873 resultados para Product cost model
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The paper extends the cost of altruism model, analyzed in Lisboa (1999). There are three types of agents: households, providers of a service and insurance companies. Households have uncertainty about future leveIs of income. Providers, if hired by a household, have to choose a non-observable leveI of effort, perform a diagnoses and privately learn a signal. For each signal there is a procedure that maximizes the likelihood of the household obtaining the good state of nature. Finally, insurance companies offer contracts to both providers and households. The paper provides suflicient conditions for the existence of equilibrium and shows the optimal contract induces providers to care about their income and also about the likelihood households will obtain the good state of nature, which in Lisboa (1999) was stated as altruism assumption. Equilibrium is inefficient in comparison with the standard moral hazard outcome whenever high leveIs of effort is chosen precisely due to the need to incentive providers to choose the least expensive treatment for some signals. We show, however that an equilibrium is always constrained optimal.
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I study the welfare cost of inflation and the effect on prices after a permanent increase in the interest rate. In the steady state, the real money demand is homogeneous of degree one in income and its interest-rate elasticity is approximately equal to −1/2. Consumers are indifferent between an economy with 10% p.a. inflation and one with zero inflation if their income is 1% higher in the first economy. A permanent increase in the interest rate makes the price level to drop initially and inflation to adjust slowly to its steady state level.
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This paper illustrates the use of the marginal cost of public funds concept in three contexts. First, we extend Parry’s (2003) analysis of the efficiency effects excise taxes in the U.K., primarily by incorporating the distortion caused by imperfect competition in the cigarette market and distinguishing between the MCFs for per unit and ad valorem taxes on cigarettes. Our computations show, contrary to the standard result in the literature, that the per unit tax on cigarettes has a slightly lower MCF than the ad valorem tax on cigarettes. Second, we calculate the MCF for a payroll tax in a labour market with involuntary unemployment, using the Shapiro and Stiglitz (1984) efficiency wage model as our framework. Our computations, based on Canadian labour market data, indicate that incorporating the distortion caused by involuntary unemployment raises the MCF by 25 to 50 percent. Third, we derive expressions for the distributionally-weighted MCFs for the exemption level and the marginal tax rate for a “flat tax”, such as the one that has been adopted by the province of Alberta. This allows us to develop a restricted, but tractable, version of the optimal income tax problem. Computations indicate that the optimal marginal tax rate may be quite high, even with relatively modest pro-poor distributional preferences.
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An expression for the welfare cost of a marginal increase in the public debt is derived using a simple AK endogenous growth model. This measure of the marginal cost of public funds (MCF) can be interpreted as the marginal benefit-cost ratio that a debtfinanced public project needs in order to generate a net social gain. The model predicts an increase in the public debt ratio will have little effect on the optimal public expenditure ratio and that most of the adjustment will occur on the tax side of the budget.
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A economia compartilhada teve origem na década de 1990 nos Estados Unidos impulsionada pelos avanços tecnológicos que propiciaram a redução dos custos das transações on-line peer-to-peer (SHIRKY, 2008), viabilizando a criação de novos modelos de negócio baseados na troca e no compartilhamento de bens e serviços entre pessoas desconhecidas (SCHOR, 2015). A economia compartilhada é constituída por práticas comerciais que possibilitam o acesso a bens e serviços, sem que haja, necessariamente, a aquisição de um produto ou troca monetária (BOTSMAN; ROGERS, 2011). Atualmente, a economia compartilhada está tomando forma no Brasil, por meio da expansão de modelos de negócio que visam ao compartilhamento, à troca e à revenda de produtos e serviços. Assim, objetivando expandir o conhecimento sobre este fenômeno econômico, realizou-se um estudo de caso múltiplo em quatro empresas representantes dessa economia, com o objetivo de conhecer os seus modelos de negócio, enfatizando uma abordagem holística para compreender como essas organizações realizam seus negócios (ZOTT; AMIT; MASSA, 2011). Como resultado deste estudo, constata-se que a economia compartilhada abrange uma extensa gama de modelos de negócio (SCHOR, 2014), dentre os quatro casos estudados foram observados três modelos de negócio distintos. Ademais, por meio dos casos estudados, evidencia-se que as empresas da economia compartilhada tendem a desenvolver sinergias com empresas da economia tradicional para garantir sua sustentabilidade, visto que, das quatro empresas estudadas, três já estão desenvolvendo transações business-to-business com parceiros da economia tradicional, constatando-se assim o surgimento de uma economia híbrida constituída pelo mercado capitalista e pelas iniciativas de compartilhamento (RIFKIN, 2014). Todavia, verifica-se que a aproximação com empresas tradicionais não significa o abandono da essência de compartilhamento e sustentabilidade socioambiental, inerentes às propostas de valor das atividades da economia compartilhada.
