The People’s Republic of China and Latin America: the impact of Chinese economic growth on Latin American exports

The role of the People’s Republic of China in the world economy has grown substantially in recent decades, turning it into a strategic foreign trading partner for much of Latin America. Bilateral trade between the region and China totalled US$ 120 billion in 2009. This study analyses the income elasticity of the region’s exports to the country. The findings show that, assuming real gross domestic product (gdp) growth in China of about 7% a year, the value of Latin American exports to China (at 2005 prices) can be expected to increase by an average of about 10% a year between 2014 and 2019. In a more conservative scenario of 4.5% average annual growth in the Chinese economy over the period, exports would rise by about 7% a year.

Avaliação da qualidade dos serviços hospitalares com a adaptação do modelo SERVQUAL em dois hospitais de Bauru - SP

Coordenação de Aperfeiçoamento de Pessoal de Nível Superior (CAPES)

Política cambial brasileira e seus efeitos nas exportações paraenses: 1990 - 2003

O principal objetivo da dissertação é analisar os efeitos que a política cambial brasileira promoveu nas exportações F.O.B. de bauxita, alumínio primário, minério de ferro e caulim. Para tal, é desenvolvido um modelo econométrico, Modelo de ajustamento parcial de Nerlove, procurando avaliar os padrões de reação das exportações no curto e longo prazos. Os dados utilizados são trimestrais e cobrem o período de 1990 a 2003. As regressões foram estimadas através do método dos Mínimos Quadrados Ordinários (MQO). As variáveis elegidas como explicativas foram a taxa de câmbio real efetiva brasileira, a renda mundial, a capacidade produtiva da indústria brasileira, o produto interno bruto da indústria brasileira e uma variável dummy (que capta a influência da lei Kandir). Os resultados das regressões mostram que: as exportações são relativamente sensíveis ao crescimento da economia brasileira e mundial; e, a taxa de câmbio real efetiva brasileira (proxy da política cambial) produziu efeitos importantes na evolução das exportações do setor mínero-metalúrgico paraense.

Neoliberalismo e corrupção: análise comparativa dos ajustes neoliberais no Brasil de Fernando Collor (1990-1992) e no México de Carlos Salinas (1988-1992) o incremento da corrupção e seus custos sociais

Coordenação de Aperfeiçoamento de Pessoal de Nível Superior (CAPES)

Emergy diagnosis and reflections towards Brazilian sustainable development

This paper presents an environmental emergy-based diagnosis of Brazil compared with Russia, India, China, South Africa and United States. Reflections on the Brazilian sustainable development are presented and discussed based on the evaluations published since 1979. The variation of the emergy per capita for Brazil from 1979 to 2007 indicates that the country's growth is tied to the exploitation of non renewable natural resources which do not directly reflect in the welfare of the population. The total emergy exported per unit of gross domestic product increased in the period, suggesting that the country exports more emergy than that contained in the money received for the exportation. With the help of the emergy indices, the future development of Brazil is explored and discussed. The comparison among the BRICS (Brazil, Russia, India, China and South Africa) countries and United States indicates that what may be appropriate and usable within one country may not be within another and that to achieve the global sustainability two concomitant actions may occur: (i) the reduction of the total emergy use in developed economies, and (ii) the reduction of indigenous resources exportation in developing economies. (C) 2013 Elsevier Ltd. All rights reserved.

Políticas de apoio a gestão da arborização urbana: uma análise do programa município verde azul

Pós-graduação em Agronomia - FEIS

Estudo de caso: aplicação do método DMAIC-White Belt- na redução de latas amassadas em uma produção de leite em pó

