No description available.

The main aim of this thesis was to assess the relation between productivity and size of company in selected sector of national economy construction industry. The sub-objectives were determined as follows: to gather theoretical information on the topic, to analyse the productivity according to the individual size categories of companies in the selected sector, to assess the relation between the size of company and the productivity and to ascertain the level of productivity in the Czech Republic in comparison with the selected sector.

Submitted by Renata Lopes (renatasil82@gmail.com) on 2016-02-12T10:34:36Z No. of bitstreams: 1 larissadasilvamarioni.pdf: 1596321 bytes, checksum: 14da9f2ee7d3c42e2dc4982065995603 (MD5) / Approved for entry into archive by Adriana Oliveira (adriana.oliveira@ufjf.edu.br) on 2016-02-26T12:07:08Z (GMT) No. of bitstreams: 1 larissadasilvamarioni.pdf: 1596321 bytes, checksum: 14da9f2ee7d3c42e2dc4982065995603 (MD5) / Made available in DSpace on 2016-02-26T12:07:08Z (GMT). No. of bitstreams: 1 larissadasilvamarioni.pdf: 1596321 bytes, checksum: 14da9f2ee7d3c42e2dc4982065995603 (MD5) Previous issue date: 2014-02-21 / Uma importante questão que vem recebendo a atenção de estudos na literatura de economia da educação se refere a identificação dos insumos relevantes para o aprendizado escolar das crianças e a possibilidade de implementação de políticas públicas que sejam efetivas. Em particular, os resultados de desempenho educacional decorrentes da qualidade do professor não são consensuais. Uma questão que ainda precisa ser melhor investigada é se um professor de boa qualidade afeta positivamente o desempenho escolar do aluno no decorrer do tempo. Nesse sentido, o objetivo do presente estudo é identificar o impacto das contribuições dos professores para o aprendizado através da proficiência dos alunos de escolas públicas e privadas em municípios selecionados do Brasil. A partir dos microdados longitudinais do projeto GERES - Geração Escolar, que acompanhou o desempenho dos alunos da primeira etapa do Ensino Fundamental nos anos de 2005 a 2008 utilizou-se a Função de Produção Educacional (FPE) incluindo os efeitos fixos de alunos, professores e o match entre eles para detectar o efeito da qualidade observada do professor e buscar evitar o viés decorrente da omissão de variáveis sobre o resultado dos alunos. A relevância do formato longitudinal dos dados possibilita avaliar a evolução do aprendizado das crianças e utilizar hipóteses menos restritivas na estimação dos resultados. Esse tipo de especificação, até onde foi investigado, não foi utilizado na literatura empírica do efeito do professor na proficiência dos alunos. A partir dos resultados foi verificado que com o controle dos efeitos fixos, inclusive do match, questões como o professor possuir outro trabalho tem impacto negativo na proficiência de seus alunos. As variáveis como educação, experiência e renda são significativas para português e os resultados são coerentes. Já para matemática, essas mesmas variáveis não são significativas, indicando que as características não observadas, quando controladas são capazes de explicar as diferenças nas notas. Através dos coeficientes das dummies dos professores o aluno que muda do pior para o melhor professor em português pode sair do primeiro nível de aprendizagem e atingir o terceiro de acordo com a escala do GERES. O aluno que muda do pior para o melhor professor em matemática pode sair do primeiro nível de aprendizagem e ir para o quinto nível de acordo com a escala para esta proficiência. / An important issue that has received attention in studies of the economics of education literature refers to identifying relevant inputs to children’s educational performance and the possibility of implementing public policies that are effective. In particular, the results of educational performance coming from teacher quality are not consensual. One issue that still needs to be investigated is whether a good quality teacher positively affects the academic performance of students over time. In this sense, the aim of this study is to identify the impact of teachers’ contributions to learning through the proficiency of students in public and private schools in selected municipalities in Brazil. From the longitudinal micro project GERES – Geração Escolar, which accompanied the students' performance in the first stage of elementary school in the years 2005 to 2008, we used the educational production function (EPF) including fixed effects for students, teachers and the match between them to detect the effect of the observed teacher’s quality and seek to avoid the bias caused by the omission of variables on the students’ outcomes. The relevance of longitudinal data allows to evaluate the evolution of children's learning and use less restrictive assumptions on the estimation results. This type of specification, as far as we investigated, was not used in the empirical literature of the teacher’s effect in student proficiency. From the results it was found that controlling for fixed effects, including the match, issues such as the teacher has other work has a negative impact on the proficiency of their students. Variables such as education, experience and income are significant for reading and the results are consistent. For math, these same variables are not significant, indicating that the unobserved characteristics when controlled are able to explain the differences in the notes. Using the coefficients of the dummies of the teachers, students that changes from worst to best teacher in portuguese can achieve the third level of learning according to the scale of GERES. A student who changes from worst to best math teacher can leave the first level of learning and achieve the fifth level in accordance with the scale for this proficiency.