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Qual o efeito de eleições em ativos reais? É possível mensurar diretamente a diferença de preços mesmo que só possamos enxergar um dos resultados potenciais? Essa dissertação estima esses efeitos utilizando metodologia baseada em opções sobre ações. O modelo aqui desenvolvido adaptção tradicional Black-Scholes para incorporar dois novos parâmetros: um salto no preço do ativo perfeitamente antecipado e uma série de probabilidades diárias refletindo as crenças sobre quem venceria a corrida eleitoral. Aplicamos esse método para o caso brasileiro das Eleições Presidenciais de 2014 e a Petrobras - uma importante companhia do setor petrolífero do país -utilizando dados de bolsa do segundo turno das eleições. Os resultados encontrados mostram uma diferença de 65-77% para o valor da companhia, dependendo de quem vencesse nas urnas. Isso é equivalente a aproximadamente 2.5% do PIB de 2014 do país.
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Biosurfactants are bioactive agents that can be produced by many different microorganisms. Among those, special attention is given to yeasts, since they can produce many types of biosurfactants in large scale, using several kinds of substrates, justifying its use for industrial production of those products. For this production to be economically viable, the use of residual carbon sources is recommended. The present study isolated yeasts from soil contaminated with petroleum oil hydrocarbons and assessed their capacity for producing biosurfactants in low cost substrates. From a microbial consortium enriched, seven yeasts were isolated, all showing potential for producing biosurfactants in soybean oil. The isolate LBPF 3, characterized as Candida antarctica, obtained the highest levels of production - with a final production of 13.86 g/L. The isolate LBPF 9, using glycerol carbon source, obtained the highest reduction in surface tension in the growth medium: approximately 43% of reduction after 24 hours of incubation. The products obtained by the isolates presented surfactant activity, which reduced water surface tension to values that varied from 34 mN/m, obtained from the product of isolates LBPF 3 and 16 LBPF 7 (respectively characterized as Candida antarctica and Candida albicans) to 43 mN/m from the isolate LPPF 9, using glycerol as substrate. The assessed isolates all showed potential for the production of biosurfactants in conventional sources of carbon as well as in agroindustrial residue, especially in glycerol.
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Introduction. Leaf area is often related to plant growth, development, physiology and yield. Many non-destructive models have been proposed for leaf area estimation of several plant genotypes, demonstrating that leaf length, leaf width and leaf area are closely correlated. Thus, the objective of our study was to develop a reliable model for leaf area estimation from linear measurements of leaf dimensions for citrus genotypes. Materials and methods. Leaves of citrus genotypes were harvested, and their dimensions (length, width and area) were measured. Values of leaf area were regressed against length, width, the square of length, the square of width and the product (length x width). The most accurate equations, either linear or second-order polynomial, were regressed again with a new data set; then the most reliable equation was defined. Results and discussion. The first analysis showed that the variables length, width and the square of length gave better results in second-order polynomial equations, while the linear equations were more suitable and accurate when the width and the product (length x width) were used. When these equations were regressed with the new data set, the coefficient of determination (R(2)) and the agreement index 'd' were higher for the one that used the variable product (length x width), while the Mean Absolute Percentage Error was lower. Conclusion. The product of the simple leaf dimensions (length x width) can provide a reliable and simple non-destructive model for leaf area estimation across citrus genotypes.
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The pursuit of competitive advantage is lobbying organizations to strategically plan the use of their material, human, technological and financial resources, so that it s possible to add value to the product, even when it is considered a commodity. The scenario for this planning should not be limited to the company in question, but cover an entire supply chain, which is composed of several organizations which have common goals of growth and sustainability of the market. They should form trade links, integrating the chains of individual values, in a perspective of value system. In this supply chain there is a flow of services, payments and information, as products well as. The training of these links can be supported by the adoption of a set of information technology, here called solutions business-to-business (B2B), which will be responsible for the production, storage and distribution of relevant information to business transactions between the companies involved. On this view, this thesis aims to describe the B2B solutions adopted in the downstream segment of the supply chain of a distributor of fuel and the nature of these technologies as well as their impact on the creation of value for business and optimization of the relationship between companies. This is a case study on a national distributor of fuels, from a model of research produced under the influence of theories of integrated logistics system and value of Michael Porter. The analyses came to the conclusion that information technology is perceived as an essential tool to the operation of all activities carried out by the company. Among them, at was also brought the key activities of integrated logistics: administration of applications, inventory management, management transport and customer services, which were highlighted in this study. It was also noticed that even these activities are, in principle, purely operational; they all had in the adoption of strategies for leadership in cost or differentiation, supported by B2B solutions identified, making it more conducive to business and direct customer, the clinic reseller of fuel, to obtain value and benefits of this market segment as competitive