This work consists of the implementation of the steps Define, Measure , Analyze , Improve and Control ( DMAIC ) to develop a Six Sigma project in an industry the food industry. The objective was to demonstrate a potential for reducing the occurrence of crushed cans in potting milk powder industry in a White Belt project. The food industry accounts for about 9 % of Brazil's gross domestic product ( GDP ), generating thousands of jobs . Among the major sectors of the food industry is the manufacturing sector of milk , occupies approximately 10 % of the total turnover of the food industry . Brazil is considered today one of the eight largest producers of milk powder in the world. The milk powder is packed , mostly for aluminum cans that are lined internally with varnishes and other materials to protect the milk of metals from aluminum. When the cans are dented food protection is compromised and may lead ingestion causing dis-eases such as botulism. Aiming to solve the problem of dented cans methodology was used as a case study with a quantitative approach through the DMAIC method. Some quality tools used in each step of the project as brainstorming , cause and effect diagram , flowchart , ef-fort and impact matrix, 5W1H , among other Pareto diagram is presented . A survey about the disposal of cans in the company verifying a mean loss and, from this histor-ical , a goal loss was calculated was performed . With the target set we calculated the annual saving design . During application of DMAIC was found that the highest rate of loss occurred in transportation between the factory and the factory that fills cans milk . Several actions were taken to resolve problems that resulted in dented cans and the first two months of phase control it was found that the smaller losses calculated target resulting in a saving for the company. The short time of implementa-tion of the Improve phase did not allow a more detailed a ...

Análise da influência da iluminação de rodovias federais com a redução do número de acidentes

The increasing rate of traffic accidents, followed by the high rate of mortality due to these occurrences, favored to the classification of traffic accidents as a public health problem in Brazil. These accidents consume a significant portion of Gross Domestic Product (GDP), especially related to the victims. Considering this scenery with many tragedies and resources being spent only in the end, this paper seeks to examine the influence of federal highways lighting by reducing the number of accidents. Federal Highways sections that received lighting were taken up for study, therefore a survey of statistical data has been raised considering the accidents before and after the route had been illuminated. Taking advantage of the results obtained, an economic analysis has been made considering the amounts consumed by traffic accidents versus the values required for the installation of lighting on highways

Prevalence of the hepatitis C virus among university employees in São Paulo, southeastern Brazil: predictive factors and geoprocessing spatial analysis

Background There are limited studies on the prevalence and risk factors associated with hepatitis C virus (HCV) infection. Objective Identify the prevalence and risk factors for HCV infection in university employees of the state of São Paulo, Brazil. Methods Digital serological tests for anti-HCV have been performed in 3153 volunteers. For the application of digital testing was necessary to withdraw a drop of blood through a needlestick. The positive cases were performed for genotyping and RNA. Chi-square and Fisher’s exact test were used, with P-value <0.05 indicating statistical significance. Univariate and multivariate logistic regression were also used. Results Prevalence of anti-HCV was 0.7%. The risk factors associated with HCV infection were: age >40 years, blood transfusion, injectable drugs, inhalable drugs (InDU), injectable Gluconergam®, glass syringes, tattoos, hemodialysis and sexual promiscuity. Age (P=0.01, OR 5.6, CI 1.4 to 22.8), InDU (P<0.0001, OR=96.8, CI 24.1 to 388.2), Gluconergam® (P=0.0009, OR=44.4, CI 4.7 to 412.7) and hemodialysis (P=0.0004, OR=90.1, CI 7.5 – 407.1) were independent predictors. Spatial analysis of the prevalence with socioeconomic indices, Gross Domestic Product and Human Development Index by the geoprocessing technique showed no positive correlation. Conclusions The prevalence of HCV infection was 0.7%. The independent risk factors for HCV infection were age, InDU, Gluconergan® and hemodialysis. There was no spatial correlation of HCV prevalence with local economic factors.

Diretrizes para o uso da gestão de design a partir de um diagnóstico setorial das microrregiões de Araçatuba e Birigui do Estado de São Paulo

Coordenação de Aperfeiçoamento de Pessoal de Nível Superior (CAPES)

A influência das variáveis do lixamento tubular na qualidade das peças de Eucalyptus grandis

