1000 resultados para Análise econômico financeira em hospitais
Resumo:
Health results from the interaction of biological, social, economic, political and cultural factors. Under this perspective, we aim to analyze the relationship among working in public emergency hospitals and the health-sickness of the professionals who work there. We are based in a quantitative and qualitative research, in which 240 health professionals (doctors, nurses, social workers, psychologists, dentists, nutritionists, audiologists, physiotherapists and occupational therapists) answered a survey. All of them recognize the importance of work to guarantee favorable conditions to good health. However, they highlight its physical and mental wear effects on workers like stress, absence of a healthy life-style, high blood pressure, musculoskeletal, gastrointestinal and sleep disorders. It becomes urgent to face this reality, to enhance professionals' health and, consequently, the quality of user’s assistance, since the illness of health workers is strongly correlated with the existing health model in society.
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This study aims to evaluate the relationship between the export profile and the African GDP growth rate. Chapter 1 presents the literature on the subject and studies that analyze the specific case of Africa. There seems to be a consensus that exports contribute to economic growth. However, there is no consensus on the benefits that are incorporated from exported products. The divergence lies between the approach of the Natural Resources Curse, where concentration of exports in commodities does not contribute to economic growth. Another work line supports the idea there is no such relation. Chapter 2 presents, through descriptive analysis, macroeconomic and international trade data for African economies data. Based on data from 52 countries for the period 1990-2014, it can be observed that the African continent has improved in macroeconomic terms, with increased exports and economic growth rates, suggesting a positive relationship between the variables. Trade indicators show Africa's integration into the global economy, with European Union, USA, China and some emerging countries as main partners. In addition, the analysis showed that the export is concentrated in oil and agricultural commodities. Most African countries face a negative trade balance, depending of primary products exports with low added value and imports of manufactured goods. Finally, Chapter 3 presents an empirical research using panel data analysis. The results suggest, in general, evidences that exports are important for explaining the African economic growth rate of African economies can be stimulated by the expansion of the share of exports in GDP. The estimated coefficients are positive and statistically significant in both the fixed effect estimation, as the estimation by GMM System. The estimation of growth models for fixed or random effects indicates a direct and statistically significant relationship between export oil / minerals and the growth rate of African countries. Thus, the export profile turns out to be important to determine the growth rate. The results obtained from the estimates do not corroborate the literature arguments called Curse of Natural Resources for the period analyzed, since export natural resources, especially oil and minerals, were relevant to explain the performance of the growth rate of economies.
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Globalization and technological changes that has happened since the 80s have brought remarkable changes in the industrial and commercial paradigm, which are expressed mainly in the international fragmentation of production and in the formation of Global Value Chains (GVC). This thesis sought to understand such phenomena and discuss new relevant variables in this context for a more accurate analysis of the current trade patterns not addressed by the seminal economic theories that relate trade and economic growth. It sought to evaluate how the trade specialization pattern of Brazil evolved compared to other economies (China, India, Russia, United States, Japan and selected Latin American economies) in the light of these phenomena from 1995 to 2011. Therefore, we have used the methodology of gross exports decomposition in value added measures, developed by Koopman et al. (2014), and indicators estimated from data of two global matrices I-O: a WIOT (2013) and the TiVA (2015). It was also tested two hypotheses regarding the role of these phenomena as determinants of economic growth in recent years: 1º) fragmentation and participation in GVC ensure higher growth rates for countries; 2º) the place (stage) in which the country finds itself in GVC associated with sectoral technological aspects is also important for economic growth. For this, we used dynamic panel models (Difference GMM and System GMM) for a sample of 40 countries from 2003 to 2011. The studies carried out on Brazil show that the country is no longer on the margins of these phenomena, because it shows increasing rates of participation in GVC, including in sectors considered most strategic for fragmentation. However, there is not a standard convergence of trade specialization of the country to those presented by developed countries or movements earned by China and Mexico in terms of their position and profile of participating in GVC. Another important result obtained by the thesis is the identification of these phenomena are in fact new variables relevant for economic growth, because it shows empirical evidences to support the hypothesis 1 and, partially, the hypothesis 2. A joint analysis of the estimated econometric results with the results of the descriptive analysis of the Brazilian economy, it leads us to conclude that the trade specialization pattern of the country in the context of the new trade setups is presented unfavorably to its growth strategy.
