Agricultural trade liberalization and poverty in Brazil:

"This paper addresses the potential effects of a world agricultural trade liberalization scenario on poverty and regional income distribution in Brazil, using an interregional applied general equilibrium (AGE) and microsimulation model of Brazil, tailored for income distribution and poverty analysis. The model distinguishes 10 different labor types and 270 different household expenditure patterns. Income can originate from 41 different production activities (which produce 52 commodities), located in 27 states in the country. The AGE model is linked to a microsimulation model that includes 112,055 Brazilian households and 263,938 adults. The scenario is generated from a previous run of the MIRAGE model, which assesses the likely impacts of a Doha Development Agenda agreement, based on the draft on agriculture by Crawford Falconer and the draft on nonagricultural market access by Don Stephenson. The results of this global scenario are transmitted to the Brazilian model. Poverty and income distribution indexes are computed over the entire sample of households and persons, before and after the introduction of policy shocks. Model results show that the simulated trade policy shocks have positive effects on poverty and income distribution in Brazil. The simulated effects on poverty and income distribution are positive in aggregate, with benefits concentrated in the poorest households. The results, however, differ across the Brazilian territory, worsening in some important states, where the poverty and inequality indicators increase. The gains in agriculture are found to benefit all the agents involved, from workers to small producers to large farmers, rejecting the idea that just large farmers would gain." from authors' abstractEconomic integration, Poverty, Income distribution, Globalization, Markets, trade,

Automatic crater detection using DEM and circular coherency analysis - A case study on South American craters

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Infierno en el paraíso

Los primeros colonizadores portugueses que llegaron a Brasil tuvieron un impacto visual ante un exuberante ambiente natural. Una de las impresiones propiciada por esa visión inicial era la de que habían llegado al paraíso. La carta escrita por Pero Vaz de Caminha describiendo al rey de Portugal la llegada al Brasil está llena de elementos que refuerzan tal visión. Esa idea de paraíso abrió paso a construcciones que permitieron explicar y justificar la propia llegada de los colonizadores y ratificar el derecho de posesión a las tierras que decían haber encontrado y que a ellos estaban reservadas. El objetivo de este artículo es el de mostrar que colonizadores, religiosos y otras estructuras de poder construyeron simbolizaciones y elaboraron interpretaciones para justificar la posesión de las tierras brasileñas y, por otra parte, establecer como justa la esclavización y la violencia perpetrada contra indígenas y africanos.The Portugueses who first landed in Brazil experienced a visual impact before an exuberant natural environment. One of the views offered by that vision was that they have arrived in paradise. The letter written by Pero Vaz de Caminha to the King of Portugal describing the arrival in Brazil is full of elements that reinforce this view. This idea of paradise allowed constructions that permitted to explain and justify the arrival of the colonizers and to ratify the right of ownership of land that were found and that were reserved to them. The aim of this paper is to show that colonizers, religious and other structures of power developed interpretations to justify the possession of Brazilian land and to establish as just the enslavement and the violence against indigenous and Africans

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,

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