Regional Inequality, Poverty and Economic Integration in Brazil.

Gains and losses from trade liberalization are often unevenly distributed inside a country. For example, if budget shares vary according to household income, changes in commodity prices will redistribute an overall welfare change between household types. Household incomes will also be differentially affected. Sectoral differences in factor-intensity mean that changes in industrial structure cause redistribution of income between primary factors. Particular primary factors (such as capital, or less skilled labour) may contribute disproportionately to the incomes of certain household types. The fortunes of such households indirectly depend on the prospects of particular sectors. We emphasize these distributive issues, especially those arising from the income side. At the same time we distinguish households by regions (within the country). The regional distinction sharpens the contrast between groups of households. Particular regions have their own patterns of economic activity and so are differently affected by changes in the industrial protection structure. Since regional household incomes depend closely on value-added from local industries, economic change will tend to redistribute income between regional households. If the regional concentration of poverty is more than we could predict by regional primary factor endowments and industry structure, the addition of a regional dimension will add power to our analysis of income distribution beyond the mere addition of interesting regional detail. The paper deals with these issues more fully. We extend previous regional modeling of Brazil to include the intra-household dimension, addressing poverty and income distribution issues that may be caused by trade integration. An applied general equilibrium (AGE) inter-regional model of Brazil underlies our analysis, with a detailed specification of households. The model is static and solved with GEMPACK. The Representative Household (RH) hypothesis is abandoned; instead a micro-simulation (MS) model is used to track changes in household income and expenditure patterns. This micro-simulation model is built upon two Brazilian household studies: (1) the Household Budget Survey (POF, IBGE, 1999) covers detailed expenditure patterns for 16,013 households and 11 regions in Brazil in 1996; (2) the National Household Sample Survey (PNAD, IBGE, 1997) is a yearly survey that includes detailed information about household employment and income sources, with 331,263 observations. We integrate the two data sources to produce a detailed mapping of expenditure and income sources for 250,000 Brazilian households, distinguishing 50 activities, 80 commodities, and 27 regions. We link the AGE and MS models together, solving them iteratively to get consistency between results. After a shock the AGE model communicates changes in wages and employment by industry and labour type to the MS model that individually simulates the changes in employment, income and expenditure patterns for each household. The new expenditure pattern is then communicated to the AGE model, and the process is repeated until the two models converge. The final results from the MS model enable us to estimate changes in poverty and income distribution measures, both nationally and for regions within Brazil. We use the model to analyze poverty and income distribution impacts of the Free Trade Area of Americas formation upon the Brazilian economy. In the particular simulation we examine, freer trade leads to increased employment, especially for lower-paid workers. Poor households, which contain more enemployed adults, benefit most. This leads to a reduction in poverty in all 27 Brazilian states.

Would Trade Liberalization Help the Poor of Brazil?

This paper addresses the potential effects of world agricultural trade liberalization on poverty and regional income distribution in Brazil, using an inter-regional applied general equilibrium (AGE) and a micro-simulation model of Brazil tailored for income distribution and poverty analysis by using a detailed representation of households. The model distinguishes 10 different labor types and has 270 different household expenditure patterns. Income can originate from 41 different production activities located in 27 different regions in the country. The AGE model communicates to a micro-simulation model that has around 112,000 Brazilian households and 264,000 adults. Poverty and income distribution indices are computed over the entire sample of households and persons, before and after the policy shocks. The simulated trade liberalization scenario causes agriculture to expand considerably and so, given the importance that agriculture still has for the poorest in Brazil, it has positive impacts on poverty in Brazil. The only states which show an increase in the number of poor households are Sao Paulo and Rio de Janeiro, where the bulk of the manufacturing activities in Brazil are concentrated. There is an even more positive impact on inequality. The higher fall in the poverty gap is shown to occur mainly on the poorest household groups, suggesting that the poorest among Brazil’s poor would benefit more from global trade liberalization.Distorted incentives, agricultural and trade policy reforms, national agricultural development, Agricultural and Food Policy, International Relations/Trade, F13, F14, Q17, Q18,

