e do trabalho nas regiões brasileiras(2013-09) SANTOS, Ricardo Bruno Nascimento dos; BRAGA, Marcelo JoséThe objective of this paper is to measure the impacts of farm credit on the productivity of the land and labor in Brazilian regions. The methodological approach is based on credit constraint model and propensity score matching. Micro data from the 2006 agricultural census are used. Results show that credit is not effective to improve the productivity of the factors in agricultural sector, except in the Northeast region. Finally, these results emphasize the need of improvements in farm credit policy of Brazil.Artigo de Periódico Acesso aberto (Open Access) Um indicador comparativo de pobreza multidimensional a partir dos objetivos do desenvolvimento do milênio(2009-09) DINIZ, Marcelo Bentes; DINIZ, Marcos MonteiroFrom the theoretical of Capability Approach and having as methodological reference the Fuzzy Sets technique this article presents an index-synthesis of multidimensional poverty for the Brazilian states. However, differently from other studies, the contribution of this article is to diminish the degree of arbitrariness in choosing levels poverty dimensions, being considered the attainment of the Millennium Development Goals (PNUD, 2003). The results point to a well definite space delimitation in the country, with the states of the regions North and Northeast placing themselves among the ten highest indices, with the exception of the CityRio Grande do PlaceNameplaceSul PlaceTypeState.Artigo de Periódico Acesso aberto (Open Access) Modelos de índice de difusão para prever a taxa de crescimento do PIB agrícola brasileiro(2012-04) FERREIRA, Roberto Tatiwa; OLIVEIRA JÚNIOR, José Nilo de; CASTELAR, Luiz Ivan de MeloThis article uses linear and nonlinear diffusion index models to forecast, one step ahead, the quarterly growth rate of Brazilian Agricultural GDP. These models are composed by common factor which allow a significant reduction in the number of the original explanatory variables. After comparing the forecasts of these two models between themselves and with the ones generated by an AR model, used as benchmark, one comes to the conclusion that among the diffusion index models, the nonlinear model with a threshold effect presents a small improvement, in terms of predictive efficiency, in relation to the linear and the AR models.