In 2010, the Brazilian forest sector is represented by about 30,000 companies producing US$ 21 billion annually and account for approximately 5% of the gross domestic product (GDP) in the country. The sanding process is highly demanded in various stages of industrialization of the wood, when there is a need for a better quality surface finishing. The objective of this work was to analyze the influence of cutting speed and sandpaper granulometry on both the surface finishing of pieces of Eucalyptus grandis processed through tubular sanding and on the sanding efforts (force and power of sanding). Four cutting speeds were used (19.5, 22.7, 26 and 28.1 m/s), one advance speed (16 m/min) and three sets of sandpaper (80-100, 80-120 and 100-120) being one for chipping and another for finishing, respectively. A central data acquisition system was set up to capture the variables (cutting power, acoustic emission and vibration) in real time. The cutting force was obtained indirectly, through a frequency inverter. The roughness of the parts was measured by a roughness meter before and after sanding. The highest cutting speed used (28.1 m/s) consumed more power and generated more acoustic emission among the four speeds tested. Regarding the vibration, the lower cutting speed (19.5 m/ s) generated the highest vibration in the sander machine. It is concluded that the range of 100-120 sandpapers resulted in values of average roughness (Ra) lower than the other sets of sandpaper used, as it resulted in better surface finishing.

Efficiency in Brazil's industrial sectors in terms of energy and sustainable development

This article evaluates the efficiency of Brazil's industrial sectors from 1996 to 2009, taking into account energy consumption and respective contributions to the country's economic and social aspects. This analysis used a mathematical programming method called Data Envelopment Analysis (DEA), which enabled, from the SBM model and the window analysis, to evaluate the ability of industries to reduce energy consumption and fossil-fuel CO2 emissions (inputs), as well as to increase the Gross Domestic Product (GDP) by sectors, the persons employed and personnel expenses (outputs). The results of this study indicated that the Textile sector is the most efficient industrial sector in Brazil, according to the variables used, followed by these sectors: Foods and Beverages, Chemical, Mining, Paper and Pulp, Nonmetallic and Metallurgical.

Previsão de demanda de veículos automotores através do modelo de regressão linear múltipla

This study aimed to model a equation for the demand of automobiles and light commercial vehicles, based on the data from February 2007 to July 2014, through a multiple regression analysis. The literature review consists of an information collection of the history of automotive industry, and it has contributed to the understanding of the current crisis that affects this market, which consequence was a large reduction in sales. The model developed was evaluated by a residual analysis and also was used an adhesion test - F test - with a significance level of 5%. In addition, a coefficient of determination (R2) of 0.8159 was determined, indicating that 81.59% of the demand for automobiles and light commercial vehicles can be explained by the regression variables: interest rate, unemployment rate, broad consumer price index (CPI), gross domestic product (GDP) and tax on industrialized products (IPI). Finally, other ten samples, from August 2014 to May 2015, were tested in the model in order to validate its forecasting quality. Finally, a Monte Carlo Simulation was run in order to obtain a distribution of probabilities of future demands. It was observed that the actual demand in the period after the sample was in the range that was most likely to occur, and that the GDP and the CPI are the variable that have the greatest influence on the developed model

Previsão de demanda de veículos automotores através do modelo de regressão linear múltipla

This study aimed to model a equation for the demand of automobiles and light commercial vehicles, based on the data from February 2007 to July 2014, through a multiple regression analysis. The literature review consists of an information collection of the history of automotive industry, and it has contributed to the understanding of the current crisis that affects this market, which consequence was a large reduction in sales. The model developed was evaluated by a residual analysis and also was used an adhesion test - F test - with a significance level of 5%. In addition, a coefficient of determination (R2) of 0.8159 was determined, indicating that 81.59% of the demand for automobiles and light commercial vehicles can be explained by the regression variables: interest rate, unemployment rate, broad consumer price index (CPI), gross domestic product (GDP) and tax on industrialized products (IPI). Finally, other ten samples, from August 2014 to May 2015, were tested in the model in order to validate its forecasting quality. Finally, a Monte Carlo Simulation was run in order to obtain a distribution of probabilities of future demands. It was observed that the actual demand in the period after the sample was in the range that was most likely to occur, and that the GDP and the CPI are the variable that have the greatest influence on the developed model

Mapping and Quantification of the Cotton Chain in Brazil

The CHAINPlan method developed by Neves (2007) is a practical tool which can be used to construct strategic plans for production chains. A preliminary step in this process includes mapping and quantifying the production chain. We present the results of applying the method to one of the most important agribusiness chains in Brazil-the cotton sector. The Gross Domestic Product for the cotton sector in the 2010-2011 crop year was estimated at nearly $19.2 billion. We show the interconnections between the links in the chain and its ability to generate revenues, taxes and jobs.