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Forecast is the basis for making strategic, tactical and operational business decisions. In financial economics, several techniques have been used to predict the behavior of assets over the past decades.Thus, there are several methods to assist in the task of time series forecasting, however, conventional modeling techniques such as statistical models and those based on theoretical mathematical models have produced unsatisfactory predictions, increasing the number of studies in more advanced methods of prediction. Among these, the Artificial Neural Networks (ANN) are a relatively new and promising method for predicting business that shows a technique that has caused much interest in the financial environment and has been used successfully in a wide variety of financial modeling systems applications, in many cases proving its superiority over the statistical models ARIMA-GARCH. In this context, this study aimed to examine whether the ANNs are a more appropriate method for predicting the behavior of Indices in Capital Markets than the traditional methods of time series analysis. For this purpose we developed an quantitative study, from financial economic indices, and developed two models of RNA-type feedfoward supervised learning, whose structures consisted of 20 data in the input layer, 90 neurons in one hidden layer and one given as the output layer (Ibovespa). These models used backpropagation, an input activation function based on the tangent sigmoid and a linear output function. Since the aim of analyzing the adherence of the Method of Artificial Neural Networks to carry out predictions of the Ibovespa, we chose to perform this analysis by comparing results between this and Time Series Predictive Model GARCH, developing a GARCH model (1.1).Once applied both methods (ANN and GARCH) we conducted the results' analysis by comparing the results of the forecast with the historical data and by studying the forecast errors by the MSE, RMSE, MAE, Standard Deviation, the Theil's U and forecasting encompassing tests. It was found that the models developed by means of ANNs had lower MSE, RMSE and MAE than the GARCH (1,1) model and Theil U test indicated that the three models have smaller errors than those of a naïve forecast. Although the ANN based on returns have lower precision indicator values than those of ANN based on prices, the forecast encompassing test rejected the hypothesis that this model is better than that, indicating that the ANN models have a similar level of accuracy . It was concluded that for the data series studied the ANN models show a more appropriate Ibovespa forecasting than the traditional models of time series, represented by the GARCH model
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The Behavioral Finance develop as it is perceived anomalies in these markets efficient. This fields of study can be grouped into three major groups: heuristic bias, tying the shape and inefficient markets. The present study focuses on issues concerning the heuristics of representativeness and anchoring. This study aimed to identify the then under-reaction and over-reaction, as well as the existence of symmetry in the active first and second line of the Brazilian stock market. For this, it will be use the Fuzzy Logic and the indicators that classify groups studied from the Discriminant Analysis. The highest present, indicator in the period studied, was the Liabilities / Equity, demonstrating the importance of the moment to discriminate the assets to be considered "winners" and "losers." Note that in the MLCX biases over-reaction is concentrated in the period of financial crisis, and in the remaining periods of statistically significant biases, are obtained by sub-reactions. The latter would be in times of moderate levels of uncertainty. In the Small Caps the behavioral responses in 2005 and 2007 occur in reverse to those observed in the Mid-Large Cap. Now in times of crisis would have a marked conservatism while near the end of trading on the Bovespa speaker, accompanied by an increase of negotiations, there is an overreaction by investors. The other heuristics in SMLL occurred at the end of the period studied, this being a under-reaction and the other a over-reaction and the second occurring in a period of financial-economic more positive than the first. As regards the under / over-reactivity in both types, there is detected a predominance of either, which probably be different in the context in MLCX without crisis. For the period in which such phenomena occur in a statistically significant to note that, in most cases, such phenomena occur during the periods for MLCX while in SMLL not only biases are less present as there is no concentration of these at any time . Given the above, it is believed that while detecting the presence of bias behavior at certain times, these do not tend to appear to a specific type or heuristics and while there were some indications of a seasonal pattern in Mid- Large Caps, the same behavior does not seem to be repeated in Small Caps. The tests would then suggest that momentary failures in the Efficient Market Hypothesis when tested in semistrong form as stated by Behavioral Finance. This result confirms the theory by stating that not only rationality, but also human irrationality, is limited because it would act rationally in many circumstances
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This paper presents a differential approach of financial mathematics developed in high school, focusing on financial education. We seek through the insertion of texts, analysis of some financial products and by the interpretation of problems to contribute to the financial training of students. Aiming to make financial mathematics more attractive and accessible to the day-today, there are available for studies some practical tools like the citizen calculator which are available for computers and mobile phones. As well as spreadsheets and software Geogebra, that allow you to compare and analyze the financial costs of consortia, financing and financial applications,in addition to being allied in the preparation and control of personal and family budget. By applying the teaching sequence proposed in a nocturnal class of high school, we realized some difficulties that have limited the financial learning of math concepts.Yet identified progress regarding the financial education of students. These observations were made through qualitative and quantitative analysis from notes in the field diary and also answers given by students in specific form.
