960 resultados para internal rate of return


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Coordenação de Aperfeiçoamento de Pessoal de Nível Superior (CAPES)

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Pós-graduação em Aquicultura - FCAV

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Pós-graduação em Agronomia (Energia na Agricultura) - FCA

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Pós-graduação em Agronomia (Energia na Agricultura) - FCA

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Segundo dados do PRODES/INPE (2008), de 1988 a 2008, 369.154 km² foram desmatados na Amazônia Legal, uma média anual de 17.578 km². Este processo tem sido impulsionado, principalmente, pela expansão da pecuária e da agricultura. Diversas políticas tem sido criadas para reduzir desmatamento. Sendo estas orientadas, geralmente, por instrumentos de comando e controle. Uma recente inovação, entretanto, tem sido a busca de melhoria da qualidade ambiental em médias e grandes propriedades através da introdução de Boas Práticas Agropecuárias (BPA). Baseado nisso, este trabalho tem por objetivo analisar se a introdução de BPA em propriedades sojicultoras e pecuaristas de médio e grande porte do nordeste mato-grossense representa uma alternativa viável financeiramente. A pesquisa foi realizada em cinco municípios localizados ao nordeste do estado do Mato Grosso, na bacia do rio Xingu: Água Boa, Canarana, Querência, Bom Jesus do Araguaia e São Félix do Araguaia. Primeiramente, foram levantados dados detalhados das características das atividades na região de estudo, para isso foram entrevistados 40 fazendeiros (20 de pecuária e 20 de soja). A segunda etapa levantou os dados de custo de adoção de boas práticas em 14 propriedades sojicultoras e pecuaristas pertencentes ao Cadastro de Compromisso Sócio-Ambiental (CCS) da Aliança da Terra (AT)/ Instituto de Pesquisa Ambiental da Amazônia (IPAM). Para análise de viabilidade financeira das Boas Práticas, utilizou-se de três instrumentais: a rentabilidade simples, o valor presente líquido (VPL) e a taxa interna de retorno. Os resultados mostraram que as BPA são passíveis de implementação, mas há uma perda financeira para o produtor quando opta por adotar BPA. No entanto, possibilidades de ganhos com adoção de BPA (como o recebimento por REDD, aumento de produtividade, aumento do preço de venda, dentre outros) podem reduzir estas “perdas” e até igualar os ganhos à produção sem BPA.

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Pós-graduação em Engenharia Mecânica - FEG

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Pós-graduação em Engenharia Mecânica - FEIS

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Pós-graduação em Agronomia - FEIS

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The availability of the electrical energy, in sufficient quantities and in competitive prices is a crucial factor to the economic development. The trade-in of the excess electrical energy produced in a system of cogeneration can be seen as an alternative to the creation of an additional source of revenues for ethanol power plants sector, besides contributing to the complementation of the Brazilian electrical headquarter with renewable sources. The objective of this study was to evaluate the economic feasibility of the implementation of a cogeneration electrical central using the excess of sugar cane bagasse and selling the excess of electrical energy with prices of the market. An ethanol power plant located in the state of Sao Paulo was used to this study. It was used the case study methodology, evaluating the potential of the investment under the viewpoint of the Net Present Value (NPV), Payback and Internal Rate of Return (IRR), and complementing the results of the Accounting Results (AC). It was created three alternative scenarios to reflect the level of the risk of every studied situation: the most likely, an optimistic and a pessimistic, each one with its assumptions. The Monte Carlo Simulations was used to insert the elements of risk to each scenario. The results showed that the project is feasible in all NPV scenarios. And the Payback and IRR analysis confirmed these evidences. The valuation with the AR showed that the project is most risky at the pessimistic scenario, but is feasibly in the most likely and the optimistic scenarios. It was concluded that the project is economic viable. However, the economic viability shown in the results is based on the maintenance of the future prices on the levels of the historical prices used in the analysis.

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The automobile industry shows relevance inside the Brazilian industrial scenario since it contributes with the development of a significant chain of supply, distributors, workshops, publicity agencies and insurance companies in the internal market, aside from being one of the five biggest worldwide market. Thereby, the federal government decreed in Dec, 17th 2012 by Law nº 12.715 the Inovar-Auto Program. As the Adjusted Present Value (APV) is highly recommended, although not yet widespread to public politics of tax reduction, this work intends to apply the APV method on the cash flow analysis of an automobile sector's company, which has recently installed in national territory and wants to rely with governmental incentives proposed by Inovar-Auto Program. The developed work evaluates the company's current cash flow stochastically from mathematical modeling of variables such as price, demand and interest rate through probability distributions with the assist of Crystal Ball software, a Microsoft Excel Add-in, generating different scenarios from Monte Carlo Simulation. As results probabilities situations have been evaluated until the end of the Inovar-Auto's conducted period, in 2017. Beside APV others indicator such as Internal Rate of Return (IRR) and payback period were estimated for the investment project. For APV a sampling distribution with only 0.057% of risk, IRR of 29% were obtained and estimated project payback period was 4.13 years

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The automobile industry shows relevance inside the Brazilian industrial scenario since it contributes with the development of a significant chain of supply, distributors, workshops, publicity agencies and insurance companies in the internal market, aside from being one of the five biggest worldwide market. Thereby, the federal government decreed in Dec, 17th 2012 by Law nº 12.715 the Inovar-Auto Program. As the Adjusted Present Value (APV) is highly recommended, although not yet widespread to public politics of tax reduction, this work intends to apply the APV method on the cash flow analysis of an automobile sector's company, which has recently installed in national territory and wants to rely with governmental incentives proposed by Inovar-Auto Program. The developed work evaluates the company's current cash flow stochastically from mathematical modeling of variables such as price, demand and interest rate through probability distributions with the assist of Crystal Ball software, a Microsoft Excel Add-in, generating different scenarios from Monte Carlo Simulation. As results probabilities situations have been evaluated until the end of the Inovar-Auto's conducted period, in 2017. Beside APV others indicator such as Internal Rate of Return (IRR) and payback period were estimated for the investment project. For APV a sampling distribution with only 0.057% of risk, IRR of 29% were obtained and estimated project payback period was 4.13 years

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Se determinó la rentabilidad del feedlot bajo distintos escenarios productivos y económicos para la situación de precios del ganado vigentes en 2009 y 2010. La información básica provino de encuestas en feedlots, entrevistas con informantes clave y consulta bibliográfica. La tasa interna de retorno y el valor actual neto se estimaron considerando un costo de oportunidad del capital del 12% anual. El capital total varió en función de la adquisición total o producción parcial de alimentos para el ganado. Los ingresos para 3.000 animales año-1 se incrementaron 50% en 2010 respecto de 2009. Durante 2009, sin compensaciones, no existió rentabilidad al adquirir los alimentos. Se obtuvo rentabilidad sin compensaciones con aumentos del 5, 10 y 15% en inversiones y gastos operativos con producciones de 4.466, 6.214 y 9.670 animales año-1, respectivamente, al adquirir el alimento y con 2.110, 2.430 y 2.880 animales año-1 con producción del mismo. Los precios de la hacienda de 2010 con respecto a los de 2009 aumentaron la rentabilidad tanto al adquirir como al producir alimentos sin dependencia del cobro de compensaciones. Con 2.300 y 1.500 animales año-1 para las situaciones de alimento adquirido y producido, respectivamente, se alcanza rentabilidad con los precios del ganado de 2010. Se comprobó la hipótesis que la rentabilidad depende de la escala productiva y su interrelación con los escenarios contemplados.