Assessing the determinants of rural income dispersion in Brazil.

This article has as its objective the analysis of rural income dispersion in Brazil. To this en we fit econometric regression models using the Gini index as the dependent variable, tecnology, and environmental, social and demographic indices as independent variables. The analysis is performed on a regional basis. The statistical approach uses fractional regression and generalized method of moments 9GMM) The tecnological variable crystallizes the production process uses county data collected from the Brazilian agricultural census of 2006. Tecnology is significant and dominates the relationship in all regions. The other covariates vary in regional intensity.

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Bibliographic Details
Main Authors: SOUZA, G. da S. e, GOMES, E. G., ALVES, E. R. de A.
Other Authors: GERALDO DA SILVA E SOUZA, SGE; ELIANE GONCALVES GOMES, SGE; ELISEU ROBERTO DE ANDRADE ALVES, DE-PR.
Format: Anais e Proceedings de eventos biblioteca
Language:English
eng
Published: 2016-02-01
Subjects:Income concentration, Regression, GMM., Pesquisa agrícola, agriculture.,
Online Access:http://www.alice.cnptia.embrapa.br/alice/handle/doc/1035777
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Summary:This article has as its objective the analysis of rural income dispersion in Brazil. To this en we fit econometric regression models using the Gini index as the dependent variable, tecnology, and environmental, social and demographic indices as independent variables. The analysis is performed on a regional basis. The statistical approach uses fractional regression and generalized method of moments 9GMM) The tecnological variable crystallizes the production process uses county data collected from the Brazilian agricultural census of 2006. Tecnology is significant and dominates the relationship in all regions. The other covariates vary in regional intensity.