Economia do meio ambiente : produção versus poluição

Nesta dissertação conceitualiza-se Economia do Meio Ambiente e destaca-se a importância de seu estudo e de suas aplicações. São apresentados os conceitos de externalidade, bens públicos, ótimo de Pareto, taxas Pigouvianas, o teorema de Coase, a tragédia dos comuns e comportamento free rider. Com base nesses conceitos, são focalizados as políticas públicas tradicionais e os mecanismos de mercado, buscando encontrar alternativas que conciliem a preservação do meio ambiente com os objetivos de eficiência econômica da sociedade. Finalmente, é analisado, através de um estudo de caso, o interesse e as condições da iniciativa privada em se adaptar tecnologicamente às regras ambientais definidas pelas políticas públicas.

A força da marca na decisão de compra de sandálias masculinas: um estudo exploratório

o presente estudo objetiva verificar a força da marca na decisão de compra de sandálias masculinas, estudando o caso das sandálias Rider da empresa Grendene. A marca torna-se cada vez mais uma fonte de vantagem competitiva, pois ela é mais do que apenas um nome ou símbolo. É ela que diferencia os produtos de uma empresa em relação à concorrência. É ela que é o elo de ligação ente a empresa e o consumidor. Os atributos do produto, as tecnologias, são fáceis de serem alcançados pelos concorrentes e tornam-se obsoletos rapidamente. No entanto, a criação de uma marca forte que gere lealdade por parte dos consumidores é algo mais complexo e poucas empresas alcançam esse patamar de valor. No cenário atual em que a cada momento surgem novas marcas, novos produtos, cada uma oferecendo atributos diferentes, o consumidor acaba se protegendo atrás das marcas conhecidas e fortes e que levam associadas a si uma imagem de qualidade, reconhecimento no mercado e certo nível de status e prestígio, facilitando assim a sua decisão. A marca Rider é uma dessas poucas marcas que conseguiu chegar a este nível, criando uma série de associações favoráveis, como conforto, inovação, diferenciação, qualidade (durabilidade) e beleza, que vem à mente dos consumidores no momento da decisão de compra. O processo de decisão de compra de sandálias masculinas não é complexo se caracterizando por um baixo envolvimento pela maioria dos consumidores, no entanto, em função de ser um item que está ligado ao modo de ser e agir das pessoas, se caracteriza por uma busca mediana de informações relacionadas ao produto. Assim, os resultados da pesquisa sugerem que a marca exerce influência na decisão de compra de sandálias masculinas, e que a marca Rider tem brand equity, ou seja, tem valor para os clientes, tem recall de marca e reconhecimento no mercado o que gera um relacionamento duradouro entre a marca e os consumidores.

Monopoly power and trade protection: cross- industry evidence

This paper investigates the impact of industry concentration on trade policy. Annual panel-databases of Brazilian industries for the years 1988 through 1994 were used. The regressions reported here are robust to openness indicator. concentration index, control variables and sample size, and suggest that the higher the concentration of a given industry the higher its leveI of trade protection. In the period of study the country experienced a major trade liberalization, but the results in the paper show that the reduction in protection was smaller in more concentrated sectors. Assuming that concentration is ;1 gCl()d proX\' for mOllopoh' po\\'er as it reduces the free-rider problem in coordinating a lobby the results in this paper indicates that interest groups with control over specific markets in fact are able to obtain policy advantages that reduce (international) competition.

Reactive power dispatch and planning using a non-linear branch-and-bound algorithm

Coordenação de Aperfeiçoamento de Pessoal de Nível Superior (CAPES)

HOW TO EFFICIEN TLY INCORPORATE FACTS DEVICES IN OPTIMAL ACTIVE POWER FLOW MODEL

This paper presents for the first time how to easily incorporate facts devices in an optimal active power flow model such that an efficient interior-point method may be applied. The optimal active power flow model is based on a network flow approach instead of the traditional nodal formulation that allows the use of an efficiently predictor-corrector interior point method speed up by sparsity exploitation. The mathematical equivalence between the network flow and the nodal models is addressed, as well as the computational advantages of the former considering the solution by interior point methods. The adequacy of the network flow model for representing facts devices is presented and illustrated on a small 5-bus system. The model was implemented using Matlab and its performance was evaluated with the 3,397-bus and 4,075-branch Brazilian power system which show the robustness and efficiency of the formulation proposed. The numerical results also indicate an efficient tool for optimal active power flow that is suitable for incorporating facts devices.

A Constructive Heuristic Algorithm for Distribution System Planning

A constructive heuristic algorithm (CHA) to solve distribution system planning (DSP) problem is presented. The DSP is a very complex mixed binary nonlinear programming problem. A CHA is aimed at obtaining an excellent quality solution for the DSP problem. However, a local improvement phase and a branching technique were implemented in the CHA to improve its solution. In each step of the CHA, a sensitivity index is used to add a circuit or a substation to the distribution system. This sensitivity index is obtained by solving the DSP problem considering the numbers of circuits and substations to be added as continuous variables (relaxed problem). The relaxed problem is a large and complex nonlinear programming and was solved through an efficient nonlinear optimization solver. Results of two tests systems and one real distribution system are presented in this paper in order to show the ability of the proposed algorithm.

