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Registro Completo |
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Biblioteca(s): |
Embrapa Unidades Centrais. |
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Data corrente: |
01/02/2016 |
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Data da última atualização: |
01/02/2016 |
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Tipo da produção científica: |
Artigo em Anais de Congresso |
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Autoria: |
SOUZA, G. da S. e; GOMES, E. G.; ALVES, E. R. de A. |
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Afiliação: |
GERALDO DA SILVA E SOUZA, SGE; ELIANE GONCALVES GOMES, SGE; ELISEU ROBERTO DE ANDRADE ALVES, DE-PR. |
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Título: |
Assessing the determinants of rural income dispersion in Brazil. |
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Ano de publicação: |
2015 |
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Fonte/Imprenta: |
In: SIMPÓSIO BRASILEIRO DE PESQUISA OPERACIONAL, 47., 2015, Porto de Galinhas, PE. Anais... Rio de Janeiro: Sobrapo, 2015. p. 582-591. |
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Idioma: |
Inglês |
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Conteúdo: |
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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Palavras-Chave: |
GMM; Income concentration; Regression. |
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Thesagro: |
Pesquisa agrícola. |
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Thesaurus Nal: |
agriculture. |
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Categoria do assunto: |
-- |
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URL: |
https://ainfo.cnptia.embrapa.br/digital/bitstream/item/138215/1/SBPO2015-Souza-et-al-GINI.pdf
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Marc: |
LEADER 01310nam a2200193 a 4500
001 2035777
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008 2015 bl uuuu u00u1 u #d
100 1 $aSOUZA, G. da S. e
245 $aAssessing the determinants of rural income dispersion in Brazil.$h[electronic resource]
260 $aIn: SIMPÓSIO BRASILEIRO DE PESQUISA OPERACIONAL, 47., 2015, Porto de Galinhas, PE. Anais... Rio de Janeiro: Sobrapo, 2015. p. 582-591.$c2015
520 $aThis 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.
650 $aagriculture
650 $aPesquisa agrícola
653 $aGMM
653 $aIncome concentration
653 $aRegression
700 1 $aGOMES, E. G.
700 1 $aALVES, E. R. de A.
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Embrapa Unidades Centrais (AI-SEDE) |
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