Submitted by Geandra Rodrigues (geandrar@gmail.com) on 2018-05-10T12:15:28Z No. of bitstreams: 1 alexandredasilvafernandes.pdf: 3326554 bytes, checksum: f4dfcfe70bde99c5ebe4501f03add83e (MD5) / Approved for entry into archive by Adriana Oliveira (adriana.oliveira@ufjf.edu.br) on 2018-05-22T15:33:53Z (GMT) No. of bitstreams: 1 alexandredasilvafernandes.pdf: 3326554 bytes, checksum: f4dfcfe70bde99c5ebe4501f03add83e (MD5) / Made available in DSpace on 2018-05-22T15:33:53Z (GMT). No. of bitstreams: 1 alexandredasilvafernandes.pdf: 3326554 bytes, checksum: f4dfcfe70bde99c5ebe4501f03add83e (MD5) Previous issue date: 2018-02-20 / O planejamento da operação do Sistema Interligado Nacional constitui-se uma tarefa de alta complexidade, seja pela quantidade acentuada de usinas hidrelétricas e termelétricas distribuídas nos quatro submercados interligados, ou pelas características marcantes da operação das hidrelétricas, no que diz respeito às incertezas dos cenários hidrológicos futuros e aos acoplamentos espacial e temporal. O objetivo deste planejamento é a determinação de uma política ótima de despacho das usinas do sistema de modo a minimizar o valor esperado dos custos operativos no horizonte considerado. Uma importante restrição do problema é o suprimento da demanda de energia elétrica, dado pela diferença entre a carga efetiva de cada submercado e a geração das usinas não simuladas, esta última composta pela energias alternativas (eólica, solar, biomassa), pequenas centrais hidrelétricas, entre outros. Entretanto, a crescente penetração da geração renovável, aliada às incertezas das fontes naturais como eólica e solar (pois dependem de fatores climáticos e por isso são imprevisíveis), contribui com a necessidade de representação da demanda em diversos cenários para um correto despacho das usinas e uma operação do sistema mais confiável. Sabendo que os modelos oficiais atuais tratam apenas as incertezas oriundas dos cenários hidrológicos, devido à dificuldade de implementação e alocação de memória na consideração de outras incertezas na Programação Dinâmica Dual Estocástica, o trabalho desenvolvido nesta dissertação propõe metodologias que incluem os diversos cenários de demanda, além de representar com maior detalhe a geração das hidrelétricas. Além disso, são propostos algoritmos de representação analítica da Função de Custo Imediato em sistemas isolados e com múltiplas áreas na busca por uma redução das dimensões do problema tratado. Finalmente, são realizados testes em sistemas tutorias e os resultados são analisados para avaliar as performances computacionais das metodologias propostas. / The operation schedulling of Brazilian System constitutes a task of high complexity, either due to the large number of hydro and thermal plants distributed in the four interconnected submarkets, or due to the outstanding characteristics of the hydro plants, with respect to the uncertainties in the hydrological scenarios future and due to spatial and temporal couplings. The objective of this planning is the determination of an optimal dispatch policy of plants that minimizes the expected value of the operating costs in the considered horizon. An important constraint is the supply of demand, which is obtained by the difference between the effective load of each submarket and the generation of non-simulated plants, composed of renewable energies (wind, solar, biomass), small hydropower plants, and others. However, the growing penetration of renewable generation, coupled with the uncertainties of natural sources such as wind and solar (because they depend on climatic factors and are therefore unpredictable), contributes to the need to represent demand in different scenarios for a correct dispatch of the plants and a more reliable system operation. Knowing that the current official models deal only with the uncertainties arising from the hydrological scenarios, due to the difficulty of implementation and memory allocation in the consideration of other uncertainties in Stochastic Dual Dynamic Programming, this work proposes methodologies that include the several scenarios demand, besides representing in greater detail the generation of hydroelectric plants. In addition, algorithms are proposed for analytical representation of the Immediate Cost Function in isolated systems with multiple areas in the search for a reduction of the dimensions of the problem. Finally, tests are performed on tutorial systems and the results are analyzed to evaluate the computational performances of the proposed methodologies.