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Mestrado em Contabilidade
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O estudo do crescimento econômico é de suma importância para que possamos averiguar a trajetória de uma economia ao longo do tempo, a proposta desse trabalho é analisar o crescimento econômico no estado do Rio Grande do Sul, através do instrumental das cadeias de Markov, a ideia principal do estudo está na hipótese de convergência de renda. Primeiramente será testado a hipótese de convergência de renda do estado por meio das microrregiões, para isso serão utilizados dados de produto per capita dos anos de 1990, 2000 e 2010. Também será testado a hipótese de convergência para os municípios do Conselho Regional de Desenvolvimento Sul, situado no Rio Grande do Sul, utilizando dados de renda per capita dos anos de 1991, 2000 e 2010. Os resultados obtidos para as microrregiões do Rio Grande do Sul mostram que as economias não estão convergindo em sua totalidade para uma classe de renda especifica, porém é percebido que no longo prazo haverá uma maior concentração das microrregiões nos extratos de renda próximos a média, o tempo esperado para que as economias cheguem ao seu estado estacionário é de seis períodos. Por meio dos resultados obtidos para a região do Corede Sul, temos que as economias convergirão em sua maioria para a classe de renda médio pobre, seguido pela classe dos médios ricos. Ambas as classes estão situadas próximas a média regional, sendo que as classes de renda pobre e rico situadas aos extremos serão extintas no longo prazo. O tempo esperado para que as economias cheguem ao estado estacionário é de onze períodos.
Resumo:
Hospitals are a big part of the service sector. Thus, such institutions are highly influenced by the logic of the capitalist accumulation, technology and forms of labor organization, especially by private organizations. Starting with the restructuring process motion and incorporation of technologies, many changes in the working process occur, therefore, the activities of medical professionals as well. During the preparation of this research items regarding the banalization of evil were identified. This banalization and resignation of the professionals face to violence are caused by the adoption of collective defense strategies. Therefore, this research aims to analyze how the rationalization of working conditions by gynecologists obstetricians and pediatricians working in the emergency rooms of public and private hospitals in Curitiba and metropolitan region occurs. An approach of mixed methods was used as methodological procedures. The naturalization of violence, the suffering which professionals are submitted to, are combined with the political and ideological control, bureaucratic control, the imaginary built about hospitals and collective defense strategies. It is therefore possible to understand that labor conditions of gynecologists obstetricians and pediatricians in emergency rooms are rationalized. When social injustice is naturalized, political strategies for changes are not possible. For this reason, the first step is to gather awareness, there is a need to unveil the reality, to understand the phenomena at its core and discard superficialities. It is also necessary that the actions and expressions of indignation to come hand in hand with political actions in order to change to happen.
Resumo:
O estudo do crescimento econômico é de suma importância para que possamos averiguar a trajetória de uma economia ao longo do tempo, a proposta desse trabalho é analisar o crescimento econômico no estado do Rio Grande do Sul, através do instrumental das cadeias de Markov, a ideia principal do estudo está na hipótese de convergência de renda. Primeiramente será testado a hipótese de convergência de renda do estado por meio das microrregiões, para isso serão utilizados dados de produto per capita dos anos de 1990, 2000 e 2010. Também será testado a hipótese de convergência para os municípios do Conselho Regional de Desenvolvimento Sul, situado no Rio Grande do Sul, utilizando dados de renda per capita dos anos de 1991, 2000 e 2010. Os resultados obtidos para as microrregiões do Rio Grande do Sul mostram que as economias não estão convergindo em sua totalidade para uma classe de renda especifica, porém é percebido que no longo prazo haverá uma maior concentração das microrregiões nos extratos de renda próximos a média, o tempo esperado para que as economias cheguem ao seu estado estacionário é de seis períodos. Por meio dos resultados obtidos para a região do Corede Sul, temos que as economias convergirão em sua maioria para a classe de renda médio pobre, seguido pela classe dos médio ricos. Ambas as classes estão situadas próximas a média regional, sendo que as classes de renda pobre e rico situadas aos extremos serão extintas no longo prazo. O tempo esperado para que as economias cheguem ao estado estacionário é de onze períodos.