Ethanol expansion and indirect land use change in Brazil

In this paper we analyze the Indirect Land Use Change (ILUC) effects of ethanol production expansion in Brazil through the use of an inter-regional, bottom-up, dynamic general equilibrium model calibrated with the 2005 Brazilian I-O table. A new methodology to deal with ILUC effects is developed, using a transition matrix of land uses calibrated with Agricultural Censuses data. Agriculture and land use are modeled separately in each of 15 Brazilian regions with different agricultural mix. This regional detail captures a good deal of the differences in soil, climate and history that cause particular land to be used for particular purposes. Brazilian land area data distinguish three broad types of agricultural land use, Crop, Pasture, and Plantation Forestry. Between one year and the next the model allows land to move between those categories, or for Unused land to convert to one of these three, driven initially by the transition matrix, changing land supply for agriculture between years. The transition matrix shows Markov probabilities that a particular hectare of land used in one year for some use would be in an other use next period. These probabilities are modified endogenously in the model according to the average unit rentals of each land type in each region. A simulation with ethanol expansion scenario is performed for year 2020, in which land supply is allowed to increase only in states located on the agricultural frontier. Results show that the ILUC effects of ethanol expansion are of the order of 0.14 hectare of new land coming from previously unused land for each new hectare of sugar cane. This value is higher than values found in the Brazilian literature. ILUC effects for pastures are around 0.47. Finally, regional differences in sugarcane productivity are found to be important elements in ILUC effects of sugar cane expansion.

The Doha Round, poverty, and regional inequality in Brazil

This paper addresses the potential effects of the Doha round of trade negotiations on poverty and income distribution in Brazil, using an applied general equilibrium (AGE) and micro-simulation model of Brazil tailored for income distribution and poverty analysis. Of particular importance is the fact that the representative household hypothesis is replaced by a detailed representation of households. The model distinguishes 10 different labor types and has 270 different household expenditure patterns. Income can originate from 41 different production activities (which produce 52 commodities), located in 27 different regions in the country. The AGE model communicates to a micro-simulation model that has 112,055 Brazilian households and 263,938 adults. Poverty and income distribution indices are computed over the entire sample of households and persons, before and after the policy shocks. Model results show that even important trade policy shocks, such as those applied in this study, do not generate dramatic changes in the structure of poverty and income distribution in the Brazilian economy. The simulated effects on poverty and income distribution are positive, but rather small. The benefits are concentrated in the poorest households.Environmental Economics&Policies,Economic Theory&Research,Poverty Assessment,Inequality,Services&Transfers to Poor

TwistBytes - identification of Cuneiform languages and German dialects at VarDial 2019

We describe our approaches for the German Dialect Identification (GDI) and the Cuneiform Language Identification (CLI) tasks at the VarDial Evaluation Campaign 2019. The goal was to identify dialects of Swiss German in GDI and Sumerian and Akkadian in CLI. In GDI, the system should distinguish four dialects from the German-speaking part of Switzerland. Our system for GDI achieved third place out of 6 teams, with a macro averaged F-1 of 74.6%. In CLI, the system should distinguish seven languages written in cuneiform script. Our system achieved third place out of 8 teams, with a macro averaged F-1 of 74.7%

Operational framework for healthcare supplier selection under a fuzzy multi-criteria environment

PURPOSE: This paper studies how a logistics service provider managing the suppliers for several hospitals can innovatively improve the supplier selection process. The paper examines the attribute set for healthcare supplier selection such as response time, reliability, stock quantity, in order to realize optimal cube utilization, cost, and customer satisfaction. This operational framework developed can help a logistics service provider in supplier order management based on the selected criteria set, criteria weight calculation, and supplier ranking under a fuzzy multi-criteria decision making (MCDM) environment. DESIGN/METHODOLOGY/APPROACH: We adopt a multi-objective decision making approach based on three main criteria of service, cost, and disruption risk. The following modelling approaches are used – (i) the criteria weight are found using fuzzy AHP, and (ii) the ranking of the suppliers are found through fuzzy TOPSIS. FINDINGS: Sometimes a logistics service provider needs to include multiple suppliers for one product instead of the current single supplier policy, in order to share the risks especially when dealing with public health emergencies and uncertainty in disruptions. VALUE: This is a practical industrial problem dealing with various facets of MCDM being applied on actual data, so as to bring to bear the actual challenges of using MCDM in dealing with healthcare supplier management. RESEARCH LIMITATIONS/IMPLICATIONS: Some future extensions and current limitations of this work will include the sole suppliers, namely, suppliers who are exclusive providers of certain unique products mandated by the healthcare regulators, and to include the effects of shelf life and perishability into the products such as the biodegradable sutures. PRACTICAL IMPLICATIONS: This study can help the healthcare logistics service provider to use data judiciously to select and manage the suppliers optimally, without the unnecessary incurrence of buffer stock at the warehouse, which can lead a high degree of obsolescence