Submitted by Luciana Neves Pires (luciananevespires@gmail.com) on 2018-06-11T21:16:45Z No. of bitstreams: 1 Dissertação_Luciana_Pires.pdf: 3233234 bytes, checksum: eb9f7c63f3f64a45aef5050fd19ef699 (MD5) / Rejected by Katia Menezes de Souza (katia.menezes@fgv.br), reason: Prezada Luciana boa noite, Para que possamos aprovar seu trabalho são necessários realizar alguns ajustes conforme norma ABNT/APA. Você deverá excluir a segunda folha (que é a contracapa) e em substituição a essa, deverá incluir no lugar, a página 04 (lembrando que em seguida deverá excluir a página 04 pois caso contrário ficará em duplicidade) Após os ajustes excluir o pdf já postado e submete-lo novamente para análise e aprovação. Qualquer duvida estamos a disposição, Att. Katia Menezes on 2018-06-11T22:20:29Z (GMT) / Submitted by Luciana Neves Pires (luciananevespires@gmail.com) on 2018-06-12T13:15:18Z No. of bitstreams: 1 Dissertação.pdf: 3217177 bytes, checksum: 942fa504698be8667266a226b890950d (MD5) / Approved for entry into archive by Katia Menezes de Souza (katia.menezes@fgv.br) on 2018-06-12T13:25:14Z (GMT) No. of bitstreams: 1 Dissertação.pdf: 3217177 bytes, checksum: 942fa504698be8667266a226b890950d (MD5) / Approved for entry into archive by Isabele Garcia (isabele.garcia@fgv.br) on 2018-06-12T20:07:18Z (GMT) No. of bitstreams: 1 Dissertação.pdf: 3217177 bytes, checksum: 942fa504698be8667266a226b890950d (MD5) / Made available in DSpace on 2018-06-12T20:07:18Z (GMT). No. of bitstreams: 1 Dissertação.pdf: 3217177 bytes, checksum: 942fa504698be8667266a226b890950d (MD5) Previous issue date: 2018-05-16 / This work contributes to the literature of human capital formation by estimating the impact of early childhood investment (by means of preschool attendance) over cognitive skill development. Using a longitudinal panel dataset for a single municipality, we draw the distribution of latent cognitive and non-cognitive factors and consider a dynamic model of skill formation. We find our Constant Elasticity Substitution (CES) production function to be a Cobb-Douglas. The complementarity and share parameters of the CES are stable in diverse specifications tested. We find that early investment matters for cognitive skill accumulation during childhood. Preliminar estimation for long-term cognitive production presents evidence of self-productivity (skill begets skill). Since cognitive skill is persistent overtime, early childhood investment has a positive cumulative impact in the long-term by boosting cognitive skills in earlier stages. / Este trabalho contribui para a literatura de formação de capital humano estimando o impacto do investimento na primeira infância (por meio da frequência pré-escolar) sobre o desenvolvimento de habilidades cognitivas. Usando um painel longitudinal com dados para um único município, extraímos a distribuição dos fatores cognitivo e não-cognitivo e consideramos um modelo dinâmico de formação de habilidades. A função de produção Elasticidade Substituição Constante (CES) que estimamos é uma Cobb-Douglas. Os parâmetros de complementaridade e participação na CES são estáveis para diversas especificações testadas. Encontramos que o investimento na primeira infância é importante para o acúmulo de habilidades cognitivas durante a infância. Estimativas preliminares da função de produção usando medidas de longo prazo para o fator cognitivo apresentam evidências de autoprodutividade (habilidade gera habilidade). Como a habilidade cognitiva é persistente ao longo do tempo, o investimento na primeira infância tem um efeito cumulativo positivo no longo prazo, impulsionando as habilidades cognitivas nos estágios iniciais.