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Entre 2003 e 2008, o Brasil apresentou um positivo desempenho econômico em meio a um cenário externo favorável, entretanto a partir da crise de 2008, o governo brasileiro passou a adotar medidas anticíclicas a fim de minimizar os efeitos externos da crise. Essas medidas objetivaram o incentivo da demanda agregada, o que realmente sofreu um efeito positivo de curto prazo, entretanto essas políticas, além de apresentar uma natureza limitada, podem levar a cenários futuros indesejados para o desenvolvimento econômico, como o aumento da inadimplência e taxa elevadas de inflação. Somado a isso, as medidas de incentivos de inovação e de desenvolvimento tecnológico foram interrompidas pela crise ou não implementadas de forma efetiva. Diante disto, a monografia se propõe a analisar os efeitos dessas políticas de incentivo à demanda adotada no período a partir de uma análise da indústria automotiva brasileira, uma das indústrias mais poderosas e receptoras de incentivos governamentais, já que apresenta um caráter dinâmico e movimenta um grande número de indústrias de base. Logo, para que a indústria automotiva cresça e se desenvolva de forma sustentável, bem como os outros setores, o incentivo não deve ser de cunho setorial, por tanto, temporário, deve ser de natureza permanente e abrangente. Além disso, um incentivo da demanda terá resultados positivos com os incentivos tecnológicos, inovadores e de qualificação do capital humano para uma crescente exportação, levando a saldos positivos da balança comercial e, consequentemente, maiores investimentos a partir de uma indústria mais competitiva.
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Os efeitos despoletados com a crise financeira de 2008 marcaram uma mudança radical de pensamentos e políticas entre as várias economias mundiais. Esta crise ficou marcada pelo enorme esforço que as economias tiveram que suportar, obrigando todos mercados a moldarem-se em função das contingências implementadas. Após análise e leitura de diversa literatura é consensual a referência ao início da crise financeira nos Estados Unidos da América (EUA) com o chamado subprime, percebendo-se também que muito rapidamente atingiria a Europa e todo o mundo. Desta forma, a Europa e inevitavelmente Portugal, acabaria por ser atingido e sofrer diversas consequências resultantes desta crise financeira. Na verdade, fruto da enorme turbulência dos mercados mundiais e da globalização, Portugal (incapaz de por si só sair da crise em que se viu envolvido) vê-se na necessidade de recorrer a ajuda externa por parte da Troika. Neste sentido, a presente dissertação tem como objetivo relatar resumidamente o início da crise financeira mundial, analisando o impacto das políticas de combate à crise implementadas em Portugal, no desempenho económico-financeiro das empresas portuguesas. Este estudo recaiu sobre a análise e perceção de comportamento de alguns indicadores económico financeiros entre os anos de 2010 a 2014, período durante o qual a Troika esteve presente em Portugal, implementando uma serie de reformas e políticas de combate à crise. Assim, debruçamo-nos sobre quatro setores de atividade (Construção Civil, Restauração, Hotelaria e Indústria do Calçado), observando os dados financeiros extraídos da base de dados SABI (Sistema de análise de Balanços Ibéricos) sobre empresas inseridas nos respetivos setores de atividade. Com base nos resultados do estudo realizado podemos concluir que o desempenho dos indicadores económico financeiros foram mais penalizados nos setores da Construção Civil e da Hotelaria.
Resumo:
Forecast is the basis for making strategic, tactical and operational business decisions. In financial economics, several techniques have been used to predict the behavior of assets over the past decades.Thus, there are several methods to assist in the task of time series forecasting, however, conventional modeling techniques such as statistical models and those based on theoretical mathematical models have produced unsatisfactory predictions, increasing the number of studies in more advanced methods of prediction. Among these, the Artificial Neural Networks (ANN) are a relatively new and promising method for predicting business that shows a technique that has caused much interest in the financial environment and has been used successfully in a wide variety of financial modeling systems applications, in many cases proving its superiority over the statistical models ARIMA-GARCH. In this context, this study aimed to examine whether the ANNs are a more appropriate method for predicting the behavior of Indices in Capital Markets than the traditional methods of time series analysis. For this purpose we developed an quantitative study, from financial economic indices, and developed two models of RNA-type feedfoward supervised learning, whose structures consisted of 20 data in the input layer, 90 neurons in one hidden layer and one given as the output layer (Ibovespa). These models used backpropagation, an input activation function based on the tangent sigmoid and a linear output function. Since the aim of analyzing the adherence of the Method of Artificial Neural Networks to carry out predictions of the Ibovespa, we chose to perform this analysis by comparing results between this and Time Series Predictive Model GARCH, developing a GARCH model (1.1).Once applied both methods (ANN and GARCH) we conducted the results' analysis by comparing the results of the forecast with the historical data and by studying the forecast errors by the MSE, RMSE, MAE, Standard Deviation, the Theil's U and forecasting encompassing tests. It was found that the models developed by means of ANNs had lower MSE, RMSE and MAE than the GARCH (1,1) model and Theil U test indicated that the three models have smaller errors than those of a naïve forecast. Although the ANN based on returns have lower precision indicator values than those of ANN based on prices, the forecast encompassing test rejected the hypothesis that this model is better than that, indicating that the ANN models have a similar level of accuracy . It was concluded that for the data series studied the ANN models show a more appropriate Ibovespa forecasting than the traditional models of time series, represented by the GARCH model