Quantifying responses of dung beetles to fire disturbance in tropical forests:the importance of trapping method and seasonality

Understanding how biodiversity responds to environmental changes is essential to provide the evidence-base that underpins conservation initiatives. The present study provides a standardized comparison between unbaited flight intercept traps (FIT) and baited pitfall traps (BPT) for sampling dung beetles. We examine the effectiveness of the two to assess fire disturbance effects and how trap performance is affected by seasonality. The study was carried out in a transitional forest between Cerrado (Brazilian Savanna) and Amazon Forest. Dung beetles were collected during one wet and one dry sampling season. The two methods sampled different portions of the local beetle assemblage. Both FIT and BPT were sensitive to fire disturbance during the wet season, but only BPT detected community differences during the dry season. Both traps showed similar correlation with environmental factors. Our results indicate that seasonality had a stronger effect than trap type, with BPT more effective and robust under low population numbers, and FIT more sensitive to fine scale heterogeneity patterns. This study shows the strengths and weaknesses of two commonly used methodologies for sampling dung beetles in tropical forests, as well as highlighting the importance of seasonality in shaping the results obtained by both sampling strategies

Investigating citizens’ information needs through participative research : a pilot study in Candangolandia, Brazil

This paper reports on a pilot investigation in Candangolandia, near Brasilia, in Brazil in 2010. The purpose of the investigation was to determine the efficacy of a participative research methodology for investigating: people’s information needs; developing an information literate approach to problem solving; fostering problem solving and collaborative capabilities and enhancing a sense of citizenship. The research applied techniques that enabled people to collaborate and identify their information needs, as well as information solutions, through the exploration of a social problem that they had identified. Participatory Research and Action (PRA) was the chosen methodology. Nineteen techniques were applied. The findings indicated that it was possible to use PRA to explore information needs. Participants were able to identify, classify and prioritize information needs and use information in order to suggest solutions for the selected social problem. The intervention helped develop collaborative problem solving skills and a heightened sense of citizenship

Perícia da ponte de ferro de Morretes (PR) com auxílio da representação em nuvem de pontos

Orientadores: Prof. Dr. Luis Augusto Koenig Veiga, Prof. Dr. Carlos Aurélio NadalMonografia (graduação) - Universidade Federal do Paraná. Setor de Ciências da Terra. Curso de Graduação em Engenharia Cartográfica e de AgrimensuraInclui referênciasResumo : Atualmente existem diferentes tipos de modais de transporte utilizados ao redor mundo, e a aplicabilidade de cada modalidade está relacionada com fatores como a topografia, hidrologia, clima, custos, velocidade e entre outros fatores característicos do local. No Brasil, o modal utilizado em larga escala é o rodoviário, visto que a malha brasileira é muito extensa. Deste modo, dada a importância desta modalidade para a gestão do país, a manutenção das vias e das Obras de Artes Especiais são de extrema importância para a segurança e comodidade dos usuários. Posto isto, é necessário realizar vistorias rotineiras e perícias dos elementos que fazem parte da estrutura deste modal. Assim, foi realizado uma perícia em uma ponte situada na cidade de Morretes/PR, a qual constatou as características, tipos e condições das patologias existentes. Para obtenção de dados mais detalhados e sugestão de melhorias na estrutura, realizou-se uma varredura a laser através de um Laser Scanner terrestre e um aerolevantamento empregando-se um Veículo Aéreo Não Tripulado. Com isso, foram demonstrados os pontos críticos e a situação da ponte através de um laudo, empregando-se métodos de visualização cartográfica.Abstract : Currently there are different types of transport modes used around the world, and the applicability of each modality is related to factors such as topography, hydrology, climate, costs, speed and among other factors characteristic of the site. In Brazil the modal used on a large scale is the motorways, since the Brazilian network is very extensive. Thus, given the importance of this modality for the management of the country, the maintenance of motorways and special art structures are extremely important for the safety and convenience of users. That said, it is necessary to carry out routine surveys and inspections of the elements that are part of the structure of this modal. Thus, an inspection was carried out on a bridge located in the city of Morretes/PR, which verified the characteristics, types and conditions of the existing structure. To obtain more detailed data and suggest improvements in the structure, a laser scan was performed through a terrestrial laser scanner and an aerial survey using an UAV. With this, the critical points and the situation of the bridge were demonstrated through a report, using cartographical visualization methods