This study deals with the health production function. It analyzes the impact of health care, socioeconomic, lifestyle and environmental factors on the mortality and life expectancy of the population of the Czech Republic. The analysis is made by linear regressions with time series data for the period from 1993 to 2011. Health care is measured by health care expenditures or by non-monetary indicators, the number of doctors and the consumption of pharmaceuticals. The results show that higher health care expenditures increase the mortality and reduce life expectancy. On the other hand higher number of doctors and higher consumption of pharmaceuticals improve the health status of the population. It may indicate inefficiency and corruption in health sector. Important factors that positively influence health are wealth, education and fruit and vegetable consumption, smoking affects health negatively. The results suggest that health care policy should focus not only on effective allocation of health care expenditures but also on lifestyle and socioeconomic status of the population. The limits of this work are short time series which don't allow the use of the lagged explanatory variables.

Les activités économiques présentent des formes et des degrés de dépendance variables à l’environnement. L’environnement peut intervenir comme un facteur de production, comme une contrainte à l’usage de certains intrants, comme une contrainte pour certains facteurs de production. La dépendance peut être reliée à la disponibilité ou à la qualité de certaines ressources environnementales, à leur dimension de bien collectif. Il s’agira d’explorer les implications des différentes formes de dépendances bio-physico-chimiques mais aussi juridiques. Dans le cas de l’ostréiculture arcachonnaise, on examinera les formes de dépendance et leur mesure économique, à travers les impacts économiques liés à la disponibilité variable des ressources biologiques marines mais aussi à la productivité naturelle du milieu. L’analyse des caractéristiques socio-économiques des entreprises ostréicoles arcachonnaises permettra de dresser une typologie de ces dernières et ainsi caractériser l’activité. Une approche par la fonction de production sera utilisée pour mettre en évidence les degrés divers de sensibilité à une variation des conditions environnementales de production tandis que l’évaluation par la méthode des prix hédoniques permettra de déterminer le prix implicite des composantes environnementales des indemnités de substitution en tenant compte par ailleurs de la localisation géographique des concessions ostréicoles. / Economic activities have forms and degrees of dependency variables to the environment. The environment can act as a factor of production as a constraint to the use of certain inputs, such as a constraint for some inputs. Dependence may be related to the availability or quality of certain environmental resources. It will explore the implications of different forms of dependencies bio-physico-chemical as well as legal. In the case of the Arcachon Bay oyster-farming will examine the forms of dependence and economic measure, through the economic impacts associated with the variable availability of living marine resources but also to the natural productivity of the environment. The analysis of socio-economic characteristics of Arcachon Bay oyster-farms will develop a typology of the latter and thus characterize the activity. A production function approach will be used to highlight the varying degrees of sensitivity to changes in environmental conditions of production while the evaluation by the hedonic price method will determine the implicit price of environmental components of the oyster leases value taking into account also the geographical location of oyster leases.

No description available.

The thesis deals with the mathematical modelling of economic processes, particulary production. Basic approach, models and methods of modelling concerning the mentioned area are described. Further, specific characterizations are investigated. Application of selected methods to typical examples is presented. In the final part models on concrete data are constructed.

The elasticity of factor substitution between capital and labor is a crucial parameter in many economic fields. However, despite extensive research, there is no agreement on its value. Utilizing 738 estimates from 41 studies published between 1961 and 2016, this paper provides the first meta-regression analysis of capital-labor substitution elasticities for the U.S. economy. We show that heterogeneity in reported estimates is driven by the choice of estimation equations, the modeling of technological dynamics, and data characteristics. Based on the underlying meta-regression sample and a "best practice" specification, we estimate a long-run elasticity in the range of 0.6 to 0.7. For all estimated elasticities the hypothesis of a Cobb-Douglas production function is rejected.