A Strategy to Solve the Multistage Transmission Expansion Planning Problem

Conselho Nacional de Desenvolvimento Científico e Tecnológico (CNPq)

Imposing Radiality Constraints in Distribution System Optimization Problems

Conselho Nacional de Desenvolvimento Científico e Tecnológico (CNPq)

Efficient heuristic algorithm used for optimal capacitor placement in distribution systems

An efficient heuristic algorithm is presented in this work in order to solve the optimal capacitor placement problem in radial distribution systems. The proposal uses the solution from the mathematical model after relaxing the integrality of the discrete variables as a strategy to identify the most attractive bus to add capacitors to each step of the heuristic algorithm. The relaxed mathematical model is a nonlinear programming problem and is solved using a specialized interior point method, The algorithm still incorporates an additional strategy of local search that enables the finding of a group of quality solutions after small alterations in the optimization strategy. Proposed solution methodology has been implemented and tested in known electric systems getting a satisfactory outcome compared with metaheuristic methods.The tests carried out in electric systems known in specialized literature reveal the satisfactory outcome of the proposed algorithm compared with metaheuristic methods. (C) 2009 Elsevier Ltd. All rights reserved.

Artificial neural networks for load flow and external equivalents studies

In this paper an artificial neural network (ANN) based methodology is proposed for (a) solving the basic load flow, (b) solving the load flow considering the reactive power limits of generation (PV) buses, (c) determining a good quality load flow starting point for ill-conditioned systems, and (d) computing static external equivalent circuits. An analysis of the input data required as well as the ANN architecture is presented. A multilayer perceptron trained with the Levenberg-Marquardt second order method is used. The proposed methodology was tested with the IEEE 30- and 57-bus, and an ill-conditioned 11-bus system. Normal operating conditions (base case) and several contingency situations including different load and generation scenarios have been considered. Simulation results show the excellent performance of the ANN for solving problems (a)-(d). (C) 2010 Elsevier B.V. All rights reserved.

Parâmetros sanguíneos de cavalos alimentados com concentrados lipídicos submetidos a treinos aeróbicos montados

Avaliou-se o fornecimento de concentrados com baixo e alto teor de óleo de soja a cavalos atletas, submetidos a duas intensidades de treinos aeróbicos montados, sobre a resposta metabólica de parâmetros bioquímicos do sangue, de importância ao desempenho esportivo. Foram utilizados quatro cavalos, em delineamento experimental quadrado latino, com tratamentos em esquema fatorial 2x2 (duas inclusões de óleo de soja e duas rotinas de treinos aeróbicos). Os tratamentos foram compostos por teores de 5 e 15% de óleo de soja nos concentrados e duas intensidades de treinos montados por 40 e 60min, classificadas como aeróbicas. As amostras de sangue foram colhidas após o último treino de 40 ou 60min, de cada período experimental. Monitorou-se, após o exercício, os parâmetros bioquímicos, triglicerídeos (TG), colesterol total (CT), glicose (GLI) e lactato (LAC). Houve redução no teor TG (P<0,05) para cavalos consumindo 15% de óleo e treinados aerobicamente por 60 min., o CT elevou-se em função do aumento da inclusão de óleo (P<0,05), incremento LAC (P<0,05) em cavalos treinados por 60min., independente do nível de óleo ingerido (1,48mmol/L), bem como não se verificou efeito (P>0,05) dos tratamentos sobre GLI. Concluiu-se que, para cavalos atletas em atividade aeróbica, o oferecimento de concentrado com alto teor óleo de soja deve ser associado ao treino montado de maior intensidade.

A metaheuristic to solve the transmission expansion planning

In this letter, a genetic algorithm (GA) is applied to solve - the static and multistage transmission expansion planning (TEP) problem. The characteristics of the proposed GA to solve the TEP problem are presented. Results using some known systems show that the proposed GA solves a smaller number of linear programming problems in order to find the optimal solutions and obtains a better solution for the multistage TEP problem.

Transmission network expansion planning with security constraints

A mathematical model and a methodology to solve the transmission network expansion planning problem with security constraints are presented. The methodology allows one to find an optimal and reliable transmission network expansion plan using a DC model to represent the electrical network. The security (n-1) criterion is used. The model presented is solved using a genetic algorithm designed to solve the reliable expansion planning in an efficient way. The results obtained for several known systems from literature show the excellent performance of the proposed methodology. A comparative analysis of the results obtained with the proposed methodology is also presented.

Power system transmission network expansion planning using AC model

An optimisation technique to solve transmission network expansion planning problem, using the AC model, is presented. This is a very complex mixed integer nonlinear programming problem. A constructive heuristic algorithm aimed at obtaining an excellent quality solution for this problem is presented. An interior point method is employed to solve nonlinear programming problems during the solution steps of the algorithm. Results of the tests, carried out with three electrical energy systems, show the capabilities of the method and also the viability of using the AC model to solve the problem.

Transmission network expansion planning considering uncertainty in demand

This paper presents two mathematical models and one methodology to solve a transmission network expansion planning problem considering uncertainty in demand. The first model analyzed the uncertainty in the system as a whole; then, this model considers the uncertainty in the total demand of the power system. The second one analyzed the uncertainty in each load bus individually. The methodology used to solve the problem, finds the optimal transmission network expansion plan that allows the power system to operate adequately in an environment with uncertainty. The models presented are solved using a specialized genetic algorithm. The results obtained for several known systems from literature show that cheaper plans can be found satisfying the uncertainty in demand.