Carlos Roberto Ferreira

Aposentadorias e distribuição da renda no Brasil: uma nota sobre o período 1981 a 2001

Esse estudo avalia a contribuicao das aposentadorias e pensoes para a desigualdade da distribuicao do rendimento domiciliar per capita no Brasil, atraves da tecnica de decomposicao do indice de Gini. Concluiu-se que o rendimento das aposentadorias e pensoes contribuem para aumentar a desigualdade da distribuicao da renda no Brasil.

As aposentadorias e pensões e a concentração dos rendimentos domiciliares per capita no Brasil e na sua área rural: 1981 a 2003

This work has as objective to analyze the participation and the contribution of the household income “retirements and pensions†for the inequality of the distribution of the per capita household income in Brazil and Rural Brazil, in the period from 1981 to 2003. For that, it revises the literature about concentration of income and social welfare in the country, and it uses the Gini index components decomposition methodology: revenue of the main work, revenue of other works, retirements and pensions, donations, rent revenues and other revenues (interests, dividends, etc.). It stands out, in the results, the growing participation of the retirements and pensions and in the 1990`s in relation to the previous decade, with larger intensity in rural Brazil, explained by the social and economic policies of the period. The contribution of that portion of household income for the concentration of income is significant to Brazil in 9 of the 18 analyzed years, and to rural Brazil, starting from the decade of 1990.

Agropecuária brasileira: desempenho regional e determinantes de produtividade

This study aims to measure the labor and land net productivity in Brazil, major regions and federation units. It also identifies the factor that affects productiveness based on data provided by the Census of Agriculture 2006, from the Brazilian Institute of Geography and Statistics (IBGE). Thus, the productiveness may not be uniform in Brazilian agriculture due to the diversity in each region and differences related to the structure of productivity. The multiple linear regression models were used to identify factors that affect agriculture production and performance in Brazil. As a result, the best production index, which is related to labor and land productivity, is located in the South and Southeast Brazil. Some of the highest values are mainly concentrated only in some regions. Afterwards, an overall analysis of the figures indicated that the agricultural input and mechanization have presented a positive agricultural participation in most Brazilian states.