The aim of this study was to analyze the mortality trend and to adjust a time series model for neoplastic skin diseases, from 1996 to 2012, in southern Brazil. To do so, conduct an ecological time series study using quarterly death data. The ARIMA Model (4,1,0) was the one that had the best fit for the date adopted and validated with date from 2013. It can be seen in this study that there is an increase in the number of deaths from skin cancer over time, How Which can be approved by the given model, and which can be helpful in planning public policies for intervention and / or prevention of skin cancer among the population of Southern Brazil.
resumo: Em razão da alta demanda mundial de bens intensivos em recursos naturais, nos anos recentes, este artigo objetiva averiguar, por meio da análise da balança comercial, como seu deu a inserção comercial da Argentina entre os anos 2000-2011. Usando os critérios de agregação setorial proposta pela Organização para a Cooperação e o Desenvolvimento Econômico (OCDE), quanto à classificação de intensidade tecnológica, se verificou que o crescente comércio argentino foi obtido de setores produtores de bens fora da indústria, e crescentes déficits comerciais em outros setores da economia. Estes resultados podem indicar uma possível desindustrialização da economia. palavras chaves: Desindustrialização, venda de intensidade comercial e tecnológica. abstract: Due to high global demand for goods intensive in natural resources, in recent years, this article aimed to measure, through the analysis of the trade balance, as Argentina' s economy, between the years 2000-2011. Using the sectoral aggregation proposed by the Organisation for Economic Co-Operation and Development (OECD), classification of technological intensity, it was established that the Argentine economy growing trade balances obtained for the sectors producing non-industrial goods, and growing trade deficits with the other sectors of the economy. These results may point to a possible de-industrialization of the economy.
The general objective of this work was to identify what were the determinants of soybean production increase in Brazil, between 1980 and 2015. This work uses the Self-Regressive Vector (VAR) methodology for the estimation of empirical models. Allow the obtaining of evidence capable of clarifying the question about the determinant factors of the soybean productivity in this period. They pointed evidences of a greater relation between the soybean productivity increase and the physicochemical innovations. In addition, as the data reveal, there is idle capacity to expand soybean production, as well as increased productivity for the coming years. The empirical analysis suggests that, in fact, soybean productivity in Brazil is increasing, as occurred in the forecast test performed in this study.
Modo de acesso: World Wide Web Inclui bibliografia 1. Gestão 2. Produção. 3. I. PEDROSA, Rafael Alves II. Título. CDD-658 Sônia Márcia Soares de Moura -CRB 6/1896 O conteúdo deste livro está licenciado sob a Licença de Atribuição Creative Commons 4.0. Com ela é permitido compartilhar o livro, devendo ser dado o devido crédito, não podendo ser utilizado para fins comerciais e nem ser alterada.O conteúdo dos artigos e seus dados em sua forma, correção e confiabilidade são de responsabilidade exclusiva dos seus respectivos autores. Baixe outros títulos gratuitamente em www.poisson.com.br
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