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Registro Completo
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Biblioteca(s): |
Embrapa Unidades Centrais. |
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Data corrente: |
27/10/2017 |
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Data da última atualização: |
31/10/2017 |
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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. |
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Afiliação: |
GERALDO DA SILVA E SOUZA, SGI; ELIANE GONCALVES GOMES, SGI. |
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Título: |
A stochastic frontier approach in the presence of endogeneity for the brazilian agriculture. |
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Ano de publicação: |
2017 |
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Fonte/Imprenta: |
In: INTERNATIONAL CONFERENCE ON AGRO BIG DATA AND DECISION SUPPORT SYSTEMS IN AGRICULTURE, 1., 2017, Montevideo. Proceedings... Montevideo: Universidad de la República, 2017. p. 159-161. |
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ISBN: |
978-9974-0-1514-2 |
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Idioma: |
Inglês |
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Notas: |
Editores Héctor Cancela, Luís Miquel Plà-Aragonés, Antonio Mauttone, Adela Pagès-Bernaus. |
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Conteúdo: |
Using farmers data comprising the Brazilian agricultural census of 2006, we fit a stochastic frontier model in the presence of endogeneity. The endogenous variable affecting efficiency is the probability of negative net income. Additionally we investigate the effects of technical assistance and agricultural research in efficiency. Production is modeled in the Cobb-Douglas family with three inputs: expenditures on labor, on land, and on other technical inputs. The response is gross income. Technological inputs are dominant, followed by labor and land. Research and technical assistance contribute significantly to reduce inefficiency and the probability of negative net income contributes positively to inefficiency. |
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Thesagro: |
Análise estatística; Assistência técnica; Censo agrícola; Pesquisa agrícola; Renda. |
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Thesaurus NAL: |
Agricultural research; Census of agriculture; Probabilistic risk assessment; Stochastic processes. |
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Categoria do assunto: |
-- |
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Marc: |
LEADER 01734nam a2200253 a 4500
001 2078326
005 2017-10-31
008 2017 bl uuuu u00u1 u #d
020 $a978-9974-0-1514-2
100 1 $aSOUZA, G. da S. e
245 $aA stochastic frontier approach in the presence of endogeneity for the brazilian agriculture.$h[electronic resource]
260 $aIn: INTERNATIONAL CONFERENCE ON AGRO BIG DATA AND DECISION SUPPORT SYSTEMS IN AGRICULTURE, 1., 2017, Montevideo. Proceedings... Montevideo: Universidad de la República, 2017. p. 159-161.$c2017
500 $aEditores Héctor Cancela, Luís Miquel Plà-Aragonés, Antonio Mauttone, Adela Pagès-Bernaus.
520 $aUsing farmers data comprising the Brazilian agricultural census of 2006, we fit a stochastic frontier model in the presence of endogeneity. The endogenous variable affecting efficiency is the probability of negative net income. Additionally we investigate the effects of technical assistance and agricultural research in efficiency. Production is modeled in the Cobb-Douglas family with three inputs: expenditures on labor, on land, and on other technical inputs. The response is gross income. Technological inputs are dominant, followed by labor and land. Research and technical assistance contribute significantly to reduce inefficiency and the probability of negative net income contributes positively to inefficiency.
650 $aAgricultural research
650 $aCensus of agriculture
650 $aProbabilistic risk assessment
650 $aStochastic processes
650 $aAnálise estatística
650 $aAssistência técnica
650 $aCenso agrícola
650 $aPesquisa agrícola
650 $aRenda
700 1 $aGOMES, E. G.
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