Resumo:
The Behavioral Finance develop as it is perceived anomalies in these markets efficient. This fields of study can be grouped into three major groups: heuristic bias, tying the shape and inefficient markets. The present study focuses on issues concerning the heuristics of representativeness and anchoring. This study aimed to identify the then under-reaction and over-reaction, as well as the existence of symmetry in the active first and second line of the Brazilian stock market. For this, it will be use the Fuzzy Logic and the indicators that classify groups studied from the Discriminant Analysis. The highest present, indicator in the period studied, was the Liabilities / Equity, demonstrating the importance of the moment to discriminate the assets to be considered "winners" and "losers." Note that in the MLCX biases over-reaction is concentrated in the period of financial crisis, and in the remaining periods of statistically significant biases, are obtained by sub-reactions. The latter would be in times of moderate levels of uncertainty. In the Small Caps the behavioral responses in 2005 and 2007 occur in reverse to those observed in the Mid-Large Cap. Now in times of crisis would have a marked conservatism while near the end of trading on the Bovespa speaker, accompanied by an increase of negotiations, there is an overreaction by investors. The other heuristics in SMLL occurred at the end of the period studied, this being a under-reaction and the other a over-reaction and the second occurring in a period of financial-economic more positive than the first. As regards the under / over-reactivity in both types, there is detected a predominance of either, which probably be different in the context in MLCX without crisis. For the period in which such phenomena occur in a statistically significant to note that, in most cases, such phenomena occur during the periods for MLCX while in SMLL not only biases are less present as there is no concentration of these at any time . Given the above, it is believed that while detecting the presence of bias behavior at certain times, these do not tend to appear to a specific type or heuristics and while there were some indications of a seasonal pattern in Mid- Large Caps, the same behavior does not seem to be repeated in Small Caps. The tests would then suggest that momentary failures in the Efficient Market Hypothesis when tested in semistrong form as stated by Behavioral Finance. This result confirms the theory by stating that not only rationality, but also human irrationality, is limited because it would act rationally in many circumstances
Resumo:
O objetivo deste trabalho de investigação é o de procurar compreender o impacto da estrutura organizacional de dois hospitais públicos portugueses com diferentes figuras jurídicas, na execução dos seus objetivos, através da perceção dos seus colaboradores. De modo a atingirmos o nosso objetivo, recorremos à metodologia do estudo de caso, efetuado a cada um dos hospitais escolhidos. O principal instrumento de recolha de dados é o questionário, efetuado a uma população que é constituída por uma amostra aleatória simples e estratificada em classes de cada um dos hospitais. Para além de não terem sido encontradas diferenças significativas, nas áreas analisadas, entre os dois hospitais, este estudo revelou-nos ainda que a sua estrutura organizacional deve ser mais orgânica, no sentido de uma estrutura matricial, mantendo, no entanto, a parte burocrática que advêm da elevada profissionalização do seu pessoal e os principais mecanismos de coordenação. Este trabalho pretende dar um contributo no conhecimento da forma como os gestores dos hospitais podem controlar e modificar a estrutura e o desenho da organização e de que forma essas modificações podem vir a influenciar a execução dos seus objetivos. ABSCTRAT: The purpose of this research work is to seek to understand the organizational structure’s impact of two portuguese public hospitals, with different legal forms, in the implementation of their objectives through its collaborators' perception. ln order to achieve our purpose, we have used the case study methodology performed in each one of the chosen hospitals. The main instrument for data collection is the questionnaire, made to a population consisting of a simple and stratified into classes random sample from each one of the hospitals. Besides not having been found any significant differences between the two hospitals, this study has also revealed to us that its organizational structure should be more organic, towards a matrix structure, although maintaining the bureaucratic part arising from the high professionalization of its personnel and the main coordination mechanisms. This work aims to contribute to the knowledge of how hospital managers can control and modify the organization's structure and design and how those modifications may come to influence the implementation of their objectives.