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In energy systems, the balance of entrances, exits and losses are fundamental to rationalize the energy consumption, independently of the source (sun, natural gas, wind, water, firewood or oil). This estimate is important so much in the phase of project of the facilities, as in the exploration or operation. In the project phase it indicates the energy needs of the process and the contribution of the energy in the cost of the product and the capacity of storage of the fuel and in the operation phase it allows to evaluate the use of the energy in the process of it burns, showing the weak points that should suffer intervention to improve the efficiency. With this tool, it can be implemented routines of calculation of thermal balances in ovens of it burns of structural ceramic, in way to generate an optimized mathematical model for application in the current and promising structural ceramic brazilian industry. The ceramic oven in study is located in the metropolitan area of Natal (Rio Grande do Norte) and it is a continuous oven of the type wagons tunnel, converted of firewood for natural gas and it produces blocks of red ceramic. The energy balance was applied in the oven tunnel before and after the conversion and made the comparisons of the energy efficiencies (it burns to the firewood and it burns to natural gas), what showed that the gaseous fuel is more efficient when we burn structural ceramic in ovens tunnels. When we burn natural gas, the requested energy is smaller and better used. Tests were accomplished in the burned product that showed the best quality of the burned brick with natural gas. That quality improvement makes possible to accomplish new interventions for the most rational use of the energy in the oven tunnel of the Ceramic in study and in the industries of structural ceramic of the whole Brazil, that need control tools of burning and of quality
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Natural gas, although basically composed by light hydrocarbons, also presents contaminant gases in its composition, such as CO2 (carbon dioxide) and H2S (hydrogen sulfide). The H2S, which commonly occurs in oil and gas exploration and production activities, causes damages in oil and natural gas pipelines. Consequently, the removal of hydrogen sulfide gas will result in an important reduction in operating costs. Also, it is essential to consider the better quality of the oil to be processed in the refinery, thus resulting in benefits in economic, environmental and social areas. All this facts demonstrate the need for the development and improvement in hydrogen sulfide scavengers. Currently, the oil industry uses several processes for hydrogen sulfide removal from natural gas. However, these processes produce amine derivatives which can cause damage in distillation towers, can cause clogging of pipelines by formation of insoluble precipitates, and also produce residues with great environmental impact. Therefore, it is of great importance the obtaining of a stable system, in inorganic or organic reaction media, able to remove hydrogen sulfide without formation of by-products that can affect the quality and cost of natural gas processing, transport, and distribution steps. Seeking the study, evaluation and modeling of mass transfer and kinetics of hydrogen removal, in this study it was used an absorption column packed with Raschig rings, where the natural gas, with H2S as contaminant, passed through an aqueous solution of inorganic compounds as stagnant liquid, being this contaminant gas absorbed by the liquid phase. This absorption column was coupled with a H2S detection system, with interface with a computer. The data and the model equations were solved by the least squares method, modified by Levemberg-Marquardt. In this study, in addition to the water, it were used the following solutions: sodium hydroxide, potassium permanganate, ferric chloride, copper sulfate, zinc chloride, potassium chromate, and manganese sulfate, all at low concentrations (»10 ppm). These solutions were used looking for the evaluation of the interference between absorption physical and chemical parameters, or even to get a better mass transfer coefficient, as in mixing reactors and absorption columns operating in counterflow. In this context, the evaluation of H2S removal arises as a valuable procedure for the treatment of natural gas and destination of process by-products. The study of the obtained absorption curves makes possible to determine the mass transfer predominant stage in the involved processes, the mass transfer volumetric coefficients, and the equilibrium concentrations. It was also performed a kinetic study. The obtained results showed that the H2S removal kinetics is greater for NaOH. Considering that the study was performed at low concentrations of chemical reagents, it was possible to check the effect of secondary reactions in the other chemicals, especially in the case of KMnO4, which shows that your by-product, MnO2, acts in H2S absorption process. In addition, CuSO4 and FeCl3 also demonstrated to have good efficiency in H2S removal
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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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The use of post-consumer materials is directly related to reducing the cost of production and extraction of natural resources. Non-recyclable materials are randomly disposed in the environment. Brazil is one of the largest consumers of PET (polyethylene terephthalate) bottles. The purpose of this paper is to describe the opportunities and challenges of the logistics model for post-consumer PET bottle recycling in Brazil, while providing knowledge of its practices along the recycling chain. The results describe the need to educate those directly and indirectly involved in the process: to reduce consumption in order to reduce the amount of waste generated: to structure the post-consumer reverse chain and engage industrial sectors and government, through public policies, to support cleaner technologies along the PET bottle production chain. (C) 2010 Elsevier B.V. All rights reserved.
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This paper proposes a combined pool/bilateral short term hydrothermal scheduling model (PDC) for the context of the day-ahead energy markets. Some innovative aspects are introduced in the model, such as: i) the hydraulic generation is optimized through the opportunity cost function proposed; ii) there is no decoupling between physical and commercial dispatches, as is the case today in Brazil; iii) interrelationships between pool and bilateral markets are represented through a single optimization problem; iv) risk exposures related to future deficits are intrinsically mitigated; v) the model calculates spot prices in an hourly basis and the results show a coherent correlation between hydrological conditions and calculated prices. The proposed PDC model is solved by a primal-dual interior point method and is evaluated by simulations involving a test system. The results are focused on sensitivity analyses involving the parameters of the model, in such a way to emphasize its main modeling aspects. The results show that the proposed PDC provides a conceptual means for short term price formation for hydrothermal systems.