37 resultados para Blue Chip Economic Indicators


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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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The law's project n.676/2000 approved the collecting of billing water for farmers in a maximum foreseen value of US$ 0.01 m(-3) of extracted water in the São Paulo State. As the irrigated agriculture is the activity that consumes more water, the farmers profitability can be affected. This work was to analyze the economic impact of billing water in the aspersion irrigated bean crop to consider the system of conventional production and no tillage system in the Paranapanema municipal district, São Paulo State, Brazil. The indicators used to analyze the economic results were unit variable cost, market price and unit profitability. The results showed that for the aspersion irrigated bean crop in conventional system, the participation of cost to the recourse water in cost variable totality was of 2.5% and in no tillage system the participation was of 2.2%. The fall of profitability just the billing water in conventional crop system and in no tillage system was US$ 0.01 kg(-1).

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Patterns in the spatial and temporal composition, dominance and abundance of the phytoplankton community of the Jurumirim Reservoir (Brazil) were studied during one year at ten different sampling stations. The main phytoplankton associations were characterized by diatoms and blue-green algae, in distinctive patterns of dominance. The main species were Microcystis aeruginosa Kuetz, Anabaena circinalis Rabenhorst, A. spiroides Kleb., A. solitaria Kleb., Aulacoseira cf. italica Grunow and A. granulata (Ehr.) Simon. A high growth of Aulacoseira was observed in the upstream zones of the reservoir in spring, at the beginning of the seasonal rainy period. This growth was a response to increased flow rates and input of fresh nutrients by the main feeder rivers. A high concentration of blue-green algae, especially Anabaena circinalis and A. spiroides, was observed in winter (dry season) in the lacustrine part of the reservoir, towards the dam. These algae benefitted from the longer water retention times and greater internal circulation of nutrients in the absence of a thermocline at this time of the year. Among the Cyanophyceae, there was an alternation between M. aeruginosa, more abundant in summer, and Anabaena, dominant in autumn and winter. A conspicuous growth of Anabaena occurred in a diverticle of the reservoir, sheltered from the main advective processes that predominate in the central channel. Higher phytoplankton diversity was associated with the contact zone between riverine and lacustrine systems.

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In recent years, harvesting process of sugarcane is changing itself, passing through semi-mechanized for mechanized system, who, currently predominate in Sao Paulo state, Brazil. Mechanized harvesting consists in a sequence of operations which includes cutting the pointer and chopping the stalk. The straw is a harvesting residue, and it stays in the ground, piling up above soil, with a possible prejudice for crop yield. An economic way to retract this straw is using mechanized processing for bailing it, involving hay balers, which are imported to Brazil and their use require regularly field conditions of work. Those balers could produce square or round bales, which can be sold to energy generation. This study aims to estimate economic efficiency indicators of round and square systems for sugarcane straw, establishing a relationship between baling costs and the incoming generated from those bales. Based on data set, round baling system was 26% more efficient than square baling system, and that round baler has a lower purchase price and a higher compress ratio of biomass, allowing a greater potential for power generation, turning it a more advantageous in a possible marketing for bales produced. (C) 2014 Elsevier B.V. All rights reserved.

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The position of 125 countries is studied on the basis of a collection of 26 basic, health, economic and educational indicators. Multivariate statistical methods were used, including Cluster Analysis, Principal Component Analysis and Multivariate Analysis of Variance. The most discriminating variables were life expectancy the child mortality rate, the mortality rate of children of less than five years of age, the birth and fertility rates and the high-school female matriculation rate. The first principal component was interpreted as a measure of the living standard which made it possible to place the countries in order. Five clusters of countries are suggested.