According to Portfolio Theory, by combining assets that show a correlation inferior to one (1) among their individual returns, it becomes possible to create portfolios that reduce risk without damaging expected return. Crop and livestock futures contracts and company stocks show such a characteristic, which signals potential benefits when forming portfolios combining these two types of assets. This investment strategy is not often utilized in Brazil. The purpose of our research was to assess whether such an asset combination is actually advantageous to those creating investment portfolios in the Brazilian market. Our evaluation used instruments of analysis developed by Markowitz in Portfolio Theory and data about the return from crop and livestock futures contracts and stocks. The data was gathered from the Brazilian Futures and Commodities Exchange (BM&F) and Brazils National Association of Open Market Institutions (ANDIMA) between July 1994 and December 1998. The results of this work showed that the combination of these two types of assets in investment portfolios can be an interesting portfolio management alternative.

According to Portfolio Theory, by combining assets that show a correlation inferior to one (1) among their individual returns, it becomes possible to create portfolios that reduce risk without damaging expected return. Crop and livestock futures contracts and company stocks show such a characteristic, which signals potential benefits when forming portfolios combining these two types of assets. This investment strategy is not often utilized in Brazil. The purpose of our research was to assess whether such an asset combination is actually advantageous to those creating investment portfolios in the Brazilian market. Our evaluation used instruments of analysis developed by Markowitz in Portfolio Theory and data about the return from crop and livestock futures contracts and stocks. The data was gathered from the Brazilian Futures and Commodities Exchange (BM&F) and Brazil’s National Association of Open Market Institutions (ANDIMA) between July 1994 and December 1998. The results of this work showed that the combination of these two types of assets in investment portfolios can be an interesting portfolio management alternative.

The growth of non-agricultural activity since the 1980s has reconfigured the economic and social dynamic in Brazils rural areas. Our paper intends to describe the impact of this growth on income distribution in rural Brazil. We made use of a method of decomposition of two indicators of income distribution applied to1992 and 1999 Brazilian National Household Sample Survey (PNAD) data: the variation coefficient and the Gini index. It was observed that non-agricultural activities have increased the concentration of rural income and that this phenomenon is more prominent in Region I (states of Brazils Northeast and the state of Tocantins) and Region IV (states of São Paulo and Mato Grosso do Sul and the Distrito Federal). It was found that the income concentrating effect of each non-agricultural activity branch (commerce, transformation industry, administration, service) differed by region. In Region I, income from the "Social/Public Administration and Other Activities branch " (a PNAD designation) presents a coefficient of relative concentration greater than a unit, which indicates that income from this activities branch acts to increase the concentration of non-agricultural income in this region. In Region IV, income from industrial activities and from Social/ Public Administration and Other Activities both present coefficients of relative concentration greater than a unit; therefore, both branches act to increase the concentration of income from non-agricultural activities in this region.

The growth of non-agricultural activity since the 1980s has reconfigured the economic and social dynamic in Brazil’s rural areas. Our paper intends to describe the impact of this growth on income distribution in rural Brazil. We made use of a method of decomposition of two indicators of income distribution applied to1992 and 1999 Brazilian National Household Sample Survey (PNAD) data: the variation coefficient and the Gini index. It was observed that non-agricultural activities have increased the concentration of rural income and that this phenomenon is more prominent in Region I (states of Brazil’s Northeast and the state of Tocantins) and Region IV (states of São Paulo and Mato Grosso do Sul and the Distrito Federal). It was found that the income concentrating effect of each non-agricultural activity branch (commerce, transformation industry, administration, service) differed by region. In Region I, income from the "Social/Public Administration and Other Activities branch " (a PNAD designation) presents a coefficient of relative concentration greater than a unit, which indicates that income from this activities branch acts to increase the concentration of non-agricultural income in this region. In Region IV, income from industrial activities and from Social/ Public Administration and Other Activities both present coefficients of relative concentration greater than a unit; therefore, both branches act to increase the concentration of income from non-agricultural activities in this region.

The work analyzes the political/institutional links and technological formats of agroforestry systems in the Caí and Taquari river valleys of the Brazilian state of Rio Grande do Sul in an effort to determine a value for their ability to endure: their sustainability. Sustainability indicators are created for the analysis of these systems. The indicator values will be used to create a Sustainability Index (SI) for each studied agroforestry system and to identify each systems sustainability pattern. The different agroforestry systems will also be classified according to their structural characteristics. Analysis of the identified patterns and indexes will reveal the adequacy of the methodology employed and the consequence of each systems institutional arrangement, technological format, and sustainability pattern. The agro forestry system that combines exotic forest species with watermelon and the system that combines native forest species with citrus fruit stand out as being most sustainable while, from an institutional perspective, those systems that were linked in an "associative" arrangement had the highest sustainability index values.

The work analyzes the political/institutional links and technological formats of agroforestry systems in the Caí and Taquari river valleys of the Brazilian state of Rio Grande do Sul in an effort to determine a value for their ability to endure: their sustainability. Sustainability indicators are created for the analysis of these systems. The indicator values will be used to create a Sustainability Index (SI) for each studied agroforestry system and to identify each system’s sustainability pattern. The different agroforestry systems will also be classified according to their structural characteristics. Analysis of the identified patterns and indexes will reveal the adequacy of the methodology employed and the consequence of each system’s institutional arrangement, technological format, and sustainability pattern. The agro forestry system that combines exotic forest species with watermelon and the system that combines native forest species with citrus fruit stand out as being most sustainable while, from an institutional perspective, those systems that were linked in an "associative" arrangement had the highest sustainability index values.